Energy Recovery Potential And Life Cycle Impact Assessment Of Municipal Solid Waste Management Technologies In Asian Countries Using Elp Model

2015 ◽  
pp. 7-31
Author(s):  
Andante Pandyaswargo ◽  
Hiroshi Onoda ◽  
Katsuya Nagata
Keyword(s):  
Life Cycle ◽  
Waste Management ◽  
Municipal Solid Waste ◽  
Impact Assessment ◽  
Solid Waste ◽  
Life Cycle Impact Assessment ◽  
Solid Waste Management ◽  
Municipal Solid Waste Management ◽  
Asian Countries ◽  
Recovery Potential

scholarly journals Life Cycle Impact Assessment of Garbage-Classification Based Municipal Solid Waste Management Systems: A Comparative Case Study in China

2020 ◽  
Vol 17 (15) ◽  
pp. 5310
Author(s):  
Yujun Yuan ◽  
Tong Li ◽  
Qiang Zhai
Keyword(s):  
Life Cycle ◽  
Waste Management ◽  
Uncertainty Analysis ◽  
Municipal Solid Waste ◽  
Impact Assessment ◽  
Solid Waste ◽  
Life Cycle Impact Assessment ◽  
Solid Waste Management ◽  
Municipal Solid Waste Management ◽  
Life Cycle Impact

Confronted with a series of problems caused by surging generation of municipal solid waste (MSW), the Chinese central and local governments have promulgated and implemented policies to deal with them, including promotions of the classification of MSW. However, to date, practical knowledge and understanding about benefits for garbage classification from its environmental performance perspective is still limited. The present study is purposed to comprehensively investigate the environmental effects of garbage classification on municipal solid waste management (MSWM) systems based on three proposed garbage classification scenarios in China, via a comparative life cycle impact assessment (LCIA). Taking advantage of Impact Assessment of Chemical Toxics (IMPACT) 2002+ method, this comparative LCIA study can quantitatively evaluate midpoint, endpoint, and single scored life cycle impacts for the studied MSWM systems. A Monte Carlo uncertainty analysis is carried out to test the effectiveness and reliabilities of the LCIA results. The LCIA and uncertainty analysis results show that MSWM systems based on various garbage classification scenarios have significant variations in the studied midpoint, endpoint, and single scored environmental impacts. Different garbage classification scenarios have their individual environmental-friendly superiority for specific impact categories. Overall, results of this study demonstrate that MSW treatment systems integrated with garbage classification are more environmentally friendly by comparison with non-classification; and that the more elaborate the level of MSW classification, the smaller its impacts on the environment.

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