Utilization of intelligent control algorithms for thermal comfort optimization and energy saving

M. Nowak, A. Urbaniak
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引用次数: 27

Abstract

In the paper there are presented the problems of optimal control for indoor thermal comfort in buildings equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. It is very important that the design of such control systems allows to minimize the energy consumption. There are discussed the results of air-conditioning system simulation and there is given an example of simulation model of a room and mathematical model of thermal comfort. Fuzzy control algorithms and model predictive control algorithms are used in the hierarchical structure of climate comfort control system. The tuning of predictive controllers is discussed in the paper, too.
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利用智能控制算法优化热舒适和节能
本文研究了安装了暖通空调系统的建筑室内热舒适的最优控制问题。这是非常重要的,这种控制系统的设计允许最大限度地减少能源消耗。讨论了空调系统的仿真结果,并给出了一个房间的仿真模型和热舒适的数学模型。在气候舒适控制系统的层次结构中,采用了模糊控制算法和模型预测控制算法。本文还讨论了预测控制器的整定问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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