Paper Conference

Proceedings of BauSim Conference 2010: 3rd Conference of IBPSA-Germany and Austria


Coupling TRNSYS and MATLAB for genetic algorithm optimization in sustainable building design

Marcus Jones

Abstract: Incorporating energy efficient features into sustainable buildings is cost effective during the design phase. In designing a sustainable building, the designer is faced with a staggering amount of parameters, conditions, and objectives. However, costs and limited time do not allow the designer to effectively evaluate all candidate building designs. Genetic algorithms are interesting for this problem given their ability to optimize complex multiobjective non-smooth optimization problems. The application of genetic algorithms to the problem of sustainable building design has been developed and will be presented. A method of interfacing TRNSYS and the Matlab genetic algorithm toolbox has been tested by application to two simple energy design problems. The approach of coupling the detailed modeling capabilities of TRNSYS and genetic algorithm routines in Matlab is powerful combination in the search for optimal sustainable building designs.
Pages: 9 - 14