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Interpolation of energy performance data for building design decisions 

Authors: Eleni Primikiri a;  Michael Kokkolaras b; Panos Y. Papalambros b
Affiliations:   a Department of Architecture, University of Patras, Rion, Greece
b Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
DOI: 10.1080/14786450600631400
Publication Frequency: 4 issues per year
Published in: journal International Journal of Sustainable Energy, Volume 25, Issue 2 June 2006 , pages 79 - 88
First Published on: 01 June 2006
Formats available: HTML (English) : PDF (English)
Previously published as: International Journal of Solar Energy (0142-5919) until 2003
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Abstract

In recent years major advances have been made in the development of computational tools for architects to facilitate building performance evaluation. However, most tools require expert knowledge and remain accessible primarily to building engineers or specialized architects. This article presents a methodology of interpolating data for energy analysis to enable easier implementation of building simulation in the design process. Architects and other building project participants can visualize and analyze complex thermal performance of buildings for different design scenarios, requiring little specialized knowledge and without a burdensome computational cost.
Keywords: Data interpolation; Metamodeling; Artificial neural networks; Building design; Velocity magnitude
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