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Distributed Predictive Optimization of a Building HVAC System 建筑暖通空调系统的分布式预测优化
使用先进的控制策略可以降低建筑物的能耗,但单一的集中控制器往往不切实际。将本地控制的易用性和模块化与集中控制的全系统优势相结合的分布式控制方法具有巨大的潜在积极影响。早期的研究成果是开发了一种分布式优化技术,称为“邻居通信优化”(NC-OPT)。本文将该算法应用于一个多区域建筑空调系统。开发了一种控制架构设计,其中每个区域被视为一个独立的子系统,可变风量系统和水冷却器也是如此。该设计应用于一栋建筑,并使用EnergyPlus软件进行建模和仿真。 NC-OPT方法可成功调节系统设定点,以平衡能源效率和乘员舒适度,包括计算冷水温度重置的新设定点。这种调制是在没有系统集中控制器的情况下实现的,并且仅在相邻子系统之间进行通信。讨论结果和未来工作计划。引文:2015年年度会议,佐治亚州亚特兰大,2015年交易,第121卷。2.
The use of advanced control strategies can result in thereduction of energy consumption in buildings, but a singlecentralized controller is often impractical.A distributed controlapproach that combines the ease and modularity of local controlwith the system-wide benefits of centralized control has significantpotential for positive impact. Earlier research effortsresulted in the development of a distributed optimization techniquereferred to as "neighbor-communication optimization"(NC-OPT). In this paper, the algorithm is applied to a multizonebuilding air-conditioning system.Adesign for the control architectureis developed wherein each zone is treated as a separatesubsystem, as are the variable-air-volume system and the waterchiller. This design is applied to a building modeled and simulatedusing EnergyPlus software. The NC-OPT approach isshown to successfully modulate the system setpoints to balanceenergy efficiency with occupant comfort, including calculatingnew setpoints for chilled-water temperature reset. This modulationis achieved without a centralized controller for thesystems and with communication only between neighboringsubsystems. Discussion of the results and plans for future workare provided.
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