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Éco-conception de maisons à énergie positive assistée par optimisation multicritère

Abstract : Designing plus energy buildings, at lower environmental impact and lower cost, is a complex optimisation problem. In this context, this communication presents an ecodesign approach assisted by multicriteria optimisation of plus-energy house. Illustrated by a real case, this approach uses a genetic algorithm to reach as much as possible the theoretical Pareto front, including solutions corresponding to the best compromise for the formulated problem. The solutions’ performance is evaluated using a dynamic thermal simulation model (COMFIE), a life cycle analysis mode (novaEQUER), and a cost database. A stochastic model was used to generate average occupancy scenarios in more realistic way than conventional approaches. The proposed approach is thus contributing to an aid in decision making, beyond simple evaluation by simulation.
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Contributor : Joelle Andrianarijaona <>
Submitted on : Friday, March 24, 2017 - 2:58:44 PM
Last modification on : Thursday, September 24, 2020 - 4:56:02 PM
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  • HAL Id : hal-01464415, version 1

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T. Recht, M. Robillart, Charles Garnier, P. Schalbart, B. Peuportier. Éco-conception de maisons à énergie positive assistée par optimisation multicritère . Conférence IBPSA France (Conférence Francophone de l'International Building Performance Simulation Association), May 2016, Champs-sur-Marne, France. ⟨hal-01464415⟩

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