Decision aiding & multi criteria optimization for existing buildings holistic retrofit
Résumé
n most developed countries, existing building stocks energy retrofit represents a major lever towards energy consumptions mitigation. Yet, the identification of optimal retrofit programs, including actions planning, is still a difficult task for professionals. The present paper is a contribution to decision aiding through multi criteria optimization of energy retrofit programs. A multi criteria genetic algorithm (NSGA-II) is used to optimize retrofit programs on both their content and planning. The retrofit measures address building envelopes and the replacement of equipment. The objective functions target environmental impacts, financial indicators and occupants' well-being, on building life cycle. This method and tool contribute to decision aiding by identifying Pareto non dominated holistic retrofit programs, at a building scale, on a multi criteria basis, over life cycle.