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针对中央空调系统末端空调机组变风量运行方式下,送风风量、冷冻水流量难以根据工况变化进行动态优化的问题,提出了基于遗传算法的空调机组风量水量最优组合优化计算方法,该方法在制冷量和送风温度满足的前提条件下以风机能耗和冷冻水泵能耗总和最小为目标,并采用罚函数法将受表冷器供冷量约束的参数优化问题转化为无约束问题进行求解,简化了优化过程。本文还搭建了小型中央空调系统实验平台,对该优化方法进行了验证。结果表明,测试日内基于参数优化的风机能耗和冷冻水泵能耗总和比定风量运行方式下降了13.38%,比常规变风量运行方式下降了5.02%,具有良好的节能效果,该方法可为中央空调系统空调机组变风量变水量节能运行优化提供有效参考。
Aiming at the problem that air volume and chilled water flow volume are difficult to be dynamically optimized according to the change of working conditions under the variable air volume operation mode of the end air conditioning unit of the central air conditioning system, an optimal combination optimization method of the air volume of the air conditioning unit based on the genetic algorithm is proposed. The objective of minimizing the sum of the energy consumption of the fan and the energy consumption of the chilled water pump is given under the premise of the cooling capacity and air supply temperature being satisfied. The penalty function method is adopted to convert the parameter optimization problem constrained by the cooling capacity of the coolers into an unconstrained problem Solve and simplify the optimization process. This article also set up a small central air conditioning system experimental platform, the optimization method was verified. The results show that the total energy consumption of fan and chilled water pump based on parameter optimization is 13.38% lower than that of constant air volume and 5.02% lower than that of conventional variable air volume during test day, which has a good energy saving effect. The method can be central Air conditioning system air conditioning unit variable air volume variable energy saving operation optimization provide a valid reference.