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  • 标题:Model-Based Potential Analysis of Demand-Controlled Ventilation in Buildings
  • 本地全文:下载
  • 作者:K. Ben Jemaa ; P. Kotman ; K. Graichen
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:2
  • 页码:85-90
  • DOI:10.1016/j.ifacol.2018.03.015
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper proposes a model-based framework to estimate the theoretical energy saving potential offered by CO2-based demand-controlled ventilation systems in buildings. For this purpose, the energy consumption of different heating ventilation air conditioning (HVAC) system configurations is compared for different occupancy scenarios. Physics-based models are used to describe the environmental conditions in the building and to estimate the energy consumption of the HVAC system. In order to guarantee optimality, the HVAC system is controlled by an optimal control approach aiming to minimize the energy consumption and to satisfy the comfort requirements.
  • 关键词:KeywordsCO2-based demand controlled ventilationHVAC systemsmodel based controloptimal controlenergy efficient buildingsuser comfort
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