Jun

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2020

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

adteam 29 Jun 2020 01:11 LEARNING » e-book


Waste-to-Energy - Multi-Criteria Decision Analysis for Sustainability Assessment a...
Waste-to-Energy - Multi-Criteria Decision Analysis for Sustainability Assessment and Ranking
pdf | 14.85 MB | English | Author :Jingzheng Ren | B088K88F6W | 2020 | Academic Press; 1 edition



Book Description :

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.

  • Explores existing and state-of-the-art waste to energy technologies and systems, as well as their feedstock requirements
  • Presents a wide perspective of sustainability issues of waste-to-energy technologies, also discussing critical influential factors or key enablers for promoting the sustainable development of waste-to-energy solutions
  • Provides multi-dimensional decision-making techniques for choosing the most suitable and sustainable waste-to-energy technologies for different scenarios


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