Climate Change Impact on Multi-Objective Optimization: A Case Study on Educational Buildings
The changing weather conditions due to global climate change is expected to have a direct impact on buildings' energy demand and occupant comfort. These conditions are estimated to become more challenging for educational facilities due to their high occupant density and the students' sensitivity to heat. This study aims to present an approach for a comparative analysis for multi-objective optimization results that are projected under different climate change conditions. Two separate optimization processes were performed using NSGA-II for an existing educational building, with the goal of minimizing occupant discomfort and energy use. The differences between the resulting Pareto-sets were analyzed based on the hypervolume difference and statistical evaluations, including the T-test and the distribution of properties. The results of the two optimization processes showed that future weather conditions should be considered on the retrofit process as two Pareto-set have resulted differently in terms of decision variable values and the hypervolume calculation. The discomfort hours (Y1-Current) for optimization with current data resulted in lower values compared to the optimization with projected data (Y1-Projected), on the contrary, the total energy demand (Y2-Current) objective results have resulted in higher values than the projected data results (Y1-Projected).
Şahin Akın, Orçun Koral İşeri, Çağla Meral Akgül, Bilge Erdoğan, İpek Gürsel Dino
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