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Author:

Zhou, Ying (Zhou, Ying.) | Liu, Jing (Liu, Jing.) | Lang, Jianlei (Lang, Jianlei.) (Scholars:郎建垒) | Zhao, Beibei (Zhao, Beibei.) | Guo, Xiurui (Guo, Xiurui.) | Chen, Dongsheng (Chen, Dongsheng.) | Zi, Teng (Zi, Teng.) | Cheng, Shuiyuan (Cheng, Shuiyuan.)

Indexed by:

EI Scopus SCIE

Abstract:

Rural residential coal combustion (RRCC) is an important CO 2 emission source in rural areas and these emissions vary greatly by coal and stove types. The lack of CO 2 emission estimations for different coal-stove combinations restricts refinement and region-differentiated synergistic reduction of pollution and CO 2 emissions from RRCC. This study established the coal and stove specific CO 2 emissions inventory of RRCC based on investigated coal combustion of various coal and stove types, taking the region of Hebei in China as an example. The synergistic reduction effect of CO 2 and pollutants was evaluated using 4 emission reduction scenarios. CO 2 emission was 67.4% higher than estimates of RRCC based on the Statistical Yearbook and IPCC emission factors. The combination of bituminous coal and an advanced coal stove was the greatest contributor (62.1%) to CO 2 emissions. Bituminous coal burnt in home Arcola has the highest per capita hourly and per unit calorific value CO 2 emission, 2.3 and 2.4 times higher than the combination of anthracite briquette coal and pit coal stove and the combination of bituminous coal and an advanced coal stove, respectively. Except for NOx and CO, the coal-stove combination with the lowest per capita hourly and per unit calorific value emissions is anthracite briquette coal and an advanced coal stove. Scenario analysis shows that updated coal stoves feature the highest pollutant emission reduction, but greater CO 2 and NO X emissions. For individual cities, synergistic pollution and carbon reduction is seen in Tangshan and Qinhuangdao, and organic carbon, CO, and SO 2 have better synergistic positive reduction with CO 2 , while NO X has shown a negative effect with CO 2 in other cities with the best coal and stove update scenario. Compared with the coal and stove update scenario, emission reduction effects with clean fuel substitution varies across cities. This study is helpful to understand the possible non-synergy of pollutant and CO 2 reduction in the process of RRCC management. Attention should be given to issues related to the synergistic control plan of pollution and CO 2 reduction for RRCC with local adaptation.

Keyword:

Synergy of pollutants and carbon emission Rural residential coal combustion reduction Coal-stove combination CO2 emissions

Author Community:

  • [ 1 ] [Zhou, Ying]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Jing]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 3 ] [Lang, Jianlei]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 4 ] [Guo, Xiurui]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 5 ] [Chen, Dongsheng]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 6 ] [Zi, Teng]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 7 ] [Cheng, Shuiyuan]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 8 ] [Zhao, Beibei]Minist Ecol & Environm, Tech Ctr Soil Agr & Rural Ecol & Environm, Beijing 100012, Peoples R China

Reprint Author's Address:

  • [Lang, Jianlei]Beijing Univ Technol, Coll Environm Sci & Engn, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China;;

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Source :

JOURNAL OF CLEANER PRODUCTION

ISSN: 0959-6526

Year: 2024

Volume: 449

1 1 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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