A comprehensive approach to find the performance map of a heat pump using experiment and soft computing methods. (1st December 2017)
- Record Type:
- Journal Article
- Title:
- A comprehensive approach to find the performance map of a heat pump using experiment and soft computing methods. (1st December 2017)
- Main Title:
- A comprehensive approach to find the performance map of a heat pump using experiment and soft computing methods
- Authors:
- Moradi, Mohammad Hossein
Sohani, Ali
Zabihigivi, Mitra
Wirbser, Heiner - Abstract:
- Highlights: A novel systematic approach to simulate operation of heat pumps is presented. Both experiments and soft computing techniques are employed in the approach. All of the components of heat pump are modeled precisely. The mean absolute error of recorded experimental validation data is only 2.95%. A comprehensive sensitivity analysis considering nine performance parameters is done. Abstract: A novel systematic practical approach to simulate the performance of heat pumps precisely is presented. In the proposed method, by conducting a number of experiments as well using soft computing techniques, the operation of all of the components is modeled comprehensively. The application of the method is examined for an experimental setup. The effective adjustable parameters are selected in a way that enabled them to be changed freely in the experimental setup. The Mean absolute error of prediction of coefficient of performance for validation measured experimental data is only 2.95%. In addition, to provide a comprehensive insight, an extensive sensitivity analysis considering nine performance parameters, such as mass flow rate of refrigerant and pressure drop of condenser, is conducted. It is found that the minimum possible is the best value of inlet temperature of water of condenser. Moreover, for inlet temperature of water of evaporator, frequency of compressor and degree of superheating which are the other adjustable effective parameters trade-offs among performance parametersHighlights: A novel systematic approach to simulate operation of heat pumps is presented. Both experiments and soft computing techniques are employed in the approach. All of the components of heat pump are modeled precisely. The mean absolute error of recorded experimental validation data is only 2.95%. A comprehensive sensitivity analysis considering nine performance parameters is done. Abstract: A novel systematic practical approach to simulate the performance of heat pumps precisely is presented. In the proposed method, by conducting a number of experiments as well using soft computing techniques, the operation of all of the components is modeled comprehensively. The application of the method is examined for an experimental setup. The effective adjustable parameters are selected in a way that enabled them to be changed freely in the experimental setup. The Mean absolute error of prediction of coefficient of performance for validation measured experimental data is only 2.95%. In addition, to provide a comprehensive insight, an extensive sensitivity analysis considering nine performance parameters, such as mass flow rate of refrigerant and pressure drop of condenser, is conducted. It is found that the minimum possible is the best value of inlet temperature of water of condenser. Moreover, for inlet temperature of water of evaporator, frequency of compressor and degree of superheating which are the other adjustable effective parameters trade-offs among performance parameters are observed. For example, increasing the degree of superheating led to improve required work and isentropic efficiency of compressor as well as coefficient of performance and pressure drop of condenser, while it decreased the delivered heat. … (more)
- Is Part Of:
- Energy conversion and management. Volume 153(2017)
- Journal:
- Energy conversion and management
- Issue:
- Volume 153(2017)
- Issue Display:
- Volume 153, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 153
- Issue:
- 2017
- Issue Sort Value:
- 2017-0153-2017-0000
- Page Start:
- 224
- Page End:
- 242
- Publication Date:
- 2017-12-01
- Subjects:
- Artificial neural networks -- Comprehensive sensitivity analysis -- Experimental study -- Heat pumps -- Soft computing and statistical tools
Direct energy conversion -- Periodicals
Energy storage -- Periodicals
Energy transfer -- Periodicals
Énergie -- Conversion directe -- Périodiques
Direct energy conversion
Periodicals
621.3105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01968904 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.enconman.2017.09.070 ↗
- Languages:
- English
- ISSNs:
- 0196-8904
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.547000
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British Library HMNTS - ELD Digital store - Ingest File:
- 8562.xml