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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/5/776 |
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| Summary: | 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. |
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| ISSN: | 2075-5309 |