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ORIGINAL RESEARCH article

Front. Built Environ.

Sec. Indoor Environment

Research on the Multi-objective Optimization of Energy Consumption and Indoor Environment: A Case Study of Residential Structures in Hot-Summer and Cold-Winter Regions

Provisionally accepted
  • 1China Railway 22nd Bureau Group Real Estate Development Co. Ltd., BEIJING, China
  • 2North China University of Technology, Beijing, China

The final, formatted version of the article will be published soon.

Balancing the relationship between building energy consumption and the health performance of the indoor environment has emerged as a crucial scientific issue for the sustainable development of residential buildings. Drawing upon existing regulations and standards, this paper employs the building energy use intensity (EUI) as an indicator of energy consumption and systematically selects four key parameters, namely the thermal - humidity environment, light environment, sound environment, and air quality, as evaluation indices for indoor health and comfort. A comprehensive quantitative evaluation method for the health performance of the indoor environment is developed. Taking a residential building in Nanjing as a case study, a multi - objective optimization model is established based on the energy consumption and health performance of the indoor environment to attain the dual objectives of minimizing the EUI and maximizing the level of health and comfort. The optimization results indicate that the building EUI index is notably reduced by 1.96% - 6.41%, and the duration of indoor environmental health and comfort is extended by 13 - 117 hours. Based on these results, optimal solutions highlighting different optimization objectives can be selected for diverse groups of people with varying requirements.

Keywords: Building energy consumption, Hot-Summer and Cold-Winter Regions, Indoor Environmental Health Performance, multi-objective optimization, Residential structures

Received: 17 Nov 2025; Accepted: 08 Dec 2025.

Copyright: © 2025 ZHANG and Song. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jia Song

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