Energy recovery potential and life cycle impact assessment of municipal solid waste management technologies in Asian countries using ELP model

Pandyaswargo, Andante Hadi; Onoda, Hiroshi; Nagata, Katsuya

doi:10.1186/2251-6832-3-28

Cited by 35 publications

(4 citation statements)

References 17 publications

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“…This feature of LCA helps to identify the weak points and hotspots stages which can potentially be improved. The outcomes of LCA highly complement the techno-economic measurements and aid policy makers to take decision to achieve high level of sustainability (Chaya and Gheewala, 2007;Pandyaswargo et al, 2012;Tong et al, 2018;Shahbazi et al, 2019). In a recent couple of decades, LCA has been broadly used for the environmental assessment of the WtE technologies both as stand-alone technologies or as a part of an integrated MSW management system (Astrup et al, 2015).…”

Section: Environmental Performance Of Wte Technologiesmentioning

confidence: 99%

A Framework for the Selection of Suitable Waste to Energy Technologies for a Sustainable Municipal Solid Waste Management System

et al. 2021

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Municipal solid waste (MSW) generation has been escalated at a global scale and poses drastic impacts on the environment along with many socio-economic problems. Waste to energy (WtE) technologies have been recognized to convert MSW into useful energy and minimize the problems related to it. This study reviewed different WtE technologies according to the conversion pathways, end-products, and their applications, and assessed statistical values of these technologies based on six different factors, viz., environmental performance, suitable waste fractions, capital and operational cost, efficiency, and complexity of the technology, the skillset of the labor, and favorable geographical location for the plant. The results of this review showed that biochemical and physicochemical WtE technologies are more favorable to convert organic waste, while thermochemical WtE technologies are suitable to process combustible fractions of organic and inorganic MSW. Based on the statistical review of considered factors from the literature, the statistical profiles of concerned WtE technologies were observed. Finally, a general framework in the form of a systematic scheme was proposed for the selection of the most suitable WtE technologies for a sustainable MSW management system. The recommended indicators, methods, and models in the proposed framework were selected after a detailed review of the literature published in well-known scientific journals, and reports of leading international organizations such as the World Bank, International Energy Agency (IEA), and International Labour Organization (ILO). Moreover, the databases to extract the data for the estimation of various recommended indicators have also been presented.

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Section: Environmental Performance Of Wte Technologiesmentioning

confidence: 99%

A Framework for the Selection of Suitable Waste to Energy Technologies for a Sustainable Municipal Solid Waste Management System

et al. 2021

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“…Of such studies, gasification − and pyrolysis , were compared with anaerobic digestion in the European region (i.e., Sweden, United Kingdom). Further, in China, anaerobic digestion was compared with composting, − hydrothermal carbonization, and gasification using organic municipal solid waste as the feedstock. The environmental impacts of integrating anaerobic digestion with technologies (i.e., scrubbing, compression) that can upgrade biogas to renewable natural gas were assessed in Europe (i.e., Sweden, Denmark) employing IPCC and ReCiPe. − Only 3% of the studies conducting LCA of anaerobic digestion utilized TRACI (Figure b and Table S10).…”

Section: Applications Of Data Science In Rrcc From Organic Waste Streamsmentioning

confidence: 99%

A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste

Zaki,

Rowles,

Adjeroh

et al. 2023

ACS EST Eng.

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Municipal and agricultural organic waste can be treated to recover energy, nutrients, and carbon through resource recovery and carbon capture (RRCC) technologies such as anaerobic digestion, struvite precipitation, and pyrolysis. Data science could benefit such technologies by improving their efficiency through data-driven process modeling along with reducing environmental and economic burdens via life cycle assessment (LCA) and techno-economic analysis (TEA), respectively. We critically reviewed 616 peer-reviewed articles on the use of data science in RRCC published during 2002−2022. Although applications of machine learning (ML) methods have drastically increased over time for modeling RRCC technologies, the reviewed studies exhibited significant knowledge gaps at various model development stages. In terms of sustainability, an increasing number of studies included LCA with TEA to quantify both environmental and economic impacts of RRCC. Integration of ML methods with LCA and TEA has the potential to costeffectively investigate the trade-off between efficiency and sustainability of RRCC, although the literature lacked such integration of techniques. Therefore, we propose an integrated data science framework to inform efficient and sustainable RRCC from organic waste based on the review. Overall, the findings from this review can inform practitioners about the effective utilization of various data science methods for real-world implementation of RRCC technologies.

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“…However, applying current methodologies from developed countries to developing countries presents many obstacles to full implementation, due to the complexity of the situation in developing countries. These complexities include rapid economic growth, high urbanization rates, differences in waste composition, a lack of proper governance, the presence of an informal sector, and a lack of financial resources [1,[5][6][7][8][9][10]. Therefore, MSWM systems need to be adapted to best suit the socio-economic conditions of the region wherein these future improvements will be realized [11,12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines

2022

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Municipal solid waste management (MSWM) systems in developing countries adopt practices from developed countries to reduce their environmental burdens. However, several complex issues specific to developing countries hinder the full implementation of these practices. The future of MSWM in Davao City, Philippines, is envisaged as a notable example of the combination of new infrastructure and local MSWM practices. A linear programming model was developed, following material flow analysis and life cycle assessment, to design an optimal system for Davao City. The performance of the system was evaluated in terms of greenhouse gas emissions, energy and revenue generated, and the amount of landfill waste. The results show that the proposed system positively affects the environment compared to the current system, due to additional treatment options. However, the main allocation concern transitions from organic waste in the current system to plastic waste in future scenarios. Furthermore, the mitigation of greenhouse gas emissions and the extension of landfill life will be heavily influenced by trade-offs between sorting operations and the management of incinerated wastes with high calorific values. Therefore, plastic-waste-specific treatment options will be critical for future MSWM systems. The results herein underscore the need for sustainable MSWM in the study area, considering the region-specific conditions.

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Energy recovery potential and life cycle impact assessment of municipal solid waste management technologies in Asian countries using ELP model

Cited by 35 publications

References 17 publications

A Framework for the Selection of Suitable Waste to Energy Technologies for a Sustainable Municipal Solid Waste Management System

A Framework for the Selection of Suitable Waste to Energy Technologies for a Sustainable Municipal Solid Waste Management System

A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste

Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines

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