A new approach for the simulation-driven multiobjectiveoptimization of the energy performanceof buildings in the nuclear power plants

This paper presents a new approach for the simulation-based optimization of thebuilding energy performance in the nuclear power plants, which overcomes importantlimitations of the optimization of the buildings. In this research, the multi-objectivegenetic algorithm method is coupled with EnergyPlus building energy simulationsoftware to find optimum design parameters to increase the building energyproductivity. To assess the capability and effectiveness of the proposed approach, thedeveloped method is applied to a single room model, and the effect of buildingarchitectural parameters such as the building orientation, the shading overhang depth,the window size and the glazing material properties on the building energyconsumption are studied in four major climate regions of Iran. In the result section,mono-criterion and multi-criteria optimization analyses of the annual cooling, heating,and lighting electricity consumption are studied to understand the interactions betweenthe objectives and to minimize the total annual building energy demand. The results ofthe multi-objective optimization indicate that the annual heating electricity consumptionmay be increased ۱.۱ to ۷.۱%, however the annual cooling and lighting onesdecreases ۱۵ to ۲۲% and ۰ to ۱.۱%, respectively, in comparison with the baselinemodel. The optimum design leads to ۱.۸ to ۹.۲% decrease of the total annual buildingelectricity demand for four different climate regions of Iran.

کلیدواژه ها:

Building energy performance ، EnergyPlus ، Weighted sum method ، Multi-objectiveoptimization ، NSGA-II.