Abstract

Selection of the most appropriate contractor for the installation of solar panels is essential to maximizing the benefit of this renewable, sustainable energy source. Solar energy is one of the 100% renewable energy sources, but implementation may not be very simple and cost-effective. A key phase in the implementation of renewable energy is the evaluation of contractors for the installation of solar panels, which is addressed as a multi-criteria decision-making (MCDM) problem. A new hybrid method is proposed that combines the stepwise weight analysis ratio assessment (SWARA) and full consistent method (FUCOM) weights that are represented as grey numbers used with traditional grey relational analysis (GRA) and evaluation based on distance from average solution (EDAS) methods. The ranking of contractors by both methods is the same, which confirmed the results presented in this research. The use of the grey SWARA-FUCOM weighting method combined with the GRA and EDAS methods increased the decision-makers’ (DMs) confidence in awarding the installation of the solar panel energy system to the top-ranked contractor.

Highlights

  • The Chinese have been working hard to cut down the use of coal power generation plants and switch to alternative clean energy sources, and the government is pushing towards more renewable energy while balancing the overall demand for electrical energy of its citizens

  • Besides the environmental benefits of this kind of project, there are financial rewards and prestige for contractors that win the bid to install the solar panels and build the power stations. The evaluation of these contractors is classified as a multi-criteria decision-making (MCDM) problem because there are several evaluation criteria and the best contractor is selected using the weights assigned by decision-makers (DMs) based on the evaluation criteria

  • The analysis consists of two main aspects: First, weighting based on the grey stepwise weight analysis ratio assessment (SWARA)-full consistent method (FUCOM) method

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Summary

Introduction

The Chinese have been working hard to cut down the use of coal power generation plants and switch to alternative clean energy sources, and the government is pushing towards more renewable energy while balancing the overall demand for electrical energy of its citizens. Companies are taking the initiative of contributing to the society by reducing their dependency on the national electricity grid and, individuals are switching to a home-based solar panel. The push for installing solar panels on bodies of water like rivers and lakes is an ingenious approach. Besides the environmental benefits of this kind of project, there are financial rewards and prestige for contractors that win the bid to install the solar panels and build the power stations. The evaluation of these contractors is classified as a multi-criteria decision-making (MCDM) problem because there are several evaluation criteria and the best contractor is selected using the weights assigned by decision-makers (DMs) based on the evaluation criteria

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