Integration of phasing on multi-objective optimization of building stock energy retrofit
Intégration du phasage dans l'élaboration de stratégies optimales de réhabilitation des parcs de bâtiments
Résumé
This article presents the integration of phasing (ie. temporal distribution of retrofit actions over time) into multi-objective optimization of retrofit. The aim of this method is to get closer to real world practice in the construction sites. The case study is carried out on a small building stock with the NSGA-II genetic algorithm. The search space of the optimization are vertical and horizontal walls and windows of each Highlights Optimal retrofit plans for building stocks are generated using genetic algorithm The phasing of retrofit actions is integrated in the optimisation search space Results show that proposed optimal strategies are different when phasing is integrated
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