A morpho-energetic tool to model energy and density reasoned city areas (WIP): methodology (part I)

  • Authors:

  • L. Arantes;O. Baverel;D. Quenard;N. Dubus

  • Affiliations:

  • UR AE&CC, Ecole Nationale Supéérieure d'Architecture de Grenoble, BP and Centre Scientifique et Technique du Bâtiment (CSTB), Saint Martin d'Hères;UR AE&CC, Ecole Nationale Supéérieure d'Architecture de Grenoble, BP and UR Navier, École des Ponts ParisTech, Cité Descartes, Marne-la-Vallée cedex;Centre Scientifique et Technique du Bâtiment (CSTB), Saint Martin d'Hères;UR AE&CC, Ecole Nationale Supéérieure d'Architecture de Grenoble, BP

  • Venue:
  • Proceedings of the 2012 Symposium on Simulation for Architecture and Urban Design
  • Year:
  • 2012

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Abstract

This paper presents an urban modeling tool that analyzes the morphology of low energy and dense city areas. Even if the link between building form and energy has been established, the correlation is less obvious at the urban scale. The density of grouped buildings introduces a significant new issue for consideration. Maximizing energy production in urban environments requires the minimization of sun shading. The tool we describe in the paper below relates three parameters: density, energy performance and sun penetration. By optimizing population density, the tool proposes to find the optimal building layout in a city area from sun shading and energy performance criteria. The optimization is accomplished with the genetic algorithm tool Bianca. Our ultimate goal in the development of the tool is to find the optimal form(s) of a low energy and dense city area.