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Village-level emission inventory of residential coal combustion and reduction analysis: A case study of Liaoning Province, China

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  • You, Huan
  • Li, Na
  • Gao, Cheng-kang
  • Liu, Chang
  • Chen, Zong-jiao
  • Bai, Lu
  • Li, Yang

Abstract

In Northeast China, rural areas are important entities of residential coal control policies. However, due to the availability of data, the residential coal emission inventory in Liaoning Province has not yet been established. To fill the gap, based on the survey data of all villages in Liaoning Province, a village-level emission inventory of SO2, CO, NOX, VOCs, and PM in 2020 was compiled. Based on these data, three scenarios were set up to analyze the effect of emission reduction. The results indicated that residential coal consumption was 6.8684 Mt, with bituminous coal accounting for 85 %, mainly in rural areas. The emissions of SO2, CO, NOX, VOCs and PM from residential coal combustion were 7551 t, 1,557,801 t, 27,215 t, 13,604 t, and 26,570 t. Among them, the eco-friendly stoves provided the most emission reduction in terms of CO (30.47 %) and PM (9.98 %) pollutant emissions. Coal-fired heating was temporally concentrated in November to December and January to March in 2020, with a total share of 85.82 % in those months. Pollutant emissions were spatially concentrated in the cities of Liaoyang, Anshan, Yingkou, Huludao, Chaoyang, Benxi and Fuxin. Among the three scenarios, the scenario of “Total substitution + increasing share of renewable energy” had the best emission reduction effect. These results can provide accurate data for air quality models and provide scientific support for pollution control strategies in Liaoning Province.

Suggested Citation

  • You, Huan & Li, Na & Gao, Cheng-kang & Liu, Chang & Chen, Zong-jiao & Bai, Lu & Li, Yang, 2025. "Village-level emission inventory of residential coal combustion and reduction analysis: A case study of Liaoning Province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:rensus:v:208:y:2025:i:c:s136403212400772x
    DOI: 10.1016/j.rser.2024.115046
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