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Energy management of multi-zone buildings based on multi-agent control and particle swarm optimization

机译:基于多智能体控制和粒子群算法的多区域建筑物能源管理

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Intelligent buildings are a trend of next-generation's buildings, which facilitate intelligent control of the building in order to fulfill occupants' comfort demands. The primary objective in building control is to achieve a comfortable building environment with high energy efficiency. By dividing the whole building into several zones, a multi-zone building model is built for developing an effective energy and comfort management scheme. This study proposes a multi-agent control system coupled with an intelligent optimizer for intelligent building control. Particle swarm optimization (PSO) is utilized to optimize the building energy management by enhancing the intelligence of the multi-zone building during its operations. A case study of multi-zone building control is carried out and the corresponding simulation results are presented in this paper.
机译:智能建筑是下一代建筑的趋势,它促进了对建筑的智能控制,从而满足了居住者的舒适需求。建筑控制的主要目标是实现具有高能效的舒适建筑环境。通过将整个建筑分为几个区域,建立了一个多区域建筑模型,以开发有效的能源和舒适度管理方案。这项研究提出了一种多智能体控制系统,并结合了用于智能建筑控制的智能优化器。粒子群优化(PSO)用于通过增强多区域建筑物在运行过程中的智能来优化建筑物的能源管理。进行了多区域建筑控制的案例研究,并给出了相应的仿真结果。

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