ARMAND-DECKER, Stephanie; NDIAYE, Amadou; SEMPEY, Alain; GALIMARD, Philippe; PAULY, Marie; LAGIERE, Philippe; BOS, Frederic

Métadonnées

Afficher la notice complète

Licence d’utilisation du document

ARMAND-DECKER, Stephanie
Institut de Mécanique et d'Ingénierie [I2M]

NDIAYE, Amadou
Institut de Mécanique et d'Ingénierie [I2M]

SEMPEY, Alain

Université de Bordeaux [UB]
Institut de Mécanique et d'Ingénierie [I2M]

Langue

Communication dans un congrès

Ce document a été publié dans

The International Workshop on Simulation for Energy, Sustainable Development & Environment, 2014-09-10, Bordeaux. 2014-09-10

Résumé en anglais

In order to promote multi-storey timber building projects, a preliminary design methodology with optimisation step and decision-making support is proposed. The objective is to optimise building envelope composition taking into account trade-off between heating needs, summer thermal comfort, floor vibration comfort, global warming potential and embodied energy objectives. These objectives, that are conflicting and can implement in the same time continuous and discrete variables, will be then modelled as objective functions to be optimised in multi-objective manner. To obtain thermal objectives, a time consuming option is to couple an optimiser with a detailed simulation models. Another alternative is to generate meta-models and implement them directly to the optimiser as objective-functions. The multi-objective optimisation will be achieved using the metaheuristic Particle Swarm Optimisation (PSO) to determine the Pareto front of optimised solutions. A case-study is explored using two thermal meta-models. A Pareto front is obtained and analysed.< Réduire

Mots clés en anglais

Multi-objective optimisation

Energy simulation

Meta-model

Particle Swarm Optimisation

URI

https://oskar-bordeaux.fr/handle/20.500.12278/201313

Project ANR

INEF4 - ANR-10-IEED-0013

Unités de recherche

Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295