Pre-feasibility MCDM tools to aid communities in prioritizing local viable renewable energy sources

Abstract

Integrating use of renewable energy sources (RESs) with conventional fuel sources increases energy security by minimizing dependence on imported energy sources. It also minimizes the negative environmental impact of generating energy, and the related health implications. Several RES alternatives can be identified in typical applications with various benefits and constraints. This makes the process of deciding which type of RES to implement at a specific site a multi-dimensional problem. Decision-making tools can be used to assist communities, in particular, in prioritizing their RES alternatives. Two multi-criteria decision-making (MCDM) tools are discussed in this work. The first tool is the analytic hierarchy process (AHP) and the second is the sequential interactive model for urban sustainability (SIMUS). AHP is based on community participation in the decision-making process through data collection and elicitation of expert opinions in which data are subjectively weighted to come to a cardinal ranking of alternatives. SIMUS, on the other hand, uses mathematical linear programming manipulation, which also and primarily relies on elicitation of expert opinions, but in a less subjective and more objective manner. The article discusses the application of the MCDM tools to assist communities in pre-feasibility ranking of the alternative local RESs. Both MCDM tools proved to be effective and to facilitate group decision-making in transparent and scientific procedures that enabled communities to get support for their initiative.