Modeling and multi-objective optimization of polymer desiccant cooling system
The polymer desiccant cooling system (PDCS) efficiently reduces energy consumption compared to the vapor compression system (VCS). In this paper, a PDCS integrated heat pump is proposed. Experimental and simulation are used to analyze the performance of the PDCS. The control strategy is optimized wi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23011772 |
| _version_ | 1797356908485541888 |
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| author | Hui Zhang Zheng Qian Zhicong Fang Xuemei Zhang |
| author_facet | Hui Zhang Zheng Qian Zhicong Fang Xuemei Zhang |
| author_sort | Hui Zhang |
| collection | DOAJ |
| description | The polymer desiccant cooling system (PDCS) efficiently reduces energy consumption compared to the vapor compression system (VCS). In this paper, a PDCS integrated heat pump is proposed. Experimental and simulation are used to analyze the performance of the PDCS. The control strategy is optimized with the NSGA Ⅱ algorithm. A case study in Shanghai illustrates the practical application of the PDCS optimization strategy. The calculation results based on the thermal comfort requirement show the maximum energy consumption of optimized PDCS, routine PDCS, and VCS are 549.9 kW, 597.7 kW, and 1327.7 kW. About 62.7 % and 72.3 % of energy can be saved in routine PDCS and optimized PDCS compared to VCS. Moreover, the maximum moisture removal efficiency of the above scenarios is 10.67 kW/(g·s), 11.56 kW/(g·s), and 25.42 kW/(g·s), separately. Additionally, the maximum coefficient of performance is 0.530, 0.457, and 0.182, respectively. |
| first_indexed | 2024-03-08T14:36:38Z |
| format | Article |
| id | doaj.art-caa96f290829464ea763b256bba9aa87 |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-03-08T14:36:38Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-caa96f290829464ea763b256bba9aa872024-01-12T04:56:45ZengElsevierCase Studies in Thermal Engineering2214-157X2024-01-0153103871Modeling and multi-objective optimization of polymer desiccant cooling systemHui Zhang0Zheng Qian1Zhicong Fang2Xuemei Zhang3School of Mechanical Engineering, Tongji University, Shanghai, 201804, ChinaSchool of Mechanical Engineering, Tongji University, Shanghai, 201804, ChinaSchool of Mechanical Engineering, Tongji University, Shanghai, 201804, ChinaSchool of Mechanical Engineering, Tongji University, Shanghai, 201804, China; Corresponding author.The polymer desiccant cooling system (PDCS) efficiently reduces energy consumption compared to the vapor compression system (VCS). In this paper, a PDCS integrated heat pump is proposed. Experimental and simulation are used to analyze the performance of the PDCS. The control strategy is optimized with the NSGA Ⅱ algorithm. A case study in Shanghai illustrates the practical application of the PDCS optimization strategy. The calculation results based on the thermal comfort requirement show the maximum energy consumption of optimized PDCS, routine PDCS, and VCS are 549.9 kW, 597.7 kW, and 1327.7 kW. About 62.7 % and 72.3 % of energy can be saved in routine PDCS and optimized PDCS compared to VCS. Moreover, the maximum moisture removal efficiency of the above scenarios is 10.67 kW/(g·s), 11.56 kW/(g·s), and 25.42 kW/(g·s), separately. Additionally, the maximum coefficient of performance is 0.530, 0.457, and 0.182, respectively.http://www.sciencedirect.com/science/article/pii/S2214157X23011772Air conditioningDehumidificationPDWSNSGA Ⅱ |
| spellingShingle | Hui Zhang Zheng Qian Zhicong Fang Xuemei Zhang Modeling and multi-objective optimization of polymer desiccant cooling system Case Studies in Thermal Engineering Air conditioning Dehumidification PDWS NSGA Ⅱ |
| title | Modeling and multi-objective optimization of polymer desiccant cooling system |
| title_full | Modeling and multi-objective optimization of polymer desiccant cooling system |
| title_fullStr | Modeling and multi-objective optimization of polymer desiccant cooling system |
| title_full_unstemmed | Modeling and multi-objective optimization of polymer desiccant cooling system |
| title_short | Modeling and multi-objective optimization of polymer desiccant cooling system |
| title_sort | modeling and multi objective optimization of polymer desiccant cooling system |
| topic | Air conditioning Dehumidification PDWS NSGA Ⅱ |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X23011772 |
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