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
Link To Document :
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