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APPLICATION OF THE MULTI-CRITERIA ANALYSIS METHOD MAIRCA, SPOTIS, COMET FOR THE OPTIMISATION OF SUSTAINABLE ELECTRICITY TECHNOLOGY DEVELOPMENT.

Authors :
Ngoc-Tien Tran
Source :
EUREKA: Physics & Engineering. 2024, Issue 1, p180-188. 9p.
Publication Year :
2024

Abstract

The development of sustainable electricity technology is of utmost importance in addressing the increasing energy demand while mitigating greenhouse gas emissions. Fossil fuel-based electricity generation is the primary contributor to air pollution and climate change, necessitating a shift towards renewable energy sources. The efficient production, distribution, and utilization of energy resources, along with ensuring affordable energy access and environmental sustainability, are key policy objectives for any country’s energy sector. However, assessing sustainable electricity technologies is a complex task due to the diverse range of evaluation criteria and impacts associated with the practical implementation of these solutions. To overcome this challenge, this study proposes a multi-criteria decision-making (MCDM) approach to select the optimal solution for the development of sustainable electricity technology. The study employs several reliable methods, including MAIRCA, SPOTIS, COMET, and the CRITIC weighting method, to perform ranking evaluations. Based on this, an evaluation Table of criteria using linguistic variables is constructed. Furthermore, a ranking of methods for developing sustainable electricity technology is established by combining MCDM optimization methods. The results indicate that future energy policies should prioritize sustainable energy technologies, particularly water and solar thermal solutions. These findings have significant implications for development policymakers as the transition towards a sustainable energy system becomes increasingly crucial. In the future, the findings of this research can be further developed on a regional level, enabling the identification of the most appropriate energy technologies for specific regions based on their unique characteristics and requirements. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24614254
Issue :
1
Database :
Academic Search Index
Journal :
EUREKA: Physics & Engineering
Publication Type :
Academic Journal
Accession number :
175377506
Full Text :
https://doi.org/10.21303/2461-4262.2024.003133