USING BUILDING SIMULATION AND OPTIMISATION TO CALCULATE CONTROL LOOKUP TABLES OFFLINE

USING BUILDING SIMULATION AND OPTIMISATION TO CALCULATE CONTROL LOOKUP TABLES OFFLINE
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使用建筑模拟和优化来离线计算控制查找表

DOI:
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发表时间:
2011
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通讯作者:
B. Coffey
B. Coffey
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作者:
B. Coffey

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模型预测控制(MPC)在控制器中使用系统模型和优化算法,在给定当前和预测天气、占用率和其他条件的情况下,计算每个时间步长的最佳设定点。它是一种在其他领域已建立的技术,并已受到越来越多的关注,建筑研究人员,但尚未找到它的方式成为共同的做法,在这一领域。本文提出了一种改进的方法,使用预先计算的最佳设定点在网格的可能条件和插值的结果查找表的实时控制。方法的细节被认为是和范围的适用性和相对性能进行了讨论,参考案例研究。还介绍了这种方法的开源软件。希望这些方法和软件能为研究人员、设计人员和运营商提供一种实用的方法,为低能耗建筑设计更好的监督控制。
Model Predictive Control (MPC) uses a system model and optimisation algorithm within the controller, calculating the best set-points at each time step given the current and predicted weather, occupancy, and other conditions. It is an established technique in other fields and has been receiving growing attention by buildings researchers, but has yet to find its way into common practice in this field. This paper presents a modified approach that uses pre-calculation of optimal setpoints over a grid of possible conditions and interpolation of the resulting lookup table for real-time control. Methodological details are considered and the range of applicability and relative performance is discussed, referencing case studies. Open-source software for this approach is also presented. It is hoped that the methods and software will provide researchers, designers and operators with a practical way to devise better supervisory controls for low-energy buildings.