Using Grey-TOPSIS approach for solar farm location selection in Libya

Abstract

The utilisation of renewable energies has emerged as a pressing environmental imperative, particularly in view of the elevated levels of pollution and amplified global warming resulting from the consumption of vast quantities of fossil fuels for energy generation. The field of research has contributed to the reduction of expenses associated with the acquisition of renewable energy, thereby positioning it as a formidable contender against conventional energy sources. Although several developed nations have made significant progress in integrating renewable energy sources into their energy portfolio, developing countries still face challenges in this regard, despite the accessibility of such energy sources. The present investigation employed a hybrid multi-criteria approach that integrates the GREY-TOPSIS method to identify the optimal location for the establishment of a solar farm. A total of twelve criteria were utilised to evaluate and contrast the suggested locations. The GREY method was employed for the purpose of extracting criteria weights. A comparative analysis was conducted on six potential locations within the Libyan territory, considering a set of twelve established criteria. It is noteworthy that Libya's energy generation is predominantly reliant on non-renewable sources. According to the findings, the criteria of average solar radiation and sunshine hours hold the highest significance with a weightage of 0.9. As per the model, Misrata emerged as the highest-ranking city with a weightage of 0.53, while Benghazi, situated in the western region of the country, secured the second position with a value of 0.47. The methodology and evaluation criteria utilised in this study have the potential to be implemented in other urban areas, thereby facilitating the pursuit of sustainable development.