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It is a challenge to achieve an affordable and energy efficient building renovation that leads to a decrease of the environmental impacts, as many objectives and various renovation actions should be considered. In this study, the many-objective optimisation algorithm NSGA-III is applied, for the first time in building energy. The solutions search process of NGSA-III makes it more efficient when dealing with more than three objectives. It was included in a simulation platform consisting in a dynamic building energy simulation (DBES) tool, a building life cycle assessment (LCA) tool and a cost database, in order to guide the decision towards good energy-environment-cost renovation solutions for a hotel in the Alps. Its application helps identifying good renovation strategies for the hotel. The results robustness to the climate data is then assessed.

Identification Of Energy, Environmental And Economical Optimal Refurbishment Scenarios For Hotels In The Alps