Estimation of reduced greenhouse gas emission from municipal solid waste incineration with electricity recovery in prefecture- and county-level cities of China

被引:15
作者
Zhao, Qing [1 ,2 ]
Tang, Weihao [1 ]
Han, Mengjie [2 ]
Cui, Wenjing [6 ]
Zhu, Lei [3 ]
Xie, Huaijun [5 ]
Li, Wei [3 ,4 ]
Wu, Fengchang [6 ]
机构
[1] Guangdong Acad Sci, Inst Ecoenvironm & Soil Sci, Natl Reg Joint Engn Res Ctr Soil Pollut Control &, Guangdong Key Lab Integrated Agroenvironm Pollut C, Guangzhou 510650, Peoples R China
[2] Chinese Acad Sci, Inst Appl Ecol, Key Lab Pollut Ecol & Environm Engn, Shenyang 110016, Peoples R China
[3] Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
[4] Tsinghua Univ, Inst Carbon Neutral, Beijing 100084, Peoples R China
[5] Dalian Univ Technol, Sch Environm Sci & Technol, Minist Educ, Key Lab Ind Ecol & Environm Engn,Dalian Key Lab Ch, Linggong Rd 2, Dalian 116024, Peoples R China
[6] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
基金
中国国家自然科学基金;
关键词
Greenhouse gas reduction emission; Municipal solid waste; Incineration; Machine-learning; Green energy; TO-ENERGY; GENERATION; TECHNOLOGIES; MANAGEMENT; POTENTIALS; MSW;
D O I
10.1016/j.scitotenv.2023.162654
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Municipal solid waste (MSW) without proper managements could be a significant source of greenhouse gas (GHG) emissions. MSW incineration with electricity recovery (MSW-IER) is recognized as a sustainable way to utilize waste, but its effectiveness on reducing GHG emissions at the city scale in China remain unclear due to limited data of MSW compositions. The aim of the study is to investigate reduction potential of GHG from MSW-IER in China. Based on the MSW compositions covering 106 Chinese prefecture-level cities during the period of 1985 to 2016, random forest models were built to predict MSW compositions in Chinese cities. MSW compositions in 297 cities of China from 2002 to 2017 were predicted using the model trained by a combination of socio-economic, climate and spatiotemporal factors. Spatiotemporal and climatic factors (such as economic development level, precipitation) accounted for 6.5 %-20.7 % and 20.1 %-37.6 % to total contributions on MSW composition, respectively. The GHG emissions from MSW-IER in each Chinese city were further calculated based on the predicted MSW compositions. The plastic is the main GHG emission source, accounting for over 91 % of the total emission during 2002-2017. Compared to baseline (landfill) emission, the GHG emission reduction from MSW-IER was 12.5 x 107 kg CO2-eq in 2002 and 415 x 107 kg CO2-eq in 2017, with an average annual growth rate of 26.3 %. The results provide basic data for esti-mating GHG emission in MSW management in China.
引用
收藏
页数:10
相关论文
共 50 条
[1]   From waste-to-energy to waste-to-resources: The new role of thermal treatments of solid waste in the Recycling Society [J].
Arena, Umberto .
WASTE MANAGEMENT, 2015, 37 :1-2
[2]   Life cycle assessment of waste-to-energy (WtE) technologies for electricity generation using municipal solid waste in Nigeria [J].
Ayodele, T. R. ;
Ogunjuyigbe, A. S. O. ;
Alao, M. A. .
APPLIED ENERGY, 2017, 201 :200-218
[3]   Greenhouse gas emissions from waste sectors in China during 2006-2019: Implications for carbon mitigation [J].
Bian, Rongxing ;
Zhang, Tingxue ;
Zhao, Fengbin ;
Chen, Jihong ;
Liang, Chenyu ;
Li, Weihua ;
Sun, Yingjie ;
Chai, Xiaoli ;
Fang, Xin ;
Yuan, Liqun .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 161 :488-497
[4]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[5]  
Buendia C.E., 2019, 2019 REFINEMENT 2006
[6]  
CDM, 2018, TOOL CALC EM FACT EL
[7]  
CDM, 2021, ACM0022 ALT WAST TRE
[8]   Assessment of energy generation potentials of MSW in Delhi under different technological options [J].
Chakraborty, Monojit ;
Sharma, Chhemendra ;
Pandey, Jitendra ;
Gupta, Prabhat K. .
ENERGY CONVERSION AND MANAGEMENT, 2013, 75 :249-255
[9]   Municipal solid waste (MSW) as a renewable source of energy: Current and future practices in China [J].
Cheng, Hefa ;
Hu, Yuanan .
BIORESOURCE TECHNOLOGY, 2010, 101 (11) :3816-3824
[10]   Characterisation of municipal solid waste and its recyclable contents of Guangzhou [J].
Chung, SS ;
Poon, CS .
WASTE MANAGEMENT & RESEARCH, 2001, 19 (06) :473-485