With global population increases, there is a noticeable change in pollution levels across the globe. This heightened environmental concern has played a significant role in sparking a growing demand for devices powered by renewable energy. The demand is not only a reflection of rising environmental awareness but is also driven by other factors, including the prospect of lower operating costs that renewable energy options can offer over their non-renewable counterparts. Renewable energy technology is a complex and rapidly evolving field. To effectively manage this growth, it has become crucial to carefully consider all the major parameters and constraints that impact the decision making process. This involves an understanding of technical parameters such as energy efficiency and durability, financial factors and environmental concerns such as the carbon footprint of the energy source. The task of integrating these diverse and often competing factors into a coherent decision making framework can be accomplished using Multi-Criteria Decision-Making (MCDM) techniques. These techniques have proven to be reliable and effective tools for tackling complex decision-making scenarios that involve multiple objectives. MCDM operates by identifying and prioritising the most viable alternatives within the decision space. This is done by considering the influential factors, or parameters and determining their relative importance to the overall decision making process. It should be noted that the application of MCDM is not merely theoretical. The analysis conducted using MCDM approaches incorporates the use of a sophisticated algorithm to deliver tangible and actionable output. The primary objective of this paper is to apply an MCDM approach specifically to the renewable energy technology sector. Further, it aims to identify and highlight the key criteria that are the most essential to the successful implementation and advancement of renewable energy systems.
| Published in | American Journal of Operations Management and Information Systems (Volume 8, Issue 2) |
| DOI | 10.11648/j.ajomis.20230802.11 |
| Page(s) | 21-29 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Multi-criteria Decision-making Techniques, Renewable Energy, Optimised Criteria, Decision Space, Selection Criteria
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APA Style
Mahak Bhatia, Aled Williams. (2023). Using Multi-Criteria Decision-Making Techniques to Select Criteria in Renewable Energy. American Journal of Operations Management and Information Systems, 8(2), 21-29. https://doi.org/10.11648/j.ajomis.20230802.11
ACS Style
Mahak Bhatia; Aled Williams. Using Multi-Criteria Decision-Making Techniques to Select Criteria in Renewable Energy. Am. J. Oper. Manag. Inf. Syst. 2023, 8(2), 21-29. doi: 10.11648/j.ajomis.20230802.11
AMA Style
Mahak Bhatia, Aled Williams. Using Multi-Criteria Decision-Making Techniques to Select Criteria in Renewable Energy. Am J Oper Manag Inf Syst. 2023;8(2):21-29. doi: 10.11648/j.ajomis.20230802.11
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Download@article{10.11648/j.ajomis.20230802.11,
author = {Mahak Bhatia and Aled Williams},
title = {Using Multi-Criteria Decision-Making Techniques to Select Criteria in Renewable Energy},
journal = {American Journal of Operations Management and Information Systems},
volume = {8},
number = {2},
pages = {21-29},
doi = {10.11648/j.ajomis.20230802.11},
url = {https://doi.org/10.11648/j.ajomis.20230802.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20230802.11},
abstract = {With global population increases, there is a noticeable change in pollution levels across the globe. This heightened environmental concern has played a significant role in sparking a growing demand for devices powered by renewable energy. The demand is not only a reflection of rising environmental awareness but is also driven by other factors, including the prospect of lower operating costs that renewable energy options can offer over their non-renewable counterparts. Renewable energy technology is a complex and rapidly evolving field. To effectively manage this growth, it has become crucial to carefully consider all the major parameters and constraints that impact the decision making process. This involves an understanding of technical parameters such as energy efficiency and durability, financial factors and environmental concerns such as the carbon footprint of the energy source. The task of integrating these diverse and often competing factors into a coherent decision making framework can be accomplished using Multi-Criteria Decision-Making (MCDM) techniques. These techniques have proven to be reliable and effective tools for tackling complex decision-making scenarios that involve multiple objectives. MCDM operates by identifying and prioritising the most viable alternatives within the decision space. This is done by considering the influential factors, or parameters and determining their relative importance to the overall decision making process. It should be noted that the application of MCDM is not merely theoretical. The analysis conducted using MCDM approaches incorporates the use of a sophisticated algorithm to deliver tangible and actionable output. The primary objective of this paper is to apply an MCDM approach specifically to the renewable energy technology sector. Further, it aims to identify and highlight the key criteria that are the most essential to the successful implementation and advancement of renewable energy systems.},
year = {2023}
}
TY - JOUR T1 - Using Multi-Criteria Decision-Making Techniques to Select Criteria in Renewable Energy AU - Mahak Bhatia AU - Aled Williams Y1 - 2023/07/06 PY - 2023 N1 - https://doi.org/10.11648/j.ajomis.20230802.11 DO - 10.11648/j.ajomis.20230802.11 T2 - American Journal of Operations Management and Information Systems JF - American Journal of Operations Management and Information Systems JO - American Journal of Operations Management and Information Systems SP - 21 EP - 29 PB - Science Publishing Group SN - 2578-8310 UR - https://doi.org/10.11648/j.ajomis.20230802.11 AB - With global population increases, there is a noticeable change in pollution levels across the globe. This heightened environmental concern has played a significant role in sparking a growing demand for devices powered by renewable energy. The demand is not only a reflection of rising environmental awareness but is also driven by other factors, including the prospect of lower operating costs that renewable energy options can offer over their non-renewable counterparts. Renewable energy technology is a complex and rapidly evolving field. To effectively manage this growth, it has become crucial to carefully consider all the major parameters and constraints that impact the decision making process. This involves an understanding of technical parameters such as energy efficiency and durability, financial factors and environmental concerns such as the carbon footprint of the energy source. The task of integrating these diverse and often competing factors into a coherent decision making framework can be accomplished using Multi-Criteria Decision-Making (MCDM) techniques. These techniques have proven to be reliable and effective tools for tackling complex decision-making scenarios that involve multiple objectives. MCDM operates by identifying and prioritising the most viable alternatives within the decision space. This is done by considering the influential factors, or parameters and determining their relative importance to the overall decision making process. It should be noted that the application of MCDM is not merely theoretical. The analysis conducted using MCDM approaches incorporates the use of a sophisticated algorithm to deliver tangible and actionable output. The primary objective of this paper is to apply an MCDM approach specifically to the renewable energy technology sector. Further, it aims to identify and highlight the key criteria that are the most essential to the successful implementation and advancement of renewable energy systems. VL - 8 IS - 2 ER -
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