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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:
International Journal of Sustainable Energy,
Volume
25,
Issue
2
June
2006
, pages 79
- 88
First Published on:
01 June 2006
Subjects:
Alternative & Renewable Energy Industries;
Alternative Fuels;
Energy Conservation;
Green Buildings;
Power & Energy;
Power Electronics;
Renewable & Sustainable Energy;
Solar Energy;
Sustainable Engineering;
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 |
| view references (11) |

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