Energy efficient control of indoor environments under time-varying multi-parameter uncertainty
To solve the problem that the current indoor environment is affected by a variety of time-varying parameters with large uncertainty and the existing control equipment cannot adaptively adjust the operating power according to the indoor environment, which has caused a great waste of energy, the metho...
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| Language: | zho |
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Hebei University of Science and Technology
2024-12-01
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| Series: | Journal of Hebei University of Science and Technology |
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| Online Access: | https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202406004?st=article_issue |
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| _version_ | 1841559996928622592 |
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| author | Jianhao ZHAO Hua SONG Xinyuan NAN Xin CAI |
| author_facet | Jianhao ZHAO Hua SONG Xinyuan NAN Xin CAI |
| author_sort | Jianhao ZHAO |
| collection | DOAJ |
| description | To solve the problem that the current indoor environment is affected by a variety of time-varying parameters with large uncertainty and the existing control equipment cannot adaptively adjust the operating power according to the indoor environment, which has caused a great waste of energy, the method of integrating the prioritized experience replay (PER) into the deep deterministic policy gradient (DDPG) is adopted. Prioritized experience replay (PER) in DDPG is used to rationally and optimally control the power of the equipment for indoor air quality (IAQ) and thermal comfort. Experiments show that the proposed DDPG-PER algorithm can control the indoor environment within the required range by combining multiple time-varying parameters under different outdoor air quality conditions in winter and summer seasons. Moreover, compared with the fixed-air-volume control system, it reduces the energy cost by 13.30%, and saves about 2 000 RMB of electricity cost in a whole year, which is valuable for China’s "carbon-neutral" strategy and the development of green and low-carbon buildings. |
| format | Article |
| id | doaj-art-cd4fabf290c747de90f079ba4237ce55 |
| institution | Kabale University |
| issn | 1008-1542 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Hebei University of Science and Technology |
| record_format | Article |
| series | Journal of Hebei University of Science and Technology |
| spelling | doaj-art-cd4fabf290c747de90f079ba4237ce552025-01-05T06:35:22ZzhoHebei University of Science and TechnologyJournal of Hebei University of Science and Technology1008-15422024-12-0145659760810.7535/hbkd.2024yx06004b202406004Energy efficient control of indoor environments under time-varying multi-parameter uncertaintyJianhao ZHAO0Hua SONG1Xinyuan NAN2Xin CAI3No. 1 Department of Polyolefin of Dushanzi Petrochemical Company, Karamay,Xinjiang 833699, ChinaXinjiang Architectural Design and Research Institute, Urumqi, Xinjiang 830002,ChinaSchool of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017,ChinaSchool of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017,ChinaTo solve the problem that the current indoor environment is affected by a variety of time-varying parameters with large uncertainty and the existing control equipment cannot adaptively adjust the operating power according to the indoor environment, which has caused a great waste of energy, the method of integrating the prioritized experience replay (PER) into the deep deterministic policy gradient (DDPG) is adopted. Prioritized experience replay (PER) in DDPG is used to rationally and optimally control the power of the equipment for indoor air quality (IAQ) and thermal comfort. Experiments show that the proposed DDPG-PER algorithm can control the indoor environment within the required range by combining multiple time-varying parameters under different outdoor air quality conditions in winter and summer seasons. Moreover, compared with the fixed-air-volume control system, it reduces the energy cost by 13.30%, and saves about 2 000 RMB of electricity cost in a whole year, which is valuable for China’s "carbon-neutral" strategy and the development of green and low-carbon buildings.https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202406004?st=article_issueenvironmental quality monitoring and assessment; reinforcement learn; ddpg; per; energy saving control |
| spellingShingle | Jianhao ZHAO Hua SONG Xinyuan NAN Xin CAI Energy efficient control of indoor environments under time-varying multi-parameter uncertainty Journal of Hebei University of Science and Technology environmental quality monitoring and assessment; reinforcement learn; ddpg; per; energy saving control |
| title | Energy efficient control of indoor environments under time-varying multi-parameter uncertainty |
| title_full | Energy efficient control of indoor environments under time-varying multi-parameter uncertainty |
| title_fullStr | Energy efficient control of indoor environments under time-varying multi-parameter uncertainty |
| title_full_unstemmed | Energy efficient control of indoor environments under time-varying multi-parameter uncertainty |
| title_short | Energy efficient control of indoor environments under time-varying multi-parameter uncertainty |
| title_sort | energy efficient control of indoor environments under time varying multi parameter uncertainty |
| topic | environmental quality monitoring and assessment; reinforcement learn; ddpg; per; energy saving control |
| url | https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202406004?st=article_issue |
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