Predicting Annual Heating Demand under Sensitivity Analysis

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volume 330)
• Pages: 911-915
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.330.911
• Online since: June 2013
• Authors: Vladimír Geletka, Anna Sedláková
• Keywords: Energy Performance, Regression Dependency, Sensitivity Analysis

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