Integrated building control based on occupant behavior pattern detection and local weather forecasting

Bing Dong, Khee Poh Lam, Charles P. Neuman

Research output: Contribution to conferencePaper

36 Scopus citations

Abstract

Standard office building control systems operate the heating, ventilating, and air conditioning on a fixed schedule, based upon anticipated occupancy and use of the building. This study introduces and illustrates a method for integrated building heating, cooling and ventilation control to reduce energy consumption and maintain indoor temperature set points, based on the prediction of occupant behaviour patterns and local weather conditions. The experiment test-bed is setup in the Solar Decathlon House (2005), with over 100 sensor points. The results show that there is a 17.8% measured energy reduction in the cooling season test case.

Original languageEnglish (US)
Pages193-200
Number of pages8
StatePublished - Dec 1 2011
Externally publishedYes
Event12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011 - Sydney, NSW, Australia
Duration: Nov 14 2011Nov 16 2011

Conference

Conference12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011
CountryAustralia
CitySydney, NSW
Period11/14/1111/16/11

ASJC Scopus subject areas

  • Computer Science Applications
  • Building and Construction
  • Architecture
  • Modeling and Simulation

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  • Cite this

    Dong, B., Lam, K. P., & Neuman, C. P. (2011). Integrated building control based on occupant behavior pattern detection and local weather forecasting. 193-200. Paper presented at 12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011, Sydney, NSW, Australia.