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Waste-to-energy generation technologies and the developing economies: A multi-criteria analysis for sustainability assessment

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  • Khan, Imran
  • Kabir, Zobaidul

Abstract

To attain the sustainable development goals of the United Nations with a focus on the circular economy, it is necessary to explore every possible sustainable option in different sectors. Of these, sustainable waste management and electricity for all are the two most vital goals. However, to date, sustainability assessments of waste-to-energy (electricity) generation technologies have been limited in scale with respect to the three-dimensional sustainability framework (economic, environmental, and social). Most often, the assessments were dominated by environmental factors/indicators, omitting the social and economic indicators. This study thus considered a large number of indicators (34) with due importance placed on the three dimensions of sustainability towards sustainability assessment of four waste-to-energy options; incineration, gasification, pyrolysis, and anaerobic digestion (AD). Among the four technologies, AD and incineration are found as the most and least sustainable waste-to-energy technologies, respectively. Gasification, pyrolysis, and AD were found to be 33%, 65%, and 111% more sustainable waste-to-energy generation technologies than incineration. These findings were then discussed, paying particular attention to the developing world with a focus on Bangladesh, where waste-to-energy generation is yet to be developed. This is important for policymakers’ future development plans for waste management systems and renewable electricity generation in similar contexts of the developing world.

Suggested Citation

  • Khan, Imran & Kabir, Zobaidul, 2020. "Waste-to-energy generation technologies and the developing economies: A multi-criteria analysis for sustainability assessment," Renewable Energy, Elsevier, vol. 150(C), pages 320-333.
    • Handle: RePEc:eee:renene:v:150:y:2020:i:c:p:320-333
    DOI: 10.1016/j.renene.2019.12.132
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    1. Edwards, Ward & Barron, F. Hutton, 1994. "SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement," Organizational Behavior and Human Decision Processes, Elsevier, vol. 60(3), pages 306-325, December.
    2. Dongliang Zhang & Guangqing Huang & Yimin Xu & Qinghua Gong, 2015. "Waste-to-Energy in China: Key Challenges and Opportunities," Energies, MDPI, vol. 8(12), pages 1-15, December.
    3. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    4. Milutinović, Biljana & Stefanović, Gordana & Dassisti, Michele & Marković, Danijel & Vučković, Goran, 2014. "Multi-criteria analysis as a tool for sustainability assessment of a waste management model," Energy, Elsevier, vol. 74(C), pages 190-201.
    5. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2010. "Sustainability considerations for electricity generation from biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1419-1427, June.
    6. Campbell, Rona & Pound, Pandora & Pope, Catherine & Britten, Nicky & Pill, Roisin & Morgan, Myfanwy & Donovan, Jenny, 2003. "Evaluating meta-ethnography: a synthesis of qualitative research on lay experiences of diabetes and diabetes care," Social Science & Medicine, Elsevier, vol. 56(4), pages 671-684, February.
    7. Cartelle Barros, Juan José & Lara Coira, Manuel & de la Cruz López, María Pilar & del Caño Gochi, Alfredo, 2015. "Assessing the global sustainability of different electricity generation systems," Energy, Elsevier, vol. 89(C), pages 473-489.
    8. Xingpeng Chen & Jiaxing Pang & Zilong Zhang & Hengji Li, 2014. "Sustainability Assessment of Solid Waste Management in China: A Decoupling and Decomposition Analysis," Sustainability, MDPI, vol. 6(12), pages 1-14, December.
    9. Hua Li & Vilas Nitivattananon & Peng Li, 2015. "Developing a Sustainability Assessment Model to Analyze China’s Municipal Solid Waste Management Enhancement Strategy," Sustainability, MDPI, vol. 7(2), pages 1-26, January.
    10. Whiting, Andrew & Azapagic, Adisa, 2014. "Life cycle environmental impacts of generating electricity and heat from biogas produced by anaerobic digestion," Energy, Elsevier, vol. 70(C), pages 181-193.
    11. Cherubini, Francesco & Bargigli, Silvia & Ulgiati, Sergio, 2009. "Life cycle assessment (LCA) of waste management strategies: Landfilling, sorting plant and incineration," Energy, Elsevier, vol. 34(12), pages 2116-2123.
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