Sensitivity Analysis of Parameters Affecting Building Energy Consumption Across Climate Zones

The parameters that govern building energy consumption must be identified for reducing discrepancies between simulated and measured performance.How climatic conditions affect parameter sensitivity was examined by analyzing specific parameters among three representative Koppen-Geiger climate zones; tropical (Ho Chi Minh City), cold (Seoul), and polar (King Sejong Station).Seven parameters were evaluated using the Morris and Sobol methods.Electric equipment and light densities were consistently the most sensitive in all locations, indicating that the main annual electricity usage was internal heat gains.The coefficient of performance (COP) strongly influenced heating-dominant locations.The sensitivity rankings were consistent between the methods.The close agreement observed between the first-order and total Sobol indices suggested that the effects of the independent parameters accounted for the majority of the variations in the output.

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Publication Details

Journal
Journal of the Korean Solar Energy Society
Published
2025-12-30
DOI
https://doi.org/10.7836/kses.2025.45.6.081
Primary Topic
Building Energy and Comfort Optimization
Type
article
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article

Sensitivity Analysis of Parameters Affecting Building Energy Consumption Across Climate Zones

Dae Uk SHIN, Yubin Lee, Mijeong Choi, Yujin Lee
Journal of the Korean Solar Energy Society
Building Energy and Comfort Optimization
article

Sensitivity Analysis of Parameters Affecting Building Energy Consumption Across Climate Zones

Dae Uk SHIN, Yubin Lee, Mijeong Choi, Yujin Lee
article en

Abstract

The parameters that govern building energy consumption must be identified for reducing discrepancies between simulated and measured performance.How climatic conditions affect parameter sensitivity was examined by analyzing specific parameters among three representative Koppen-Geiger climate zones; tropical (Ho Chi Minh City), cold (Seoul), and polar (King Sejong Station).Seven parameters were evaluated using the Morris and Sobol methods.Electric equipment and light densities were consistently the most sensitive in all locations, indicating that the main annual electricity usage was internal heat gains.The coefficient of performance (COP) strongly influenced heating-dominant locations.The sensitivity rankings were consistent between the methods.The close agreement observed between the first-order and total Sobol indices suggested that the effects of the independent parameters accounted for the majority of the variations in the output.

Journal of the Korean Solar Energy SocietyVol. 45(6)
Kunsan National University (KR)
Climate action
Openalex Percentile: Top 36%
Building Energy and Comfort Optimization
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