Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO
Aiming at the issues of unreasonable cooperation schemes and inappropriate setting of parameters of the refrigeration system with multi-chiller plants, this paper presents a cooperative optimization method to improve the energy performance of the system composed of water-cooled chillers and air-cool...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/19/7077 |
| _version_ | 1797479577925189632 |
|---|---|
| author | Qinli Deng Liangxin Xu Tingfang Zhao Xuexin Hong Xiaofang Shan Zhigang Ren |
| author_facet | Qinli Deng Liangxin Xu Tingfang Zhao Xuexin Hong Xiaofang Shan Zhigang Ren |
| author_sort | Qinli Deng |
| collection | DOAJ |
| description | Aiming at the issues of unreasonable cooperation schemes and inappropriate setting of parameters of the refrigeration system with multi-chiller plants, this paper presents a cooperative optimization method to improve the energy performance of the system composed of water-cooled chillers and air-cooled heat pumps. The cooperative optimization process includes scheme optimization and parameter optimization. To content the dynamic cooling load, the working sequence of air-cooled heat pumps and water-cooled chillers with variable frequency chilled water pumps is first optimized. Based on the optimal scheme, a back-propagation neural network (BPNN) coupled with particle swarm optimization (PSO) is implemented to explore the preferred operating parameters of multiple chiller plants corresponding to the best coefficient of performance (COP). Compared with the performance of the initial operation module, the energy consumption of the water pump and fan decreases by over 50%, and the COP of the refrigeration system is improved by 16% (COP = 3.85) through the scheme operation. After parameter optimization, the total energy consumption is reduced by 21.7%, and COP is increased by 26.5% (COP = 4.20). Therefore, the proposed cooperative optimization method can provide useful operation guidance for the refrigeration system with multi-chiller plants. |
| first_indexed | 2024-03-09T21:47:48Z |
| format | Article |
| id | doaj.art-43d0f8d1e3204b6caa2ae7d9e70f5bad |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:47:48Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-43d0f8d1e3204b6caa2ae7d9e70f5bad2023-11-23T20:12:46ZengMDPI AGEnergies1996-10732022-09-011519707710.3390/en15197077Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSOQinli Deng0Liangxin Xu1Tingfang Zhao2Xuexin Hong3Xiaofang Shan4Zhigang Ren5School of Civil Engineering and Architecture, Wuhan University of Technology, No.122 Luoshi Road, Wuhan 430070, ChinaSchool of Civil Engineering and Architecture, Wuhan University of Technology, No.122 Luoshi Road, Wuhan 430070, ChinaSchool of Civil Engineering and Architecture, Wuhan University of Technology, No.122 Luoshi Road, Wuhan 430070, ChinaWuhan University of Technology Design and Research Institute Co., Ltd., Wuhan 430070, ChinaSchool of Civil Engineering and Architecture, Wuhan University of Technology, No.122 Luoshi Road, Wuhan 430070, ChinaSchool of Civil Engineering and Architecture, Wuhan University of Technology, No.122 Luoshi Road, Wuhan 430070, ChinaAiming at the issues of unreasonable cooperation schemes and inappropriate setting of parameters of the refrigeration system with multi-chiller plants, this paper presents a cooperative optimization method to improve the energy performance of the system composed of water-cooled chillers and air-cooled heat pumps. The cooperative optimization process includes scheme optimization and parameter optimization. To content the dynamic cooling load, the working sequence of air-cooled heat pumps and water-cooled chillers with variable frequency chilled water pumps is first optimized. Based on the optimal scheme, a back-propagation neural network (BPNN) coupled with particle swarm optimization (PSO) is implemented to explore the preferred operating parameters of multiple chiller plants corresponding to the best coefficient of performance (COP). Compared with the performance of the initial operation module, the energy consumption of the water pump and fan decreases by over 50%, and the COP of the refrigeration system is improved by 16% (COP = 3.85) through the scheme operation. After parameter optimization, the total energy consumption is reduced by 21.7%, and COP is increased by 26.5% (COP = 4.20). Therefore, the proposed cooperative optimization method can provide useful operation guidance for the refrigeration system with multi-chiller plants.https://www.mdpi.com/1996-1073/15/19/7077water-cooled chillerair-cooled heat pumpback-propagation neural networkparticle swarm optimizationoptimal operation control |
| spellingShingle | Qinli Deng Liangxin Xu Tingfang Zhao Xuexin Hong Xiaofang Shan Zhigang Ren Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO Energies water-cooled chiller air-cooled heat pump back-propagation neural network particle swarm optimization optimal operation control |
| title | Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO |
| title_full | Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO |
| title_fullStr | Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO |
| title_full_unstemmed | Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO |
| title_short | Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO |
| title_sort | cooperative optimization of a refrigeration system with a water cooled chiller and air cooled heat pump by coupling bpnn and pso |
| topic | water-cooled chiller air-cooled heat pump back-propagation neural network particle swarm optimization optimal operation control |
| url | https://www.mdpi.com/1996-1073/15/19/7077 |
| work_keys_str_mv | AT qinlideng cooperativeoptimizationofarefrigerationsystemwithawatercooledchillerandaircooledheatpumpbycouplingbpnnandpso AT liangxinxu cooperativeoptimizationofarefrigerationsystemwithawatercooledchillerandaircooledheatpumpbycouplingbpnnandpso AT tingfangzhao cooperativeoptimizationofarefrigerationsystemwithawatercooledchillerandaircooledheatpumpbycouplingbpnnandpso AT xuexinhong cooperativeoptimizationofarefrigerationsystemwithawatercooledchillerandaircooledheatpumpbycouplingbpnnandpso AT xiaofangshan cooperativeoptimizationofarefrigerationsystemwithawatercooledchillerandaircooledheatpumpbycouplingbpnnandpso AT zhigangren cooperativeoptimizationofarefrigerationsystemwithawatercooledchillerandaircooledheatpumpbycouplingbpnnandpso |