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Research on energy-saving control and optimisation of air conditioning system based on genetic algorithm

机译:基于遗传算法的空调系统节能控制与优化研究

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摘要

Aiming at the unsatisfactory effect of traditional air-conditioning energy consumption control method, an optimisation method of energy reduction control of building air-conditioning system based on genetic algorithm was proposed. Select the corresponding input variables and analyse the correlation between each variable and system energy consumption. The Least Squares Support Vector Machine (LSSVM) method is used to control the air supply, air return temperature and energy conversion between systems. In order to achieve a higher energy saving goal, genetic algorithm is used to optimise the scheme. Through the simulation and experimental test of this method, the results show that the total energy consumption of the optimised air-conditioning system reduces about 23.4 kwh, which verifies the effectiveness of this method.
机译:针对传统空调能耗控制方法的效果不满意,提出了一种基于遗传算法的建筑空调系统能量缩放控制的优化方法。选择相应的输入变量并分析每个变量与系统能量消耗之间的相关性。最小二乘支持向量机(LSSVM)方法用于控制空气供应,空气返回温度和系统之间的能量转换。为了实现更高的节能目标,遗传算法用于优化方案。通过这种方法的仿真和实验测试,结果表明,优化空调系统的总能耗减少了约23.4千瓦时,验证了该方法的有效性。

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