Integration of monte carlo simulation and genetic algorithms for sustainable designs analysis

Document Type

Conference Proceeding

Publication Date

1-1-2014

Abstract

In pursuit of sustainable buildings, construction professionals must overcome the challenge of selecting a combination of building assemblies and materials that satisfy all project objectives, including sustainability. Optimization techniques have been used in the selection process of optimal or near optimal solutions on the basis of multiple building objectives, such as project cost, duration, and environmental effects. SimulEICon is a tool that can aid researchers in understanding relationships among multiple project objectives. In addition, the tool can help design and construction professionals properly select building materials and components. SimulEICon is applied to a case study that includes the construction of the building envelope. The results show that, at least in theory, there does not exist a design solution that is clearly dominating and always chosen in different scenarios using Monte Carlo simulation. In addition, trade-off relationships mostly are observed between time and cost, as well as time and CO2 emissions. It is interesting to observe that the case study shows a nontrade-off behavior between cost and CO2 emissions in many cases. Certainly, future studies are needed to verify these observations further. © 2014 American Society of Civil Engineers.

Publication Source (Journal or Book title)

Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress

First Page

699

Last Page

708

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