• DocumentCode
    1975753
  • Title

    Multivariate modeling for a multi-stage green building framework

  • Author

    Kung, Pin ; Chen, Victoria C P ; Robinson, Anthony

  • fYear
    2011
  • fDate
    16-18 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Green building is a sustainable concept to reduce environmental impact. Decision-making for green building is a complex task. We present a multi-stage green building framework that will guide future development of a comprehensive multiple stage, multiple objective (MSMO) decision-making framework. Various software tools can assist in studying components of our multi-stage framework. We seek to simultaneously explore building options via a Design and Analysis of Computer Experiments (DACE) approach that uses experimental design and statistical analysis to uncover multivariate patterns that will provide guidance for green building decisions. DACE is a useful method for studying complex engineering systems, and DACE models will be incorporated into our MSMO framework.
  • Keywords
    decision making; decision support systems; design of experiments; environmental factors; statistical analysis; structural engineering computing; DACE approach; Design and Analysis of Computer Experiments; MSMO framework; complex engineering systems; comprehensive multiple stage multiple objective; decision making framework; environmental impact reduction; experimental design; multi stage green building framework; multivariate modeling; software tools; statistical analysis; Concrete; Cooling; Decision making; Green buildings; Optimization; Software tools; decision-making framework; design of experiments; eQUEST; green building; life cycle cost; multi-stage optimization; multivariate analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Systems and Technology (ISSST), 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    2157-524X
  • Print_ISBN
    978-1-61284-394-0
  • Type

    conf

  • DOI
    10.1109/ISSST.2011.5936878
  • Filename
    5936878