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Optimizing Chiller Plant Energy Savings Using Adaptive DDC Algorithms 采用自适应DDC算法优化冷水机组节能
本文阐述了如何使用从能源管理系统(EMS)收集的实际冷水机组性能数据来调整冷水机组控制,以优化节能。可编程到直接数字控制器(DDC)中的自适应算法应用于三种基本优化控制策略:(1)优化多台冷水机组的分段开/关;(2)优化冷凝器水温;(3)优化存在变速冷冻水泵时的冷冻水温度。冷水机组的分段由冷水机组组合决定,冷水机组组合能够以最低的功率需求满足制冷负荷。冷凝器水温是通过最小化冷却器加上冷却塔风扇功耗之和来获得的。 通过使每种控制策略的冷水机加变速泵功耗之和最小化,获得冷冻水温度,并通过流程图说明DDC控制算法。单位:双引文:研讨会,ASHRAE交易,1988年,第94卷,pt。2、渥太华
This paper illustrates how actual chiller plant performance data collected from an energy management system (EMS) can be used to adapt chiller plant control to optimize energy savings. Adaptive algorithms that can be programmed in to a direct digital controller (DDC) are applied to three basic optimization control strategies: (1) optimizing the staging on or off multiple chillers, (2) optimizing condenser water temperature, and (3) optimizing chilled water temperature when variable-speed chilled water pumps exist. The staging of chillers is determined by the chiller combination that can meet the refrigeration load with the least power requirement. The condenser water temperature is obtained by minimizing the sum of chiller plus cooling tower fan power consumption. The chilled water temperature is obtained by minimizing the sum of chiller plus variable speed pump power consumption For each control strategy, a DDC control algorithm is illustrated by means of a flow chart.Units: Dual
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