Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players
Excessively pursuing the comfort of the indoor environment in buildings may increase the energy consumption of operating equipment. A non-cooperative game strategy to solve the above-mentioned problem is proposed in this paper, in which multi-comfort and economic objectives are treated as equal virt...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/5/776 |
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| author | Xiyong Bao Zhen Feng Qiao Yan Ruiqi Wang |
| author_facet | Xiyong Bao Zhen Feng Qiao Yan Ruiqi Wang |
| author_sort | Xiyong Bao |
| collection | DOAJ |
| description | Excessively pursuing the comfort of the indoor environment in buildings may increase the energy consumption of operating equipment. A non-cooperative game strategy to solve the above-mentioned problem is proposed in this paper, in which multi-comfort and economic objectives are treated as equal virtual gamers. Firstly, several kinds of electrical equipment in buildings are modeled. Secondly, a visual comfort index is established by measuring the approach, followed by the construction of multi-dimensional comfort expression, including thermal, water, and air quality in indoor environments. Then, based on game theory, the non-cooperative game model of a single entity is built by using economic and multi-comfort objectives as virtual players to avoid subjectivity in multi-objective optimization. To ensure the existence of a Nash equilibrium, the Nikaido–Isoda function is employed to reformulate the payoff function, with strategy spaces allocated based on power differences. Finally, the optimization strategy is solved by using a particle swarm optimization algorithm. The simulation results show that the proposed solution increased comfort by 31.45% and reduced economic costs by 3.89% in comparison to the multi-objective optimization algorithm. |
| format | Article |
| id | doaj-art-7f91b4d3079b4b16b34916c202d7e337 |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-7f91b4d3079b4b16b34916c202d7e3372025-08-20T02:05:09ZengMDPI AGBuildings2075-53092025-02-0115577610.3390/buildings15050776Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game PlayersXiyong Bao0Zhen Feng1Qiao Yan2Ruiqi Wang3Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan 250001, ChinaSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, ChinaSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, ChinaState Grid Shandong Integrated Energy Services Co., Ltd., Jinan 250001, ChinaExcessively pursuing the comfort of the indoor environment in buildings may increase the energy consumption of operating equipment. A non-cooperative game strategy to solve the above-mentioned problem is proposed in this paper, in which multi-comfort and economic objectives are treated as equal virtual gamers. Firstly, several kinds of electrical equipment in buildings are modeled. Secondly, a visual comfort index is established by measuring the approach, followed by the construction of multi-dimensional comfort expression, including thermal, water, and air quality in indoor environments. Then, based on game theory, the non-cooperative game model of a single entity is built by using economic and multi-comfort objectives as virtual players to avoid subjectivity in multi-objective optimization. To ensure the existence of a Nash equilibrium, the Nikaido–Isoda function is employed to reformulate the payoff function, with strategy spaces allocated based on power differences. Finally, the optimization strategy is solved by using a particle swarm optimization algorithm. The simulation results show that the proposed solution increased comfort by 31.45% and reduced economic costs by 3.89% in comparison to the multi-objective optimization algorithm.https://www.mdpi.com/2075-5309/15/5/776buildingsmulti-dimensional comfortvirtual playersnon-cooperative game |
| spellingShingle | Xiyong Bao Zhen Feng Qiao Yan Ruiqi Wang Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players Buildings buildings multi-dimensional comfort virtual players non-cooperative game |
| title | Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players |
| title_full | Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players |
| title_fullStr | Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players |
| title_full_unstemmed | Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players |
| title_short | Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players |
| title_sort | optimization strategy for building electrical devices considering multi comfort and economic virtual game players |
| topic | buildings multi-dimensional comfort virtual players non-cooperative game |
| url | https://www.mdpi.com/2075-5309/15/5/776 |
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