21.08.2013 Views

Prva stran - WBC-INCO Net

Prva stran - WBC-INCO Net

Prva stran - WBC-INCO Net

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

array for any array orientation, using monthly values of<br />

solar radiation on a horizontal surface. The annual<br />

performance of a solar water heating system with a storage<br />

tank is dependent on system characteristics, solar radiation<br />

available, ambient air temperature and on heating load<br />

characteristics. The RETScreen SWH Project Model has<br />

been designed to help the user define the hot water needs,<br />

integrating a Water Heating Load Calculation section in the<br />

SR&HLC worksheet. To help the user characterize a SWH<br />

system before evaluating its cost and energy performance,<br />

some values are suggested for component sizing (e.g.<br />

number of collectors). Suggested or estimated values are<br />

based on input parameters and can be used as a first step in<br />

the analysis and are not necessarily the optimum values.<br />

In the final worksheet "Financial Summary", numerous<br />

financial indicators are provided to help support decisions<br />

(e.g. internal rate of return, simple pay back, net present<br />

value, etc.). The results are then presented in a simple<br />

project cash flows graph for presentation to key decisionmakers.<br />

The Financial Summary worksheet also allows the<br />

user to perform a tax analysis and a Clean Development<br />

Mechanism (CDM) type analysis for the individual project.<br />

The Sensitivity worksheet is provided to help the user<br />

estimate the sensitivity of important financial indicators in<br />

relation to key technical and financial parameters. In<br />

general, the user works from top-down for each of the<br />

worksheets. This process can be repeated several times in<br />

order to help optimize the design of the solar water heating<br />

project from an energy use and cost standpoint.<br />

RETScreen has three families of input parameters: site<br />

conditions, system characteristics, and financial parameters;<br />

while the main outputs are the annual energy balance, project<br />

costs and savings, yearly cash flows and financial feasibility.<br />

The performance of service hot water systems with<br />

storage is estimated with the f-Chart method. The purpose of<br />

the method is to calculate f, the fraction of the hot water<br />

load that is provided by the solar heating system (solar<br />

fraction). Once f is calculated, the amount of renewable<br />

energy that displaces conventional energy for water heating<br />

can be determined. The method enables the calculation of<br />

the monthly amount of energy delivered by hot water<br />

systems with storage, given monthly values of incident solar<br />

radiation, ambient temperature and load.<br />

Comparison of the RETScreen model predictions to<br />

results of hourly simulation programs and to monitored data<br />

shows that the accuracy of the RETScreen Solar Water<br />

Heating Project Model is excellent in regards to the<br />

preparation of pre-feasibility studies, particularly given the<br />

fact that RETScreen only requires 12 points of data<br />

(monthly average daily radiation on horizontal surface)<br />

versus 8,760 points of data for most hourly simulation<br />

models.<br />

B. Location<br />

In this paper, we have selected the sheepfold “Fezlievo<br />

Bacilo” as a location where a large solar water heating<br />

system will be installed. This location was identified in the<br />

RISE Project [4], following the priorities of the specific call<br />

under the FP6 dedicated to the Western Balkan countries:<br />

- A possibility to supply the locations by small low cost<br />

RES<br />

- Economic and social benefits for the local community<br />

- The access to relevant information and availability of<br />

data about the location<br />

“Fezlievo Bachilo” is located near the Albanian border<br />

on altitude of about 1950 m in the National Park<br />

Mavrovo, which is a well preserved entity of a vast<br />

ecological, economical and tourist significance.<br />

It is populated only during the wormer part of the year,<br />

from May till October, when the sheep are brought to the<br />

lower parts to spend the summer. There are about 3000<br />

sheep at the site and 10 employees. This remote location is<br />

with no electricity supply, and it is even without the diesel<br />

generator which was used before the crisis of 2001.<br />

There are two smaller objects there. The first one is used<br />

for the employees (staff room); while in the other one the<br />

cheese production equipment is placed. They have need for<br />

electricity as well as hot water of at least 2000 littres daily<br />

(60˚C) for cheese production and hygienic purposes.<br />

The site has quite good potential for RES exploitation,<br />

being situated in a small valley, exposed to the sun and<br />

protected from winds.<br />

So far no systematic measurements of the solar radiation<br />

have been conducted on the location. However, applying<br />

some well-known interpolation methods (METEONORM<br />

software [5]), the underlying parameters can be calculated,<br />

and conclusions on the solar energy potential can be<br />

derived. The METEONORM software, calculates the hourly<br />

values for the whole year for all solar radiation and<br />

meteorological data. From the METEONORM output, for<br />

each month, the hourly values of the global solar radiation<br />

are calculated as an average over the set of hourly values<br />

from all days from the given month. The same procedure<br />

was applied on the set of hourly data for the air temperature,<br />

relative humidity and wind speed, so that the corresponding<br />

monthly average values have been obtained. These data,<br />

presented in Table I, are the essential input for the<br />

simulating software tools employed when sizing and<br />

determining the performances of the solar system in the<br />

given conditions.<br />

TABLE I.<br />

INPUT DATA FOR THE MODEL OF SWH SYSTEM FOR THE LOCATION<br />

“FEZLIEVO BACHILO”<br />

(M.A.D- MONTHLY AVERAGE DAILY)<br />

M.A.D.rad. on M.A. M.A.relative<br />

Fraction horizontal surface tem. humidity M.A.Wind<br />

Month (0-1) (kWh/m²/d) (°C) (%) (m/s)<br />

Jan. 0.00 1.99 -2.1 79.0 3.8<br />

Feb. 0.00 2.70 -1.3 78.0 3.7<br />

Mar. 0.00 3.54 1.3 74.0 3.9<br />

Apr. 0.00 4.49 5.8 71.0 3.8<br />

May 0.25 5.13 10.5 71.0 3.4<br />

Jun. 1.00 5.22 13.7 71.0 3.3<br />

July 1.00 5.93 16.2 67.0 3.3<br />

Aug. 1.00 5.46 16.2 69.0 3.1<br />

Sep. 0.25 3.93 12.9 73.0 3.3<br />

Oct. 0.00 2.94 8.2 75.0 3.4<br />

Nov. 0.00 1.94 4.0 77.0 3.7<br />

Dec. 0.00 1.45 0.0 80.0 3.7<br />

The calculated value for the annual solar radiation amounts<br />

to 1,368 kWh/m 2 . This value is approximately the same as<br />

the county‘s average leading to the conclusion of<br />

2

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!