• Optimizing Architectural and S...

Treffer: Optimizing Architectural and Structural Aspects of Buildings towards Higher Energy Efficiency

Title:
Optimizing Architectural and Structural Aspects of Buildings towards Higher Energy Efficiency
Authors:
Fialho, Álvaro, Hamadi, Youssef, Schoenauer, Marc
Contributors:
Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), École polytechnique (X), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS), Microsoft Research - Inria Joint Centre (MSR - INRIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Microsoft Research Laboratory Cambridge-Microsoft Corporation [Redmond, Wash.], Microsoft Research [Cambridge] (Microsoft), Microsoft Research, Machine Learning and Optimisation (TAO), Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de Saclay, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Source:
GECCO 2011 Workshop on GreenIT Evolutionary Computation, Jul 2011, Dublin, Ireland
Publisher Information:
CCSD, 2011.
Publication Year:
2011
Collection:
collection:X
collection:EC-PARIS
collection:CNRS
collection:INRIA
collection:UNIV-PSUD
collection:LIX
collection:INRIA-SACLAY
collection:X-LIX
collection:X-DEP
collection:X-DEP-INFO
collection:INRIA_TEST
collection:TESTALAIN1
collection:UMR8623
collection:INRIA2
collection:LRI-AO
collection:UNIV-PARIS-SACLAY
collection:UNIV-PSUD-SACLAY
collection:INRIA-ETATSUNIS
collection:INRIA-ROYAUMEUNI
Subject Terms:
[INFO.INFO-AI]Computer Science [cs], Artificial Intelligence [cs.AI]
Subject Geographic:
Dublin, Ireland
Original Identifier:
HAL:
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Access URL:
https://inria.hal.science/inria-00591930
https://inria.hal.science/inria-00591930v1/document
https://inria.hal.science/inria-00591930v1/file/wk1303b-fialho.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.inria.00591930v1
Database:
HAL

Weitere Informationen

In this on-going work, we aim at contributing to the issue of energy consumption by proposing tools to automatically define some aspects of the architectural and structural design of buildings. Our framework starts with a building design, and automatically optimizes it, providing to the architect many variations that minimize, in different ways, both energy consumption and construction costs. The optimization stage is done by the combination of an energy consumption simulation program, EnergyPlus, with a state-of-the-art multi-objective evolutionary algorithm, Hype. The latter explores the design search space, automatically generating new feasible design solutions, which are then evaluated by the energy simulation software. Preliminary results are presented, in which the proposed framework is used to optimize the orientation angle of a given commercial building and the materials used for the thermal insulation of its walls.