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Contribution à la conception énergétique de quartiers : simulation, optimisation et aide à la décision

Abstract : The integration of the research of energy efficiency into urban development projects is essential in the current context of energy and environmental transition. In order to reduce the energy footprint of a district already starting from the design phase, a set of contributions was elaborated to support the planners in this process. The DIMOSIM simulation platform (DIstrict MOdeller and SIMulator) has been developed to dynamically model and simulate the energy flows of a district located within its urban environment. The design of the district is optimized using a multi-objective procedure combining energy, economic and environmental aspects to ensure the best overall performance. A cross-cutting, multi-level approach integrating the NSGA-II genetic algorithm was implemented in order to adapt the procedure to the specificities of the problem. The selection of the preferred solution is then facilitated by the use of a multicriteria analysis method which was developed to provide a detailed evaluation of the different concepts : the outranking method ATLAS (Assistance TooL for decision support to assessment And Sort). Finally, the complete procedure dedicated to the district energy system design was applied to eco-district projects in order to validate its correct operation and also to provide the necessary support to decision-makers.
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Submitted on : Thursday, March 29, 2018 - 5:00:07 PM
Last modification on : Tuesday, October 20, 2020 - 10:59:19 AM


Version validated by the jury (STAR)


  • HAL Id : tel-01753803, version 1



Nicolas Perez. Contribution à la conception énergétique de quartiers : simulation, optimisation et aide à la décision. Génie civil. Université de La Rochelle, 2017. Français. ⟨NNT : 2017LAROS017⟩. ⟨tel-01753803⟩



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