Autor: Ren, Jingzheng
Wydawca: Elsevier
Dostępność: 3-6 tygodni
Cena: 749,70 zł
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ISBN13: |
9780128163948 |
Autor: |
Ren, Jingzheng |
Oprawa: |
Paperback |
Rok Wydania: |
2020-05-12 |
Tematy: |
THX |
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.
1. Waste-to-Energy, Circular Economy, and Sustainability
2. Sustainability Assessment of Waste Management: Methods and Indicators
3. An Overview of Waste-to-Energy: Feedstocks, Technologies and Implementations
4. Success Factors and Policy Implications of Waste-to-Energy based on DEMATEL
5. Multi-criteria Sustainability Assessment of Waste-to-Energy Technologies
6. Life Cycle Multi-Criteria Sustainability Ranking of Waste-to-Energy Technologies based on Life Cycle Thinking and Multi-Criteria Decision-Making Method
7. Multi-Actor Multi-Criteria Decision-Making on Selecting Waste-To-Energy Technologies
8. Multi-Criteria Decision-making on Selecting Waste-To-Energy Technologies under Uncertainties and Incomplete Information
9. Multi-Attribute Decision-making for Sustainability Ranking of Waste-to-Energy technologies based on Hybrid Information: A Generic Framework
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