Paper Conference

Proceedings of eSim 2008: 5th Conference of IBPSA-Canada

     

BUILDING FOOTPRINT OPTIMIZATION FOR TWO IRANIAN CITIES VIA GENETIC ALGORITHM APPLICATION

S. Lajevardi, M. Saidi, M. Anooshahpour

Abstract: A genetic algorithm (GA) is an optimization means for green building design that has often been applied to 'green' designs. In this study, we concentrate on the optimization of building footprints with a multiobjective GA (MOGA). The GA is employed to generate feasible solutions simulated in terms of thermal behaviour, using the DOE2.2 as a detailed thermal analysis program. The simulation's results are then used to guide the GA search towards optimal trade-offs between reductions in energy consumption, during building operation, and the size of building perimeter for reducing the initial cost of material. The case-study involves three 1000m 2 polygonalshaped (quadrilateral, pentagonal and hexagonal) areas, as standard office buildings, located within two climatically-different Iranian cities, North Tehran and Bushehr. The MOGA results demonstrate that there exists significant difference amongst the optimal shapes and perimeter sizes-between the two climatesinvestigated in our study.
Pages: 212 - 218
Paper:
esim2008_212_218