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1 – 1 of 1Miguel Afonso Sellitto, Maria Soares de Lima, Leandro Tomasin da Silva, Nelson Kadel Jr and Maria Angela Butturi
The purpose of the article is to identify relevant criteria for decision support in the implementation of waste-to-energy (WtE)-based systems.
Abstract
Purpose
The purpose of the article is to identify relevant criteria for decision support in the implementation of waste-to-energy (WtE)-based systems.
Design/methodology/approach
The methodology is a simple case study with a qualitative approach. Five experts involved in the project of a thermoelectric power plant qualitatively evaluated, on a Likert scale, a decision model with 15 indicators derived from recent studies. The research object was the first stage of a project to implement a thermoelectric plant employing municipal solid waste (MSW) in southern Brazil.
Findings
The study identified 15 criteria supporting the decision-making process regarding WtE implementation for MSW in a mid-sized city in southern Brazil. The study identified that compliance with MSW legislation, compliance with energy legislation, initial investment and public health impact are the most influential criteria. The study offered two models for decision processes: a simplified one and a complete one, with ten and fifteen indicators, respectively.
Research limitations/implications
The study concerns mid-sized municipalities in southern Brazil.
Practical implications
Municipal public managers have now a methodology based on qualitative evaluation that admits multiple perspectives, such as technical, economic, environmental and social, to support decision-making processes on WtE technologies for MSW.
Social implications
MSW management initiatives can yield jobs and revenues for vulnerable populations and provide a correct destination for MSW, mainly in developing countries.
Originality/value
The main originality is that now municipal public decision-makers have a structured model based on four constructs (technical, economic, environmental and social) deployed in 15 indicators to support decision-making processes involving WtE and MSW management.
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