Predicting Annual Heating Demand under Sensitivity Analysis

The quality of most buildings may be affected during the initial phase of architectural design. It is therefore to optimize input parameters, which significantly influence energy efficiency. In principle it is possible to speak of a deterministic approach, which consider the input parameters to be f...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 330; pp. 911 - 915
Main Authors Geletka, Vladimír, Sedláková, Anna
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.06.2013
Subjects
Energy Performance
Regression Dependency
Sensitivity Analysis
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Summary:The quality of most buildings may be affected during the initial phase of architectural design. It is therefore to optimize input parameters, which significantly influence energy efficiency. In principle it is possible to speak of a deterministic approach, which consider the input parameters to be fixed or a stochastic approach, which takes a wider set of input parameters into account. A single-storey house is evaluated in terms of energy performance in the initial phase of building design, where input parameters are changed in order to determine a correlation coefficient. The methodology is based on a sensitivity analysis (SA) and MonteCarlo simulation based on a stochastic random selection. Regression (RA) were written to express the impact architectural design has on energy performance. Feedback from the regression model estimates annual heating demand of single storey house.
Bibliography:Selected, peer reviewed papers from the 2nd International Conference on Materials Engineering and Automatic Control (ICMEAC 2013), May 18-19, 2013, Shandong, China
ISBN:9783037857250
3037857250
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.330.911