Sensitivity Analysis of Envelope Design for Rural Dwellings in Cold Regions of China: An Orthogonal Experiment-Based Approach

To improve the energy efficiency and indoor environmental quality of rural dwellings in China’s cold regions, this study selected a typical rural dwelling in Linyi, Shandong Province, as a case study. Integrating field measurements with parametric simulations, the Orthogonal Experimental Design method was employed to systematically evaluate the impacts of 12 envelope design parameters on building energy demand (EDtot, EDH, EDC), thermal comfort (PNTave), daylight performance (UDIave), and economic outcomes (retrofit cost and return on investment, ROI). Three sets of orthogonal experiments with varying value ranges (Case 1–3) were conducted. The results revealed that U-Window and SHGC are the most critical factors influencing energy demand and thermal comfort, while light transmittance (Trans) exerts the greatest influence on daylighting. The economic analysis demonstrated that window material is the primary determinant of retrofit costs, whereas building depth and the south window-to-wall ratio (WWR-South) significantly affect ROI. Additional range and variance analyses quantified the significance of each parameter and revealed nonlinear influence patterns. This research provides data support and decision-making references for the energy-efficient retrofit and multi-objective optimization of rural dwellings in cold regions, offering strong practical implications.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-10-14
DOI
https://doi.org/10.3390/buildings15203703
Citations
2
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
2.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensitivity Analysis of Envelope Design for Rural Dwellings in Cold Regions of China: An Orthogonal Experiment-Based Approach

Tao Zhang, Zhuangqing Jiao, Yuechen Duan, Weijun Gao et al.
2 citations
Buildings
Building Energy and Comfort Optimization
2.01
article

Sensitivity Analysis of Envelope Design for Rural Dwellings in Cold Regions of China: An Orthogonal Experiment-Based Approach

Tao Zhang, Zhuangqing Jiao, Yuechen Duan, Weijun Gao, Yuanyuan Wei, Yuhang Yang
article en
2 citations

Abstract

To improve the energy efficiency and indoor environmental quality of rural dwellings in China’s cold regions, this study selected a typical rural dwelling in Linyi, Shandong Province, as a case study. Integrating field measurements with parametric simulations, the Orthogonal Experimental Design method was employed to systematically evaluate the impacts of 12 envelope design parameters on building energy demand (EDtot, EDH, EDC), thermal comfort (PNTave), daylight performance (UDIave), and economic outcomes (retrofit cost and return on investment, ROI). Three sets of orthogonal experiments with varying value ranges (Case 1–3) were conducted. The results revealed that U-Window and SHGC are the most critical factors influencing energy demand and thermal comfort, while light transmittance (Trans) exerts the greatest influence on daylighting. The economic analysis demonstrated that window material is the primary determinant of retrofit costs, whereas building depth and the south window-to-wall ratio (WWR-South) significantly affect ROI. Additional range and variance analyses quantified the significance of each parameter and revealed nonlinear influence patterns. This research provides data support and decision-making references for the energy-efficient retrofit and multi-objective optimization of rural dwellings in cold regions, offering strong practical implications.

BuildingsVol. 15(20)
The University of Kitakyushu (JP), Jiaxing University (CN), Qingdao University of Technology (CN)
Natural Science Foundation of Qingdao
Openalex Percentile: Top 12%
Building Energy and Comfort Optimization
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.