Optimisation multicritère et analyse de cycle de vie de bâtiments zéro-énergie

Abstract : This article presents a multicriteria optimization method (criterias of final energy consumption and relative investment costs) based on a genetic algorithm (NSGA-II) coupled with a building performance simulation model (COMFIE). The optimization is applied to a passive house case study based in Bulgaria in the frame of from the european project AZEB (Affordable zero energy building). Designs from different levels of performance have been identified among the Pareto-optimal front and life cycle analysis (LCA, Equer) has been applied to assess their environmental impacts. LCA results analysis steer a recommendation to include an LCA objective function in the optimisation process or to complete optimisation study with LCA in order to identify energy plus solutions that are efficient in terms of cost and environmental impacts, and in order to avoid sub-optimal designs.
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Mija Frossard, Bruno Peuportier, Patrick Schalbart. Optimisation multicritère et analyse de cycle de vie de bâtiments zéro-énergie. IBPSA France: Conférence Francophone de l'International Building Performance, May 2018, Bordeaux, France. ⟨hal-01982633⟩

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