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Open AccessArticle
Active and Passive Optimization of the Indoor Thermal Environment of Rural Dwellings in Hohhot Under Clean Heating in Severe Cold Regions
by
Zihan Ji
Zihan Ji 1,
Yang Bai
Yang Bai 2,* and
Guoqiang Xu
Guoqiang Xu 3
1
School of Humanities, Inner Mongolia University of Technology, Hohhot 010051, China
2
School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
3
School of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China
*
Author to whom correspondence should be addressed.
Sustainability 2026, 18(11), 5784; https://doi.org/10.3390/su18115784 (registering DOI)
Submission received: 20 March 2026
/
Revised: 24 May 2026
/
Accepted: 26 May 2026
/
Published: 5 June 2026
Abstract
In the severely cold regions of northern China, large-scale clean heating retrofits in rural areas face critical problems, including substandard indoor thermal environments, excessive energy consumption, and prohibitive operating costs. To address these challenges, this study focuses on rural residences in Hohhot as the research subject. Field measurements were conducted throughout the heating season in a typical rural house in Hohhot, a representative city with severe cold weather, to collect indoor/outdoor thermal parameters and real-time operational data of an air-source heat pump (ASHP). A dynamic simulation platform was established using TRNSYS 18. The optimization scheme integrates passive envelope retrofitting (ground insulation improvement and energy-efficient windows) with the active optimized control of the ASHP system. Indoor thermal comfort was evaluated using the Predicted Mean Vote (PMV) index. The results show that the ASHP exhibits excellent heating effectiveness and economic viability, making it the preferred technology for rural residences in Hohhot and similar regions. After implementing the active–passive scheme, the proportion of time with comfortable indoor conditions in rural houses surges from 34.1% to 84.1%, while during the severe cold period, this proportion increases from 16.97% to 61%. The indoor thermal comfort index shifts from its previous state to the baseline comfort range of −1.0 to 0. The total heating energy consumption decreased from 18,646 kWh to 15,861 kWh, and the seasonal operating cost dropped from 3207 to 2579.3 RMB, achieving an overall reduction of 19.6% in both energy and costs. The proposed active–passive synergistic optimization scheme simultaneously improves the indoor thermal environment and reduces heating energy consumption, overcoming the limitations of single-measure retrofits. This study fills the research gap on the quantitative evaluation of active–passive synergy for rural clean heating in severely cold regions, providing a theoretical basis and technical support for clean heating retrofits in Hohhot and Inner Mongolia, facilitating low-carbon and efficient rural clean heating in northern China.
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MDPI and ACS Style
Ji, Z.; Bai, Y.; Xu, G.
Active and Passive Optimization of the Indoor Thermal Environment of Rural Dwellings in Hohhot Under Clean Heating in Severe Cold Regions. Sustainability 2026, 18, 5784.
https://doi.org/10.3390/su18115784
AMA Style
Ji Z, Bai Y, Xu G.
Active and Passive Optimization of the Indoor Thermal Environment of Rural Dwellings in Hohhot Under Clean Heating in Severe Cold Regions. Sustainability. 2026; 18(11):5784.
https://doi.org/10.3390/su18115784
Chicago/Turabian Style
Ji, Zihan, Yang Bai, and Guoqiang Xu.
2026. "Active and Passive Optimization of the Indoor Thermal Environment of Rural Dwellings in Hohhot Under Clean Heating in Severe Cold Regions" Sustainability 18, no. 11: 5784.
https://doi.org/10.3390/su18115784
APA Style
Ji, Z., Bai, Y., & Xu, G.
(2026). Active and Passive Optimization of the Indoor Thermal Environment of Rural Dwellings in Hohhot Under Clean Heating in Severe Cold Regions. Sustainability, 18(11), 5784.
https://doi.org/10.3390/su18115784
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