Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China
Opening windows for ventilation in summer is an essential means to improve the indoor thermal environment and enhance comfort. At present, there are much researches on the factors affecting the occupants’ window-opening behavior, and the research on their optimization strategies is relatively scarce...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-10-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722009337 |
| _version_ | 1811178097522769920 |
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| author | Junkang Song Wanjiang Wang Pingan Ni Hanjie Zheng Yihuan Zhou Yongwang Zhang |
| author_facet | Junkang Song Wanjiang Wang Pingan Ni Hanjie Zheng Yihuan Zhou Yongwang Zhang |
| author_sort | Junkang Song |
| collection | DOAJ |
| description | Opening windows for ventilation in summer is an essential means to improve the indoor thermal environment and enhance comfort. At present, there are much researches on the factors affecting the occupants’ window-opening behavior, and the research on their optimization strategies is relatively scarce. This paper selects 13 typical climate cities in Xinjiang, uses LBT to simulate natural ventilation through parametric modeling and conducts experimental verification. The results show that the parametric model has high fitting accuracy (RMSE<0.8, R2>0.9). Subsequent optimization using GA in an optimized solution for summer open windows suitable for all parts of Xinjiang. Southern Xinjiang has the most significant increase in comfort, followed by northern Xinjiang and the smallest in eastern Xinjiang. The most effective (47.3%) is in Korla, southern Xinjiang. Through verification and comparison with related research, the optimized solution has good generalization ability and flexibility. The research results show that the optimal ventilation strategy significantly improves indoor comfort in rural areas in this region. This paper provides an effective tool and idea for studying the aspects of increasing the efficiency of the use of natural ventilation. |
| first_indexed | 2024-04-11T06:12:37Z |
| format | Article |
| id | doaj.art-00ce722f766f48dda4d499e994954181 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T06:12:37Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-00ce722f766f48dda4d499e9949541812022-12-22T04:41:09ZengElsevierEnergy Reports2352-48472022-10-018181197Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, ChinaJunkang Song0Wanjiang Wang1Pingan Ni2Hanjie Zheng3Yihuan Zhou4Yongwang Zhang5College of Architectural and Civil Engineering, Xinjiang University, 830017, ChinaCollege of Architectural and Civil Engineering, Xinjiang University, 830017, China; Corresponding author.College of Architecture, Xi’an University of Architecture and Technology, 710000, ChinaCollege of Architecture and Environment, Szechwan University, 610065, ChinaCollege of Architectural and Civil Engineering, Xinjiang University, 830017, ChinaCollege of Architectural and Civil Engineering, Xinjiang University, 830017, ChinaOpening windows for ventilation in summer is an essential means to improve the indoor thermal environment and enhance comfort. At present, there are much researches on the factors affecting the occupants’ window-opening behavior, and the research on their optimization strategies is relatively scarce. This paper selects 13 typical climate cities in Xinjiang, uses LBT to simulate natural ventilation through parametric modeling and conducts experimental verification. The results show that the parametric model has high fitting accuracy (RMSE<0.8, R2>0.9). Subsequent optimization using GA in an optimized solution for summer open windows suitable for all parts of Xinjiang. Southern Xinjiang has the most significant increase in comfort, followed by northern Xinjiang and the smallest in eastern Xinjiang. The most effective (47.3%) is in Korla, southern Xinjiang. Through verification and comparison with related research, the optimized solution has good generalization ability and flexibility. The research results show that the optimal ventilation strategy significantly improves indoor comfort in rural areas in this region. This paper provides an effective tool and idea for studying the aspects of increasing the efficiency of the use of natural ventilation.http://www.sciencedirect.com/science/article/pii/S2352484722009337Energy-saving behaviorWindow-opening behaviorResidential housesNatural ventilationParametric simulationGenetic algorithm |
| spellingShingle | Junkang Song Wanjiang Wang Pingan Ni Hanjie Zheng Yihuan Zhou Yongwang Zhang Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China Energy Reports Energy-saving behavior Window-opening behavior Residential houses Natural ventilation Parametric simulation Genetic algorithm |
| title | Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China |
| title_full | Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China |
| title_fullStr | Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China |
| title_full_unstemmed | Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China |
| title_short | Study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of Xinjiang, China |
| title_sort | study on optimization method of summer nature ventilation for residential buildings in typical thermal zone of xinjiang china |
| topic | Energy-saving behavior Window-opening behavior Residential houses Natural ventilation Parametric simulation Genetic algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722009337 |
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