Paper Title:
Design of A GUI Tool for the Prediction of Building Energy Performance
  Abstract

In the present study a GUI tool for the prediction of building energy performance based on a three-layered BP neural network and MATLAB was developed. The inputs for this tool are the 18 building envelope parameters. The outputs are building heating, cooling and total energy consumptions and the energy saving rate. Compared with the complicated mathematical equations, this tool provides a very easy and effective method for students to learn the effects of building envelope performance parameters on the building energy performance. Thus, this tool can be used in building physics and building energy efficiency courses for the design of energy efficient building.

  Info
Periodical
Edited by
Honghua Tan
Pages
2789-2793
DOI
10.4028/www.scientific.net/AMM.29-32.2789
Citation
C. W. Yan, J. Yao, J. Xu, "Design of A GUI Tool for the Prediction of Building Energy Performance", Applied Mechanics and Materials, Vols. 29-32, pp. 2789-2793, 2010
Online since
August 2010
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Price
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