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  • 标题:Distributed Model Predictive Control applied to a VAV based HVAC system based on Sensitivity Analysis
  • 本地全文:下载
  • 作者:Tejaswinee Darure ; Vicenç Puig ; Joseph Yamé
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:20
  • 页码:259-264
  • DOI:10.1016/j.ifacol.2018.11.023
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper proposes a distributed model predictive control strategy for a HVAC system that relies on its decomposition into subsystems based on the sensitivity analysis. An economic model predictive controller is implemented for every subsystem to optimize the operational cost of the building without compromising the thermal comfort of the occupants. Also, this work demonstrates the coordination strategy between the subsystem controllers using the sensitivity analysis approach. A discussion about the coordination strategy with the convergence property is provided. Finally, the proposed approach is illustrated using the benchmark building that considers the weather of Nancy, France.
  • 关键词:KeywordsVAV type HVAC systemDistributed Mode Predictive ControlEnergy Optimization
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