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Waste-to-Energy. Multi-Criteria Decision Analysis for Sustainability Assessment and Ranking

  • Book

  • May 2020
  • Elsevier Science and Technology
  • ID: 1765683

Waste-to-Energy: Multi-criteria Decision Analysis for Sustainability Assessment and Ranking offers a comprehensive view of the technologies and processes for energy generation as a path for waste treatment, presenting all the necessary information and tools for selecting the most sustainable waste-to-energy solution under varying conditions. The book combines methods such as lifecycle assessment, sustainability assessment, multi-criteria decision-making, and multi-objective optimization modes. In addition, it provides an overview of waste-to-energy feedstocks, technologies and implementation, then goes on to investigate the critical factors and key enablers that influence the sustainable development of the waste-to-energy industry.

The book proposes several decision-making methods for the ranking and selection of waste-to-energy scenarios under different levels of certainty and information availability, including multi-criteria, multi-actor and multi-attribute methods. Finally, the book employs lifecycle tools that allow the assessment of economic, environmental and social sustainability of waste-to-energy systems.

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Table of Contents

1. Waste-to-Energy, Circular Economy, and Sustainability2. Sustainability Assessment of Waste Management: Methods and Indicators3. An Overview of Waste-to-Energy: Feedstocks, Technologies and Implementations4. Success Factors and Policy Implications of Waste-to-Energy based on DEMATEL5. Multi-criteria Sustainability Assessment of Waste-to-Energy Technologies6. Life Cycle Multi-Criteria Sustainability Ranking of Waste-to-Energy Technologies based on Life Cycle Thinking and Multi-Criteria Decision-Making Method7. Multi-Actor Multi-Criteria Decision-Making on Selecting Waste-To-Energy Technologies8. Multi-Criteria Decision-making on Selecting Waste-To-Energy Technologies under Uncertainties and Incomplete Information9. Multi-Attribute Decision-making for Sustainability Ranking of Waste-to-Energy technologies based on Hybrid Information: A Generic Framework

Authors

Jingzheng Ren Assistant Professor, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China. Jingzheng Ren is Assistant Professor of Modelling for Energy, Environment and Sustainability at the Department of Industrial and Systems Engineering of Hong Kong Polytechnic University (PolyU). He has also been nominated as adjunct/honorary associate professor of University of Southern Denmark (Denmark) and associated senior research fellow of the Institute for Security & Development Policy (Stockholm, Sweden). Prof. Ren serves as board member of several scientific journals and published more than 150 papers, authored 1 book, edited more than 10 books and published more than 40 book chapters. His research focuses on process system engineering for better sustainability and mathematical models for solving energy and environmental problems and promoting sustainability transition