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Research Article

An efficient sensitivity analysis for energy performance of building envelope: A continuous derivative based approach

Ainagul Jumabekova1,3( ), Julien Berger2, Aurélie Foucquier3
University of Grenoble Alpes, University of Savoie Mont Blanc, UMR 5271 CNRS, LOCIE, 73000 Chambéry, France
LaSIE, La Rochelle University, CNRS, UMR 7356, 17000 La Rochelle, France
University of Grenoble Alpes, CEA, LITEN, DTS, INES, F-38000, Grenoble, France
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Abstract

Within the framework of building energy assessment, this article proposes to use a derivative based sensitivity analysis of heat transfer models in a building envelope. Two, global and local, estimators are obtained at low computational cost, to evaluate the influence of the parameters on the model outputs. Ranking of these estimators values allows to reduce the number of model unknown parameters by excluding non-significant parameters. A comparison with variance and regression-based methods is carried out and the results highlight the satisfactory accuracy of the continuous-based approach. Moreover, for the carried investigations the approach is 100 times faster compared to the variance-based methods. A case study applies the method to a real-world building wall. The sensitivity of the thermal loads to local or global variations of the wall thermal properties is investigated. Additionally, a case study of wall with window is analyzed.

Keywords

sensitivity analysisheat transfercontinuous derivative based approachparameter estimation problemDuFort-Frankel numerical schemesensitivity coefficients

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Building Simulation
Volume 14 Issue 4,
August 2021
Pages 909-930
DOI: 10.1007/s12273-020-0712-4
Cite this article:
Jumabekova A, Berger J, Foucquier A. An efficient sensitivity analysis for energy performance of building envelope: A continuous derivative based approach. Building Simulation, 2021, 14(4): 909-930. https://doi.org/10.1007/s12273-020-0712-4

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Received: 13 April 2020
Accepted: 17 August 2020
Published: 19 October 2020
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020
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