DESIGN DAY SELECTION BASED ON MULTIOBJECTIVE OPTIMIZATION

Abstract

Assuring interior comfort in the attempt to realize an energy economy is a very important task, without which, the design of a new modern building is not even conceivable. The annual climatic variations have a big influence on the energy consumptions of buildings, where it is necessary to know how is the building’s energetic behavior through a whole year providing an important basis for the design. The building’s behavior simulation becomes valuable technique to understand and optimize enormous challenges. It depends on the values of yearly meteorological parameters variations. However in this case we have to do a lot of simulations, which is a time consuming process. In this work, we present an overview on the design day notion and we propose a new method for selecting the design day, to study the building comfort, using the nondominated sorting genetic algorithm II “NSGA-II” for optimizing simultaneously the climatic criteria.