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Une stratégie d'optimisation des bâtiments efficace et précise basée sur la décomposition en valeurs singulières.

An efficient and accurate building optimization strategy using singular value decomposition.

Numéro : pap. 3458

Auteurs : BAE Y., HORTON W. T.

Résumé

Optimizing the life cycle cost of a building typically involves a large number of variables due to the many options that exist at the time that a building is being designed. Such large-scale optimization problems are often prohibitive within the building industry because of the excessive computational time required by the building energy modeling software; therefore, any optimization studies that are performed during a building design are typically only completed using a small number of variables. To achieve the goal of performing a life cycle building optimization in an acceptable time frame, this paper proposes an accurate and efficient method using singular value decomposition on the design variables. Through the use of singular value decomposition a large number of design variables can be reduced to a smaller subset of design variables that can be solved more quickly by the optimization algorithm. In this paper the authors apply this methodology to a case study of a typical residential building in six separate locations across the U.S. and compare the results with those of the full optimization process over the entire design space.

Documents disponibles

Format PDF

Pages : 8 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : An efficient and accurate building optimization strategy using singular value decomposition.
  • Identifiant de la fiche : 30019300
  • Langues : Anglais
  • Source : 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 11/07/2016

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