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Environmental and economic assessment of rural domestic waste gasification models in China.
Liu, Hanqiao; Liu, Tong; Wei, Guoxia; Zhao, Hailong; Li, Tong; Weng, Fangkai; Guo, Xin; Wang, Yanzhang; Lin, Yanfei.
Afiliação
  • Liu H; College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China. Electronic address: lhqlkx@126.com.
  • Liu T; College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
  • Wei G; College of Science, Tianjin Chengjian University, Tianjin 300384, China.
  • Zhao H; State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China. Electronic address: hbhzzhl@outlook.com.
  • Li T; College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
  • Weng F; College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
  • Guo X; UNEP-TONGJI Institute of Environment for Sustainable Development, College of Environmental Sciences and Engineering, Tongji University, Shanghai 200000, China.
  • Wang Y; College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
  • Lin Y; College of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Waste Manag ; 154: 160-174, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36244205
ABSTRACT
The dispersed sources and inconvenient transportation of rural domestic waste (RDW) lead to difficult centralized treatment. Gasification is suitable for decentralized waste treatment, which can effectively avoid RDW long-distance transportation and reduce dioxin emissions compared with small-scale incineration. Hence, economically-affordable and environmentally-friendly RDW treatment models with different gasification scales are required, and village, town and county models were compared via life cycle assessment (LCA) and life cycle cost (LCC) methods in this study. Furthermore, scenario analysis investigated waste sorting based on two food waste (FW) treatment technologies, different FW separate collection efficiency, and electricity recovery to explore the environmental and economic improvement potentials of three models. LCA results show that electricity consumption and direct emissions are significant contributors to environmental impacts, and the county model outperforms village and town models. Moreover, transportation accounts for 6% of the overall environmental impact in the county model. Scenario analysis reveals that waste sorting and electricity recovery can reduce the overall environmental impact by 29% to 146% for three models. LCC results demonstrate that the town model delivers the lowest economic cost, while the village model is the highest. In scenario analysis, resource utilization of FW and electricity recovery of other waste exhibit promising economic benefits. The findings provide comprehensive references for sustainable RDW treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article