Alireza Goudarzi - Alborz Campus, University of Tehran
Navid Delgarm - School of Mechanical Engineering, College of Engineering, University of Tehran
Mohammad Ali Akhavan-Behabadi - School of Mechanical Engineering, College of Engineering, University of Tehran
Maryam Sadat Mirnaghi - School of Mechanical Engineering, College of Engineering, University of Tehran

This research paper proposes a new approach to address thesimulation-based multi criteria optimization problems and toovercome important limitations of the optimization of thebuilding energy performance. In this investigation, themulti-objective genetic algorithm (NSGA-II) method iscoupled with EnergyPlus building energy simulationsoftware to find optimum design parameters of exteriorwalls considering the embodied energy which leads toincrease the building energy performance. Based on theresults, concrete and cement block are the best masonrymaterials due to their low embodied energy. In addition, thetype of insulation layer material and its thickness dependson the climatic region.

Embodied energy- EnergyPlus- Multi-objective optimization- Building energy performance