Decision aiding & multi criteria optimization for existing buildings holistic retrofit

Abstract : 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.
Type de document :
Communication dans un congrès
Liste complète des métadonnées

https://hal-mines-paristech.archives-ouvertes.fr/hal-00769827
Contributeur : Bibliothèque Mines Paristech <>
Soumis le : jeudi 3 janvier 2013 - 16:04:53
Dernière modification le : vendredi 19 avril 2019 - 15:20:10

Identifiants

  • HAL Id : hal-00769827, version 1

Citation

Mathieu Rivallain, P. E. Leger, Olivier Baverel, Bruno Peuportier. Decision aiding & multi criteria optimization for existing buildings holistic retrofit. 3rd International Symposium on Life-Cycle Civil Engineering, IALCCE 2012, Oct 2012, Vienne, Austria. pp.1084-1092. ⟨hal-00769827⟩

Partager

Métriques

Consultations de la notice

475