scholarly journals An Empirical Study on Greenhouse Gas Emission Calculations Under Different Municipal Solid Waste Management Strategies

2020 ◽  
Vol 10 (5) ◽  
pp. 1673 ◽  
Author(s):  
Chunlin Xin ◽  
Tingting Zhang ◽  
Sang-Bing Tsai ◽  
Yu-Ming Zhai ◽  
Jiangtao Wang

The Chinese government is committed to ensuring separation of municipal solid waste (MSW), promoting the integrated development of the MSW management system with the renewable resource recovery system, and achieving construction of ecological civilization. Guided by the methods in Intergovernmental Panel on Climate Change (IPCC) guidelines, the greenhouse gas (GHG) emissions under five waste disposal scenarios in Beijing under the life cycle framework were assessed in this research. The study included collection and transportation, as well as three end disposal methods (sanitary landfill, incineration, and composting), and the emission reduction benefits of electricity generation from incineration and recycling of renewable resources were taken into account. The results show that an emission reduction benefit of 70.82% could be achieved under Scenario 5 in which kitchen waste and recyclables are sorted and recycled and the residue is incinerated, and the selection of the optimal strategy was not affected by changes in the separation rate. In addition, landfill would emit more GHG than incineration and composting. The results of this study are helpful for the government to make a decision on MSW management considering the goal of GHG emission reduction.

2021 ◽  
pp. 0734242X2098392
Author(s):  
Paul Selvam Michel Devadoss ◽  
Agamuthu Pariatamby ◽  
Mehran Sanam Bhatti ◽  
Santha Chenayah ◽  
Fauziah Shahul Hamid

The studies on municipal solid waste (MSW) management in Pakistan and its impacts on greenhouse gas (GHG) emissions are glaringly missing. Therefore, this study examines the effect of MSW management on GHG emissions in Pakistan and suggests the best suitable strategies for alleviating GHG emissions. The Intergovernmental Panel on Climate Change (IPCC) 2006 waste model (WM) was used to create inventory of GHG emissions from landfilling. The solid waste management GHG (SWM-GHG) calculator and strengths–weaknesses–opportunities–threat (SWOT) analyses were used as strategic planning tools to reduce GHG emissions by improving MSW management in Pakistan. The IPCC 2006 WM estimated 14,987,113 metric tonnes (Mt) carbon dioxide equivalents (CO2-eq) of GHG emissions in 2016. The SWM-GHG calculator, on the other hand, estimated 23,319,370 Mt CO2-eq of GHG emissions from management of 30,764,000 Mt of MSW in 2016, which included 8% recycling, 2% composting, and 90% disposal in open dumps. To reduce GHG emissions, two strategies including recycling-focused and incineration-focused were analysed. The recycling approach can reduce more GHG emissions than incineration, as it can reduce 36% of GHG emissions (as compared to GHG emission in 2016) by recycling 23% of MSW, anaerobically digesting 10% of MSW, and disposing of 67% of MSW in sanitary landfills (with energy recovery). Moreover, the SWOT analysis suggested integration of the informal sector, adoption of anaerobic digestion and formulation of explicit MSW regulations for improving the current management of MSW which will also result in lower GHG emissions.


2019 ◽  
Vol 25 (4) ◽  
pp. 462-469
Author(s):  
Kanchan Popli ◽  
Jeejae Lim ◽  
Hyeon Kyeong Kim ◽  
Young Min Kim ◽  
Nguyen Thanh Tuu ◽  
...  

This study is proposing a System Dynamics Model for estimating Greenhouse Gas (GHG) emission from treating Municipal Solid Waste (MSW) in South Korea for years 2000 to 2030. The government of country decided to decrease the total GHG emission from waste sector in 2030 as per Business-as-usual level. In context, four scenarios are generated to predict GHG emission from treating the MSW with three processes i.e., landfill, incineration and recycling. For prior step, MSW generation rate is projected for present and future case using population and waste generation per capita data. It is found that population and total MSW are directly correlated. The total population will increase to 56.27 million and total MSW will be 21.59 million tons in 2030. The methods for estimating GHG emission from landfill, incineration and recycling are adopted from IPCC, 2006 guidelines. The study indicates that Scenario 2 is best to adopt for decreasing the total GHG emission in future where recycling waste is increased to 75% and landfill waste is decreased to 7.6%. Lastly, it is concluded that choosing proper method for treating the MSW in country can result into savings of GHG emission.


Author(s):  
Brian Bahor ◽  
Keith Weitz ◽  
Andrew Szurgot

Municipal solid waste (MSW) management is internationally recognized for its potential to be both a source and mitigation technology for greenhouse gas (GHG) emissions. Historically, GHG emission estimates have relied upon quantitative knowledge of various MSW components and their carbon contents, information normally presented in waste characterization studies. Aside from errors associated with such studies, existing data do not reflect changes over time or from location to location and are therefore limited in their utility for estimating GHG emissions and mitigation due to proposed projects. This paper presents an alternative approach to estimate GHG emissions and mitigation using the concept of a carbon balance, where key carbon quantities are determined from operational measurements at modern municipal waste combustors (MWCs).


2021 ◽  
Vol 13 (4) ◽  
pp. 1641
Author(s):  
Duan Lu ◽  
Asad Iqbal ◽  
Feixiang Zan ◽  
Xiaoming Liu ◽  
Guanghao Chen

Sustainable municipal solid waste (MSW) management is a critical issue that requires planning in accordance with population growth, urbanization, and living standards. An evaluation that integrates system dynamics (SD) is newly built for identifying the interactions between social activities to predict future MSW generation. In this study, SD-based greenhouse gas (GHG), energy, and economic evaluations were conducted for MSW management in the Southern Tai Lake Watershed (STWL) area in China. The considered SD factors include the gross domestic product (GDP) growth, total population, population growth, MSW generation per capita, and MSW generation charges. The results indicate that the current MSW strategy (S1) does not perform well in GHG, energy, and cost evaluation, and the current landfill capacity will be depleted in 2022. Co-processing the landfilled waste with fresh MSW in incineration plants (S7) is the most favorable strategy, which indicates the current landfill capacity will be sufficient for the ash generated from incineration over the next decade. S7 also emits 1.5–3 times less GHG, recovers 2–3.2 times more energy, and obtains 1.3–2.0 times more economic benefits than S1 during 2020–2030. This study offers valuable insights regarding the dynamics of MSW generation and an approach to determine an optimal MSW management strategy for the future.


Author(s):  
Irina Shcherbakova ◽  
Tatyana Faiberg

The reform currently being implemented in the sphere of municipal solid waste (MSW) management requires large investments both from the government and management bodies at all levels, as well as from economic entities. Their stimulation is possible only through the use of various financial regulation tools. The article deals with the main tools of financial regulation in the sphere of MSW management, such as environmental payments and subsidies from the Federal budget, while simultaneously implementing program and project budgeting. The analysis showed that at present, despite the development of these financial tools, there is no effective mechanism for financial re­gulation in the sphere of MSW circulation. It is proposed to streamline and include environmental payments in the budget and tax legislation of the Russian Federation in order to increase the transparency of financial flows in this area. It is also necessary to create a special extra-budge­tary Fund which will be used to finance investment projects in the field of MSW circulation.


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