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Development, implementation and performance of a model predictive controller for packaged air conditioners in small and medium-sized commercial building applications

机译:用于中小型商业建筑应用中的成套空调的模型预测控制器的开发,实施和性能

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摘要

Small and medium sized commercial buildings, such as retail stores, restaurants and factories, often utilize multiple packaged air conditioners, i.e. roof top units (RTUs), to provide cooling and heating for open spaces. A conventional control approach for these buildings relies on local feedback control, where each unit is cycled on and off using its own thermostat. The lack of coordination between RTUs represents a missed opportunity for operating more efficient units when there is strong coupling between the spaces they serve and can lead to unnecessarily high electrical demand due to the inherent randomness of unit cycling. This paper presents an overall model-based predictive control (MPC) approach for RTU coordination that includes a description of the control architecture, modeling approach, implementation, and assessment. We provide results of laboratory and field tests that demonstrate the short-term and long-term performance of the MPC solution in terms of energy and demand savings. (C) 2018 Elsevier B.V. All rights reserved.
机译:中小型商业建筑,例如零售商店,饭店和工厂,经常使用多个包装的空调器,即屋顶单元(RTU),为开放空间提供制冷和制热。这些建筑物的常规控制方法依赖于本地反馈控制,其中每个单元都使用自己的恒温器进行开/关循环。当RTU之间服务空间之间存在较强的耦合时,RTU之间缺乏协调就意味着无法操作更高效的单元,并且由于单元循环的固有随机性,可能导致不必要的高电力需求。本文提出了一种用于RTU协调的整体基于模型的预测控制(MPC)方法,其中包括对控制体系结构,建模方法,实现和评估的描述。我们提供的实验室和现场测试结果证明了MPC解决方案在能源和需求节省方面的短期和长期性能。 (C)2018 Elsevier B.V.保留所有权利。

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