摘要
文章以某大型公用建筑的多冷水机组系统为研究对象,使用现场采集的机组各参数数据,建立各机组的能效比(COP)与部分负荷率(PLRCL)的数学模型。设置机组总能耗为目标函数,建筑所需冷负荷与机组运行限制为约束条件,使用遗传算法对该有约束的问题寻优,并得到机组负荷分配的优化控制策略。在相同运行时间内将优化的控制策略与机组原有的控制策略相比较,优化策略的总能耗降低约13.9%,具有良好的节能效果。
This paper takes the multi-chiller system of a large public building as the research object, and uses the parameters and data collected in the field to establish the mathematical model of the coefficient of performance(COP) and partial load ratio(PLRCL) of each unit. The total energy consumption of the unit is set as the objective function, the cooling load required by the building and the unit operation constraints are taken as constraints, the constrained problem is optimized by genetic algorithm, and the optimal control strategy of unit load distribution is obtained. Compared with the original control strategy of the unit in the same operating time, the total energy consumption of the optimization strategy is reduced by about 13.9%, which has a good energy-saving effect.
出处
《科技创新与应用》
2022年第5期147-149,154,共4页
Technology Innovation and Application
关键词
多冷水机组
遗传算法
负荷分配
控制策略
multi-chiller system
genetic algorithm
load allocation
control strategy
