基于遗传算法的写字楼中央空调工程系统冷负荷预测研究  

Research on Cold Load Forecasting of Central Air Conditioning Engineering System of Office Building Based on Genetic Algorithm

作　　者：徐宏林[1] Xu Honglin(China Academy of Chinese Medical Sciences Guanganmen Hospital,Beijing,100053)

机构地区：[1]中国中医科学院广安门医院,北京100053

出　　处：《制冷与空调（四川）》2020年第4期436-441,共6页Refrigeration and Air Conditioning

摘　　要：在经济高速发展的同时,滋生了许多环境污染问题,而问题的根本源于过高的社会总能耗。其中,中央空调在建筑能耗中的比重较大,超过了40%。对目前阶段,许多中央空调存在大惯性和大滞后等问题,导致供冷量过余、能耗浪费的出现。针对此问题,加之为了响应国家节能减排的号召,在遗传算法基础上,对写字楼中央空调工程冷负荷进行了预测研究,为降低资源浪费,增加能源的利用率做出了一定的贡献。At the same time of rapid economic development,many environmental pollution problems have arisen,and the root of the problem stems from the excessive total energy consumption of society.Among them,the central air-conditioning has a large proportion in building energy consumption,exceeding 40%.At the current stage,many central air conditioners have problems such as large inertia and large lag,esulting in excessive cooling and energy consumption.In response to this problem,in order to respond to the national call for energy conservation and emission reduction,based on the genetic algorithm,this paper predicts the cooling load of central air-conditioning project in office buildings,and makes a certain contribution to reduce resource waste and increase energy utilization.

关 键 词：遗传算法 中央空调工程系统 冷负荷 

分 类 号：TP15[自动化与计算机技术—控制理论与控制工程]