Work

Regional Sensitivity Analysis for Multi-Performance Optimization of Rural Dwellings: A Case Study in Tianjin

Year: 2026

Type: article

Abstract: With the advancement of building energy efficiency simulation technology, sensitivity analysis has become increasingly important in optimizing architectural design. This study examines typical rural dwellings in the Beijing–Tianjin–Hebei region, using Regional Sensitivity Analysis (RSA) to assess how design parameters affect energy consumption, carbon emissions, costs, and thermal comfort. Eleven parameters were analyzed through 1,000 simulations, including insulation type, envelope geometry, and photovoltaic configuration. Eave depth showed the highest sensitivity for all metrics, while roof insulation thickness and PV panel angle strongly influenced thermal performance and cost. The study also applies an RSA workflow to mixed continuous and categorical variables, with binning adjustment improving sensitivity results for discrete parameters. Based on sensitivity findings, differentiated optimization strategies were proposed: prioritizing passive shading and roof insulation for comfort optimization, while focusing on PV system scale for carbon emission and cost control. This study provides quantifiable evidence for low-carbon, efficient, and comfortable design in rural buildings.

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/e3sconf/202668601014/pdf

Authors: Yunhui Wu, Yuan Gao, Ruoxi Han, Xiaozhu Lin

Institutions: Hebei University of Technology, Beijing Jiaotong University, Beijing Institute of Petrochemical Technology

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Sustainable cities and communities, Affordable and clean energy

Open Access status: green

OpenAlex ID: W7125003351

FWCI:

Cites:

Cited by:

Related to: