Tracking enduring urban-rural inequities in residential heating and cooling loads across Chinese provinces
Qinwen Tang, Ran Yan, Nan Zhou, Minda Ma

TL;DR
This paper develops a bottom-up modeling framework to analyze residential heating and cooling loads across Chinese provinces, revealing persistent urban-rural disparities and informing region-specific decarbonization strategies.
Contribution
It introduces the first detailed energy load estimation model for Chinese residential buildings, capturing urban-rural differences over four decades.
Findings
Urban cooling loads increased from 12.4 to 15.1 kWh/m2 a (1980-2024)
Rural cooling loads declined from 22.63 to 19.87 kWh/m2 a (1980-2024)
Urban residential floor area surpasses rural in 22 provinces since recent years
Abstract
Climate change and rising thermal comfort demand make residential heating and cooling central to building-sector decarbonization. This study presents the first bottom-up modeling framework to estimate residential heating and cooling loads across 30 Chinese provinces. The model, developed using EnergyPlus simulations of representative building prototypes, captures energy consumption patterns in both urban and rural housing over the period 1980-2024. The results indicate that: (1) In 2020, Guangdong recorded the highest cooling loads (76.5 TWh/a urban; 63.0 TWh/a rural). Henan exhibited the highest rural heating load (174.6 TWh/a), while urban heating loads were highest in Liaoning and Shandong. (2) Between 1980 and 2024, average urban cooling loads increased from 12.4 to 15.1 kWh/m2 a, whereas rural cooling loads declined from 22.63 to 19.87 kWh/m2 a. Urban heating loads decreased from…
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Taxonomy
TopicsBuilding Energy and Comfort Optimization · Integrated Energy Systems Optimization · Urban Heat Island Mitigation
