文章基本信息

标题：Application of Distributed Model Predictive Approaches to Temperature and CO 2 Concentration Control in Buildings
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作者：Shalika S.W. Walker ; Warody Lombardi ; Suzanne Lesecq 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：2589-2594
DOI：10.1016/j.ifacol.2017.08.107
语种：English
出版社：Elsevier
摘要：AbstractIn the context of energy consumption reduction, this paper focuses on the application of Model Predictive Control to occupants’ thermal comfort together with indoor air quality control while improving the whole building energy efficiency First, an open-space office split in three zones, located in Cork Institute of Technology, is modeled. A centralized MPC is designed to control the temperature and CO2 concentration in the three zones. Then, a distributed version of the MPC, with three separate local controllers, is considered. Finally, simulation results show that the distributed MPC solution achieves control performance quite close to the centralized version with less computing effort.
关键词：KeywordsModel Predictive ControlcentralizeddistributedRC modelEnergy managementtemperatureCO2concentration