JOURNAL OF CLEANER PRODUCTION | 卷:284 |
Energy trilemma based prioritization of waste-to-energy technologies: Implications for post-COVID-19 green economic recovery in Pakistan | |
Article | |
Shah, Syed Ahsan Ali1  Cheng Longsheng1  Solangi, Yasir Ahmed1  Ahmad, Munir2  Ali, Sharafat3  | |
[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing 210094, Peoples R China | |
[2] Zhejiang Univ, Sch Econ, Hangzhou 310058, Peoples R China | |
[3] Govt Postgrad Coll Kot Sultan, Dept Econ, Layyah, Punjab, Pakistan | |
关键词: COVID-19; Green economic recovery; Waste-to-Energy; Renewable energy; SDG 7; MCDM; | |
DOI : 10.1016/j.jclepro.2020.124729 | |
来源: Elsevier | |
【 摘 要 】
As lockdown eases, economic activities resume in Pakistan. If the country continues to follow business as-usual (BAU) then it is anticipated that carbon output could surge past pre-COVID-19 levels that means more disasters in future. Thus, it is an unprecedented opportunity to shift from BAU and achieve carbon-neutral and nature-positive economic recovery green economic recovery (GER). To fuel the GER, access to modern, equitable, affordable and sustainable energy is paramount. This study explores waste-to-energy (WtE) as an alternative green fuel for GER. Seven WtE technologies are prioritized based on the concept of energy trilemma energy security, energy equity, and environmental sustainability. For the evaluation, an energy trilemma based decision support framework is developed using most prominent multi-criteria decision-making (MCDM) methods. The fuzzy set theory is integrated with MCDM methods to minimize uncertainty in results. Sixteen experts are engaged to score each WtE technology with respect to every energy trilemma dimension and sub-dimension. Gasification technology is found to be the most feasible option for WtE generation in Pakistan whereas Torrefaction technology is least favorable. It is concluded that the need to shift towards sustainable energy is more than ever to limit the carbon emission and prevent future crisis. (C) 2020 Elsevier Ltd. All rights reserved.
【 授权许可】
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