Wind Measurements and Annual Energy Production Certification ...

Wind Measurements and
Annual Energy Production
Certification
Monte Alegre wind power complex (SC, Brazil)
MONTE ALEGRE I (29,9 MW - 13 Siemens SWT-2.3 113) Wind Park
MONTE ALEGRE II (29,9 MW - 13 Siemens SWT-2.3 113) Wind Park
MONTE ALEGRE III (29,9 MW - 13 Siemens SWT-2.3 113) Wind Park
MONTE ALEGRE IV (2,3 MW - 1 Siemens SWT-2.3 113) Wind Park
Client: Prepared by:
SPE Monte Alegre I En. Eólica Ltda
SPE Monte Alegre II En. Eólica Ltda
SPE Monte Alegre III En. Eólica Ltda
SPE Monte Alegre IV En. Eólica Ltda
1
Maurizio Motta
EMD International A/S

1 EXECUTIVE SUMMARY
The Monte Alegre wind power complex consists of four wind farms: Monte Alegre I,
II, III and IV. The energy yield of each was calculated using measurements from a mast (100
m) on site. The measurements were long-term corrected using data from the CFSR
reanalysis model. A wind model was created taking into account topographic and roughness
effects.
VILCO provided the preliminary layout that was optimized by EMD, and for which the
production was calculated, for each of the four wind farms of complex, using 40 Siemens
SWT 2,3-113 (HH=99,5 m).
The results are shown below. Losses are deducted to obtain the expected production
output. Uncertainties are evaluated and presented as probability percentiles (P50, P75, P84
and P90 values). The general recommendation from EMD is to use the P90-value based on
20 years of operation.
Table 1 - Mast measurements main results.
Data Recovery
(%)
2
October/2011-October/2012
Mean
Weibull
k A
Wind Speed - 100m [m/s] 96,2 6,24 2,00 7,04
Wind Speed - 80 m [m/s] 96,2 6,06 2,00 6,84
Wind Speed - 60 m [m/s] 96,2 5,84 6,61 2,02
Wind Direction - 100 m - 93,7 N - -
Wind Direction - 80 m - 93,7 N - -

Figure 1 - Long-term corrected (31 years) Wind Resource Map with final layouts of the four wind farms,
shown in different colors.
Table 2 – AEP and capacity factors estimates at different confidence levels for the 20-year horizon.
Monte Alegre I Monte Alegre II Monte Alegre III Monte Alegre IV
AEP
(MWh/y)
Capacity
Factor
AEP
(MWh/y)
Capacity
Factor
3
AEP
(MWh/y)
Capacity
Factor
AEP
(MWh/y)
Capacity
Factor
P50 84.018 32% 79.772 30% 79.374 30% 6.227 31%
P75 75.204 29% 72.664 28% 72.080 28% 5.620 28%
P84 71.023 27% 69.292 26% 68.619 26% 5.332 26%
P90 67.271 26% 66.267 25% 65.514 25% 5.074 25%
P95 62.523 24% 62.439 24% 61.585 24% 4.747 24%

INDEX
1 Executive Summary....................................................................................................................................... 2
2 SIte and Purpose Description.................................................................................................................... 6
3 Available Data.................................................................................................................................................. 8
3.1 Analysis and Evaluation of Data ...................................................................................................... 8
3.1.1 Height Contours ............................................................................................................................ 9
3.1.2 Roughness Classification .........................................................................................................10
3.1.3 Exclusion Zones...........................................................................................................................10
3.1.4 Wind Turbine Type....................................................................................................................11
3.1.5 Wind Turbine Layout ................................................................................................................12
4 Wind and Meteorological Data ...............................................................................................................13
4.1 Metering Mast Description ..............................................................................................................13
4.1.1 Mast Maintenance ......................................................................................................................17
4.1.2 Mast Compliance with International and National Standards..................................18
4.1.3 Mast Data Evaluation ................................................................................................................19
4.1.3.1 Wind Speed Analysis ........................................................................................................21
4.1.3.2 Wind Direction Analysis..................................................................................................23
4.1.3.3 Wind Profile Analysis .......................................................................................................25
4.1.3.4 Turbulence Category Estimation .................................................................................26
4.1.3.5 Extreme Wind Conditions and IEC Class Estimation ...........................................26
4.2 Comparisons and cross-predictions ............................................................................................27
5 Long Term Correction ................................................................................................................................29
5.1 Selection of long-term Data.............................................................................................................29
5.2 Long-term Consistency .....................................................................................................................30
5.3 Correlation of Wind Direction........................................................................................................32
5.4 Correlation of Wind Energy.............................................................................................................33
5.5 Long Term Correction Methodology............................................................................................33
5.6 Long-term variability.........................................................................................................................35
5.7 Wind resource map and micro-siting of the wind farm .......................................................36
6 Calculation of Annual Energy Production ..........................................................................................37
6.1 WindPRO-WA S P calculation ............................................................................................................37
6.2 Losses.......................................................................................................................................................40
6.2.1 Array losses...................................................................................................................................41
4

6.2.2 Availability ....................................................................................................................................41
6.2.3 Electrical losses ...........................................................................................................................41
6.2.4 Environmental losses................................................................................................................41
6.3 Uncertainties.........................................................................................................................................42
6.3.1 Wind measurements .................................................................................................................43
6.3.2 Long-term correction (MCP)..................................................................................................43
6.3.3 Year-to-year variability............................................................................................................44
6.3.4 Model extrapolation of wind data ........................................................................................44
6.3.5 Power curve..................................................................................................................................44
6.3.6 Uncertainty on losses (availability, grid/substation, wakes)....................................44
6.4 Long Term Wind Variations............................................................................................................44
6.5 Monthly Variations .............................................................................................................................48
7 References.......................................................................................................................................................50
8 Annex ................................................................................................................................................................51
5

2 SITE AND PURPOSE DESCRIPTION
The purpose of this report is to assess the annual energy production of the project,
based on site measurements long-term corrected with available data. A preliminary layout,
provided by the client, is reviewed and modified. In addition the uncertainty is evaluated
and the production at different probability percentiles is calculated.
The site, composed by two land lots, is located in the state of Santa Catarina, Brazil,
between the villages of São Joaquim and Urubici. It is characterized by hilly terrain, partly
covered by scattered patches of forests of araucaria. Particularly to the North-East, expected
to be the prevailing wind direction, the forest becomes almost continuous. A meteorological
mast is installed within the project development area. Two more masts, belonging to the
contiguous project of Urupema, are installed north of the Monte Alegre site. The general
description, project areas and site location are shown in Figures 2, 3 and Table 3.
The site has been visited by EMD, on January 19 th , 2011, during the mast installation.
Figure 2 - Project Area, in yellow
6
Table 3 - Site description and general information
Location: Bonsucesso (SC), Brazil
Area: 29,8 km 2
Altitude (m): 1100 to 1445
Site Inspection: 19/01/2011
Mast Coordinates
(UTM WGS 84 S
Zone 22):
618993 W, 6893678 S

Figure 3 - Site Location.
Figure 4 – The landscape around the mast
Figure 5 – The landscape around the mast
7

3 AVAILABLE DATA
The following information has been supplied for the site project:
Table 4 - Input Data of the Project
Topography
Data
Wind Data
Type of Data Source Details
Project Area VILCO
Height Contours VILCO/EMD 1 m within project area, 10 m outside
Dwelling, Protection
Areas and Forests
8
VILCO
Maps VILCO/EMD
Roughness Description EMD
Exclusion Zones VILCO/EMD
Made by a specialized environmental
company
Cartographic map 1:50000, and
satellite images. Other satellite images
provided by EMD
Background roughness classified as
class 2,0
Mast Measurements VILCO 1 Metering Mast. 12 months of data
Long-Term Data EMD
MERRA, 30 years
ERA, 31 years
NNRPD, 31 years
CFSR, 31 years
Electrical Grid VILCO Only internal losses considered
Wind Turbine
Type VILCO Siemens SWT-2.3 113
Power curve EMD/Manufacturer -
Positions VILCO/EMD
3.1 Analysis and Evaluation of Data
Layout proposed by VILCO and
optimized by EMD
The provided maps and satellite images were apparently affected by non-negligible
misalignments, likely related to an incorrect choice of the UTM Datum. EMD has therefore
made use of its own sources of maps.
Wind Data will be analyzed in a separated chapter; all other input data described in
Table 4 are evaluated here.

3.1.1 Height Contours
The Digital Elevation Model (DEM) used within the development area, provided by
VILCO, has a vertical equidistance of 1 m. Further away 10 m curves are used, obtained by
interpolation of the SRTM grid database.
The landscape is quite hilly, with a number of steep slopes, whose steepness required
further investigations.
Figure 6 – DEM used for the project: the finer vertical resolution used within the development areas are
clearly visible. Most of the northern part belongs to the nearby Urupema project.
Especially to the North-East of the site, a few slopes exhibit steepness above the limit
of applicability of the model WAsP (21,8°, corresponding to 40%): within the development
areas, however, only a few cliffs appear critical from this point of view, while the main
concern is represented by hills too steep for the turbines to be installed (typically 10°). A
RIX (Ruggedness IndeX) calculation has been run to verify that the terrain variations in the
region do not represent an issue for WA S P.
9

Figure 7. Steepness map of the region within and surrounding the wind park.
3.1.2 Roughness Classification
The roughness of the landscape determines how much the surrounding terrain drags
the wind profile, thereby slowing the wind down. This territory is characterized by large
areas of forest, scattered around a relatively open landscape. Use of satellite imagery and
local photos, together with the site visit and evaluation of the measured mast profile, has
helped in defining a background roughness of class 2,0. The land use data provided by
VILCO for the development areas have been used as the best available description of the
perimeter of the forests. Outside the project area, data from the MODIS vegetation database
have been used. A few further roughness lines have been digitized within and around the
development area, for the sake of accuracy.
3.1.3 Exclusion Zones
Permanent protection areas, such as rivers, lakes and environmental reserves
characterized in the environmental study in compliance with Brazilian laws were provided
by VILCO together with buffer distances from each of them. The following features have
been identified by VILCO, and marked as exclusion zones with the indicated buffer distance:
Rivers and streams: 30 m
Springs: 50 m
Lakes: 100 m
Swamps: no buffer required
Forest: 100 m
10

Main roads: N/A
Secondary roads/trails: 54 m
Electric grid: N/A
Dwellings: 500 m
Moreover, a buffer of 60 m (corresponding to about 1 rotor radius) has been considered
from the perimeter of the available land. Areas steeper than 10° have also been excluded,
without adding any buffer.
3.1.4 Wind Turbine Type
Figure 8 - Exclusion zones within the project.
The turbine type used here is a Siemens SWT-2.3 113, with a hub height of 99,5 m.
The power curve is usually compared to a standard model called HP curve, and a HP
power test is performed. The HP-values are calculated using a standard procedure
developed by Helge Petersen (HP) at Risø National Laboratory, assuming that a power curve
can be generated from information about nominal power, rotor diameter and type of power
control.
The HP-curve check value of the power curve of the Siemens SWT-2.3 113 (Level 0,
standard air density) appears to be within the acceptable range of ±5% at the wind speeds
expected at hub height. Details of the HP test are shown in the Annex.
11

Figure 9 - HP check of the standard power curve of Siemens SWT-2.3 113.
3.1.5 Wind Turbine Layout
A preliminary park layout was proposed by VILCO and optimized by EMD, respecting
the power range previously established for each wind farm of the complex. Only small
modifications have been introduced, mainly due to a different definition of exclusion zones
and their buffers.
Figure 10 - Siemens SWT 2.3-113 layout optimized by EMD.
12

4 WIND AND METEOROLOGICAL DATA
The wind measurements come from a mast (BSO), located within the planned wind
farm. Two more masts (URA-N and URA-S), belonging to the contiguous project of Urupema,
are installed north of the Monte Alegre site. As long-term reference, different model data
have been considered.
4.1 Metering Mast Description
This information is largely provided by VILCO ([1] to [5]). The site was visited by EMD
while the mast was being installed, therefore the validation of the proper mounting of the
instruments was done by VILCO, and the resulting documentation sent to EMD.
Measurements have been made at this mast, with first records from July 2011.
However, the mast at the time hardly complied with the quality standards required for wind
energy assessment, and was then re-configured and re-equipped in October 2011. First valid
records therefore start on October 21 st , 2011, and reach one full year in October 2012.
The mast is equipped with the following metering sensors: three Thies First Class
Advanced cup anemometers in order to measure wind speed; two Thies Clima wind vanes
for wind direction data; a weather station recording temperature, relative humidity, air
pressure, and wind data via a sonic gauge; wind speeds from a second sonic instrument have
been provided, too.
The following figures and tables present general information of the mast and the list of
the equipment installed.
13

Figure 11 – The mast at Monte Alegre.
14

Figure 12 – Detail of the installation at Monte Alegre.
15

Table 5 - General information about the mast
Type: Lattice, Triangular, Tubular
16
Coordinates
(UTM WGS 84):
Altitude: 1401 m a.s.l. Height: 100 m
618993 West
6893678 South
Mast leg: 385 mm Tube diameter: 33,7 mm
Figure 13 – Sketch of the mast
with the whole equipment
Table 6 - Description of mast equipments
Nº Equipment Height [m]
1.a
1.b
1.c
2.a
2.b
3.a
3.b
4.
Cup anemometer
THIES Clima First Class Advanced
Cup anemometer
THIES Clima First Class Advanced
Cup anemometer
THIES Clima First Class Advanced
Wind Vane
THIES Clima Compact
Wind Vane
THIES Clima Compact
Weather station
All-in-one WS500 LUFT
Weather station
All-in-one WS200 LUFT
Data Logger
Campbell Scientific CR1000
100
80
60
100
80
90
60
11
5. Solar panel and battery 14
6. Lightning rod 102
7. Aviation light 100
8. Solar panel and battery of av. light 10
Boom length/Mast Leg: ≈ 6,5

The serial number of the installed anemometers, as well as the calibration slope and
offset can be found in Table 7.
Table 7 - Main information on installed cup anemometers
Anemometer Calibration Serial Number Slope Offset
THIES First Class - 100 m* WindGuard 04114072 0,04588 0,233
THIES First Class - 80 m WindGuard 04114059 0,04581 0,257
THIES First Class - 60 m WindGuard 04114029 0,04584 0,254
THIES First Class - 100 m* WindGuard 08115287 0,04586 0,021
*The instrument nr. 08115287 replaced nr. 04114072 on September 10 th, 2012.
Orientation of mast and wind instruments are shown in the table below, as well as
the correction applied to the wind vanes to consider the magnetic deviation. In order to
decrease adjustment uncertainties, the North mark of the wind vanes was oriented along the
boom, towards the mast, and a correction to the True North was then applied in the data
logger setup. Although the mast orientation does not comply with the recommendations
given by EMD [6], these were based on an expected prevailing wind direction (45°) which is
now not confirmed. As a result, if the main wind direction seen by the mast (0°) is correct,
the choice of its orientation is actually good.
Table 8 - Orientation of mast instruments, and correction applied to wind vane direction measurements
(Reference: True North)
4.1.1 Mast Maintenance
Prevailing Wind Direction North
Mast Face Orientation South-West
Anemometer Orientations 328°
Wind Vane Orientations 148°
Offset – Wind Vane (100 m) -32°
Offset – Wind Vane (80 m) -32°
During the official measurement period (Oct 2011-Oct 2012), the main maintenance
activities were:
Modification of the programming routine of mean wind direction registered by
the wind vanes on 31/05/2012. At first, mean values of direction were being
17

ecorded as arithmetic averages, and not as vector averages, which leads to
critical errors when the wind vane is measuring within the North sector.
100 m anemometer replaced by a new device on September 10 th , 2012. Data loss
from July 21 st .
4.1.2 Mast Compliance with International and National Standards
The International Electrotechnical Commission, International Energy Agency
Progamme, Network of European Measuring Institutes and Empresa de Pesquisa Energética
([7] to [125]) have several recommendations regarding the mast configuration to reduce at
minimum the uncertainty in measurements due to mast effects. Table 9 presents the mast
compliance with International and National Standards recommendations.
Table 9 - Mast compliance with Reference Standards
Anemometers
Wind Vanes
Data
Logger
Mast
18
Brazilian
Standard
International
Standards
Minimum Minimum Recommended
Number: 3 3 2 >2
Height (m):
Calibration:
100, 80, 60 Hub height ± 2,5 % of hub
height
MEASNET
member
MEASNET
member
MEASNET
member
Hub height
MEASNET
member
Lh: 6,5 x mast leg 3,7 x mast leg 3,7 x mast leg 5,7 x mast leg
Lv: 21.2 x dh 15 x dh 15 x dh 25 x dh
Number: 2 2 2
Height (m):
Meteorological Data:
100, 80 2/3 hub height 90% of hub
height
Measures of
temperature,
pressure and
humidity
Measures of
temperature,
pressure and
humidity
Measures of
temperature,
pressure and
humidity
Sampling rate: 1 Hz 1Hz 1Hz
Average Period: 10 min 10 min 10 min
Hub Height
Lh = Horizontal Boom Length Lv= Vertical boom Length dh= Horizontal boom diameter

4.1.3 Mast Data Evaluation
Measurements have been carried out from October 21 st , 2011 to October 21 st , 2012
(12 months). Table 10 summarizes the main findings.
Table 10 - Wind and Meteorological Main Results (provided by VILCO)
High Parameters Oct Nov Dec Jan Feb Mar Apr May Jun Jul Ago Sep Oct
100m
80m
60m
2011
Vmean [m/s] 7,29 5,84 5,90 5,73 5,68 5,36 5,94 5,62 5,26 7,28 7,90 7,15 6,66 6,20
Dirmean [°]
N N N N N N N N N SO-O N N N N
Imean [%]* 10,33 12,36 11,50 12,19 11,65 11,15 11,11 11,18 10,21 10,11 10,25 11,89 11,21 11,17
I(15 m/s) [%]** 7,42 8,47 8,12 8,91 10,93 19,15 7,99 15,56 10,41 10,01 8,15 11,46 6,25 8,71
k 2,66 1,90 2,24 2,34 2,22 2,36 2,24 2,45 2,21 1,94 2,20 2,14 1,87 2,01
Weibull
a 8,39 6,51 6,67 6,46 6,42 6,07 6,69 6,29 6,50 8,15 8,95 8,08 7,23 6,99
Vmean [m/s] 7,06 5,71 5,75 5,58 5,53 5,24 5,80 5,45 5,05 6,97 7,63 7,20 6,50 6,06
Dirmean [°]
N N N N N N N N N N-NO N N N N
Imean [%]* 10,80 12,70 11,92 12,59 11,99 11,47 11,38 11,50 10,57 10,56 10,72 11,69 11,44 11,51
I(15 m/s) [%]** 9,23 9,68 6,65 8,76 - - 9,42 14,29 10,56 10,40 9,30 10,04 6,60 9,43
k 2,52 1,93 2,29 2,34 2,24 2,36 2,27 2,45 2,21 1,95 2,20 2,00 1,94 2,00
Weibull
a 8,11 5,71 6,55 6,30 6,26 5,93 6,54 6,09 6,33 7,82 8,65 8,02 7,15 6,84
Vmean [m/s] 6,78 5,55 5,57 5,39 5,35 5,08 5,61 5,26 4,85 6,61 7,31 6,94 6,30 5,84
Dirmean [°]
11,34 13,15 12,54 13,15 12,45 12,03 11,83 11,84 11,08 11,14 11,26 12,27 11,87 12,03
I(15 m/s) [%]** 11,34 13,14 12,57 13,16 12,45 12,03 11,83 16,81 12,89 10,21 8,64 10,32 7,93 10,07
k 2,49 1,96 2,37 2,36 2,43 2,43 2,23 2,45 2,24 1,95 2,19 2,01 2,02 2,02
Weibull
Wind shear (a)
Relative humidity [%]
Temperature [º C]
Pressure [hPa]
Ar Densitity [kg/m³]
BONSUCESSO Mast
a 7,75 6,22 6,40 6,10 6,16 5,78 6,30 5,86 6,13 7,45 8,30 7,75 7,01 6,61
*Mean turbulence, considering only speed values above or equal to
4m/s.
- 0,10 0,11 0,19 0,10 0,11 0,10 0,14 0,16 0,17 0,15 0,14 0,06 0,12
78,52 81,25 83,56 87,01 82,17 80,11 87,27 86,50 77,70 83,47 82,78 76,01 83,86 82,48
12,38 13,56 13,94 15,90 18,59 15,86 13,55 11,55 10,97 9,30 12,52 12,42 13,99 13,31
850,87 851,86 849,37 851,39 852,46 853,12 852,31 855,25 853,57 853,39 857,46 854,23 852,83 853,17
1,04 1,04 1,03 1,03 1,02 1,03 1,04 1,05 1,05 1,05 1,05 1,04 1,03 1,04
VILCO reported that, due to wrong setup of the logger by Messtechnik, during the
period from 28/10/2011 to 30/05/2012 both available wind vanes have recorded direction
data using arithmetic mean values. This leads to a critical error when the direction is near
the north azimuth (0°), resulting in wrong average values, awkward direction variations and
huge associated standard deviations. The data logger was reconfigured to record using
vector mean values on 30/05/2012.
Since the data erroneously recorded do not contain the information to reconvert to
vector values, they cannot be used as such for the present purposes. VILCO has therefore
used correlations with direction data recorded by the sonic system to recreate the missing
period using a linear regression.
Briefly, the methodology used is the following: first select data that fit a few criteria
indicating erroneous data at the vane; then, the assumed wrong data were corrected using
the resulting equations of a linear regression made with the matching values from the wind
vanes and the concurrent data from WS500. Further details of this are given in [4].
Although this approach can be considered acceptable from the procedural point of
view, the following doubts must be raised: i) the majority of the original time series is
affected by this problem, thus significantly reducing its reliability; ii) although sonic records
of wind directions appear more robust than speeds, the sonic instrument does not appear
reliable enough to be used as the only source of comparison, let alone substitution; iii) the
expected large number of events from the Southern sector, typical signature of arithmetic
19
2012
**Mean turbulence in the mean speed bin of 14,5m/s - 15,5 m/s.
Average
***Extreme wind speed value( 10 minutes mean), in a
period of 50 years. Calculated using Gumbel method.

averages of directions, do not appear in the original, incorrect wind rose; iv) the final,
corrected wind rose does not match with any of the references, or with the ones from
Urupema. Further comparisons and investigations on the matter can be found in § 4.2.
The final time series appears of good quality, with only few flaws. The raw data have
been cleaned of erroneous values and the remaining data were analysed. The following has
been found:
a total loss of data is recorded in the period 19/12-28/12/2011, likely due to
logger failure
as reported by VILCO, the top anemometer was replaced in September 2012
due to malfunction; the resulting eleven days of data lost have been replaced
by EMD making use of data from 80 m, scaled using simply a scale factor
(1,02) based on the ratio between the two recorded 1-year mean wind speeds
a few events of icing, at least partly affecting the instruments, have been
recorded.
Finally, wind speeds from the sonic instrument appear hardly reliable in terms of absolute
values, but do represent an important source of validation.
A few other very short periods of data gaps have been found, affecting all instruments
and therefore likely related to a logger or transmission fault.
Figure 14 - Availability of the couple wind speed-direction at 100 m, after patching the missing period of
September 2012. Red and yellow cells are days lacking or with disabled data. The availability is the same
at all other heights.
20

4.1.3.1 Wind Speed Analysis
The wind speeds measured at the different heights correlate very well during the
whole measurement campaign.
Figure 15 -Wind speed measurements at the mast correlate very well.
Figure 16 –Radar graph showing the directional distribution of wind speeds.
21

The radar plot of the directional distribution of the differences between the wind
speeds measured at different heights show only small evidence of shadowing effects on the
instruments, but a weird over- and underestimation is shown within the N sector, which is
the prevailing wind direction. The effect is particularly evident when comparing the 100 and
60 m anemometers, and cannot be corrected, in the absence of side instruments mounted at
the same heights. The reason of this is not clear, but it could be simply related to real profile
inversion situations, seen sporadically throughout the whole time series, and simply
exacerbated within the prevailing sector.
Figure 17-Directional scatter plot of the differences of wind speeds measured at 100 and 60 m, binned by
degree. In the prevailing N sector, contradicting records are shown, with both instruments
underestimating the other at times.
The measured and Weibull-fitted frequency distributions of the wind speeds are
shown below.
22

Figure 18-Measured and Weibull-fitted frequency distributions of wind speeds at Monte Alegre.
Black: 100 m; purple: 80 m; blue: 60 m.
4.1.3.2 Wind Direction Analysis
The wind roses from the two available vanes are shown below. Here, a unique
prevalence of northerly winds is recorded, in contrast with the concurrent measurements of
the nearby Urupema masts, showing a prevalence of NNE and ENE.
23

Figure 19 – Distributions of the wind directions recorded at Monte Alegre.
The diurnal variability of wind speed is shown in the following figure, and exhibits
evidence of different stability conditions during day and night.
Figure 20 -Diurnal variability of the wind speed. A quite different profile is seen between day and night,
evidence of different atmospheric stability conditions.
24

4.1.3.3 Wind Profile Analysis
In order to evaluate the ability of the model WA S P to properly reproduce local
conditions and to extrapolate a wind profile to upper levels, self-predictions using data from
the different measurement heights have been carried out. This has been done making use of
the concurrent time series available (about 12 months), to generate with WA S P a wind
statistics valid within the area. With the same model, a mean wind speed profile has been
extrapolated with WA s P at different heights, including the ones of the measurements, and
compared to them. The initial attempts showed a not very good agreement with the
measured data. From these, it appears that unstable atmospheric conditions are more
dominant than stable ones, and the model in its default setup is unable to catch such a
feature. This issue appeared systematically throughout the region, and has been verified at
the other two available masts (URA-N and -S). For this reason, a small correction towards
unstable conditions has been applied, with the outcome shown below.
Figure 21 - Estimated wind profile (from 80 m) and measured wind speeds. After slightly modifying
towards unstable conditions, WA s P appears to perform quite well.
The result is generally good, but suspicion that at least one of the measurements is slightly
off remains.
25

4.1.3.4 Turbulence Category Estimation
Based on the available measured data, an estimation of the turbulence on site has
been carried out, with the outcome shown in the next plot. An ambient turbulence calling for
a class B turbine is seen.
Figure 22 - Comparison of measured turbulence at different heights with IEC (ed. 3) Categories.
4.1.3.5 Extreme Wind Conditions
The table below shows the extreme wind conditions for the site as estimated from
records at BSO, and the IEC Class of the turbine selected.
Table 11 - Extreme wind conditions of the site
Height 100 m
U50 (3 sec) 35 m/s
U50 (10 min) 28 m/s
Mean Turbulence Intensity (≥ 4 m/s) 11%
Turbulence Intensity (15 m/s bin) 9%
Turbulence Intensity (90% quantile) 19%
IEC Class of the selected WTG IIB
26

4.2 Comparisons and cross-predictions
As already mentioned above, the final wind rose seen at Monte Alegre shows a quite
different pattern when compared with data from the other two masts in the region. Since it
is obtained from significant manipulation of the original, incorrectly recorded roses, this
matter is further investigated here.
The wind roses for the concurrent (10,6 months) period at the three masts are shown
below, and exhibit marked differences, only explainable by local effects, or data problems.
Figure 23 – Final wind roses from the three masts in the region. Significant differences are seen between
Monte Alegre and Urupema, but also within the Urupema region.
As an attempt to evaluate whether the procedure of correcting the original roses may have
added unwanted biases, the roses of the concurrent period after all mast loggers had been
adjusted (4,6 months) were investigated, and are shown below. Each of them looks very
similar to its own full-period counterpart, meaning that the correction applied by VILCO has
not introduced any significant veering.
27

Figure 24 - Wind roses from the three masts in the region, after the logger correction. Each of them looks
very similar to its full-period counterpart seen above.
Cross-predictions based on strictly concurrent (about 10 months) time series
between all masts been performed, in order to quantitatively evaluate the ability of WA S P to
perform in this specific environment: the wind statistics obtained at each site/height has
been used to estimate a wind profile at the other site/heights. The results are shown below,
and are not very promising.
Table 12 - Error (%) on the cross-predicted wind speeds between the masts, in the concurrent
measurement period. In blue, the self- and cross-predictions at Urupema, in pink at Monte Alegre, and in
white the cross-predictions between the two sites.
Predicted at Name
Meas. wind speed
Height [m]
[m/s] A [%] B [%] C [%] D [%]
Predictor
E [%] F [%] G [%] H [%] I [%]
A URA-N 80 6,02 0,1 -1,2 -0,6 -6,5 -5,5 -7,2 -13,9 -13,5 -14,2
B URA-N 60 5,62 1,5 0,1 0,8 -5,1 -4,0 -5,8 -13,1 -12,7 -13,4
C URA-N 100 6,25 0,9 -0,4 0,1 -5,9 -4,9 -6,6 -13,0 -12,6 -13,3
D BSO 80 6,08 7,5 6,2 6,8 0,2 1,3 -0,6 -7,1 -6,6 -7,4
E BSO 60 5,87 6,5 5,2 5,8 -1,0 0,2 -1,8 -8,2 -7,7 -8,5
F BSO 100 6,26 8,2 6,9 7,4 1,0 2,1 0,2 -6,3 -5,8 -6,7
G URA-S 80 5,55 15,7 14,3 14,6 4,3 5,5 3,5 0,2 0,7 -0,2
H URA-S 60 5,31 15,3 14,0 14,2 3,5 4,7 2,7 -0,4 0,1 -0,7
I URA-S 100 5,76 15,7 14,4 14,6 4,7 6,0 4,0 0,5 1,0 0,1
At Urupema, self-predictions at the southern mast show much better performance
than at the other mast. Cross-predictions between the two masts, however, show extremely
large, unacceptable errors. There are two explanations for this: a) WA S P is simply unable to
cope with this environment; b) one or both the time series are affected by some kind of
28

systematic error. Results from Monte Alegre show a lower capacity of self-prediction, but a
striking improvement when predicting at Urupema: the errors are still very large, yet halved
in comparison to the intra-site results of Urupema. It is also worth noting that using BSO as a
predictor gives much better results at URA-S than at URA-N: use of the 100 m measurements
at BSO results in 4,0% error at URA-S, and -6,6% at URA-N.
5 LONG TERM CORRECTION
5.1 Selection of long-term Data
The following long-term databases have been evaluated as sources of long-term
reference data for this project.
The 3TIER-ERA database derives from the ECMWF ERA-Interim reanalysis project, as
interpolated by 3TIER. The result is a high-resolution grid, whose nodes can be interpolated
to any specific location. Wind direction data from 1/5 to 31/8/1994 appeared corrupted,
and have been therefore excluded.
The 3TIER-NRRPD database derives from the NCEP/NCAR reanalysis project, as
rescaled by 3TIER making use of a mesoscale model. The result is a high-resolution grid,
whose nodes can be interpolated to any specific location.
The CFSR database is a third-generation high-resolution reanalysis product. Data
from 10 m and 1.500 m are available. Databases from the two nearest grid nodes have been
considered here.
The MERRA database derives from the homonymous NASA reanalysis project. The
model grid resolution is 0.67° x 0.5°.
29

Figure 25 - Position of the selected reference database grid nodes. The MERRA point almost coincides with
the western CFSR node. NNRPD points are interpolated at URA N and BSO mast positions.
5.2 Long-term Consistency
In order to detect unwanted long-term trends in the reference data, yearly averages of
the wind speeds are presented below for the nine initially chosen series. All CFSR series
exhibit a marked drop after 1998, but in the case of the 1,500 m databases this results in a
significant descending trend of those time series, making them hardly usable. All other
series do exhibit to some degree a decreasing trend, which is minimal for the ERA data,
whereas the NNRPD shows actually an increasing behavior.
30

Figure 26 - Yearly averages of the wind speeds for the nine reference datasets available. Also shown are
the relevant linear trend lines. The worst-case trend, exhibited by CFSR-E 1,500 m, is also shown.
In the figure below, the wind roses of the concurrent (30 years) reference time series
are compared. Significant differences are seen, with no model showing the same marked
prevalence of northerlies seen on site.
31

Figure 27 - Comparison between concurrent long-term reference wind roses. Only one of the ERA points is
shown, the other exhibiting exactly the same behavior.
5.3 Correlation of Wind Direction
The directional distribution of selected reference databases (the best matching ones
mentioned above) is now investigated within the period of the measurement campaign at
Monte Alegre. Although it cannot be ruled out that local topographic effects determine such
a peculiar wind rose, suspicions remain about its correctness.
Figure 28 - Comparing directional distribution of local readings (black) with that of concurrent reference
data (6,5 months).
32

5.4 Correlation of Wind Energy
The wind energy of a measurement is calculated by applying the wind speed to the
power curve of the wind turbine in question. The wind speeds measured on site and from
the reference datasets are therefore taken from or extrapolated to a given same height (here
100 m) using a shear factor (actually: to the expected mean wind speed at this height, 6,7
m/s). Thus a time series of what the planned wind turbine would have produced at 100 m is
obtained. A monthly wind index can then be found averaging the available wind energy over
each month.
Monthly wind indices are shown here for the period of availability of the local
measurements, and including those. The agreement with the reference datasets is generally
quite low, with only a few isolated instances matching (e.g. MERRA in June and July 2012, or
ERA in January and May).
Figure 29 – Concurrent monthly energy indexes at Monte Alegre.
5.5 Long Term Correction Methodology
A range of methods for long-term correction is usually available. Here, all reference
datasets are model outputs, and from past experience this tends to limit the choice to
methods working only on large-scale (monthly) variations of the energy content of the time
series, e.g. the Wind Index. This method, however, does not consider nor modify the local
wind rose, simply assuming that it is long-term representative. Unfortunately, as seen above,
33

the matching between local and most reference wind roses is very poor, thus calling into
question the long-term representativeness of the local rose.
This said, a number of attempts have been done using all reasonably-looking
reference datasets, and different MCP techniques. All methods making use of small-scale
variations (regressions) failed to reproduce the trend seen on site, while better results are
seen applying the Wind Index approach. The results are shown below.
The degree of correlation varies significantly, depending on the reference used,
whereas the energy content of the resulting wind statistics shows an acceptable level of
variability, with the exception of CFSR E, which seems significantly off (the same is seen
when comparing with URA local data). Its counterpart, CFSR W, exhibits instead the best
correlation with BSO (and the same happens at URA), and results of this will modify by 9%
the energy content of the local wind statistics: a relatively large, but still acceptable value.
In the further investigations, therefore, the local data from 100 m long-term
corrected with the CFSR W point will be used.
Figure 30 -Comparison of the MCP results. The WTG energy indicates the relative energy content.
Correlations (r) and standard errors (s) are for the concurrent measured and corresponding predicted
data, based on no averaging.
34

5.6 Long-term variability
As an example of the long-term variability in the region, monthly mean wind speed
values, as obtained from the CFSR W (10 m) dataset, are presented in the table below: the
original 10 m monthly values have been scaled to 100 m by a simple multiplying factor
obtained by comparison with the long-term mean wind speed expected for the entire park
(6,6 m/s).
The variability of mean wind speed in the relevant 31 years is shown in the following
figure.
Table 13 - Monthly mean wind speed values obtained from the CFSR W dataset (31-year averages; 10 m
values scaled to 100 m).
Height Parameter Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dez Mean
100m Vm [m/s] 6,0 5,7 5,6 6,0 6,3 6,6 7,2 7,1 7,5 7,3 7,2 6,6 6,6
10,0%
8,0%
6,0%
4,0%
2,0%
0,0%
-2,0%
-4,0%
-6,0%
-8,0%
-10,0%
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
Figure 31 - Variability of the wind speed around its average, obtained from the CFSR W dataset.
35

5.7 Wind resource map and micro-siting of the wind farm
A key element in the site evaluation is an estimation of the distribution of the wind
resource over the site. This is done with a wind resource map, displayed below. The map has
been obtained running a WA S P calculation at each node of the 50 m grid created in
correspondence with the development area.
Input for this calculation is represented by the long-term corrected wind statistics
from BSO and URA-S. In other words, both statistics are used to estimate the resource at
each grid node, but a different weight is applied to each of them, depending on the distance
between the originating mast and the grid node itself.
The result is shown below.
Figure 32 - Wind resource map based on long-term corrected local data. The resource of the nearby
Urupema project is also visible, but the available land at Monte Alegre is highlighted with a black line.
VILCO provided a preliminary layout based on 40 Siemens SWT-2.3 113, amounting to
92 MW. Although the final number will have to be a multiple of 30 MW, the same maximum
number of turbines has been used by EMD when optimizing the layout, on the basis of the
resource map above. Given the vicinity of the other project, Urupema, the micro-siting of the
turbines of both projects have been done within the same run, in order to take reciprocal
wakes into account, therefore optimizing the efficiency of both parks.
Given the many constraints, of environmental and logistic nature, holding in this region,
the effectively available area is quite limited. However, the quite subjective and conservative
approach used in selecting buffer distances, e.g. from forests and dwellings, leaves room for
repositioning some of the turbines, or even include a few more.
36

A distance ellipse of 5 x 3 rotor diameters (565 x 339 m) has been used for separating
the turbines during the optimization, with the major semi-axis pointing at 0°, according to
the wind rose recorded at the local mast. However, such a directional distribution, as seen
above, does not match with any of the reference and local time series available.
The optimized layout is shown below.
Figure 33 - The final layout as optimized by EMD, in red. In black the original layout as proposed by VILCO
6 CALCULATION OF ANNUAL ENERGY PRODUCTION
6.1 WindPRO-WA SP calculation
The WA S P calculation model is commonly used to calculate the transformation of
wind data from the point of metering to the each individual turbine. The model is described
in detail by Troen and Petersen [13]. First step is to generate from the metering data and the
terrain around the mast a description of the regional wind climate (wind statistics),
secondly to apply this wind statistics on each individual turbine at hub height, reintroducing
the local terrain description.
The wind statistics representing the regional wind climate has been calculated by
WA S P based on long-term corrected data from the mast and terrain data as described
previously.
Energy production calculations have been performed with WindPRO using the WA S P
calculation engine with wind statistics and the terrain description as input. The air density is
37

calculated individually for each turbine, based on height and long term corrected
temperature at the site. The air density is calculated individually for each turbine, based on
height and long-term temperature data from the weather station of Curitiba, which showed
the same average values recorded on site. The production estimate is adjusted to this air
density by modifying the standard power curve given for an air density of 1.225 kg/m 3 .
Figure 34 - Air density of the PARK calculation for the entire complex (40 turbines).
The calculation has been done for each section of the 40 Siemens SWT 2.3-113 layout
(HH 99,5 m), considering every time the remaining sections and the nearby park of
Urupema as wake sources. Consistently with the way the wind resource map was calculated,
the distance-weighted average of the long-term corrected wind statistics from BSO and
URA-S has been used as input.
Based on the layout chosen, and the data described in the report so far, the following
results appear in a PARK calculation, where roughness and height contour lines are taken
into consideration for each WTG position. The array losses are calculated as well using the
N.O. Jensen model. Below the calculated annual gross energy yield from each wind farm of
the Urupema wind complex is shown.
Table 14 –Calculated gross production before assumed additional losses
Section WTG Model Qty
Power
[MW]
AEP
[GWh/yr]
38
AEP/WTG
[GWh/yr]
CF [%] Vm
[m/s]
BSO I Siemens SWT-2.3 113 13 29,9 98,8 7,6 38 6,6
BSO II Siemens SWT-2.3 113 13 29,9 96,6 7,4 37 6,5
BSO III Siemens SWT-2.3 113 13 29,9 92,7 7,1 35 6,4
BSO IV Siemens SWT-2.3 113 1 2,3 7,1 7,1 35 6,3
TOT Siemens SWT-2.3 113 40 92 295,2 7,4 37 6,5
WTG: Wind Turbine Generator
AEP: Annual Energy Production
CF: Capacity Factor

Figure 35 - The four wind farms of the wind complex Monte Alegre, with the turbines shown in different
colors. In blue, those belonging to Monte Alegre II and IV (single WTG in the North); the reds in the South
represent Monte Alegre I, whereas the red northern WTGs belong to Monte Alegre III.
39

6.2 Losses
Table 15 – Summary of losses, together with relevant uncertainties. Loss=Perda, Method=Método, Std
dev=Desvio padrão, Comment=Comentário, Calculation=Calculado, Estimate=Estimado, No input=Não
disponível. From the top: Monte Alegre I, II, III and IV.
40

6.2.1 Array losses
The array losses due to the turbines sheltering effect on each other are included in
the calculations above and were made using N.O Jensen model. The calculation of this item
includes the reciprocal effect of the four wind farms of the complex, and the (non-negligible)
wakes due to the nearby park of Urupema.
6.2.2 Availability
Losses due to general availability for a land site with a good service agreement is
typically extremely low (

6.3 Uncertainties
Table 16 - Summary of Uncertainties. Method=Método, Std dev=Desvio padrão, wind speed=velocidade do
vento, AEP= produção anual de energia, Comment=Comentário, Calculation=Calculado,
Estimate=Estimado, Uncertainty=Incerteza, Average=Média. From the top: Monte Alegre I, II and III.
42

Table 16 (cont’d) - Summary of Uncertainties. Method=Método, Std dev=Desvio padrão, wind
speed=velocidade do vento, AEP= produção anual de energia, Comment=Comentário,
Calculation=Calculado, Estimate=Estimado, Uncertainty=Incerteza, Average=Média. Monte Alegre IV.
6.3.1 Wind measurements
The uncertainty on the wind measurements is set to 5%, which is a quite high value.
The main reason is the unfortunate, long record of arithmetic averages of the wind direction,
which had to be corrected a posteriori by VILCO, leaving doubts about the final wind roses,
and the remaining large differences (in absolute values, rather than in shape) between the
two local masts.
Also, information on the measurement campaign, such as mast setup, equipment and
orientation, was sent in separate times through a number of separate documents, which
sometimes appeared conflicting. This made it further difficult to properly evaluate the
quality of the installation, hence the large uncertainty mentioned above.
6.3.2 Long-term correction (MCP)
The length of the long-term series, the quality and length of concurrent data and the
correlation decides this uncertainty. Only one MCP method appeared successful here, and
this is quite common when only model outputs are used as reference. The results are not
particularly consistent in terms of correlation factor with the different references used and
energy content of the long-term corrected wind statistics (if the outsider CFSR E is excluded,
the max. discrepancy is 4,4%, but including that point it reaches 11%). A typical value of 7%
has been used here to describe this uncertainty.
Uncertainty about the future climate has been applied as a standard value of 5% on
production. This parameter is included to take into account the difficulty of predicting the
wind climate in the future.
43

6.3.3 Year-to-year variability
This parameter is evaluated based on the inter-annual variability of the wind speed
exhibited by the chosen long-term reference data, i.e. the CFSR W dataset. This amounts to
3.7% on wind speed, which is a relatively low value if compared to the european experience,
but is quite consistent throughout most of the reference datasets considered here.
6.3.4 Model extrapolation of wind data
A RIX calculation has shown that a negligible bias is associated with the steep slopes
found in the region. The performance of WA S P appears to be quite good only in selfpredictions,
and thanks to the measurements available at hub height the vertical error
extrapolation is reduced to a minimum value. Horizontal extrapolations between the local
mast and URA-S however show quite large but not uncommon errors.
The final uncertainties on the vertical and horizontal extrapolations have been
estimated for each wind farm of the complex, and for each turbine, according to which wind
statistics it refers to. The fact that some turbines lay quite far away from the mast
contributes to the quite large uncertainty affecting the wind farms of Monte Alegre I and IV.
6.3.5 Power curve
The uncertainty on the power curve is standard: 2%.
6.3.6 Uncertainty on losses (availability, grid/substation, wakes)
The standard deviation on the array loss calculation is estimated to 20% of the
calculated losses. In general there is a good agreement between calculated and measured
array losses from the several cases we have tested this. For especially large wind farms with
many arrays (>4), it is seen that the model gets problems and underestimates losses, but
this is not the case here.
Turbine availability is a very uncertain parameter for more reasons:
It is difficult to predict what kind of failures occur and how long it will take to repair
them;
It is impossible to predict when these failures will occur.
Especially for the WTG availability, a minimum availability can be agreed upon,
depending on the type of service agreement (see also loss evaluation). Given the fact that
Brazil is still a new market for wind energy, and a very large country, 50% is used as
uncertainty on WTG availability.
A standard value of the uncertainty on the electrical losses has been applied. Current
EMD standard is 20% of the estimated loss of 2%.
6.4 Long Term Wind Variations
The expected net AEP is also named the P50 value, which is the expected outcome of the
project. There is a probability of 50% that the outcome will be more than P50 and a
probability of 50% that the outcome will be less. This can also be named the “central
estimate”. Similarly, the P84 is the value where 84 out of 100 realizations will result in an
44

outcome better than P84. For P95, there is only 5% probability to get an outcome poorer
than this confidence level.
Table 17 - Net AEP and mean capacity factor for different projection periods and confidence levels.
From the top: Monte Alegre I, II, III.
PXX [%]
Annual Energy Production [MWh/y] Mean Capacity Factor
1y 5y 10y 20y 1y 5y 10y 20y
50 84.018 84.018 84.018 84.018 32% 32% 32% 32%
75 74.610 75.107 75.172 75.204 28% 29% 29% 29%
84 70.147 70.880 70.975 71.023 27% 27% 27% 27%
90 66.142 67.088 67.210 67.271 25% 26% 26% 26%
95 61.075 62.288 62.445 62.523 23% 24% 24% 24%
PXX [%]
Annual Energy Production [MWh/y] Mean Capacity Factor
1y 5y 10y 20y 1y 5y 10y 20y
50 79.772 79.772 79.772 79.772 30% 30% 30% 30%
75 71.947 72.546 72.625 72.664 27% 28% 28% 28%
84 68.236 69.119 69.234 69.292 26% 26% 26% 26%
90 64.905 66.043 66.192 66.267 25% 25% 25% 25%
95 60.691 62.151 62.342 62.439 23% 24% 24% 24%
PXX [%]
Annual Energy Production [MWh/y] Mean Capacity Factor
1y 5y 10y 20y 1y 5y 10y 20y
50 79.374 79.374 79.374 79.374 30% 30% 30% 30%
75 71.349 71.959 72.039 72.080 27% 27% 28% 28%
84 67.542 68.442 68.560 68.619 26% 26% 26% 26%
90 64.126 65.286 65.438 65.514 24% 25% 25% 25%
95 59.803 61.292 61.487 61.585 23% 23% 23% 24%
45

Table 17 (cont’d) - Net AEP and mean capacity factor for different projection periods and confidence
levels. Monte Alegre IV.
PXX [%]
Annual Energy Production [MWh/y] Mean Capacity Factor
1y 5y 10y 20y 1y 5y 10y 20y
50 6.227 6.227 6.227 6.227 31% 31% 31% 31%
75 5.563 5.611 5.617 5.620 28% 28% 28% 28%
84 5.248 5.318 5.328 5.332 26% 26% 26% 26%
90 4.965 5.056 5.068 5.074 25% 25% 25% 25%
95 4.607 4.724 4.739 4.747 23% 23% 24% 24%
Figure 36 - Exceedance curve for the net AEP (loss deducted). From the left: Monte Alegre I, II.
46

Figure 36 (cont’d) - Exceedance curve for the net AEP (loss deducted). From the left: Monte Alegre III, IV.
47

6.5 Monthly Variations
The monthly expected energy production and capacity factor are shown below, and
are obtained from the energy production calculations seen above, as scaled by long-term (31
years) average monthly energy indices of the reference database (CFSR W).
Table 18 – P50 monthly gross energy production and capacity factor.
Month Production
[GWh]
Monte Alegre I Monte Alegre II Monte Alegre III Monte Alegre IV
Capacity
Factor
Production
[GWh]
Capacity
Factor
48
Production
[GWh]
Capacity
Factor
Production
[GWh]
Capacity
Factor
January 7,0 31% 6,8 31% 6,6 30% 0,5 29%
February 6,2 31% 6,1 30% 5,8 29% 0,4 29%
March 5,9 27% 5,8 27% 5,6 26% 0,4 26%
April 6,8 31% 6,6 31% 6,4 30% 0,5 29%
May 7,5 34% 7,3 33% 7,0 32% 0,5 31%
June 7,9 37% 7,8 36% 7,5 35% 0,6 34%
July 9,5 43% 9,3 42% 8,9 40% 0,7 40%
August 9,3 42% 9,1 41% 8,8 39% 0,7 39%
September 10,5 49% 10,3 48% 9,9 46% 0,8 45%
October 10,1 46% 9,9 45% 9,5 43% 0,7 42%
November 9,8 45% 9,6 44% 9,2 43% 0,7 42%
December 8,4 38% 8,2 37% 7,9 35% 0,6 35%
Total 98,9 38% 96,7 37% 92,8 35% 7,1 35%

Table 19 – P50 monthly net energy production and capacity factor.
Month Production
[GWh]
Monte Alegre I Monte Alegre II Monte Alegre III Monte Alegre IV
Capacity
Factor
Production
[GWh]
Capacity
Factor
Maurizio Motta, M. Sc. (Physics), Wind Energy Consultant ____________________________________
EMD Responsible for the Project (name, formation, function)
Per Nielsen, M.Sc. Eng, Manager _________________________________
49
Production
[GWh]
Capacity
Factor
Production
[GWh]
Capacity
Factor
January 5,9 27% 5,6 25% 5,6 25% 0,4 26%
February 5,3 26% 5,0 25% 5,0 25% 0,4 25%
March 5,0 23% 4,8 22% 4,8 22% 0,4 23%
April 5,8 27% 5,5 25% 5,4 25% 0,4 26%
May 6,4 29% 6,1 27% 6,0 27% 0,5 28%
June 6,8 31% 6,4 30% 6,4 30% 0,5 30%
July 8,0 36% 7,6 34% 7,6 34% 0,6 35%
August 7,9 36% 7,5 34% 7,5 34% 0,6 34%
September 8,9 42% 8,5 39% 8,4 39% 0,7 40%
October 8,6 39% 8,2 37% 8,1 37% 0,6 37%
November 8,3 39% 7,9 37% 7,9 36% 0,6 37%
December 7,1 32% 6,8 30% 6,7 30% 0,5 31%
Total 84,1 32% 79,9 31% 79,5 30% 6,2 31%

7 REFERENCES
[1] Costa, S. A., Urupema wind farm, Measurement South mast, VILCO Engenharia e
Consultoria
[2] Costa, S. A., Mast report, Bonsucesso wind farm, VILCO Engenharia e Consultoria
[3] Telöcken, J. A., Documentação de Entrega de Obra - Bonsucesso, Messtechnik
[4] Chaves, P., Bonsucesso and Urupema wind power projects – Main Information, VILCO
Engenharia e Consultoria
[5] Costa S. A., Relatório de fiscalização: instrumentação de torre anemométrica – Parque
eólico Bonsucesso, VILCO Engenharia e Consultoria
[6] Lindholm, D., Pre-evaluation of site and recommendations, EMD, 2010
[7] International Electrotechnical Commission - IEC 6-1400 Part 12-1 Ed.1: Power
performance measurements of electricity producing wind turbines, 2005
[8] International Energy Agengy Programme - IEA – Recommended practices for wind turbine
testing and evaluation: 11. Wind Speed Measurement and use of cup anemometry, 1999
[9] Network of European Measuring Institutes - MEASNET - Evaluation of Site specific wind
condition, 2009
[10] Empresa de Pesquisa Energética - EPE – Nota Técnica 04/12 – Instrução para as
medições anemométricas e climatológicas – Leilão de Energia de Reserva, 2012
[11] Empresa de Pesquisa Energética - EPE – Instruções para Solicitação de Cadastramento e
Habilitação Técnica com vistas a participação nos leilões de Energia Elétrica, 20011
[12] Agência Nacional de Energia Elétrica - ANEEL – Resolução Normativa nº 391, 2009
[13] Troen, I. and Petersen, E.L. - European Wind Atlas, Risø National Laboratory, 1989.
50

8 ANNEX
8.1 EMD Company Description and Certification References
EMD is a software and consultancy company supplying countries worldwide with
software and consultancy services within the field of project design, planning and
documentation of environmental friendly energy projects, particularly wind energy projects.
EMD has its main office located in Aalborg, Denmark and regional sales offices in
Germany, France, Spain, United Kingdom, USA, Turkey and China. The company has a total
staff of 20 - 25 employees.
EMD participates in various ongoing research and development activities within the
renewable energy sector and this ensures that the EMD software is continuously upgraded
with the latest knowledge and experience available within the area. The result is userfriendly,
flexible and reliable software developed based on the latest knowledge and
experience within the area and according to the demands of our many users worldwide.
The consultancy team at EMD is internationally recognized for its independent
expertise within wind energy as well as within development of co/tri-generation projects.
As wind consultants, EMD has a long worldwide experience. Consultancy jobs have been
performed from Canada to Australia and from Japan to USA. EMD performs over 200
consultancy jobs each year within wind energy for private companies and banks as well as
longer-term project assignments for DANIDA, the World Bank and other international
institutions.
Since 1998, the wind consultancy team at EMD has conducted wind resource
assessment, micro-siting and bankable annual energy production assessments on over 700
wind farm projects worldwide with a planned capacity of more than 35,000 MW.
51

8.2 Wind Turbine: technical specifications and power curve
52

8.3 WindPRO results
53

8.4 Anemometers – Calibration Certificates
54

27-03-2012 Page 1 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Bahamas More sites 2010 50
Bahamas Total 50
Brazil Aracati 2003 50
Campos_de_Palmas 2011 -
Ceará 2011 -
Minas Gerais 2011 -
Rota das Araucárias 2011 -
São José (New Aparados da Serra) 2011 -
Xanadu_Anil 2011 -
Brazil Total 50
Bulgaria Dabrava_Vidno_Gurkovo 2009 54
Hrabrovo 2009 40
Kaliakra 2006 35
Kavarna 2006 1
Long Man M1 2006 6
LongMan 2010 8
Novakovo 2009 8
Rakovski 2008 2
Sliven 2007 2
Sokol 2010 2
Vidno 2008 18
Bulgaria Total 176
Canada Naikun 2008 320
Canada Total 320
China 6 Windfarms 2008 213
Baicheng 2008 69
Datang Zhuozi 2006 38
Guazhou 2010 150
Xilinhot 2007 49
Xiwu 2008 50
China Total 568
Croatia Ljupina 2007 8
Croatia Total 8
Cyprus Larnaka 2006 120
Paphos 2006 120
Cyprus Total 240
Denmark 10 DK sites 2010 90
20 sites 2009 117
5 near offshore DK 2011 300
Allerød 2009 2
Andi 2009 10
Anholt 2009 400
Assing 2011 9
Auras 2010 8
Ausumgaard 2009 9
Bedsted 2010 4
Bella Center 2008 1
BellaCenter 2009 1
Blaksmark 2010 7
Bornholm 2003 6
Borre, Oksbøl 2004 3
Bovnum 2008 3
Brorstrup 2007 7
Brorstrup Mose 2010 18
Bützov 2008 7
Båstrup 2010 15
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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27-03-2012 Page 2 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Central Jutland (4 sites) 2002 84
Djursland 2008 400
Drøstrup 2006 12
Døstrup 2011 15
Egebaksande 2009 14
Eghøj 2010 5
Egvad, 6 projects 2009 60
Ellesø 2008 5
Eskildstrup 2010 7
Farsø 2002 -
Filskov 2002 8
Fjelsborg 2003 1
Flade 2008 14
Flade, Mors 2004 8
Fly, Bajlum, Gråhede & Kragerupgård 2011 54
Frederikshavn 2001 18
Fristrup 2009 16
Furresø 2011 -
Fårup 2007 -
Gammelstrup 2007 3
Gamst 2008 3
Gedmosen 2002 10
Gettrup 2009 12
Gettrup Mark 1999 4
Ginderup 2005 4
Gingsholm 2010 9
Gjørup 2007 4
GlorupGods 2010 9
Grenå harbour 2002 7
Grindsted 2011 30
Haderslev 2010 9
Hagesholm 2010 16
Hald 2009 15
Hampen 2006 1
Hanstholm 2005 54
Harboøre 2007 102
Harring 2002 3
Hemmet 2006 8
Hestkær 2007 7
Hjardemål 2002 10
Hjerning 2011 15
Hokkerup 2002 1
Hollandsbjerg 2001 17
Holstebro 2008 5
Horns Rev-2 2004 202
Hvide Sande 2009 12
Hørning 2009 8
Hørsted 2002 1
Høvsøre 1999 42
Ilshøj 2011 14
Jelling 2000 2
Jutland (4 projects) 2002 107
Kallerup 2007 9
Katrineholm 2008 9
Katrineholms Piber 2008 9
Kirke Hyllinge 2003 10
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk

27-03-2012 Page 3 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Kjeldberg 2010 9
Korup 2011 12
Kragelund 2011 4
Kragerupgård 2010 18
Krashave 2011 3
Krogstrup 2010 12
Kærende 2010 9
Københavnerheden 2001 5
Københoved 2008 3
Lejbølle 2008 11
Lem Kær 2008 20
Lerchenborg 2009 18
Lindknud 2003 5
Lindø 2011 5
Lyngdrup 2007 16
Løgtved 2011 12
Løvegaard 2002 3
Marienburg 2009 15
Mejl Flak (Havvind Århus Bugt) 2011 140
Middelgrunden 1999 40
Mors 2008 11
Mors 2004 8
Møldrup 2005 4
Mølhave 2008 8
Møllebjerg 1999 2
Måde/Nordjylandsværk 2010 29
Nissum Bredning 2011 84
Nordjyllandsværket 2003 12
Nysted-2 2005 400
Næsbjerg 2002 8
Nørre Bork 2002 22
Nørrekær Enge 2002 25
Odder 2008 12
Odense Havn 2011 7
Overgård 1999 80
Ovnbøl 2011 12
Ovnsbøl 2010 12
Pogemose 2011 9
Påkærvej 2007 1
Rakkeby 2005 -
Ravnkilde 2011 11
Rens 2008 18
Rigtrup 2009 16
Rise, Ærø 2002 6
Roager 2010 12
Rosvang 2011 29
Rudmose 2008 7
Rødkærsbro 2008 11
Rødsand 2001 166
Rønbjerg 2002 3
Samsø Offshore 2000 46
Sdr Balling 2005 6
Sdr Omme 2011 36
Sdr. Herred plantage 2009 18
Sdr. Omme 2010 30
Sindbjerg 2011 18
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk

27-03-2012 Page 4 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Sjørring Sø 2008 18
Skafeøgård gods 2010 9
Skallerup 2008 9
Skanderborg 2008 11
Skansen 2008 4
Skarp-salling 2006 3
Skattebølle 2003 1
Skibsted 2004 5
Skiffard 2010 9
Sprogø 2008 21
St. Arden 2011 10
Stensgård 2007 12
Sundsøre 2005 43
Svenstrup 2011 12
Svoldrup 2009 18
Syddjurs 2009 13
Søllested 2011 9
Sønder Omme 2010 27
Søndergård 2008 1
Testrupvej 2010 9
Timring 2001 5
Tjæreborg 2001 2
Tjørnved 2010 5
Todbølvej 2005 11
Trehøje 2001 7
Trevillac 2002 8
Trolshede 2008 9
Trøllund 2011 6
Turebylille 2011 12
Tæbring 2003 5
Tåsinge 2008 5
Urup 2003 12
Vandel 2011 81
Vedersø Kær 1999 6
Vejerslev 2002 3
Vejle, 9 sites 1999 47
Vejrup 2009 30
Vester Barde 2009 6
Vognkær 2006 15
Ærø 1999 8
Østerild 2011 -
Aalborg 2008 16
Aalborg Østhavn 1999 24
Ålestrup 2010 8
Denmark Total 4.623
Egypt ElZayt 2006 120
ElZayt_Italgen 2010 100
ElZayt_NREA project 2009 200
Marsa alam 2006 20
Zafarana 2004 140
Zafarana-1 1999 30
Zafarana-2 1999 30
Zafarana-3 1999 33
Egypt Total 673
Estonia Aseri 2008 24
Kunda 2007 6
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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27-03-2012 Page 5 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Pakri 2002 75
Pakri 2 2011 54
Pakri II 2007 48
Paldiski 2004 20
Paldiski 2 2003 69
Rõuste 2004 16
Türisalo 2004 21
Vaivina 2011 44
Vanakula 2011 9
Virtsu 2008 10
Viru-Nigula 2007 -
Estonia Total 397
Faroe Islands Hvalbas 2010 3
Faroe Islands Total 3
Finland Forssa 2011 99
Siipyy and Inkoo 2010 519
Finland Total 618
France Bel Air 2009 7
Bouin, Frankrig 2002 22
Cormainville 2006 60
Echanvilliers 2007 12
Edern 1999 7
Gravieres 2007 11
Korsika 1998 2
Longue Epine 2004 20
Merdelou 1998 4
Moulin d'Autrementcourt 2008 15
Narbonne 2003 20
pargues, Bourguignons 2007 24
Pleyber-Christ 2006 6
Plouray 2007 -
Seglien 2005 9
Silfiac 2005 3
Trevillac 2002 5
France Total 226
Germany 14 sites in Germany 2010 175
4 offshore Germany 2008 1.500
Achim 2009 5
Aerzen 2004 8
Alpen 2008 10
Assendorph 2006 4
Atzendorf 2005 8
Bad Essen 2005 8
Bad Gandersheim 2008 8
Bad Iburg 2005 7
Badeleben II 2005 10
Badingen 2000 14
Bageritz 2003 4
Barslund 2006 6
Bennigsen 2006 2
Benz 2005 3
Berg 2003 11
Berge-Kleeste 2005 17
Beserits 2004 8
Bippen 2005 28
Blaufelden 2004 22
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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27-03-2012 Page 6 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Bliesdorf 2004 8
Borne 2005 5
Breeze 2007 350
Buchbrunn 2009 13
Bulack 2007 6
Burbach 2007 -
Burg-Gemunden 2004 8
Burg-Gemünden 2007 -
Bützow 2007 -
Charlottenhof 2011 -
Coesfeld 2006 8
Crussow 2004 16
Cunnersdorf, Lederhose og Wesenberg 2002 14
Dammfledt 2008 9
Dammfleth-Hochfeld 2006 8
Dretzen 2004 15
Dörenhagen 2006 8
Eckstever 2005 5
Eichede 2003 5
Elblang 2004 8
Elsterheide 2006 4
Elsterwerda 2005 8
Erlangen 2003 10
Extertal 2004 8
Freudenberg 2008 2
Freyenstein 2006 16
Gamlen 2009 6
Ganzer 2005 12
Gerdshagen 2010 13
Glasin 2006 4
Gottberg 2007 3
Grosskorbetha 2006 28
Grossvargula 2005 10
Güntersdorf 2005 26
Hagnelberg 2003 22
Haldesleben 2005 4
Halenbeck 2006 18
Heerde 2004 4
Heidenau 2005 6
Helberge 2006 48
Herbsleben 2011 3
Herzogenrath 2006 4
Hesselbach 2008 10
Hilgermissen 2005 2
Hude 2009 10
Hüffler 2006 4
Höfer 2004 8
Hörningen 2006 2
Illerich 2009 4
Jülich 2011 2
Kall 2008 21
Kirchdorf 2007 2
Kirchheilingen 2004 2
Krevese 2006 6
Krevesse 2004 8
Kruge-Gersdorf 2006 8
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk

27-03-2012 Page 7 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Kylburgweiler 2004 8
Lahstedt 2005 10
Landin 2004 2
Langeneichstedt 2004 4
Langengrassau 2006 4
Laubersreuth 2005 4
Lehrte 2007 9
Litzendorf 2006 3
Luckau 2007 20
Marienburg 2007 -
Martinskirchen 2005 14
Meineweh 2007 5
Meschede 2005 9
Moorhusen 2006 3
Muhstedt 2006 2
Munchenberg 2004 9
Mutzschen 2007 10
Mühlanger 2007 -
Müncheberg 2005 8
Möglens 2005 10
Mönchengladbach 2006 4
Nettetal 2005 6
Neuferchau 2003 10
Niedere Börde 2006 2
Niederzier 2004 8
Ochtrup 2010 4
Oelerse 2004 14
Oster Cappelen 2004 24
Pattensen 2007 4
Pegau 2006 6
Pirkach 2003 2
Pirow 2007 -
Pretxier 2003 3
Repower 2005 101
Rheinstedt 2001 2
Riesenbech 2007 -
RoterBerg 2005 6
Saerbeck 2005 8
Salzgitter 2007 -
Samersbach 2004 9
Scheibe 2004 8
Scheibe-Trattendorf 2006 16
Schkortleben 2006 28
Schwarzer Berg II 2009 4
Schönhagen 2004 20
Sebbenhausen 2004 16
Sierschleben 2004 8
Siestedt 2006 26
Sillerup 2005 30
Soltau 2005 29
South Germany 2008 16
Stockdorf 2006 18
Stüdenitz 2006 8
Timpberg 2003 16
Trattendorf 2005 10
Trebitz 2007 18
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk

27-03-2012 Page 8 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Ucermark 2001 2
Ukendt 2006 3
Urbshat 2007 -
Vierschau 2010 5
Vlotho 2006 3
Voltlage 2005 11
Wadersloh 2005 5
Wallenhorst 2004 8
Wehrendorf 2005 2
Wellen 2006 10
Welzow 2005 40
Wernitz 2004 22
Wester Kappeln 2005 2
Westerberg 2007 14
Westerhausen 2005 2
Wettendorf 2006 20
Wismar 2007 -
Wittighausen 2010 6
Wormlage 2005 8
Wulfsen 2005 7
Wundersleben 2006 6
Wüllersleben 2005 6
Zabeldorf 2003 9
Zehlensdorf 2007 -
Zwickau 2005 4
Germany Total 3.498 158
Greece Chelona 1998 7
Keveros 2002 31
Kilkis 2002 248
Logotheti 2000 4
Malavria 2002 30
Panachaikos 2007 48
Servourni 2006 21
Vlachokerassia 1999 34
Greece Total 424 8
Honduras Cero de Hula 2008 101
Honduras Total 101 1
Indonesia Martinroda 2007 -
Indonesia Total #N/A 1
Ireland Altahullion 2003 26
Armitage 2002 7
Ballybeagh 2004 7
Ballyragget 2011 4
Barranafaddock 2009 44
Beal Hill 2002 3
Beallough 2003 2
Bearna Gaoithe Teoranta phase 2 2008 2
Bellacorich 2001 356
Clogheravaddy/Ballyduff 2011 5
Drimoleague 2004 4
Dunmanven 2003 5
Dunmore 2003 3
Garraneagh 2010 16
Garranereagh 2008 8
Keelderry 2001 25
Killybegs 2005 10
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk

27-03-2012 Page 9 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Kilvinana Phase 2 2010 6
Lahanaught 2005 4
Meenailta 2004 5
Monsey 2002 7
Shillelagh 2003 3
Sonnagh 2003 8
Toomyvara 2003 3
Ireland Total 559
Israel Mei-Golan 2007 372
Israel Total 372
Italy Agostino 2007 259
Avetrana 2005 5
Bivona 2006 24
Bratello & Fillattiera 2001 25
Brattello 2008 16
Castellenata 2008 90
Cellino S. Marco 2008 45
Contessa 2006 31
Corleone 2006 22
Deliceto 2009 30
Delicetto 2008 88
Fosso del Lupo 2006 84
Laterza 2008 108
Messina 2006 42
Monte Cavallo 2003 101
Monterenzio 2006 14
Mottola 2011 28
Pianopoli 2011 80
Podermuovo 2009 9
Puglia 5 sites 2009 20
San Bernado 2004 23
San Bernado-follow up 2010 13
Sefro & Fiuminata 2001 39
Sicily 2002 180
Tortorici 2006 24
Varese Ligure 2001 5
Vizzini 2006 27
Italy Total 1.431
Japan Kagamiyama 2004 17
Japan Total 17
Kenya 7 KenGen sites 2011 600
Kinangop 2011 63
Lake Turkana 2010 300
Kenya Total 963
Korea Korea Offshore Jeju & Busan 2009 165
Taean 2009 648
Korea Total 813
Latvia Atvari2 2008 46
Grobina 2002 20
Mezde & Vecia Forti 2000 20
Offshore 2011 444
Uzava 2008 100
Uzavas 2009 200
Vainode 2011 41
Vides 2010 7
Latvia Total 878
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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27-03-2012 Page 10 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Lithuania Ciuteliai 2007 40
Ciuteliai, Lankupiai, Grumbliai 2009 40
Dundaga 2008 20
Juknaiciai 2008 30
Kretinge and Anyksciai 2009 200
Mazeikiai 2010 150
Mockiai 2008 20
Palanga 2003 6
Shilale 2006 20
Silale 2008 24
Silate 2010 14
Silute 2011 110
Sudenai 2007 38
Unkown 2009 6
Vezaicia 2007 16
Vezaiciai 2003 38
Vidmantai 2005 27
Zidikai 2003 0
Zvirgzdaiciai 2011 48
Lithuania Total 846
Mexico La Venta 2002 33
Mexico Total 33
Morocco Boujmil 2009 300
Laayoune 2006 20
Morocco Total 320
Nicaragua Las Sierras 2006 41
Ometepe 2005 1
Pacaya 2005 18
Rivas 2006 41
Nicaragua Total 102
Norway Andamyran 2009 135
Andmyran 2006 160
Aure 2007 113
Berg 2004 5
Bjerkreim 2011 480
Bremanger 2000 1
Eike-&Steinsland 2006 216
Eikeland 2007 -
Havgul 2005 1.499
Havøygavlen 2000 53
Hestholmen 1998 2
Kamøya 2007 600
Markee 2007 -
Mehuken 2001 4
Midtfjellet 2008 138
More sites 2008 345
Narvik 2003 23
Northsea 2008 1.000
Norway 2009 300
Several Norwegian projects 2010 500
Siragrunnen 2008 200
Skreifjellat 2010 126
Smøla 2002 80
Tonstad 2010 300
Norway Total 6.279
Pakistan Jhimpir 2009 1
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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27-03-2012 Page 11 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Tenaga 2011 50
Pakistan Total 51
Phillipines Saolit 2000 42
Phillipines Total 42
Poland Barzowice 2003 20
Barzowice-2 2002 18
Bels 2008 40
Charnowo 2003 14
Chasno 2008 70
Dabrowice 2008 40
Drzezewo 2004 30
Duninowo 2002 180
Duszniki 2007 -
Duszniki, Kozlovski and Lebcz, 2006 147
Energy Park 44 2006 44
Gluchow 2010 40
Grzegorzew 2008 100
Grzegozew 2007 125
Hajnowka 2008 70
Ilza3 2011 84
Karcino 2005 90
Karcino-2 2006 17
Karolin 2005 30
Keblowo 2011 4
Kiesielice 2005 41
Kluczbork 2009 40
Kowalewo 2009 48
Krzyzanow 2008 14
Kukinia 2007 36
Lasin 2011 3
Leki Dukielski 2002 8
Lezcyca 2008 8
Linowo 2010 50
Lisewo 2007 12
Lodz 2007 4
Lubawa 2008 60
Lukaszow 2009 73
Lutol - Kluczbork 2011 50
Modlikowice and Łukaszów 2008 58
More sites 2008 150
Nacmierz 2007 -
Niewolno 2011 6
Northern Poland, more sites 2000 200
Pepsa 2008 138
Polczyno 2005 2
Puck 2004 8
Rebielice 2009 48
Rewal & Samlino 2001 20
Roby 2006 4
Ronica 2006 20
Rypin 2008 3
Sanniki 2008 8
Sniatowo 2004 30
Stramnica 2001 6
Szczawin & Sanniki 2008 98
Tychowo 2005 49
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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27-03-2012 Page 12 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Tymien 2003 50
Utska & Dobieszewo 2007 -
Walcz 2005 5
Wartkowo 2009 30
Weltzin 2001 1
Wicko 2005 40
Witkowo 2010 4
Wojcieszyn 2010 28
Zagorze 2000 30
Zajaczkowo 2004 90
Zakrzewo 2002 11
Zakrzewo & Barzowice II 2006 14
Zaleskie, Ustka 2006 38
Zelazno 2010 38
Zensko 2009 8
Zlotow 2011 8
Poland Total 2.846
Romania Adjud 2009 1.456
Albesti 2009 10
Apollo 2011 -
Constanza 2004 -
Cusa Voda, Bordei Verde and Insurate 2010 20
Mahmudia 2010 4
Saligny + Baia 2008 165
Schela 2011 8
Smulti, Virlezi and Pechea 2010 14
Smulti_Virlezi_Pechea 2010 16
Romania Total 1.693
Russia Kaliningrad 1999 5
Russia Total 5
Slovakia Bratislava 2007 100
Slovakia Total 100
South Africa Nobelsfontein 2011 74
South Africa Total 74
SriLanka More sites evaluated 2010 500
SriLanka Total 500
Sweden Albrunna 1999 11
Betåsberget 2011 -
Bjärsgård 2008 24
Bondöen expansion 2010 25
Bondön 2002 107
Brahehus 2009 18
Brattön 2009 15
Brännåsen 2011 -
Bydalen 2002 1
Bösjövarden 2010 21
Bösjåovarden 2011 27
Dalbygda 2011 30
Degerhamn 2003 1
Digeberget 2004 1
Dingle skogen 2010 28
Erikstad 2009 3
Eslöv 2003 9
Falkenberg 2001 156
Fallåsberget 2011 33
Falskog 2011 14
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Fanbun 1999 5
Femstenaberg 2009 38
Fröslida 2010 18
Gotland 1998 22
Gotland, Väskinde 2001 1
Gråtanliden 2011 -
Hakarp 2011 24
Halland 2009 13
Hallsberg 2011 6
Hanöbukten 2006 315
Havsnäs 2006 96
Hedbodberget 2007 72
Hjuleberg 2010 41
Hornberget 2005 12
Hunnflen 2004 11
Husum 2001 5
Häcksta 2007 -
Hällevadsholm 2010 7
Håcksta 2004 10
Håscksta 2011 10
Karlskrona 2000 2
Kil 2009 8
Kiruna 2001 5
Klasgården 2001 20
Klimpfläll 1999 3
Korpflället 2010 35
Kulltorp 2008 13
Kyrkberget 2009 40
Källs Nöbbelöv 2003 2
Kåphult 2010 23
Landskrona 2006 72
Laxeby 2002 1
Lille Stalofjellet 2000 10
Lillgrund 2005 144
Linderödsåsen 2009 66
Lingbo 2011 27
Lunakullen 2006 89
Lunnekullen 2006 110
Löberöd 2003 10
Lökaryd 2008 20
Lövstaviken 2002 12
Långåvålen 1999 11
More sites 2008 158
Mullberget 2011 -
Mässingberget 2010 24
Mörnarpa 2002 4
Norrvåge 2000 2
Nyvallsåsen 2011 -
Näsudden 2010 66
Odarlöv 1999 9
Pahtohavare 2003 11
Piteå 2001 1
Ratan 2001 1
Riseröd 2002 9
Rätan 2011 56
Röbergskullen 2007 16
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk

27-03-2012 Page 14 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Råshön 2003 15
Saxberget 2006 30
Sjisjka 2011 90
Sjungkalotten 2007 -
Sjöbo 2000 5
Skarhults Nygård 2004 8
Snäckebjär 2007 30
Stora Pølsan 2009 601
Store Middelgrund 2010 400
Store Middelgrunden 2009 400
Stor-Rotlinen 2008 40
Storrun 2007 30
Storungs 2000 9
Strömsbruk 2002 3
Sundwall 2000 50
Svalöv 2001 5
Sweden, 8 off shore 2001 688
Sölve 2011 4
Tjärnskogen/SCANraff 2002 22
Tolvmanstegen 2011 109
Töftedalsfjellet 2009 63
Töftedalsfjället 2010 48
Uddared 2007 -
Uddarp 2007 6
Uljabuouda 2008 30
Umeä 1999 60
Vestre Götaland 2002 53
Veteberget 2011 -
Väktaran (Vänern) 2004 2
Västreby 2003 3
Aapua 2003 15
Årjäng 2011 21
ÅrjängSW 2011 -
Årröd 2001 6
Ås 2010 14
Sweden Total 5.161
Thailand Lam Takhong 2009 50
Thailand Total 50
Turkey 8-sites Turkey 2007 200
Akhisar 1999 57
Akres 2006 40
Alacati 1998 7
Antifer 2001 10
Ardicli 2010 38
Ayyildiz 2006 16
Bandirma III 2008 25
Barbaros 2000 18
Belen-II 2006 20
Bodrum 1999 20
Boreas 2007 12
Bozyaka 2009 18
Canakkale 2006 30
CerMetal 2007 -
Dacha 1998 15
Ekinli 2006 54
Garet-Turkey 2007 100
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
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27-03-2012 Page 15 of 15
Wind Farm Energy Assessments performed by EMD 1998-2011
Country Site Year MW Sites
Geycek 2009 113
Guzelyer 2000 48
Kadiovacik 1998 12
Kangal 2011 -
Kapidaga 2010 34
Karabiga 1998 48
Karacabey 2006 26
Karadagres 2008 10
Karakurt 2005 11
Kranseki 2006 12
Mersin 2008 33
Metristepe 2010 45
Mireasa, Silistea, Dorobantu 2009 125
Pianopoli 2007 -
Samli 2010 114
Sebenoba 2005 30
Sertavul 2006 46
Servatul 2007 -
Süleymanli 1998 40
Turkey, 3 sites 2001 11
Yaylaköy 2008 15
Yellice Bellin 2000 30
Turkey Total 1.483
UK Barrow 2004 90
Fleetwood 2003 824
Hare Hill 2001 5
Harlock Hill 2000 2
High Volts 2001 5
Holmside 2000 2
Kentish Flat 2002 83
Kirkheaton 1999 2
Mickfield 2006 12
Saltfleet 2003 603
West Cumbria 1999 5
UK Total 1.632
Ukraine Kalanchak & Novorossijsk'e 2011 309
Krasnoperekopsk 2010 100
Presnovodnick & Tarhankutskaya 2006 600
Tarkhankutskaya 2009 306
Ukraine Total 1.315
USA Brazos Wind Ranch 2002 83
Delaware 2007 300
E Colorado 2006 102
Geary Cty Kansas 2006 165
Hays Kansas 2006 200
Kulm 2002 119
Laramie Cty, WY 2006 200
Michigan lake 2010 1.000
NE New Mexico 2006 50
New Jersey 2007 348
North Dakota-South Dakota 2006 50
SE Colorado 2006 50
SW Nebraska 2006 101
W Kansas 2006 101
USA Total 2.865
Grand Total 69.532
EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg, tel.+45 9635 4444, fax. +45 9635 4446, www.emd.dk
40
11
4
14
796

8.2 Wind Turbine: technical specifications and power curve

Siemens SWT-2.3-113 2300 113.0 !O!
File C:\Users\Maurizio.EMD\Documents\WindPRO Data\WTG Data\Siemens SWT-2.3-113 2300 113.0 !O!.wtg
Company Siemens
Type/Version SWT-2.3-113
Rated power 2.300,0 kW
Secondary generator 0,0 kW
Rotor diameter 113,0 m
Tower Tubular
Grid connection 50/60 Hz
Origin country DK
Blade type
Generator type Variable
Rpm, rated power 0,0 rpm
Rpm, initial 0,0 rpm
Hub height(s) 93,0; 0,0 m
Maximum blade width 3,40 m
Blade width for 90% radius 0,60 m
Valid Yes
Creator USER
Created 16-06-2011 14:33
Edited 16-06-2011 14:33
Power curve: Level 0 - - Standard setting 0dB -
Source Manufacturer
WindPRO is developed by EMD International A/S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, e-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Printed/Page
30-11-2012 11:16 / 1
Licensed user:
Noise reduced edition available. Please contact Siemens
Wind Power for details
Calculated:
30-11-2012 11:16
Source date Creator Created Edited Default Stop windSpeed Air density Tip angle Power control CT curve type
[m/s] [kg/m3] [°]
00-00-0000 00:00 EMD 04-05-2009 09:19 16-06-2011 14:43 Yes 25,0 1,225 6,0 Pitch User defined
Power curve
Wind speed [m/s] 2,00 3,00 4,00 5,00 6,00 7,00 8,00 9,00 10,00 11,00 12,00 13,00 14,00 15,00 16,00
Power [kW] 0,00 66,00 171,00 352,00 623,00 1.002,00 1.497,00 2.005,00 2.246,00 2.296,00 2.300,00 2.300,00 2.300,00 2.300,00 2.300,00
Ce 0,000 0,398 0,435 0,458 0,470 0,476 0,476 0,448 0,366 0,281 0,217 0,170 0,136 0,111 0,091
Wind speed [m/s] 17,00 18,00 19,00 20,00 21,00 22,00 23,00 24,00 25,00
Power [kW] 2.300,00 2.300,00 2.300,00 2.300,00 2.300,00 2.300,00 2.300,00 2.300,00 2.300,00
Ce 0,076 0,064 0,055 0,047 0,040 0,035 0,031 0,027 0,024
Ct curve
Wind speed [m/s] 2,00 3,00 4,00 5,00 6,00 7,00 8,00 9,00 10,00 11,00 12,00 13,00 14,00 15,00 16,00 17,00 18,00 19,00 20,00 21,00 22,00 23,00 24,00 25,00
Ct 0,000 0,878 0,885 0,881 0,881 0,882 0,850 0,761 0,553 0,383 0,286 0,222 0,177 0,144 0,120 0,101 0,086 0,074 0,065 0,057 0,050 0,045 0,040 0,036
HP curve comparison
Vmean [m/s] 5 6 7 8 9 10
HP value [MWh] 4.796 6.995 8.998 10.704 12.095 13.175
Level 0 - - Standard setting 0dB - [MWh] 5.110 7.323 9.316 10.997 12.352 13.387
Check value [%] -6 -4 -3 -3 -2 -2
The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which
assume that all WTGs performs quite similar - only specific power loading (kW/m^2) and single/dual speed or
stall/pitch decides the calculated values. Productions are without wake losses.
For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see WindPRO manual
chapter 3.5.2.
The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual
Energy Productions for Wind Energy Projects worldwide", jan 2003.
Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power
curve probably is too optimistic due to uncertainty in power curve measurement.
Updated in WindPRO 2.8, Feb. 2012, see details in manual!

8.3 WindPRO results

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO I
Modelo de Esteira N.O. Jensen (RISØ/EMD)
Configurações de Cálculo
Modo de cálculo da densidade do ar Individual por aerogerador
Resultado do aerogerador na altitude do cubo 1,030 kg/m³ para 1,059 kg/m³
Densidade do ar em relação ao padrão 84,1 % para 86,5 %
Altitude do cubo acima do nível do mar (asl) 1.301,5 m para 1.586,4 m
Temperatura média anual na altitude do cubo 12,2 °C para 14,0 °C
Pressão nos Aerogeradores 843,8 hPa para 873,0 hPa
Parâmetros do Modelo de Esteira
Do ângulo Para o ângulo Tipo de terreno Constante de Decaimento de Esteira
[°] [°]
-180,0 180,0 Open farmland 0,075
Configurações de cálculo de esteira
Ângulo [°] Velocidade do vento [m/s]
início fim passo início fim passo
0,5 360,0 1,0 0,5 30,5 1,0
Versão do WAsP WAsP 6-9 RVEA0011.dll 1, 0, 0, 13
Parâmetros do WAsP Parâmetros WASP fora do padrão - informações detalhadas
no final de Resultados principais
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:25 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:19/2.8.572
Escala 1:225.000
Novo Aerogerador Dados do terreno
Resultados chave para altura de 100,0 m acima do nível do terreno
Terreno UTM WGS84 S Zona: 22
Leste Norte Nome da distribuição de Tipo Energia eólica Velocidade Rugosidade
vento média do equivalente
vento
[kWh/m²] [m/s]
A 614.109 6.900.652 For WAsP - URA N WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.853 6,7 2,1
B 618.993 6.893.678 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.418 6,5 1,2
C 615.567 6.896.612 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.091 6,2 1,7
Energia Anual Calculada para Complexo Eólico
Resultados específicos¤)
Arranjo de Aerogeradores Resultado BRUTO (sem perda) Eficiência Fator de Resultado médio Horas de carga Velocidade média do vento
PARK Aerogeradores livres do parque capacidade por Aerogerador plena @altura do cubo
[MWh/ano] [MWh/ano] [%] [%] [MWh/ano] [Horas/ano] [m/s]
Complexo eólico 90.632,2 98.780,2 91,8 34,6 6.971,7 3.031 6,6
¤) Baseado em resultados reduzidos por efeito esteira, porém nenhuma outra perda incluída
Energia Anual Calculada para cada um de 13 novos Aerogeradores com potência nominal total de 29,9 MW
Tipo de Aerogerador Curva de potência Energia Anual Parque
Terreno Válido Fabric. Tipo de gerador Potência, Diâmetro do Altura Criador Nome Resultado Eficiência Fator de Velocidade
nominal rotor do capacidade média do
cubo vento
[kW] [m] [m] [MWh] [%] [%] [m/s]
1 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 8.032,6 94,20 39,8 7,14
2 C Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.607,0 95,14 37,7 6,80
3 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.567,9 91,54 37,5 6,99
4 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.033,5 90,32 34,9 6,71
5 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.202,0 93,03 35,7 6,67
6 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.760,7 91,35 33,5 6,41
7 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.817,3 89,75 33,8 6,58
8 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.985,4 91,61 34,6 6,61
9 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.798,6 91,88 33,7 6,42
10 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.691,8 89,58 33,2 6,54
11 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.369,4 88,43 31,6 6,39
12 C Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.403,6 96,01 31,8 6,06
13 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.362,4 89,64 31,6 6,33
Resultados Anuais de Energia não incluem nenhuma perda além das perdas por efeito esteira. Para PAE líquida esperada (produção esperada
garantida), verificar relatório de Perdas & Incertezas.
*) Nas perdas por conjunto está incluída influência de 61 Aerogerador(es) na vizinhança, que recebe(m) o status de Aerogeradores de Referência, veja relatório a parte para identificá-los.

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO I
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:25 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:19/2.8.572
Localização do Aerogerador
UTM WGS84 S Zona: 22
Leste Norte Z Dados de linha/Descrição
[m]
1 Novo 614.656 6.890.912 1.303,2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1086)
2 Novo 614.581 6.892.062 1.270,2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1087)
3 Novo 615.006 6.891.012 1.305,0 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1088)
4 Novo 616.256 6.892.287 1.338,1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1089)
5 Novo 615.356 6.892.162 1.308,2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1090)
6 Novo 617.006 6.890.312 1.275,1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1091)
7 Novo 615.806 6.891.262 1.302,6 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1092)
8 Novo 615.906 6.892.337 1.318,6 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1093)
9 Novo 616.706 6.890.587 1.291,5 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1094)
10 Novo 616.731 6.892.262 1.338,5 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1095)
11 Novo 617.131 6.892.512 1.334,3 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1096)
12 Novo 614.206 6.892.337 1.202,0 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1097)
13 Novo 615.356 6.891.037 1.261,9 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1098)
Parâmetros WAsP fora do padrão
Parâmetro do WAsP Mínimo Máximo Padrão Valor atual
Standard height #3 [m] 5,0000 200,0000 50,0000 60,0000
Standard height #4 [m] 5,0000 200,0000 100,0000 80,0000
Standard height #5 [m] 5,0000 200,0000 200,0000 100,0000
Offset heat flux over land -200,0000 200,0000 -40,0000 -20,0000

Projeto:
BSO+URA
PARK - Análise da produção
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:25 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:19/2.8.572
Cálculo: BSO IAerogerador: Todos os novos Aerogeradores, Densidade do ar varia com a posição dos aerogeradores 1,030 kg/m³ - 1,059 kg/m³
Análise Direcional
Setor 0 N 1 NNE 2 ENE 3 L 4 ESE 5 SSE 6 S 7 SSO 8 OSO 9 O 10 ONO 11 NNO Total
Energia baseada em rugosidade [MWh] 30.318,3 11.173,7 4.107,3 2.141,7 1.951,2 696,8 660,6 2.466,6 7.247,3 5.924,9 5.021,7 8.952,8 80.662,9
+Aumento devido às colinas [MWh] 6.203,6 1.908,4 615,0 437,1 651,8 527,6 526,3 1.019,6 904,1 724,5 1.086,0 3.513,3 18.117,3
-Decréscimo devido às perdas de conjunto [MWh] 2.109,1 1.036,3 915,3 644,2 290,8 113,6 68,8 159,0 736,0 950,6 361,7 762,5 8.148,0
Energia resultante [MWh] 34.412,8 12.045,9 3.807,0 1.934,5 2.312,1 1.110,8 1.118,1 3.327,1 7.415,4 5.698,8 5.746,0 11.703,6 90.632,2
Energia específica [kWh/m²] 695
Energia específica [kWh/kW] 3.031
Aumento devido às colinas [%] 20,5 17,1 15,0 20,4 33,4 75,7 79,7 41,3 12,5 12,2 21,6 39,2 22,46
Decréscimo devido às perdas de conjunto [%] 5,8 7,9 19,4 25,0 11,2 9,3 5,8 4,6 9,0 14,3 5,9 6,1 8,25
Utilização [%] 21,5 25,5 33,6 33,6 37,3 40,4 42,4 41,3 35,3 31,3 28,7 27,9 26,2
Operacional [Horas/ano] 1.998 907 509 371 360 247 257 461 835 625 544 958 8.072
Equivalente à carga plena [Horas/ano] 1.151 403 127 65 77 37 37 111 248 191 192 391 3.031

Projeto:
BSO+URA
PARK - Curva de potência do parque
Cálculo: BSO I
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:25 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:19/2.8.572
Potência
Velocidade do Aerogeradores Aerogeradores do N NNE ENE L ESE SSE S SSO OSO O ONO NNO
vento livres parque
[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]
0,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,5 1.785 1.576 1.606 1.605 1.590 1.507 1.494 1.572 1.606 1.608 1.591 1.505 1.494 1.571
3,5 7.306 6.165 6.291 6.297 6.241 5.865 5.783 6.112 6.286 6.307 6.257 5.855 5.793 6.113
4,5 16.109 13.751 14.006 14.026 13.916 13.126 12.960 13.650 14.003 14.057 13.955 13.110 12.963 13.641
5,5 30.143 25.963 26.436 26.484 26.242 24.789 24.504 25.798 26.442 26.554 26.303 24.764 24.511 25.789
6,5 50.320 43.583 44.369 44.467 44.009 41.642 41.160 43.341 44.401 44.590 44.104 41.581 41.167 43.307
7,5 77.670 67.691 68.923 69.058 68.279 64.728 63.962 67.391 68.976 69.225 68.409 64.639 63.977 67.292
8,5 112.142 99.377 101.198 101.293 100.005 95.291 94.194 99.078 101.169 101.437 100.120 95.121 94.209 99.014
9,5 146.151 134.487 136.486 136.626 134.845 130.152 128.859 134.362 136.467 136.710 134.990 130.047 128.930 134.350
10,5 162.578 158.309 159.348 159.410 158.368 156.076 155.271 158.538 159.325 159.397 158.458 156.112 155.352 158.559
11,5 168.463 167.793 168.002 168.006 167.803 167.356 167.162 167.859 167.990 167.989 167.823 167.372 167.198 167.874
12,5 170.025 169.957 169.989 169.988 169.957 169.891 169.869 169.969 169.987 169.983 169.958 169.894 169.872 169.971
13,5 170.200 170.194 170.197 170.197 170.194 170.187 170.186 170.195 170.197 170.197 170.193 170.187 170.185 170.196
14,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
15,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
16,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
17,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
18,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
19,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
20,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
21,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
22,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
23,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
24,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
25,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
26,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
27,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
28,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
29,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Descrição:
A curva de potência do parque é semelhante a uma curva de potência de Aerogerador, significando que quando uma dada velocidade de vento aparece em frente ao parque com a
mesma velocidade em toda a área do parque (antes da influência do parque), o resultado do parque pode ser encontrada na curva de potência do parque. Outra forma de se dizer
isto: A curva de potência do parque inclui perdas de conjunto, mas NÃO inclui variações do terreno na velocidade do vento pela área do parque.
A medição de uma curva de potência do parque não é tão simples como a medição de uma curva de potência de Aerogerador devido ao fato de que a curva de potência do parque
depende da direção do vento e de que a mesma velocidade do vento normamente não aparecerá para toda a área do parque ao mesmo tempo (apenas em terrenos não complexos
extremamente lisos). A idéia com esta versão de curva de potência do parque não é utilizá-la para validações baseadas em medições. Isto exigiria pelo menos 2 torres de medição
em dois lados do parque, caso contrário apenas poucos setores de direção poderiam ser testados, E terrenos não complexos (normalmente apenas utilizável em alto mar). Outra
versão de curva de potência do parque está disponível no WindPRO.
A curva de potência do parque pode ser utilizada para:
1. Sistemas de previsão, baseados em dados do vento mais brutos (aproximados), a curva de potência do parque seria uma maneira eficiente de fazer a conexão da
velocidade do vento (e direção) para a potência.
2. Construção de curvas de duração, contando quantas vezes uma determinada potência irá aparecer, a curva de potência do parque pode ser utilizada em conjunto com a
distribuição média do vento para a área do complexo Eólico na altura do cubo. A distribuição média do vento pode ser eventualmente obtida com base nos parâmetros de
Weibull para cada posição do Aerogerador. Estes são encontrados no menu de impressão: > Result to file< no > Park resultResult to file< dados de >Wind Speeds Inside Wind farm< também estão disponíveis. Estes podem (por exemplo, através do Excel) ser utilizados para extrair as
reduções causadas pela esteira na velocidade do vento medida.

Projeto:
BSO+URA
PARK - Map
Cálculo: BSO I
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:25 / 5
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:19/2.8.572
0 2,5 5 7,5 10 km
Mapa: Topographic , Escala de impressão 1:125.000, Centro do mapa UTM WGS84 S Zone: 22 Leste: 614.972 Norte: 6.898.846
Novo Aerogerador Aerogerador existente

Projeto:
BSO+URA
Loss&Uncertainty - Park result
Cálculo: BSO I
Main data for PARK
PARK calculation 2.8.572: BSO I
Count 13
Rated power 29,9 MW
Mean wind speed 6,6 m/s at hub height
Sensitivity 1,6 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
RESULTS
P50 P84 P90
NET AEP [GWh/y] 84,0 71,0 67,3
Capacity factor [%] 32,1 27,1 25,7
Full load hours [h/y] 2.810 2.375 2.250
Result details
P50 Uncertainty
GROSS AEP *) 98,8 GWh/y 15,4 %
Bias correction 0,0 GWh/y 0,0 % 0,0 %
Loss correction -14,8 GWh/y -14,9 % 2,4 %
Wake loss -8,2 %
Other losses -7,3 %
NET AEP 84,0 GWh/y 15,6 %
*) Calculated Annual Energy Production before any bias or loss corrections
Assumptions: Uncertainty and percentiles (PXX values) are calculated for the expected lifetime
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
Scale: 40.000

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO I
ASSUMPTIONS
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
LOSS
Method *) Loss Loss Std dev**) Comment
[%] [GWh/y] [%]
1. Efeitos esteira
Efeitos esteira, todos Aerogeradores Calculation 8,2 8,1 20,0
2. Disponibilidade
Disponibilidade da turbina Estimate 3,0 3,0 50,0
Disponibilidade da rede Estimate 0,5 0,5 20,0
3. Desempenho da turbina No input
4. Elétrica
Perdas elétricas Estimate 2,0 2,0 20,0 Calculado pela VILCO
5. Ambiental
Degradação de desempenho não devido à formação de gelo Estimate 1,0 1,0 50,0
Desligamento devido à formação de gelo, granizo, relâmpago, etc. Estimate 1,0 1,0 50,0
Alta e baixa temperatura Calculation 0,0 0,0 0,0
6. Corte No input
7. Outras No input
LOSS, total 14,9 14,8 2,4
UNCERTAINTY
Method *) Std dev, Std dev, Comment
wind speed AEP
[%] [%]
A. Dados de vento
Medição de vento/Dados de vento Estimate 5,0 8,0
Correção de longo termo Estimate 7,0
Variação de ano para ano Estimate 3,7 6,0
Clima futuro
Outra relacionada ao vento
Estimate 5,0
B. Modelo de vento
Extrapolação vertical Calculation 1,3 2,1
Extrapolação horizontal
Outra relacionada ao modelo de vento
C. Conversão de potência
Calculation 5,8 9,3
Incerteza na curva de potência
Medição de incertezas
Outras incertezas relacionadas à PAE
Calculation 2,0
D. BIAS, total uncertainty 0,0
E. Perdas, total uncertainty 2,4
UNCERTAINTY, total (1y average) 16,6
UNCERTAINTY, total (20y average) 15,6
VARIABILITY
Years Variability Total
(std dev) std dev
[%] [%]
1 5,96 16,6
5 2,66 15,7
10 1,88 15,6
20 1,33 15,6

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO I
RESULTS
AEP versus exceedance level / time horizon
PXX 1 y 5 y 10 y 20 y
[%] [MWh/y] [MWh/y] [MWh/y] [MWh/y]
50 84.018 84.018 84.018 84.018
75 74.610 75.107 75.172 75.204
84 70.147 70.880 70.975 71.023
90 66.142 67.088 67.210 67.271
95 61.075 62.288 62.445 62.523
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
*) Calculation means that a calculation method available in the WindPRO software is used. This still typically involve a user judgement and user data where the quality of those decides the accuracy. If
calculation method is used, the values will often be different from turbine to turbine, here the average is shown, but at page "WTG results" the individual turbine results are shown.
**) For totals the std dev refers to the full AEP, otherwise std dev refers to the bias or loss component which is a fraction of the total AEP.

Projeto:
BSO+URA
Loss&Uncertainty - WTG results
Cálculo: BSO I
Main data for PARK
PARK calculation 2.8.572: BSO I
Count 13
Rated power 29,9 MW
Mean wind speed 6,6 m/s at hub height
Sensitivity 1,6 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
Scale: 40.000
Expected AEP per WTG including bias, loss and uncertainty evaluation
20 years averaging
Description Calculated GROSS*) Bias Loss Unc. P50 P84 P90
[MWh/y] [%] [%] [%] [MWh/y] [MWh/y] [MWh/y]
1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1086) 8.526,8 0,0 12,7 15,9 7.446,4 6.269,8 5.930,2
2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1087) 7.995,3 0,0 11,8 15,9 7.051,8 5.938,7 5.617,4
3 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1088) 8.267,2 0,0 15,1 15,8 7.015,6 5.915,3 5.597,7
4 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1089) 7.787,3 0,0 16,3 14,2 6.520,2 5.601,2 5.335,9
5 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1090) 7.741,6 0,0 13,8 15,4 6.676,4 5.654,3 5.359,3
6 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1091) 7.400,6 0,0 15,3 16,7 6.267,3 5.229,4 4.929,8
7 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1092) 7.596,2 0,0 16,8 15,9 6.319,7 5.321,8 5.033,7
8 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1093) 7.625,0 0,0 15,1 14,7 6.475,6 5.527,9 5.254,3
9 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1094) 7.399,3 0,0 14,8 16,4 6.302,5 5.274,6 4.977,9
10 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1095) 7.470,4 0,0 17,0 14,0 6.203,5 5.338,9 5.089,3
11 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1096) 7.202,5 0,0 18,0 13,9 5.904,6 5.090,6 4.855,6
12 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1097) 6.669,9 0,0 11,0 17,7 5.936,3 4.892,0 4.590,5
13 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1098) 7.097,9 0,0 16,9 17,2 5.898,0 4.889,6 4.598,5
PARK 98.780,1 0,0 14,9 15,6 84.017,7 71.022,6 67.271,0

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO II
Modelo de Esteira N.O. Jensen (RISØ/EMD)
Configurações de Cálculo
Modo de cálculo da densidade do ar Individual por aerogerador
Resultado do aerogerador na altitude do cubo 1,030 kg/m³ para 1,059 kg/m³
Densidade do ar em relação ao padrão 84,1 % para 86,5 %
Altitude do cubo acima do nível do mar (asl) 1.301,5 m para 1.586,4 m
Temperatura média anual na altitude do cubo 12,2 °C para 14,0 °C
Pressão nos Aerogeradores 843,8 hPa para 873,0 hPa
Parâmetros do Modelo de Esteira
Do ângulo Para o ângulo Tipo de terreno Constante de Decaimento de Esteira
[°] [°]
-180,0 180,0 Open farmland 0,075
Configurações de cálculo de esteira
Ângulo [°] Velocidade do vento [m/s]
início fim passo início fim passo
0,5 360,0 1,0 0,5 30,5 1,0
Versão do WAsP WAsP 6-9 RVEA0011.dll 1, 0, 0, 13
Parâmetros do WAsP Parâmetros WASP fora do padrão - informações detalhadas
no final de Resultados principais
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:31 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:30/2.8.572
Escala 1:200.000
Novo Aerogerador Dados do terreno
Resultados chave para altura de 100,0 m acima do nível do terreno
Terreno UTM WGS84 S Zona: 22
Leste Norte Nome da distribuição de Tipo Energia eólica Velocidade Rugosidade
vento média do equivalente
vento
[kWh/m²] [m/s]
A 614.109 6.900.652 For WAsP - URA N WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.853 6,7 2,1
B 618.993 6.893.678 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.418 6,5 1,2
C 615.567 6.896.612 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.091 6,2 1,7
Energia Anual Calculada para Complexo Eólico
Resultados específicos¤)
Arranjo de Aerogeradores Resultado BRUTO (sem perda) Eficiência Fator de Resultado médio Horas de carga Velocidade média do vento
PARK Aerogeradores livres do parque capacidade por Aerogerador plena @altura do cubo
[MWh/ano] [MWh/ano] [%] [%] [MWh/ano] [Horas/ano] [m/s]
Complexo eólico 86.052,1 96.610,6 89,1 32,8 6.619,4 2.878 6,5
¤) Baseado em resultados reduzidos por efeito esteira, porém nenhuma outra perda incluída
Energia Anual Calculada para cada um de 13 novos Aerogeradores com potência nominal total de 29,9 MW
Tipo de Aerogerador Curva de potência Energia Anual Parque
Terreno Válido Fabric. Tipo de gerador Potência, Diâmetro do Altura Criador Nome Resultado Eficiência Fator de Velocidade
nominal rotor do capacidade média do
cubo vento
[kW] [m] [m] [MWh] [%] [%] [m/s]
1 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.360,2 93,71 36,5 6,72
2 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.137,1 91,87 35,4 6,62
3 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.949,9 88,62 34,5 6,71
4 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.629,4 88,05 32,9 6,56
5 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.558,2 88,56 32,5 6,44
6 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.545,2 87,51 32,5 6,52
7 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.506,5 86,94 32,3 6,51
8 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.717,9 89,58 33,3 6,55
9 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.270,5 88,52 31,1 6,30
10 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.472,2 91,84 32,1 6,25
11 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.481,2 89,86 32,1 6,39
12 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.271,5 87,11 31,1 6,40
13 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.152,3 85,39 30,5 6,36
Resultados Anuais de Energia não incluem nenhuma perda além das perdas por efeito esteira. Para PAE líquida esperada (produção esperada
garantida), verificar relatório de Perdas & Incertezas.
*) Nas perdas por conjunto está incluída influência de 61 Aerogerador(es) na vizinhança, que recebe(m) o status de Aerogeradores de Referência, veja relatório a parte para identificá-los.

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO II
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:31 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:30/2.8.572
Localização do Aerogerador
UTM WGS84 S Zona: 22
Leste Norte Z Dados de linha/Descrição
[m]
1 Novo 619.906 6.891.212 1.339,5 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1099)
2 Novo 620.556 6.892.487 1.391,8 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1100)
3 Novo 617.506 6.892.562 1.369,1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1101)
4 Novo 618.731 6.893.612 1.398,0 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1102)
5 Novo 618.956 6.892.487 1.349,1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1103)
6 Novo 619.056 6.893.412 1.397,1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1104)
7 Novo 617.656 6.891.762 1.327,4 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1105)
8 Novo 618.106 6.893.312 1.374,3 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1106)
9 Novo 618.006 6.891.712 1.293,1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1107)
10 Novo 620.556 6.891.437 1.337,4 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1108)
11 Novo 618.381 6.893.737 1.374,9 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1109)
12 Novo 619.381 6.893.687 1.397,3 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1110)
13 Novo 617.356 6.892.037 1.330,4 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1111)
Parâmetros WAsP fora do padrão
Parâmetro do WAsP Mínimo Máximo Padrão Valor atual
Standard height #3 [m] 5,0000 200,0000 50,0000 60,0000
Standard height #4 [m] 5,0000 200,0000 100,0000 80,0000
Standard height #5 [m] 5,0000 200,0000 200,0000 100,0000
Offset heat flux over land -200,0000 200,0000 -40,0000 -20,0000

Projeto:
BSO+URA
PARK - Análise da produção
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:31 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:30/2.8.572
Cálculo: BSO IIAerogerador: Todos os novos Aerogeradores, Densidade do ar varia com a posição dos aerogeradores 1,030 kg/m³ - 1,059 kg/m³
Análise Direcional
Setor 0 N 1 NNE 2 ENE 3 L 4 ESE 5 SSE 6 S 7 SSO 8 OSO 9 O 10 ONO 11 NNO Total
Energia baseada em rugosidade [MWh] 28.726,0 10.659,3 4.124,5 2.166,5 1.941,0 633,5 599,0 2.097,1 7.467,7 6.410,6 5.243,2 8.697,2 78.765,8
+Aumento devido às colinas [MWh] 4.372,3 1.516,6 1.097,1 921,3 849,4 349,4 303,4 583,1 1.478,9 1.645,4 1.482,9 3.245,0 17.844,8
-Decréscimo devido às perdas de conjunto [MWh] 2.666,4 1.254,1 659,7 420,5 360,4 80,9 75,2 365,5 1.197,6 1.111,8 971,9 1.394,6 10.558,5
Energia resultante [MWh] 30.431,9 10.921,9 4.561,8 2.667,3 2.430,0 902,1 827,2 2.314,7 7.749,0 6.944,2 5.754,2 10.547,7 86.052,1
Energia específica [kWh/m²] 660
Energia específica [kWh/kW] 2.878
Aumento devido às colinas [%] 15,2 14,2 26,6 42,5 43,8 55,2 50,6 27,8 19,8 25,7 28,3 37,3 22,66
Decréscimo devido às perdas de conjunto [%] 8,1 10,3 12,6 13,6 12,9 8,2 8,3 13,6 13,4 13,8 14,4 11,7 10,93
Utilização [%] 23,4 26,6 35,6 38,3 36,7 41,5 41,6 38,6 32,8 29,8 25,4 27,9 27,3
Operacional [Horas/ano] 1.923 895 546 409 377 229 232 408 870 687 573 960 8.107
Equivalente à carga plena [Horas/ano] 1.018 365 153 89 81 30 28 77 259 232 192 353 2.878

Projeto:
BSO+URA
PARK - Curva de potência do parque
Cálculo: BSO II
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:31 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:30/2.8.572
Potência
Velocidade do Aerogeradores Aerogeradores do N NNE ENE L ESE SSE S SSO OSO O ONO NNO
vento livres parque
[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]
0,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,5 1.785 1.576 1.606 1.605 1.590 1.507 1.494 1.572 1.606 1.608 1.591 1.505 1.494 1.571
3,5 7.306 6.165 6.291 6.297 6.241 5.865 5.783 6.112 6.286 6.307 6.257 5.855 5.793 6.113
4,5 16.109 13.751 14.006 14.026 13.916 13.126 12.960 13.650 14.003 14.057 13.955 13.110 12.963 13.641
5,5 30.143 25.963 26.436 26.484 26.242 24.789 24.504 25.798 26.442 26.554 26.303 24.764 24.511 25.789
6,5 50.320 43.583 44.369 44.467 44.009 41.642 41.160 43.341 44.401 44.590 44.104 41.581 41.167 43.307
7,5 77.670 67.691 68.923 69.058 68.279 64.728 63.962 67.391 68.976 69.225 68.409 64.639 63.977 67.292
8,5 112.142 99.377 101.198 101.293 100.005 95.291 94.194 99.078 101.169 101.437 100.120 95.121 94.209 99.014
9,5 146.151 134.487 136.486 136.626 134.845 130.152 128.859 134.362 136.467 136.710 134.990 130.047 128.930 134.350
10,5 162.578 158.309 159.348 159.410 158.368 156.076 155.271 158.538 159.325 159.397 158.458 156.112 155.352 158.559
11,5 168.463 167.793 168.002 168.006 167.803 167.356 167.162 167.859 167.990 167.989 167.823 167.372 167.198 167.873
12,5 170.025 169.957 169.989 169.988 169.957 169.891 169.869 169.969 169.987 169.983 169.958 169.894 169.872 169.971
13,5 170.200 170.194 170.197 170.197 170.194 170.187 170.186 170.195 170.197 170.197 170.193 170.187 170.185 170.196
14,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
15,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
16,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
17,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
18,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
19,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
20,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
21,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
22,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
23,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
24,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
25,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
26,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
27,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
28,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
29,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Descrição:
A curva de potência do parque é semelhante a uma curva de potência de Aerogerador, significando que quando uma dada velocidade de vento aparece em frente ao parque com a
mesma velocidade em toda a área do parque (antes da influência do parque), o resultado do parque pode ser encontrada na curva de potência do parque. Outra forma de se dizer
isto: A curva de potência do parque inclui perdas de conjunto, mas NÃO inclui variações do terreno na velocidade do vento pela área do parque.
A medição de uma curva de potência do parque não é tão simples como a medição de uma curva de potência de Aerogerador devido ao fato de que a curva de potência do parque
depende da direção do vento e de que a mesma velocidade do vento normamente não aparecerá para toda a área do parque ao mesmo tempo (apenas em terrenos não complexos
extremamente lisos). A idéia com esta versão de curva de potência do parque não é utilizá-la para validações baseadas em medições. Isto exigiria pelo menos 2 torres de medição
em dois lados do parque, caso contrário apenas poucos setores de direção poderiam ser testados, E terrenos não complexos (normalmente apenas utilizável em alto mar). Outra
versão de curva de potência do parque está disponível no WindPRO.
A curva de potência do parque pode ser utilizada para:
1. Sistemas de previsão, baseados em dados do vento mais brutos (aproximados), a curva de potência do parque seria uma maneira eficiente de fazer a conexão da
velocidade do vento (e direção) para a potência.
2. Construção de curvas de duração, contando quantas vezes uma determinada potência irá aparecer, a curva de potência do parque pode ser utilizada em conjunto com a
distribuição média do vento para a área do complexo Eólico na altura do cubo. A distribuição média do vento pode ser eventualmente obtida com base nos parâmetros de
Weibull para cada posição do Aerogerador. Estes são encontrados no menu de impressão: > Result to file< no > Park resultResult to file< dados de >Wind Speeds Inside Wind farm< também estão disponíveis. Estes podem (por exemplo, através do Excel) ser utilizados para extrair as
reduções causadas pela esteira na velocidade do vento medida.

Projeto:
BSO+URA
PARK - Map
Cálculo: BSO II
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:31 / 5
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:30/2.8.572
0 2,5 5 7,5 10 km
Mapa: Topographic , Escala de impressão 1:125.000, Centro do mapa UTM WGS84 S Zone: 22 Leste: 614.972 Norte: 6.898.846
Novo Aerogerador Aerogerador existente

Projeto:
BSO+URA
Loss&Uncertainty - Park result
Cálculo: BSO II
Main data for PARK
PARK calculation 2.8.572: BSO II
Count 13
Rated power 29,9 MW
Mean wind speed 6,5 m/s at hub height
Sensitivity 1,7 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
RESULTS
P50 P84 P90
NET AEP [GWh/y] 79,8 69,3 66,3
Capacity factor [%] 30,5 26,5 25,3
Full load hours [h/y] 2.668 2.317 2.216
Result details
P50 Uncertainty
GROSS AEP *) 96,6 GWh/y 12,9 %
Bias correction 0,0 GWh/y 0,0 % 0,0 %
Loss correction -16,8 GWh/y -17,4 % 2,8 %
Wake loss -10,9 %
Other losses -7,3 %
NET AEP 79,8 GWh/y 13,2 %
*) Calculated Annual Energy Production before any bias or loss corrections
Assumptions: Uncertainty and percentiles (PXX values) are calculated for the expected lifetime
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
Scale: 50.000

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO II
ASSUMPTIONS
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
LOSS
Method *) Loss Loss Std dev**) Comment
[%] [GWh/y] [%]
1. Efeitos esteira
Efeitos esteira, todos Aerogeradores Calculation 10,9 10,6 20,0
2. Disponibilidade
Disponibilidade da turbina Estimate 3,0 2,9 50,0
Disponibilidade da rede Estimate 0,5 0,5 20,0
3. Desempenho da turbina No input
4. Elétrica
Perdas elétricas Estimate 2,0 1,9 20,0 Calculado pela VILCO
5. Ambiental
Degradação de desempenho não devido à formação de gelo Estimate 1,0 1,0 50,0
Desligamento devido à formação de gelo, granizo, relâmpago, etc. Estimate 1,0 1,0 50,0
Alta e baixa temperatura Calculation 0,0 0,0 0,0
6. Corte No input
7. Outras No input
LOSS, total 17,4 16,8 2,8
UNCERTAINTY
Method *) Std dev, Std dev, Comment
wind speed AEP
[%] [%]
A. Dados de vento
Medição de vento/Dados de vento Estimate 5,0 8,4
Correção de longo termo Estimate 7,0
Variação de ano para ano Estimate 3,7 6,2
Clima futuro
Outra relacionada ao vento
Estimate 5,0
B. Modelo de vento
Extrapolação vertical Calculation 0,6 1,0
Extrapolação horizontal
Outra relacionada ao modelo de vento
C. Conversão de potência
Calculation 2,3 3,9
Incerteza na curva de potência
Medição de incertezas
Outras incertezas relacionadas à PAE
Calculation 2,0
D. BIAS, total uncertainty 0,0
E. Perdas, total uncertainty 2,8
UNCERTAINTY, total (1y average) 14,5
UNCERTAINTY, total (20y average) 13,2
VARIABILITY
Years Variability Total
(std dev) std dev
[%] [%]
1 6,24 14,5
5 2,79 13,4
10 1,97 13,3
20 1,39 13,2

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO II
RESULTS
AEP versus exceedance level / time horizon
PXX 1 y 5 y 10 y 20 y
[%] [MWh/y] [MWh/y] [MWh/y] [MWh/y]
50 79.772 79.772 79.772 79.772
75 71.947 72.546 72.625 72.664
84 68.236 69.119 69.234 69.292
90 64.905 66.043 66.192 66.267
95 60.691 62.151 62.342 62.439
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
*) Calculation means that a calculation method available in the WindPRO software is used. This still typically involve a user judgement and user data where the quality of those decides the accuracy. If
calculation method is used, the values will often be different from turbine to turbine, here the average is shown, but at page "WTG results" the individual turbine results are shown.
**) For totals the std dev refers to the full AEP, otherwise std dev refers to the bias or loss component which is a fraction of the total AEP.

Projeto:
BSO+URA
Loss&Uncertainty - WTG results
Cálculo: BSO II
Main data for PARK
PARK calculation 2.8.572: BSO II
Count 13
Rated power 29,9 MW
Mean wind speed 6,5 m/s at hub height
Sensitivity 1,7 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:05 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:05/2.8.576
Scale: 50.000
Expected AEP per WTG including bias, loss and uncertainty evaluation
20 years averaging
Description Calculated GROSS*) Bias Loss Unc. P50 P84 P90
[MWh/y] [%] [%] [%] [MWh/y] [MWh/y] [MWh/y]
1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1099) 7.854,3 0,0 13,1 13,7 6.823,0 5.893,8 5.625,5
2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1100) 7.769,0 0,0 14,8 13,5 6.616,3 5.730,3 5.474,5
3 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1101) 7.842,2 0,0 17,8 13,1 6.442,7 5.603,0 5.360,6
4 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1102) 7.529,1 0,0 18,4 12,5 6.145,5 5.380,7 5.159,9
5 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1103) 7.405,0 0,0 17,9 13,2 6.079,5 5.280,1 5.049,3
6 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1104) 7.479,3 0,0 18,9 12,6 6.067,5 5.304,3 5.083,9
7 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1105) 7.484,2 0,0 19,4 14,0 6.031,7 5.190,7 4.947,9
8 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1106) 7.499,1 0,0 17,0 12,7 6.227,6 5.443,2 5.216,7
9 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1107) 7.083,9 0,0 17,9 14,2 5.812,9 4.991,1 4.753,8
10 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1108) 7.047,6 0,0 14,9 15,0 5.999,9 5.102,7 4.843,6
11 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1109) 7.212,3 0,0 16,7 12,8 6.008,2 5.244,1 5.023,5
12 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1110) 7.199,5 0,0 19,2 12,7 5.813,8 5.077,0 4.864,2
13 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1111) 7.205,2 0,0 20,8 14,3 5.703,3 4.890,0 4.655,2
PARK 96.610,6 0,0 17,4 13,2 79.771,9 69.292,4 66.267,0

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO III
Modelo de Esteira N.O. Jensen (RISØ/EMD)
Configurações de Cálculo
Modo de cálculo da densidade do ar Individual por aerogerador
Resultado do aerogerador na altitude do cubo 1,030 kg/m³ para 1,059 kg/m³
Densidade do ar em relação ao padrão 84,1 % para 86,5 %
Altitude do cubo acima do nível do mar (asl) 1.301,5 m para 1.586,4 m
Temperatura média anual na altitude do cubo 12,2 °C para 14,0 °C
Pressão nos Aerogeradores 843,8 hPa para 873,0 hPa
Parâmetros do Modelo de Esteira
Do ângulo Para o ângulo Tipo de terreno Constante de Decaimento de Esteira
[°] [°]
-180,0 180,0 Open farmland 0,075
Configurações de cálculo de esteira
Ângulo [°] Velocidade do vento [m/s]
início fim passo início fim passo
0,5 360,0 1,0 0,5 30,5 1,0
Versão do WAsP WAsP 6-9 RVEA0011.dll 1, 0, 0, 13
Parâmetros do WAsP Parâmetros WASP fora do padrão - informações detalhadas
no final de Resultados principais
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:39/2.8.572
Escala 1:160.000
Novo Aerogerador Dados do terreno
Resultados chave para altura de 100,0 m acima do nível do terreno
Terreno UTM WGS84 S Zona: 22
Leste Norte Nome da distribuição de Tipo Energia eólica Velocidade Rugosidade
vento média do equivalente
vento
[kWh/m²] [m/s]
A 614.109 6.900.652 For WAsP - URA N WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.853 6,7 2,1
B 618.993 6.893.678 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.418 6,5 1,2
C 615.567 6.896.612 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.091 6,2 1,7
Energia Anual Calculada para Complexo Eólico
Resultados específicos¤)
Arranjo de Aerogeradores Resultado BRUTO (sem perda) Eficiência Fator de Resultado médio Horas de carga Velocidade média do vento
PARK Aerogeradores livres do parque capacidade por Aerogerador plena @altura do cubo
[MWh/ano] [MWh/ano] [%] [%] [MWh/ano] [Horas/ano] [m/s]
Complexo eólico 85.623,3 92.712,4 92,4 32,7 6.586,4 2.864 6,4
¤) Baseado em resultados reduzidos por efeito esteira, porém nenhuma outra perda incluída
Energia Anual Calculada para cada um de 13 novos Aerogeradores com potência nominal total de 29,9 MW
Tipo de Aerogerador Curva de potência Energia Anual Parque
Terreno Válido Fabric. Tipo de gerador Potência, Diâmetro do Altura Criador Nome Resultado Eficiência Fator de Velocidade
nominal rotor do capacidade média do
cubo vento
[kW] [m] [m] [MWh] [%] [%] [m/s]
1 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.743,1 93,50 33,4 6,40
2 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.559,3 92,74 32,5 6,33
3 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.693,8 92,75 33,2 6,40
4 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.337,4 88,53 31,4 6,34
5 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.635,0 94,03 32,9 6,32
6 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.633,4 91,08 32,9 6,43
7 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.193,8 91,98 30,7 6,12
8 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.430,7 95,05 31,9 6,18
9 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.267,0 94,79 31,1 6,08
10 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.075,5 90,30 30,1 6,13
11 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.371,2 94,66 36,6 6,67
12 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 7.011,6 91,56 34,8 6,66
13 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.671,7 89,81 33,1 6,50
Resultados Anuais de Energia não incluem nenhuma perda além das perdas por efeito esteira. Para PAE líquida esperada (produção esperada
garantida), verificar relatório de Perdas & Incertezas.
*) Nas perdas por conjunto está incluída influência de 61 Aerogerador(es) na vizinhança, que recebe(m) o status de Aerogeradores de Referência, veja relatório a parte para identificá-los.

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO III
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:39/2.8.572
Localização do Aerogerador
UTM WGS84 S Zona: 22
Leste Norte Z Dados de linha/Descrição
[m]
1 Novo 620.656 6.894.812 1.445,8 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1114)
2 Novo 619.381 6.895.662 1.418,2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1115)
3 Novo 618.856 6.895.862 1.415,2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1116)
4 Novo 620.556 6.893.362 1.400,6 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1117)
5 Novo 619.868 6.895.493 1.425,9 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1118)
6 Novo 619.406 6.894.512 1.426,9 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1119)
7 Novo 621.306 6.893.162 1.369,2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1122)
8 Novo 620.406 6.895.312 1.424,8 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1123)
9 Novo 621.406 6.894.062 1.406,4 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1124)
10 Novo 620.531 6.893.937 1.404,0 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1125)
11 Novo 617.456 6.895.312 1.381,7 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1153)
12 Novo 618.056 6.895.062 1.399,7 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1154)
13 Novo 617.709 6.894.923 1.387,5 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1155)
Parâmetros WAsP fora do padrão
Parâmetro do WAsP Mínimo Máximo Padrão Valor atual
Standard height #3 [m] 5,0000 200,0000 50,0000 60,0000
Standard height #4 [m] 5,0000 200,0000 100,0000 80,0000
Standard height #5 [m] 5,0000 200,0000 200,0000 100,0000
Offset heat flux over land -200,0000 200,0000 -40,0000 -20,0000

Projeto:
BSO+URA
PARK - Análise da produção
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:39/2.8.572
Cálculo: BSO IIIAerogerador: Todos os novos Aerogeradores, Densidade do ar varia com a posição dos aerogeradores 1,030 kg/m³ - 1,059 kg/m³
Análise Direcional
Setor 0 N 1 NNE 2 ENE 3 L 4 ESE 5 SSE 6 S 7 SSO 8 OSO 9 O 10 ONO 11 NNO Total
Energia baseada em rugosidade [MWh] 28.881,7 11.061,7 3.890,4 1.959,8 1.705,8 606,1 620,9 2.314,7 7.631,6 5.964,5 4.700,6 7.725,4 77.063,3
+Aumento devido às colinas [MWh] 5.069,2 2.165,1 901,8 447,9 429,4 265,4 316,3 912,2 1.489,4 893,9 769,8 1.988,6 15.649,1
-Decréscimo devido às perdas de conjunto [MWh] 1.186,5 266,2 366,7 219,5 316,0 147,1 172,0 463,4 1.347,6 917,8 711,3 975,1 7.089,1
Energia resultante [MWh] 32.764,4 12.960,6 4.425,4 2.188,2 1.819,2 724,5 765,1 2.763,6 7.773,5 5.940,6 4.759,2 8.739,0 85.623,4
Energia específica [kWh/m²] 657
Energia específica [kWh/kW] 2.864
Aumento devido às colinas [%] 17,6 19,6 23,2 22,9 25,2 43,8 50,9 39,4 19,5 15,0 16,4 25,7 20,31
Decréscimo devido às perdas de conjunto [%] 3,5 2,0 7,7 9,1 14,8 16,9 18,4 14,4 14,8 13,4 13,0 10,0 7,65
Utilização [%] 25,0 28,7 39,1 41,2 37,3 37,7 37,0 37,6 32,6 31,9 28,0 30,9 28,8
Operacional [Horas/ano] 1.992 961 543 382 354 226 237 448 890 642 521 874 8.070
Equivalente à carga plena [Horas/ano] 1.096 433 148 73 61 24 26 92 260 199 159 292 2.864

Projeto:
BSO+URA
PARK - Curva de potência do parque
Cálculo: BSO III
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:39/2.8.572
Potência
Velocidade do Aerogeradores Aerogeradores do N NNE ENE L ESE SSE S SSO OSO O ONO NNO
vento livres parque
[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]
0,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,5 1.785 1.576 1.606 1.605 1.590 1.507 1.494 1.572 1.606 1.608 1.591 1.505 1.494 1.571
3,5 7.306 6.165 6.291 6.297 6.241 5.865 5.783 6.112 6.286 6.307 6.257 5.855 5.793 6.113
4,5 16.109 13.751 14.006 14.026 13.916 13.126 12.960 13.650 14.003 14.057 13.955 13.110 12.963 13.641
5,5 30.143 25.963 26.436 26.484 26.242 24.789 24.504 25.798 26.442 26.554 26.303 24.764 24.511 25.789
6,5 50.320 43.583 44.369 44.467 44.009 41.642 41.160 43.341 44.401 44.590 44.104 41.581 41.167 43.307
7,5 77.670 67.691 68.923 69.058 68.279 64.728 63.962 67.391 68.976 69.225 68.409 64.639 63.977 67.292
8,5 112.142 99.377 101.198 101.294 100.005 95.291 94.194 99.078 101.169 101.437 100.120 95.121 94.209 99.014
9,5 146.151 134.487 136.486 136.626 134.845 130.152 128.859 134.362 136.467 136.710 134.990 130.047 128.930 134.350
10,5 162.578 158.309 159.348 159.410 158.368 156.076 155.271 158.538 159.325 159.397 158.458 156.112 155.352 158.559
11,5 168.463 167.793 168.002 168.006 167.803 167.356 167.162 167.859 167.990 167.989 167.823 167.372 167.198 167.874
12,5 170.025 169.957 169.989 169.988 169.957 169.891 169.869 169.969 169.987 169.983 169.958 169.894 169.872 169.971
13,5 170.200 170.194 170.197 170.197 170.194 170.187 170.186 170.195 170.197 170.197 170.193 170.187 170.185 170.196
14,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
15,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
16,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
17,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
18,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
19,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
20,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
21,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
22,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
23,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
24,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
25,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
26,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
27,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
28,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
29,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Descrição:
A curva de potência do parque é semelhante a uma curva de potência de Aerogerador, significando que quando uma dada velocidade de vento aparece em frente ao parque com a
mesma velocidade em toda a área do parque (antes da influência do parque), o resultado do parque pode ser encontrada na curva de potência do parque. Outra forma de se dizer
isto: A curva de potência do parque inclui perdas de conjunto, mas NÃO inclui variações do terreno na velocidade do vento pela área do parque.
A medição de uma curva de potência do parque não é tão simples como a medição de uma curva de potência de Aerogerador devido ao fato de que a curva de potência do parque
depende da direção do vento e de que a mesma velocidade do vento normamente não aparecerá para toda a área do parque ao mesmo tempo (apenas em terrenos não complexos
extremamente lisos). A idéia com esta versão de curva de potência do parque não é utilizá-la para validações baseadas em medições. Isto exigiria pelo menos 2 torres de medição
em dois lados do parque, caso contrário apenas poucos setores de direção poderiam ser testados, E terrenos não complexos (normalmente apenas utilizável em alto mar). Outra
versão de curva de potência do parque está disponível no WindPRO.
A curva de potência do parque pode ser utilizada para:
1. Sistemas de previsão, baseados em dados do vento mais brutos (aproximados), a curva de potência do parque seria uma maneira eficiente de fazer a conexão da
velocidade do vento (e direção) para a potência.
2. Construção de curvas de duração, contando quantas vezes uma determinada potência irá aparecer, a curva de potência do parque pode ser utilizada em conjunto com a
distribuição média do vento para a área do complexo Eólico na altura do cubo. A distribuição média do vento pode ser eventualmente obtida com base nos parâmetros de
Weibull para cada posição do Aerogerador. Estes são encontrados no menu de impressão: > Result to file< no > Park resultResult to file< dados de >Wind Speeds Inside Wind farm< também estão disponíveis. Estes podem (por exemplo, através do Excel) ser utilizados para extrair as
reduções causadas pela esteira na velocidade do vento medida.

Projeto:
BSO+URA
PARK - Map
Cálculo: BSO III
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 5
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:39/2.8.572
0 2,5 5 7,5 10 km
Mapa: Topographic , Escala de impressão 1:125.000, Centro do mapa UTM WGS84 S Zone: 22 Leste: 614.972 Norte: 6.898.846
Novo Aerogerador Aerogerador existente

Projeto:
BSO+URA
Loss&Uncertainty - Park result
Cálculo: BSO III
Main data for PARK
PARK calculation 2.8.572: BSO III
Count 13
Rated power 29,9 MW
Mean wind speed 6,4 m/s at hub height
Sensitivity 1,7 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
RESULTS
P50 P84 P90
NET AEP [GWh/y] 79,4 68,6 65,5
Capacity factor [%] 30,3 26,2 25,0
Full load hours [h/y] 2.655 2.295 2.191
Result details
P50 Uncertainty
GROSS AEP *) 92,7 GWh/y 13,4 %
Bias correction 0,0 GWh/y 0,0 % 0,0 %
Loss correction -13,3 GWh/y -14,4 % 2,3 %
Wake loss -7,6 %
Other losses -7,3 %
NET AEP 79,4 GWh/y 13,6 %
*) Calculated Annual Energy Production before any bias or loss corrections
Assumptions: Uncertainty and percentiles (PXX values) are calculated for the expected lifetime
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
Scale: 50.000

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO III
ASSUMPTIONS
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
LOSS
Method *) Loss Loss Std dev**) Comment
[%] [GWh/y] [%]
1. Efeitos esteira
Efeitos esteira, todos Aerogeradores Calculation 7,6 7,1 20,0
2. Disponibilidade
Disponibilidade da turbina Estimate 3,0 2,8 50,0
Disponibilidade da rede Estimate 0,5 0,5 20,0
3. Desempenho da turbina No input
4. Elétrica
Perdas elétricas Estimate 2,0 1,9 20,0 Calculado pela VILCO
5. Ambiental
Degradação de desempenho não devido à formação de gelo Estimate 1,0 0,9 50,0
Desligamento devido à formação de gelo, granizo, relâmpago, etc. Estimate 1,0 0,9 50,0
Alta e baixa temperatura Calculation 0,0 0,0 0,0
6. Corte No input
7. Outras No input
LOSS, total 14,4 13,3 2,3
UNCERTAINTY
Method *) Std dev, Std dev, Comment
wind speed AEP
[%] [%]
A. Dados de vento
Medição de vento/Dados de vento Estimate 5,0 8,7
Correção de longo termo Estimate 7,0
Variação de ano para ano Estimate 3,7 6,4
Clima futuro
Outra relacionada ao vento
Estimate 5,0
B. Modelo de vento
Extrapolação vertical Calculation 0,2 0,4
Extrapolação horizontal
Outra relacionada ao modelo de vento
C. Conversão de potência
Calculation 2,9 5,0
Incerteza na curva de potência
Medição de incertezas
Outras incertezas relacionadas à PAE
Calculation 2,0
D. BIAS, total uncertainty 0,0
E. Perdas, total uncertainty 2,3
UNCERTAINTY, total (1y average) 15,0
UNCERTAINTY, total (20y average) 13,6
VARIABILITY
Years Variability Total
(std dev) std dev
[%] [%]
1 6,41 15,0
5 2,87 13,9
10 2,03 13,7
20 1,43 13,6

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO III
RESULTS
AEP versus exceedance level / time horizon
PXX 1 y 5 y 10 y 20 y
[%] [MWh/y] [MWh/y] [MWh/y] [MWh/y]
50 79.374 79.374 79.374 79.374
75 71.349 71.959 72.039 72.080
84 67.542 68.442 68.560 68.619
90 64.126 65.286 65.438 65.514
95 59.803 61.292 61.487 61.585
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
*) Calculation means that a calculation method available in the WindPRO software is used. This still typically involve a user judgement and user data where the quality of those decides the accuracy. If
calculation method is used, the values will often be different from turbine to turbine, here the average is shown, but at page "WTG results" the individual turbine results are shown.
**) For totals the std dev refers to the full AEP, otherwise std dev refers to the bias or loss component which is a fraction of the total AEP.

Projeto:
BSO+URA
Loss&Uncertainty - WTG results
Cálculo: BSO III
Main data for PARK
PARK calculation 2.8.572: BSO III
Count 13
Rated power 29,9 MW
Mean wind speed 6,4 m/s at hub height
Sensitivity 1,7 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
Scale: 50.000
Expected AEP per WTG including bias, loss and uncertainty evaluation
20 years averaging
Description Calculated GROSS*) Bias Loss Unc. P50 P84 P90
[MWh/y] [%] [%] [%] [MWh/y] [MWh/y] [MWh/y]
1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1114) 7.211,7 0,0 13,3 13,7 6.251,0 5.400,2 5.154,5
2 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1115) 7.072,5 0,0 14,0 13,6 6.080,6 5.256,5 5.018,6
3 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1116) 7.217,4 0,0 14,0 13,8 6.205,3 5.354,8 5.109,2
4 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1117) 7.158,2 0,0 17,9 13,6 5.874,9 5.080,6 4.851,3
5 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1118) 7.056,5 0,0 12,8 13,7 6.150,7 5.315,6 5.074,5
6 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1119) 7.282,7 0,0 15,6 12,9 6.149,3 5.361,2 5.133,7
7 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1122) 6.734,1 0,0 14,7 14,6 5.741,8 4.906,5 4.665,4
8 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1123) 6.765,7 0,0 11,9 14,0 5.961,4 5.133,9 4.895,0
9 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1124) 6.611,3 0,0 12,1 14,7 5.809,6 4.958,1 4.712,2
10 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1125) 6.728,3 0,0 16,3 13,8 5.632,1 4.859,5 4.636,4
11 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1153) 7.787,3 0,0 12,3 13,4 6.833,2 5.922,9 5.660,1
12 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1154) 7.658,3 0,0 15,1 12,7 6.499,8 5.676,1 5.438,3
13 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1155) 7.428,4 0,0 16,7 13,3 6.184,8 5.367,4 5.131,5
PARK 92.712,4 0,0 14,4 13,6 79.374,5 68.619,1 65.514,0

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO IV
Modelo de Esteira N.O. Jensen (RISØ/EMD)
Configurações de Cálculo
Modo de cálculo da densidade do ar Individual por aerogerador
Resultado do aerogerador na altitude do cubo 1,030 kg/m³ para 1,059 kg/m³
Densidade do ar em relação ao padrão 84,1 % para 86,5 %
Altitude do cubo acima do nível do mar (asl) 1.301,5 m para 1.586,4 m
Temperatura média anual na altitude do cubo 12,2 °C para 14,0 °C
Pressão nos Aerogeradores 843,8 hPa para 873,0 hPa
Parâmetros do Modelo de Esteira
Do ângulo Para o ângulo Tipo de terreno Constante de Decaimento de Esteira
[°] [°]
-180,0 180,0 Open farmland 0,075
Configurações de cálculo de esteira
Ângulo [°] Velocidade do vento [m/s]
início fim passo início fim passo
0,5 360,0 1,0 0,5 30,5 1,0
Versão do WAsP WAsP 6-9 RVEA0011.dll 1, 0, 0, 13
Parâmetros do WAsP Parâmetros WASP fora do padrão - informações detalhadas
no final de Resultados principais
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:45/2.8.572
Escala 1:150.000
Novo Aerogerador Dados do terreno
Resultados chave para altura de 100,0 m acima do nível do terreno
Terreno UTM WGS84 S Zona: 22
Leste Norte Nome da distribuição de Tipo Energia eólica Velocidade Rugosidade
vento média do equivalente
vento
[kWh/m²] [m/s]
A 614.109 6.900.652 For WAsP - URA N WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.853 6,7 2,1
B 618.993 6.893.678 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.418 6,5 1,2
C 615.567 6.896.612 For WAsP - URA S+BSO WAsP (WAsP 6-9 RVEA0011.dll 1, 0, 0, 13) 2.091 6,2 1,7
Energia Anual Calculada para Complexo Eólico
Resultados específicos¤)
Arranjo de Aerogeradores Resultado BRUTO (sem perda) Eficiência Fator de Resultado médio Horas de carga Velocidade média do vento
PARK Aerogeradores livres do parque capacidade por Aerogerador plena @altura do cubo
[MWh/ano] [MWh/ano] [%] [%] [MWh/ano] [Horas/ano] [m/s]
Complexo eólico 6.717,1 7.074,7 94,9 33,3 6.717,1 2.920 6,3
¤) Baseado em resultados reduzidos por efeito esteira, porém nenhuma outra perda incluída
Energia Anual Calculada para cada um de 1 novos Aerogeradores com potência nominal total de 2,3 MW
Tipo de Aerogerador Curva de potência Energia Anual Parque
Terreno Válido Fabric. Tipo de gerador Potência, Diâmetro do Altura Criador Nome Resultado Eficiência Fator de Velocidade
nominal rotor do capacidade média do
cubo vento
[kW] [m] [m] [MWh] [%] [%] [m/s]
1 B Sim Siemens SWT-2.3-113-2.300 2.300 113,0 99,5 EMD Level 0 - - Standard setting 0dB - 6.717,1 94,95 33,3 6,30
Resultados Anuais de Energia não incluem nenhuma perda além das perdas por efeito esteira. Para PAE líquida esperada (produção esperada
garantida), verificar relatório de Perdas & Incertezas.
Localização do Aerogerador
UTM WGS84 S Zona: 22
Leste Norte Z Dados de linha/Descrição
[m]
1 Novo 619.156 6.896.187 1.411,1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1120)
*) Nas perdas por conjunto está incluída influência de 73 Aerogerador(es) na vizinhança, que recebe(m) o status de Aerogeradores de Referência, veja relatório a parte para identificá-los.

Projeto:
BSO+URA
PARK - Resultado Principal
Cálculo: BSO IV
Parâmetros WAsP fora do padrão
Parâmetro do WAsP Mínimo Máximo Padrão Valor atual
Standard height #3 [m] 5,0000 200,0000 50,0000 60,0000
Standard height #4 [m] 5,0000 200,0000 100,0000 80,0000
Standard height #5 [m] 5,0000 200,0000 200,0000 100,0000
Offset heat flux over land -200,0000 200,0000 -40,0000 -20,0000
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:45/2.8.572

Projeto:
BSO+URA
PARK - Análise da produção
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:45/2.8.572
Cálculo: BSO IVAerogerador: Todos os novos Aerogeradores, Densidade do ar varia com a posição dos aerogeradores 1,030 kg/m³ - 1,059 kg/m³
Análise Direcional
Setor 0 N 1 NNE 2 ENE 3 L 4 ESE 5 SSE 6 S 7 SSO 8 OSO 9 O 10 ONO 11 NNO Total
Energia baseada em rugosidade [MWh] 2.124,0 832,1 318,0 158,4 140,6 43,8 43,2 159,3 603,8 496,1 379,7 580,1 5.879,1
+Aumento devido às colinas [MWh] 241,6 130,3 112,6 70,6 48,3 13,7 10,4 39,3 151,4 141,5 91,0 144,9 1.195,6
-Decréscimo devido às perdas de conjunto [MWh] 1,8 0,0 0,0 0,0 25,2 22,8 11,2 67,0 154,7 39,3 11,8 23,8 357,6
Energia resultante [MWh] 2.363,8 962,4 430,6 229,0 163,7 34,7 42,5 131,6 600,5 598,3 458,9 701,2 6.717,1
Energia específica [kWh/m²] 670
Energia específica [kWh/kW] 2.920
Aumento devido às colinas [%] 11,4 15,7 35,4 44,6 34,4 31,2 24,1 24,6 25,1 28,5 24,0 25,0 20,34
Decréscimo devido às perdas de conjunto [%] 0,1 0,0 0,0 0,0 13,3 39,6 20,8 33,7 20,5 6,2 2,5 3,3 5,05
Utilização [%] 28,1 30,2 41,1 45,0 37,3 27,5 36,0 29,9 29,8 32,9 30,5 34,1 31,0
Operacional [Horas/ano] 1.910 931 586 421 367 212 213 405 915 708 558 875 8.102
Equivalente à carga plena [Horas/ano] 1.028 418 187 100 71 15 18 57 261 260 200 305 2.920

Projeto:
BSO+URA
PARK - Curva de potência do parque
Cálculo: BSO IV
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:45/2.8.572
Potência
Velocidade do Aerogeradores Aerogeradores do N NNE ENE L ESE SSE S SSO OSO O ONO NNO
vento livres parque
[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]
0,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2,5 1.785 1.576 1.606 1.605 1.590 1.507 1.494 1.572 1.606 1.608 1.591 1.505 1.494 1.571
3,5 7.306 6.165 6.291 6.297 6.241 5.865 5.783 6.112 6.286 6.307 6.257 5.855 5.793 6.113
4,5 16.109 13.751 14.006 14.026 13.916 13.126 12.960 13.650 14.003 14.057 13.955 13.110 12.963 13.641
5,5 30.143 25.963 26.436 26.484 26.242 24.789 24.504 25.798 26.442 26.554 26.303 24.764 24.511 25.789
6,5 50.320 43.583 44.369 44.467 44.009 41.642 41.160 43.341 44.401 44.590 44.104 41.581 41.167 43.307
7,5 77.670 67.691 68.923 69.058 68.279 64.728 63.962 67.391 68.976 69.225 68.409 64.639 63.977 67.292
8,5 112.142 99.377 101.198 101.294 100.005 95.291 94.194 99.078 101.169 101.437 100.120 95.121 94.209 99.014
9,5 146.151 134.487 136.486 136.626 134.845 130.152 128.859 134.362 136.467 136.710 134.990 130.047 128.930 134.350
10,5 162.578 158.309 159.348 159.410 158.368 156.076 155.271 158.538 159.325 159.397 158.458 156.112 155.352 158.559
11,5 168.463 167.793 168.002 168.006 167.803 167.356 167.162 167.859 167.990 167.989 167.823 167.372 167.198 167.873
12,5 170.025 169.957 169.989 169.988 169.957 169.891 169.869 169.969 169.987 169.983 169.958 169.894 169.872 169.971
13,5 170.200 170.194 170.197 170.197 170.194 170.187 170.186 170.195 170.197 170.197 170.193 170.187 170.185 170.196
14,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
15,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
16,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
17,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
18,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
19,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
20,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
21,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
22,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
23,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
24,5 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200 170.200
25,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
26,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
27,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
28,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
29,5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Descrição:
A curva de potência do parque é semelhante a uma curva de potência de Aerogerador, significando que quando uma dada velocidade de vento aparece em frente ao parque com a
mesma velocidade em toda a área do parque (antes da influência do parque), o resultado do parque pode ser encontrada na curva de potência do parque. Outra forma de se dizer
isto: A curva de potência do parque inclui perdas de conjunto, mas NÃO inclui variações do terreno na velocidade do vento pela área do parque.
A medição de uma curva de potência do parque não é tão simples como a medição de uma curva de potência de Aerogerador devido ao fato de que a curva de potência do parque
depende da direção do vento e de que a mesma velocidade do vento normamente não aparecerá para toda a área do parque ao mesmo tempo (apenas em terrenos não complexos
extremamente lisos). A idéia com esta versão de curva de potência do parque não é utilizá-la para validações baseadas em medições. Isto exigiria pelo menos 2 torres de medição
em dois lados do parque, caso contrário apenas poucos setores de direção poderiam ser testados, E terrenos não complexos (normalmente apenas utilizável em alto mar). Outra
versão de curva de potência do parque está disponível no WindPRO.
A curva de potência do parque pode ser utilizada para:
1. Sistemas de previsão, baseados em dados do vento mais brutos (aproximados), a curva de potência do parque seria uma maneira eficiente de fazer a conexão da
velocidade do vento (e direção) para a potência.
2. Construção de curvas de duração, contando quantas vezes uma determinada potência irá aparecer, a curva de potência do parque pode ser utilizada em conjunto com a
distribuição média do vento para a área do complexo Eólico na altura do cubo. A distribuição média do vento pode ser eventualmente obtida com base nos parâmetros de
Weibull para cada posição do Aerogerador. Estes são encontrados no menu de impressão: > Result to file< no > Park resultResult to file< dados de >Wind Speeds Inside Wind farm< também estão disponíveis. Estes podem (por exemplo, através do Excel) ser utilizados para extrair as
reduções causadas pela esteira na velocidade do vento medida.

Projeto:
BSO+URA
PARK - Map
Cálculo: BSO IV
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, Tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.572 Nov 2012
Impresso/Página
02-12-2012 10:32 / 5
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
30-11-2012 14:45/2.8.572
0 2,5 5 7,5 10 km
Mapa: Topographic , Escala de impressão 1:125.000, Centro do mapa UTM WGS84 S Zone: 22 Leste: 614.972 Norte: 6.898.846
Novo Aerogerador Aerogerador existente

Projeto:
BSO+URA
Loss&Uncertainty - Park result
Cálculo: BSO IV
Main data for PARK
PARK calculation 2.8.572: BSO IV
Count 1
Rated power 2,3 MW
Mean wind speed 6,3 m/s at hub height
Sensitivity 1,8 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
RESULTS
P50 P84 P90
NET AEP [MWh/y] 6.227 5.332 5.074
Capacity factor [%] 30,9 26,5 25,2
Full load hours [h/y] 2.707 2.318 2.206
Result details
P50 Uncertainty
GROSS AEP *) 7.075 MWh/y 14,3 %
Bias correction 0 MWh/y 0,0 % 0,0 %
Loss correction -848 MWh/y -12,0 % 2,0 %
Wake loss -5,1 %
Other losses -7,3 %
NET AEP 6.227 MWh/y 14,4 %
*) Calculated Annual Energy Production before any bias or loss corrections
Assumptions: Uncertainty and percentiles (PXX values) are calculated for the expected lifetime
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 1
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
Scale: 25.000

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO IV
ASSUMPTIONS
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 2
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
LOSS
Method *) Loss Loss Std dev**) Comment
[%] [MWh/y] [%]
1. Efeitos esteira
Efeitos esteira, todos Aerogeradores Calculation 5,1 358 20,0
2. Disponibilidade
Disponibilidade da turbina Estimate 3,0 212 50,0
Disponibilidade da rede Estimate 0,5 35 20,0
3. Desempenho da turbina No input
4. Elétrica
Perdas elétricas Estimate 2,0 141 20,0 Calculado pela VILCO
5. Ambiental
Degradação de desempenho não devido à formação de gelo Estimate 1,0 71 50,0
Desligamento devido à formação de gelo, granizo, relâmpago, etc. Estimate 1,0 71 50,0
Alta e baixa temperatura Calculation 0,0 0 0,0
6. Corte No input
7. Outras No input
LOSS, total 12,0 848 2,0
UNCERTAINTY
Method *) Std dev, Std dev, Comment
wind speed AEP
[%] [%]
A. Dados de vento
Medição de vento/Dados de vento Estimate 5,0 8,9
Correção de longo termo Estimate 7,0
Variação de ano para ano Estimate 3,7 6,6
Clima futuro
Outra relacionada ao vento
Estimate 5,0
B. Modelo de vento
Extrapolação vertical Calculation 0,1 0,3
Extrapolação horizontal
Outra relacionada ao modelo de vento
C. Conversão de potência
Calculation 3,8 6,7
Incerteza na curva de potência
Medição de incertezas
Outras incertezas relacionadas à PAE
Calculation 2,0
D. BIAS, total uncertainty 0,0
E. Perdas, total uncertainty 2,0
UNCERTAINTY, total (1y average) 15,8
UNCERTAINTY, total (20y average) 14,4
VARIABILITY
Years Variability Total
(std dev) std dev
[%] [%]
1 6,59 15,8
5 2,95 14,7
10 2,09 14,5
20 1,47 14,4

Projeto:
BSO+URA
Loss&Uncertainty - Assumptions and results
Cálculo: BSO IV
RESULTS
AEP versus exceedance level / time horizon
PXX 1 y 5 y 10 y 20 y
[%] [MWh/y] [MWh/y] [MWh/y] [MWh/y]
50 6.227 6.227 6.227 6.227
75 5.563 5.611 5.617 5.620
84 5.248 5.318 5.328 5.332
90 4.965 5.056 5.068 5.074
95 4.607 4.724 4.739 4.747
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 3
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
*) Calculation means that a calculation method available in the WindPRO software is used. This still typically involve a user judgement and user data where the quality of those decides the accuracy. If
calculation method is used, the values will often be different from turbine to turbine, here the average is shown, but at page "WTG results" the individual turbine results are shown.
**) For totals the std dev refers to the full AEP, otherwise std dev refers to the bias or loss component which is a fraction of the total AEP.

Projeto:
BSO+URA
Loss&Uncertainty - WTG results
Cálculo: BSO IV
Main data for PARK
PARK calculation 2.8.572: BSO IV
Count 1
Rated power 2,3 MW
Mean wind speed 6,3 m/s at hub height
Sensitivity 1,8 %AEP / %Mean Wind Speed
Expected lifetime 20 Years
WindPRO é desenvolvido pela EMD International A / S, Niels Jernesvej 10, DK-9220 Aalborg Ø, tel. +45 96 35 44 44, Fax +45 96 35 44 46, E-mail: windpro@emd.dk
WindPRO version 2.8.576 Dec 2012
Impresso / Página
11-12-2012 15:06 / 4
Usuário licenciado:
EMD International A/S
Niels Jernes Vej 10
DK-9220 Aalborg Ø
+45 9635 4444
Maurizio Motta / mm@emd.dk
Calculado:
11-12-2012 15:06/2.8.576
Scale: 25.000
Expected AEP per WTG including bias, loss and uncertainty evaluation
20 years averaging
Description Calculated GROSS*) Bias Loss Unc. P50 P84 P90
[MWh/y] [%] [%] [%] [MWh/y] [MWh/y] [MWh/y]
1 Siemens SWT-2.3-113 2300 113.0 !O! hub: 99,5 m (TOT: 156,0 m) (1120) 7.074,7 0,0 12,0 14,4 6.226,9 5.332,2 5.073,9
PARK 7.074,7 0,0 12,0 14,4 6.226,9 5.332,2 5.073,9

8.4 Anemometers – Calibration Certificates