Water-to-Water
Heat Pump Parameter / Coefficient Generator (Cooling and
Heating Mode)[LINK]
This document gives brief instructions on generating the
parameters/ coefficients for the water-to-water heat pump
models in cooling and heating mode. The Excel™ spreadsheets
(WaterWater_PE_Cooling.xls and WaterWater_PE_Heating.xls) are
used. Since the spreadsheet functions are very similar for
both cooling and heating modes, only one instruction document
is supplied. The spreadsheet generates:
- parameters for the parameter estimation based model.
- coefficients for the curve-fit model.
The following theses have detailed information about the
curve-fit model and parameter estimation based model:
Jin, Hui. 2002. Parameter Estimation Based Models of Water
Source Heat Pumps. Phd. Thesis, Department of Mechanical and
Aerospace Engineering, Oklahoma State University.
(downloadable at www.hvac.okstate.edu)
Shenoy,Arun. 2004. Simulation, Modeling and Analysis of
Water to Air Heat Pump. M.S. Thesis, Department of Mechanical
and Aerospace Engineering, Oklahoma State University.
(downloadable at www.hvac.okstate.edu)
Tang,C.C. 2004. Modeling Packaged Heat Pumps in a
Quasi-Steady State Energy Simulation Program. M.S. Thesis,
Department of Mechanical and Aerospace Engineering, Oklahoma
State University. (downloadable at www.hvac.okstate.edu)
Data points are obtained from the heat pump manufacturer
data. Minimum data points for the parameter estimation based
model are 32 data points according to Jin (2002). The
curve-fit model performance is not affected by the number of
data points and a minimum of 5 data points is required since
the governing equations require 6 coefficients. The data
points must have varying inlet conditions (e.g. water flow
rates, inlet water temperatures, etc.) that covers the entire
range of the heat pump operating conditions. Correction tables
provided by the manufacturer should be used to extend the
catalog data range in order to have a good set of
parameters/coefficients.
- Using the heat pump performance data, enter the values to
Table 1 in worksheet “CATALOG DATA”. The values can be in SI
or IP units.
- Click on Button 1 based on the units used.
For IP units:
For SI units:
- The program will convert the values to the desired units
and display them on Table 2 in worksheet “INPUT”.
- The button shown below is used clearing Table 1 (worksheet
“CATALOG DATA”), and Table 2 (worksheet “INPUT”). It is
advisable to clear the tables before generating
parameters/coefficients for a new heat pump model.
After Table 2 is created, the parameters/coefficients are
then calculated as follows:
- Worksheet “ParamEstimator” is used for generating the
parameters for the parameter estimation based model using
Nelder Mead Simplex. Refer to the steps in the Parameter
Estimation Procedure.
- Worksheet “CoeffCalculator” is used for calculate the
coefficients for the curve-fit model using the generalized
least square method. Refer to the steps in the Curve Fit Model
procedure.
Parameter Estimation
Procedure[LINK]
Step
2a: Generating First Set of Parameters (PE-Based Model)[LINK]
- Using Table 2, the program can generate parameters. The
user must fill all the cells colored light blue in worksheet
“ParamEstimator”.
- Accuracy: Start with a low accuracy for
faster convergence, recommended value of 0.001.
- Compressor Type: Only reciprocating
compressor is currently available in EnergyPlus. One might be
able to generate parameters for heat pump model with different
compressor types but this might result in unrealistic
parameters.
- Refrigerant: Contact the manufacturer on
the refrigerant used to generate the catalog data and select
from the list of refrigerants. Usually the refrigerant used is
R22. .
- Which Initial Guess?: The user may choose
a set of initial guesses(1-5) that will be used by the
optimization routine in generating the parameters. Start with
1, which is the set of initial guess 1 at column B.
- Initial Guess: Initial guess for all the
parameters. For Initial Guess 1, enter a value of 1 for all
the parameters except for the loss factor (less than 1.0). The
loss factor should be less than 1.0 because the efficiency of
the compressor should be less than 100%. Adjust the values in
Initial Guess 1 if the program happens to crash and try
again.
- Now click on Button 2 shown below to generate the
parameters.
It will take some time to generate the parameters depending
on the number of data points. The parameters generated will be
displayed at Parameters 1.
- Look at the error analysis of Error 1 which gives the user
a summary of the errors for Qload, Qsource and Power. An
average error of 5-8% is achievable for all the values.
- The errors for all the individual catalog data points are
displayed in worksheet “RESULT”.
Step
2b: Improving the Set of Parameters (PE-Based Model)[LINK]
- After the initial set of parameters has been generated,
the user can increase the accuracy of the parameters by using
parameters generated as the initial guess for the second
simulation and increasing the accuracy of the program.
- Copy and Paste Parameters 1 to Initial Guess 2.
- Change the initial guess indicator (Which Initial
Guess?:) from 1 to 2.
- Increase the accuracy by twice. For example, set accuracy
to 0.000001.
- Now click on Button 2 shown below to generate the second
set of parameters.
The simulation time would most likely be less but it
depends on the accuracy value as well. And the parameters
generated will be displayed at Parameter 2.
- Compare Error 2 to Error 1, the error values should be
less which means that the parameters are getting better and
more accurate.
- Repeat the steps in 2a and 2b until a desired set of error
values is achieved or the errors stop decreasing
- Click on the Button 3 shown below to convert and arrange
the parameters generated to fit EnergyPlus Input File (IDF)
which will be listed from cell B52:B59 for cooling mode and
B46:B54 for heating mode.
- The button shown below in worksheet “ParamEstimator” is
used for clearing Initial Guess (2-5), Parameters(1-5),
Error(1-5), EnergyPlus Input parameters and Result(1-5) in
worksheet “RESULT”.
End Parameter
Estimation Procedure[LINK]
Curve Fit Model
Procedure[LINK]
Step
2: Generating the coefficients (Curve-Fit Model)[LINK]
- Using Table 2, the program is ready to generate the
coefficients. User is required to fill all the cells colored
light blue in worksheet “CoeffCalculator”.
- RatedLoadVolFlowRate: Rated load side
volumetric flow rate (m3/s) which corresponds to
the highest load side heat transfer rate listed in the catalog
data.
- RatedSourceVolFlowRate: Rated source side
volumetric flow rate (m3/s) which corresponds to
the highest load side heat transfer rate listed in the catalog
data.
- RatedQload: Rated load side heat transfer
rate (W) which is the highest load side heat transfer rate
listed in the catalog data.
- RatedPower: Rated power consumption (W)
which corresponds to the highest load side heat transfer rate
listed in the catalog data.
- Now click on Button 2 shown below to calculate the
coefficients.
- The coefficients for the corresponding curves are listed
at cell B12:C16. Error analysis of model is listed at cell
B19:B27.
- The errors for all the individual catalog data points are
displayed in worksheet “RESULT”.
- The button shown below in worksheet “CoeffCalculator” is
used for clearing the coefficients, the error analysis and the
outputs in worksheet “RESULT”.
End Curve Fit Model
Procedure[LINK]
Water-to-Water Heat Pump Parameter / Coefficient Generator (Cooling and Heating Mode)[LINK]
This document gives brief instructions on generating the parameters/ coefficients for the water-to-water heat pump models in cooling and heating mode. The Excel™ spreadsheets (WaterWater_PE_Cooling.xls and WaterWater_PE_Heating.xls) are used. Since the spreadsheet functions are very similar for both cooling and heating modes, only one instruction document is supplied. The spreadsheet generates:
The following theses have detailed information about the curve-fit model and parameter estimation based model:
Jin, Hui. 2002. Parameter Estimation Based Models of Water Source Heat Pumps. Phd. Thesis, Department of Mechanical and Aerospace Engineering, Oklahoma State University. (downloadable at www.hvac.okstate.edu)
Shenoy,Arun. 2004. Simulation, Modeling and Analysis of Water to Air Heat Pump. M.S. Thesis, Department of Mechanical and Aerospace Engineering, Oklahoma State University. (downloadable at www.hvac.okstate.edu)
Tang,C.C. 2004. Modeling Packaged Heat Pumps in a Quasi-Steady State Energy Simulation Program. M.S. Thesis, Department of Mechanical and Aerospace Engineering, Oklahoma State University. (downloadable at www.hvac.okstate.edu)
Step 1: Catalog Data Input[LINK]
Data points are obtained from the heat pump manufacturer data. Minimum data points for the parameter estimation based model are 32 data points according to Jin (2002). The curve-fit model performance is not affected by the number of data points and a minimum of 5 data points is required since the governing equations require 6 coefficients. The data points must have varying inlet conditions (e.g. water flow rates, inlet water temperatures, etc.) that covers the entire range of the heat pump operating conditions. Correction tables provided by the manufacturer should be used to extend the catalog data range in order to have a good set of parameters/coefficients.
For IP units:
For SI units:
After Table 2 is created, the parameters/coefficients are then calculated as follows:
Parameter Estimation Procedure[LINK]
Step 2a: Generating First Set of Parameters (PE-Based Model)[LINK]
It will take some time to generate the parameters depending on the number of data points. The parameters generated will be displayed at Parameters 1.
Step 2b: Improving the Set of Parameters (PE-Based Model)[LINK]
The simulation time would most likely be less but it depends on the accuracy value as well. And the parameters generated will be displayed at Parameter 2.
Step 3: Generating EnergyPlus Input Parameters[LINK]
End Parameter Estimation Procedure[LINK]
Curve Fit Model Procedure[LINK]
Step 2: Generating the coefficients (Curve-Fit Model)[LINK]
End Curve Fit Model Procedure[LINK]
Documentation content copyright © 1996-2026 The Board of Trustees of the University of Illinois and the Regents of the University of California through the Ernest Orlando Lawrence Berkeley National Laboratory. All rights reserved. EnergyPlus is a trademark of the US Department of Energy.
This documentation is made available under the EnergyPlus Open Source License v1.0.