1 Introduction to Economizer tx2 - Siemens Building Technologies
1 Introduction to Economizer tx2 - Siemens Building Technologies
1 Introduction to Economizer tx2 - Siemens Building Technologies
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DESIGO -<br />
Energy-efficient applications:<br />
h,x-controlled <strong>Economizer</strong> <strong>tx2</strong><br />
Application data sheet<br />
Answers for infrastructure. s
Table of contents<br />
1 <strong>Introduction</strong> <strong>to</strong> <strong>Economizer</strong> <strong>tx2</strong>.............................................................5<br />
2 Basics.......................................................................................................6<br />
3 <strong>Economizer</strong> <strong>tx2</strong>........................................................................................6<br />
3.1 Overview ...................................................................................................6<br />
3.2 Principles of the <strong>tx2</strong> <strong>Economizer</strong> strategy.................................................7<br />
3.3 The principle functions ..............................................................................8<br />
3.3.1 Comfort area .............................................................................................8<br />
3.3.2 <strong>tx2</strong> control..................................................................................................9<br />
3.3.3 ERC strategy........................................................................................... 11<br />
3.3.4 Weighted processes................................................................................12<br />
3.3.5 Energy comparison with other strategies................................................13<br />
3.3.6 Additional functions.................................................................................14<br />
4 Energy savings......................................................................................15<br />
5 Advantages and cus<strong>to</strong>mer benefits ....................................................16<br />
5.1 Advantages .............................................................................................16<br />
5.2 Cus<strong>to</strong>mer benefits...................................................................................16<br />
6 Field of use ............................................................................................16<br />
7 Display and operation ..........................................................................17<br />
8 System hardware ..................................................................................17<br />
9 Field devices..........................................................................................17<br />
10 Versioning..............................................................................................17<br />
11 Appendix................................................................................................18<br />
11.1 Plant components ...................................................................................18<br />
11.2 h,x-diagram .............................................................................................19<br />
11.3 ERC control behavior..............................................................................20<br />
12 About this document ............................................................................22<br />
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1 <strong>Introduction</strong> <strong>to</strong> <strong>Economizer</strong> <strong>tx2</strong><br />
The <strong>Economizer</strong> <strong>tx2</strong> application offers energy-optimized air conditioning plant<br />
control by conditioning the air supplied <strong>to</strong> the rooms using the most favorable type<br />
of energy. Our patented procedure continuously calculates air conditioning costs,<br />
allowing for targeted selection of the most favorable method. <strong>Economizer</strong> <strong>tx2</strong><br />
optimizes the room state within a setpoint field resulting in optimum setpoint<br />
settings for ventilation while at the same time optimizing energy recovery resulting<br />
in the best possible air aftertreatment. Optimization can be based on energy, costs,<br />
or CO2. As a result, <strong>Economizer</strong> <strong>tx2</strong> helps lower energy costs and offers an<br />
excellent basis for highly efficient operation. In fact, up <strong>to</strong> 40% energy can be<br />
saved compared <strong>to</strong> conventional air conditioning. At the same time, comfort control<br />
ensures that limit values are maintained for temperature and humidity. The<br />
innovative application is modular in design and includes a number of plant variants<br />
<strong>to</strong> control air handling units.<br />
Definition of terms<br />
ERC: Energy recovery<br />
<strong>Economizer</strong> <strong>tx2</strong><br />
2-dimensional optimization<br />
Absolute humidity<br />
Temperature<br />
Figure 1-1<br />
Basic diagram for an air conditioning plant with <strong>Economizer</strong> <strong>tx2</strong><br />
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2 Basics<br />
Air conditioning plants do not always enjoy the best of reputations. The reasons<br />
mainly concern plant hygiene, partly incorrect plant design, often high energy<br />
consumption as well, especially with older plants or certain designs. Nevertheless,<br />
air conditioning plants perform important tasks and have an established place in<br />
modern building control. A great deal of progress has been made in recent times,<br />
especially with regard <strong>to</strong> plant hygiene, energy management, and plant equipment.<br />
However, strategies for controlling air conditioning plants have hardly changed over<br />
the past few years. For example, energy recovery is typically controlled according<br />
<strong>to</strong> enthalpy, i.e. separate temperature and humidity control loops with their own<br />
energy-neutral zones but without inter-harmonization. This method does not always<br />
guarantee optimal behavior and generally is deficient with regard <strong>to</strong> dynamics.<br />
This is where our <strong>Economizer</strong> <strong>tx2</strong> comes in: Systematic exploitation of comfort<br />
limits inter-harmonization of setpoints, process control, and energy recovery mode.<br />
3 <strong>Economizer</strong> <strong>tx2</strong><br />
3.1 Overview<br />
An air conditioning plant ready for operation with energy recovery serves as our<br />
starting point. This air conditioning plant is tasked with providing adequate comfort<br />
conditions (use-adjusted room conditions) at the lowest possible operating costs.<br />
Minimizing operating costs, however, may not be at the expense of comfort.<br />
The following aggregates can be used as air handling units:<br />
– Hot water heating coil<br />
– Chilled water cooling coil<br />
– Steam humidifier, washer, spray humidifier<br />
– Plate heat exchanger, rotating ERC, or mixed air dampers
3.2 Principles of the <strong>tx2</strong> <strong>Economizer</strong> strategy<br />
Figure 3-1<br />
<strong>Economizer</strong> <strong>tx2</strong> principle. – Comfort area control (<strong>tx2</strong> control) and energy recovery control (<strong>tx2</strong> ERC<br />
strategy) <strong>to</strong>gether contribute <strong>to</strong> optimizing air conditioning plant operating costs through interharmonization<br />
and coupling.<br />
The <strong>Economizer</strong> <strong>tx2</strong> corresponds <strong>to</strong> h,x-controlled temperature and humidity<br />
control. The <strong>tx2</strong>-strategy controls the heat recovery system so that the air handling<br />
process is cost-optimized considering predominant air states and specific costs of<br />
air handling aggregates.<br />
The principle functions are explained in greater detail below.<br />
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3.3 The principle functions<br />
3.3.1 Comfort area<br />
Advantages:<br />
– Better comfort sensation<br />
– Greater potential energy savings<br />
<strong>Economizer</strong> <strong>tx2</strong> uses the so-called comfort area as a setpoint (see Figure 3-2).<br />
There are two reasons why a field is used as a setpoint.<br />
Comfort sensation:<br />
Optimal working environment conditions exist not just at a specific setpoint for<br />
room temperature and room humidity, but within a particular range.<br />
A temperature setpoint of 22°C and a setpoint for relative humidity of 45% with a<br />
deviation of e.g. ±2°C and ±15%r.h. are typical for office work.<br />
Additionally, it is meaningful <strong>to</strong> limit absolute humidity at high temperatures; or else,<br />
the air become <strong>to</strong>o muggy. This limit value typically is ca. 11g/kg.<br />
Energy savings:<br />
The greater the comfort area area, the greater the energy savings potential.<br />
Figure 3-2<br />
Comfort area in the h,x diagram
3.3.2 <strong>tx2</strong> control<br />
Figure 3-3<br />
<strong>tx2</strong> control – Determination of the room setpoint and cascade control for temperature and absolute<br />
humidity.<br />
Both room temperature and humidity are controlled as follows using the<br />
<strong>Economizer</strong> <strong>tx2</strong>:<br />
The comfort area determines the room air setpoint for temparature and humidity<br />
based on the present room air state and the defined comfort area. The comfort<br />
area is not actively controlled. When elements are activated, control is exercised <strong>to</strong><br />
the field's limit.<br />
The temperature and humidity controller are used as room air supply sequence<br />
cascade controllers. The reference controller calculates the reference variable for<br />
supply air from the room-side control deviation. The supply air controllers calculate<br />
the positioning signals for heating, cooling, humidification and dehumidification<br />
from supply air-side control deviations.<br />
Defining the room setpoint<br />
<strong>Economizer</strong> <strong>tx2</strong> (Figure 3-3) identifies the best room setpoint at the border or within<br />
the comfort area and applies optimized ERC (Figure 3-4).<br />
Demand for heating, cooling, humidification, and dehumidification or a combination<br />
thereof is based on the preconditioned air state and supply air setpoint.<br />
– For "heating and humidification", "cooling and dehumidification" and<br />
humidification and possible reheating", the related setpoint is identical <strong>to</strong> the<br />
most energy-efficient corner point within the comfort area.<br />
– For "cooling only", the setpoint is achieved by projecting the actual value <strong>to</strong> the<br />
upper limit of the comfort area.<br />
– For "heating only", projection is <strong>to</strong> the lower limit. The range with relative<br />
humidity forming the limit represents a special case. Here, the temperature<br />
setpoint is shifted along the relative humidity line. This results in greater heating<br />
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demand. But, no cooling and reheating is required <strong>to</strong> achieve the relative room<br />
humidity in this range. This lowers costs thanks <strong>to</strong> lower cooling energy<br />
requirements.<br />
– For "humidification only", the relative humidity actual value is projected <strong>to</strong> the<br />
relative humidity line. This results in greater humidification demand. But, no<br />
cooling is required in this range. This in turn lowers costs, as humidification<br />
normally costs less than cooling.<br />
Figure 3-4<br />
Possible state changes in the h,x diagram for the comfort area.<br />
See Section 11-2 for additional information on the h,x diagram.<br />
Cascade controller<br />
Advantages:<br />
– Better dynamic behavior<br />
The dynamic controller (Figure 3-3) comprises a cascade controller for temperature<br />
and humidity control. Temperature and relative humidity represent measured<br />
variables, temperature and absolute humidity, however, represent reference<br />
variables. The absolute humidity is calculated from temperature and relative<br />
humidity. This conversion decouples the two reference variables, resulting in<br />
improved dynamic behavior.<br />
The cascade contains two important components:<br />
– Room controller<br />
– Supply air controller
3.3.3 ERC strategy<br />
Advantages:<br />
– Optimal use of ERC<br />
The position signals are converted in<strong>to</strong> demand signals for the ERC strategy<br />
(Figure 3-1) and weighted using specific costs for heating, cooling, humidification<br />
and dehumidification. Weighting can be set for each plant <strong>to</strong> allow for cos<strong>to</strong>ptimized<br />
operation of the plant. The <strong>tx2</strong>-algorithm then calculates the positioning<br />
signal for heat recovery from the weighted demand signals so that the mixed air or<br />
air state after ERC continues <strong>to</strong> be conditioned by the follow-on air handling<br />
aggregates at minimum energy expense and costs.<br />
Energy recovery is controlled so that the sum of all weighted demand signals for<br />
heating, cooling, humidification, and dehumidification is minimized. The ERC<br />
strategy is based on the t,x diagram. Each process is assigned a vec<strong>to</strong>r at the t,x<br />
level (Figure 3-5) and weighting (Section 3.3.6). The vec<strong>to</strong>rs reflect the theoretical<br />
impact of each process. During operation, only two vec<strong>to</strong>rs can be active at any<br />
given time in addition <strong>to</strong> the ERC vec<strong>to</strong>r.<br />
The supply air setpoint is at the center of the diagram. In addition, the model shows<br />
the actual values for room and outside air. The ERC vec<strong>to</strong>r results from this,<br />
depending on the degree of recovery for temperature and humidity, based on the<br />
actual value for outside air.<br />
The aim is <strong>to</strong> identify the point on the ERC vec<strong>to</strong>r that minimizes the sum of the<br />
theoretical impact of both active processes.<br />
Example:<br />
The outside air is cooler than the room air. ERC also should condition cooler air,<br />
thereby increasing the amount of outside air, if cooling demand is high. This action<br />
reduces the required cooling energy. If humidification is required at the same time,<br />
an additional dimension is added (Section 3.3.5).<br />
Figure 3-5: t,x diagram<br />
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3.3.4 Weighted processes<br />
Advantages:<br />
– Minimize energy costs<br />
– Reduce energy consumption<br />
– Reduce CO2 emissions<br />
Relative weightings are used <strong>to</strong> optimize ERC. They result from the energy<br />
provisioning processes for heating, cooling, humidification, and dehumidification.<br />
The weighting fac<strong>to</strong>rs can be used <strong>to</strong> optimize:<br />
– Energy costs<br />
– Energy consumption<br />
– CO2 emissions<br />
Example: Energy costs<br />
Energy recovery optimizes energy costs by preconditioning outside air. To do this,<br />
the supply air controller's (Figure 3-3) demand signals are weighted by the specific<br />
costs of the corresponding processes (Table 3-6) and energy recovery is<br />
controlled.<br />
Process Specific costs Relative weighting<br />
Heating 0.09 € 1<br />
Cooling 0.16 € 2<br />
Humidification 0.08 € 1<br />
Dehumidification 0.23 € 3<br />
Table 3-6<br />
Example for specific costs and relative weighting.<br />
Specific costs are in € relative <strong>to</strong> a 1K temperature difference and a one-hour operating period.
3.3.5 Energy comparison with other strategies<br />
The DESIGO INSIGHT management station allows for displaying savings by<br />
means of an energy comparison table. The most important characteristic values<br />
are calculated and displayed online based on known plant variables.<br />
Table 3-7<br />
Energy comparison table with conventional ERC control and <strong>Economizer</strong> <strong>tx2</strong> in DESIGO INSIGHT<br />
A Present power in [kW]<br />
B Provided energy (cumulated power) in [kW]<br />
C Present cost<br />
D Total cost (cumulated cost)<br />
The energy comparison table (Table 3-7) displays conventional ERC strategies:<br />
– Strategy Max ERC recovery ERC is fully controlled<br />
– Strategy Temp. ERC is integrated in the temperature sequence<br />
– Strategy Hum. ERC is integrated in the humidity sequence<br />
– Strategy Enthalpy. ERC is controlled <strong>to</strong> the supply air setpoint<br />
enthalpy<br />
The last column contains the <strong>Economizer</strong> <strong>tx2</strong> strategy.<br />
The table visualizes the following variables:<br />
– Output and energy consumption for thermal air handling, provided by the<br />
processes heating, cooling, humidification and dehumidification.<br />
– Water costs as a function of the humidity increase.<br />
– Momentary and added costs as a function using cost fac<strong>to</strong>rs for weighted output<br />
and energy consumption.<br />
– Fan energy and temperature increase caused by the fan. Electrical output and<br />
energy is calculated based on volume flow and overall pressure difference via<br />
the ventila<strong>to</strong>r.<br />
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Additional information is available in the appendix (Section 11.3).<br />
3.3.6 Additional functions<br />
– Modular designed standard library applications including graphics for plant<br />
operation using DESIGO INSIGHT <strong>to</strong> operate air conditioning plants<br />
– Control of air handling unit for multiple plant variants<br />
– Summer/winter compensation for greater comfort<br />
– Summer compensation for additional energy savings<br />
– Fault shutdown for maximum safety<br />
– Data logging and moni<strong>to</strong>ring
4 Energy savings<br />
Comprehensive building simulations have been examined for energy consumption,<br />
comfort, and control accuracy. The <strong>Economizer</strong> <strong>tx2</strong> algorithm generates the corner<br />
values <strong>to</strong> compare energy consumption <strong>to</strong> a conventional air conditioning plant<br />
control with ERC control included in the temperature sequence.<br />
<strong>Building</strong>:<br />
Museum<br />
Primary plant:<br />
Heating: Gas burner,<br />
centralized ventilation plant with heating coils<br />
Cooling and dehumidification: Refrigeration machine,<br />
centralized ventilation plant with cooling coils<br />
for humidification and dehumidification<br />
Humidification: Central ventilation plant with steam humidifier<br />
ERC control: ERC is integrated in the temperature sequence<br />
with comfort band<br />
Result:<br />
Simulation results show that the <strong>Economizer</strong> <strong>tx2</strong> application results in typical<br />
energy savings of 5 <strong>to</strong> 10% annually. Savings of up <strong>to</strong> 40% are possible depending<br />
on room use and outside air conditions.<br />
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5 Advantages and cus<strong>to</strong>mer benefits<br />
5.1 Advantages<br />
– Comfort control <strong>to</strong> maintain temperature and humidity limits<br />
– Cost-optimized use of available energies<br />
– Monetary display of plant efficiency<br />
– Modular designed standard library applications including graphics for plant<br />
operation using DESIGO INSIGHT <strong>to</strong> simplify engineering and commissioning<br />
5.2 Cus<strong>to</strong>mer benefits<br />
– Suitable for existing plants, since optimization is achieved using purely controltechnical<br />
measures without costly modifications <strong>to</strong> plant hardware<br />
– Reduced air conditioning costs<br />
– Optimized costs by considering energy tariffs<br />
– Concrete means of sustainably reducing CO2 thanks <strong>to</strong> energy savings<br />
– Time and costs savings during engineering, commissioning and occupancy<br />
phases as well as lower service costs thanks <strong>to</strong> tested applications and detailed<br />
documentation<br />
– Meets the highest energy class in EN 15232 and increases the value of the plant<br />
as well as the potential resale value of the building<br />
Figure 5-1<br />
6 Field of use<br />
The following list outlines applications where it makes sense <strong>to</strong> use <strong>Economizer</strong><br />
<strong>tx2</strong>:<br />
– Museums<br />
– Printing shops<br />
– Food industry<br />
– Production or assembly halls with special requirements for ambient conditions<br />
– Computer centers<br />
– Pharmaceutical industry<br />
– Labs<br />
– Operating rooms<br />
The application can be used on both new and existing plants.
7 Display and operation<br />
DESIGO INSIGHT offers predefined plant pictures for air handling units. A table<br />
shows a comparison of the most common energy consumption means (Table 3-7).<br />
Figure 7-1<br />
Overview picture with operating elements for air handling unit<br />
8 System hardware<br />
The <strong>Economizer</strong> <strong>tx2</strong> application is approved for installation on the primary<br />
au<strong>to</strong>mation station PXC.<br />
9 Field devices<br />
No special requirements are placed on field devices with regard <strong>to</strong> measuring<br />
precision, quality, etc.<br />
<strong>Siemens</strong> field devices should be used whenever possible.<br />
10 Versioning<br />
<strong>Economizer</strong> <strong>tx2</strong> can be used from DESIGO V4.0.<br />
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11 Appendix<br />
11.1 Plant components<br />
The <strong>Economizer</strong> <strong>tx2</strong> application offers a modular design allowing for adaptation <strong>to</strong><br />
different types of air conditioning plants. It contains various variants and options.<br />
Resulting in broad coverage of typical plants.<br />
Components supported by <strong>Economizer</strong> <strong>tx2</strong>:<br />
Components<br />
ERC types<br />
<strong>Economizer</strong> <strong>tx2</strong> Comment<br />
Mixing air X<br />
Rotary heat exchanger X<br />
Plate heat exchanger<br />
Heating coil<br />
X<br />
Preheater X<br />
Reheating coil<br />
Humidifier types<br />
X<br />
Steam humidifier X<br />
Washer X<br />
Spray humidifier X<br />
Cold water steam<br />
humidifier<br />
Cooling coil<br />
X<br />
Cooling<br />
Fan<br />
X<br />
Single-speed X<br />
Two-speed X<br />
Modulating<br />
Table 11-1<br />
X<br />
X Supported
11.2 h,x-diagram<br />
Simplifying calculation of air state changes graphically was attempted a long time<br />
ago. Diagrams for psychrometric calculations (e.g. enthalpy, dewpoint etc.) exist in<br />
various forms. The Mollier diagram normally is used in Europe, and Carrier in the<br />
U.S. Both diagrams use the same principal approach, only the orientation of the<br />
axes varies. The temperature axis in the Mollier diagram is vertical, and horizontal<br />
in Carrier. Water content in Mollier is horizontal, and vertical in Carrier.<br />
Figure 11-1<br />
h,x diagram by Mollier<br />
Name Unit Description<br />
A Temperature T Designates the heating condition of air. Indicated in degrees °C or<br />
[°C] absolute in Kelvin K.<br />
B Absolute x Absolute humidity x is the amount of water per kg in dry air,<br />
humidity [g/kg] expressed in g.<br />
C Relative % Dry air can only absorb a specific maximum amount of steam at a<br />
humidity [r.h.] particular temperature. The higher the temperature, the greater the<br />
possible amount of water in the air.<br />
D Heat unit or h One of the most important calculations in terms of ventilation is<br />
enthalpy [kJ/kg] determining the amount of heat needed <strong>to</strong> achieve an air state<br />
predefined by temperature and humidity. In this case, air, whose state<br />
is unknown, must either be mixed, heated, cooled, humidified, or<br />
dehumidified <strong>to</strong> achieve the required air state. The heat contents h (in<br />
kJ/kg) plays a significant role.<br />
E Steam Pw Overheated steam mixed in air has a particular steam pressure Pw.<br />
pressure [mbar] This steam pressure is part of the entire air pressure and, for this<br />
reason, is also referred <strong>to</strong> as partial pressure for steam. This partial<br />
pressure depends on the mixing ratio of steam <strong>to</strong> dry air. The higher<br />
the steam content of air, the greater the partial pressure of steam Pw.<br />
As a result, steam partial pressure Pw can be displayed in the mbar<br />
parallel, horizontal <strong>to</strong> water content x, thus allowing for determining<br />
the partial pressure Pw corresponding <strong>to</strong> a particular water content x<br />
[g/kg].<br />
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11.3 ERC control behavior<br />
The best known, conventional control procedures for ERC are list below.<br />
– Stg 1: Strategy Max ERC recovery ERC is fully controlled<br />
– Stg 2: Strategy Temp. ERC is integrated in the temperature<br />
sequence<br />
– Stg 3: Strategy Hum. ERC is integrated in the humidity sequence<br />
– Stg 4: Strategy Enthalpy. ERC is controlled <strong>to</strong> the supply air setpoint<br />
enthalpy.<br />
The air state after ERC depends on the selected strategy.<br />
Figure 11-2<br />
h,x diagram with schematic of the 4 strategies.<br />
On the ERC lines, i.e. in the case of recirculated air on the line between the outside air and extract air,<br />
all possible states for the mixed air are entered after mixed air damper control.<br />
4 points on the line are special; they are the starting points for energy calculations.<br />
Ex Extract air SpSu Supply air setpoint<br />
x Steam content absolute T Temperature<br />
Oa Outside air<br />
Energy consumption is calculated based on air states 1 and 2 as per Figure 11-3<br />
and the weighting fac<strong>to</strong>rs <strong>to</strong> evaluate the energy of the strategies per strategy:<br />
– State 2 is given by the supply air temperature and supply air humidity.<br />
– State 1 can be determined for temperature and humidity based on the ERC<br />
strategy and the effectiveness of the ERC.<br />
– Calculation of energy costs considers the related air handling aggregates and<br />
their specific costs. Involved aggregates result from the required change of state<br />
and aggregate-specific, possible changes of state.<br />
The strategies Stg 1 <strong>to</strong> Stg 4 (Figure 11-2) are displayed in DESIGO INSIGHT. For<br />
inactive strategies, the setpoint for Sta 2 is used for calculation, see Table 3-7.
Figure 11-3:<br />
Diagram for an air conditioning plant with entered, principal air states 1 (Sta1) and 2 (Sta2) for energy<br />
calculation:<br />
- Air state 1 corresponds <strong>to</strong> the state of the air after ERC<br />
- Air state 2 corresponds <strong>to</strong> the state of the air after air handling<br />
Ex Exhaust air Sta2 Air state 2<br />
Oa Outside air Su Supply air<br />
Sta1 Air state 1; depends on ERC strategy<br />
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12 About this document<br />
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© <strong>Siemens</strong> Switzerland Ltd, 2011 • Order no. CM110745en-TX2