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Towards holistic building optimization using a computing environment that enable interoperability between numerical tools

Abstract : Performance optimization has become a standard approach for the design and control of energy systems. The building sector doesn't escape this trend with very dynamic research activity on the subject. This allows designing more and more efficient buildings that contributes to limit the climate change's effects. Design of buildings is usually based on a sequential approach: reduction of demand improvement of energy efficiency and finally use of renewable energies. A holistic building design approach is more efficient since the optimum of a system can be different from the one obtained by separating its components. It is thus necessary to optimize the design by considering the building as a whole (envelope, system, occupants, and environment) and over its lifetime, particularly in the perspective of the climate change. In this context, there are significant difficulties linked to calculation time, dynamic simulations of the building (envelope and systems), taking into account the climate change, combinatorial explosion related to the decision parameters during the optimization, and inclusion of uncertainties ... It is therefore necessary to use specific methodologies such as the use of surrogate models or parallel computing. The optimization is obviously multi-criteria and the overall optimum must be obtained with a reasonable computing time for an engineering office for example. The performance functions (environment, financial, comfort, reliability ...) can be evaluated with different tools that must be interoperable. In this context, we present a methodology and an environment for the holistic optimization of buildings. This environment allows the interoperability of numerical tools used by engineering offices. Finally, two optimized multi-criteria design case studies (2 test functions and the real building "Les Roches Blanche" in Chambéry) are presented to illustrate the approach and the developed environment.
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Submitted on : Thursday, January 24, 2019 - 12:09:45 PM
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  • HAL Id : hal-01982647, version 1


G. Fraisse, B. Souyri, F. Wurtz, X. Brunotte, P Enciu, et al.. Towards holistic building optimization using a computing environment that enable interoperability between numerical tools. International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Jun 2018, Guimarães, Portugal. ⟨hal-01982647⟩



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