Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables
The objective of this study is to investigate the capabilities of different global sensitivity analysis methods applied to building performance simulation, i.e. Morris, Monte Carlo, Design of Experiments, and Sobol methods. A single-zone commercial building located in Florianópolis, southern Brazil,...
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ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2021
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ojs-article-1055372021-03-12T21:59:21Z Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables Silva, Arthur Santos Ghisi, Enedir building simulation; sensitivity analysis; Morris method; Monte Carlo; Sobol; Design of Experiments The objective of this study is to investigate the capabilities of different global sensitivity analysis methods applied to building performance simulation, i.e. Morris, Monte Carlo, Design of Experiments, and Sobol methods. A single-zone commercial building located in Florianópolis, southern Brazil, was used as a case study. Fifteen inputs related to design variables were considered, such as thermal properties of the construction envelope, solar orientation, and fenestration characteristics. The performance measures were the annual heating and cooling loads. It was found that each method can provide different visual capabilities and measures of interpretation, but, in general, there was little difference in showing the most influent and least influent variables. For the heating loads, the thermal transmittances were the most influent variables, while for the cooling loads, the solar absorptances stood out. The Morris method showed to be the most feasible method due to its simplicity and low computational cost. However, as the building simulation model is still complex and non-linear, the variance-based method such as the Sobol is still necessary for general purposes. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído Universidade Federal de Santa Catarina Universidade Federal de Mato Grosso do Sul CAPES 2021-03-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://seer.ufrgs.br/ambienteconstruido/article/view/105537 Ambiente Construído; v. 21, n. 2 (2021); 89-111 Ambiente Construído; v. 21, n. 2 (2021); 89-111 Ambiente Construído; v. 21, n. 2 (2021); 89-111 1678-8621 1415-8876 eng https://seer.ufrgs.br/ambienteconstruido/article/view/105537/60990 Direitos autorais 2021 Ambiente Construído https://creativecommons.org/licenses/by/4.0 |
| institution |
Universidade Federal do Rio Grande do Sul |
| collection |
OJS |
| language |
eng |
| format |
Online |
| author |
Silva, Arthur Santos Ghisi, Enedir |
| spellingShingle |
Silva, Arthur Santos Ghisi, Enedir Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables |
| author_facet |
Silva, Arthur Santos Ghisi, Enedir |
| author_sort |
Silva, Arthur Santos |
| title |
Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables |
| title_short |
Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables |
| title_full |
Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables |
| title_fullStr |
Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables |
| title_full_unstemmed |
Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables |
| title_sort |
evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables |
| description |
The objective of this study is to investigate the capabilities of different global sensitivity analysis methods applied to building performance simulation, i.e. Morris, Monte Carlo, Design of Experiments, and Sobol methods. A single-zone commercial building located in Florianópolis, southern Brazil, was used as a case study. Fifteen inputs related to design variables were considered, such as thermal properties of the construction envelope, solar orientation, and fenestration characteristics. The performance measures were the annual heating and cooling loads. It was found that each method can provide different visual capabilities and measures of interpretation, but, in general, there was little difference in showing the most influent and least influent variables. For the heating loads, the thermal transmittances were the most influent variables, while for the cooling loads, the solar absorptances stood out. The Morris method showed to be the most feasible method due to its simplicity and low computational cost. However, as the building simulation model is still complex and non-linear, the variance-based method such as the Sobol is still necessary for general purposes. |
| publisher |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído |
| publishDate |
2021 |
| url |
https://seer.ufrgs.br/ambienteconstruido/article/view/105537 |
| work_keys_str_mv |
AT silvaarthursantos evaluationofcapabilitiesofdifferentglobalsensitivityanalysistechniquesforbuildingenergysimulationexperimentondesignvariables AT ghisienedir evaluationofcapabilitiesofdifferentglobalsensitivityanalysistechniquesforbuildingenergysimulationexperimentondesignvariables |
| _version_ |
1709370610810880000 |