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

Abstract

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.