Selection of Ideal IoT Based Overhead Conductor for Optimizing the Performance of a Small Hydropower Project

Abstract

The selection of a suitable small hydropower project and its criteria for investment is a crucial task involving various aspects and plans. This decision-making can also be seen as a multi-criteria review issue with the correlation of criteria and alternatives. This role should take into account a number of competing aspects due to the growing complexities of social, economic, technical and environmental factors. Traditional decision-making methods cannot address the complexities of such systems. Multi-criteria approaches have more and more versatile tools. The goal of this paper is to assess the applicability of Multiple Criteria Decision-Making (MCDM) based Proximity Index Value (PIV) and Combined Compromise Solution (CoCoSo) technique during the planning and development of small hydropower projects. The application of this PIV novel approach to a small hydropower project organization and expansion scenario is lacking in renewable energy literature due to the difficulty of its evaluation.