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Distributed Predictive Optimization of a Building HVAC System

机译：建筑物HVAC系统的分布式预测优化

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摘要

The use of advanced control strategies can result in the reduction of energy consumption in buildings, but a single centralized controller is often impractical. A distributed control approach that combines the ease and modularity of local control with the system-wide benefits of centralized control has significant potential for positive impact. Earlier research efforts resulted in the development of a distributed optimization technique referred to as "neighbor-communication optimization " (NC-OPT). In this paper, the algorithm is applied to a multizone building air-conditioning system. A design for the control architecture is developed wherein each zone is treated as a separate subsystem, as are the variable-air-volume system and the water chiller. This design is applied to a building modeled and simulated using EnergyPlus software. The NC-OPT approach is shown to successfully modulate the system setpoints to balance energy efficiency with occupant comfort, including calculating new setpoints for chilled-water temperature reset. This modulation is achieved without a centralized controller for the systems and with communication only between neighboring subsystems. Discussion of the results and plans for future work are provided.
机译：使用高级控制策略可以减少建筑物的能源消耗，但是单个集中式控制器通常是不切实际的。分布式控制方法将本地控制的简便性和模块化与集中控制在系统范围内的优势相结合，具有产生积极影响的巨大潜力。早期的研究工作导致开发了一种称为“邻居通信优化”（NC-OPT）的分布式优化技术。本文将该算法应用于多区域建筑空调系统。开发了一种控制体系结构的设计，其中每个区域都与可变风量系统和冷水机一样被视为一个单独的子系统。该设计应用于使用EnergyPlus软件建模和仿真的建筑物。已显示NC-OPT方法成功地调节了系统设定点，以平衡能效和乘员舒适度，包括计算用于重置冷水温度的新设定点。无需系统的集中控制器且仅在相邻子系统之间进行通信即可实现这种调制。提供了有关结果和未来工作计划的讨论。

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  • 来源
    《ASHRAE Transactions》 |2015年第2期|191-202|共12页
  • 作者

    Matthew Elliott; Bryan Rasmussen;

  • 作者单位

    Stingray Offshore Solutions, Houston, TX;

    Texas A&M University, College Station, TX;

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  • 正文语种 eng
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