Modelling and simulation to design multi-storey timber building using multi-objective particle swarm optimisation

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.

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