Intelligent optimal control of thermal comfort using response surface method

Akihiro Kato, Toshiharu Ikaga, Shuzo Murakami, Hiroaki Tsutsui, Haruka Ueda

Research output: Contribution to conferencePaper

Abstract

Optimal control of HVAC system is required because of its considerable influence on workplace-productivity, health and global environment. In this study, we developed an optimal HVAC control system using Response Surface Method by Spline, which calculates optimal control conditions on the basis of cause-and-effect model of thermal comfort, outdoor environment and control parameters created by building's operational data. Experimental study was conducted to verify the effectiveness of developed method by applying it on optimization problem of thermal comfort in several zones. We concluded that our method is practicable and efficient to achieve multi-objective optimization control on HVAC system.

Original languageEnglish
Publication statusPublished - 2009 Dec 1
Event9th International Healthy Buildings Conference and Exhibition, HB 2009 - Syracuse, NY, United States
Duration: 2009 Sep 132009 Sep 17

Other

Other9th International Healthy Buildings Conference and Exhibition, HB 2009
CountryUnited States
CitySyracuse, NY
Period09/9/1309/9/17

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Keywords

  • Leaning ability
  • Optimization
  • Predicted Mean Vote
  • Response Surface Method
  • Variable air volume

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Kato, A., Ikaga, T., Murakami, S., Tsutsui, H., & Ueda, H. (2009). Intelligent optimal control of thermal comfort using response surface method. Paper presented at 9th International Healthy Buildings Conference and Exhibition, HB 2009, Syracuse, NY, United States.