A recent study published in Heliyon has introduced an innovative approach to evaluating renewable energy resources using advanced mathematical techniques. Led by Zeeshan Ali from the Department of Information Management at the National Yunlin University of Science and Technology in Taiwan, this research explores the complexities of assessing various renewable energy options, which is essential for informed decision-making in the energy sector.
The study employs a novel framework based on circular bipolar complex fuzzy (Cir-BCF) sets, which are designed to handle uncertain and vague information. This framework extends traditional fuzzy set theory, allowing for a more nuanced analysis of energy sources such as solar, hydroelectric, geothermal, biomass, and wind energy. As Ali notes, “Analysis of renewable energy resources is very awkward and complicated,” highlighting the challenges faced by stakeholders in determining the most effective energy solutions.
One of the key techniques developed in the research is the use of Frank operational laws combined with Cir-BCF values. This includes various operators like the Cir-BCF frank power averaging and weighted averaging operators, which enhance the assessment of renewable energy sources. The study also introduces the evaluation method based on the distance from the average solution (EDAS), which aids in ranking these energy options under conditions of uncertainty.
The commercial implications of this research are significant. By providing a more reliable framework for assessing renewable energy resources, companies can make better investment decisions, optimize their energy portfolios, and ultimately enhance sustainability efforts. With the global shift towards greener energy solutions, tools like those developed by Ali could empower businesses to identify the most viable energy sources tailored to their specific needs and conditions.
This work not only advances theoretical understanding but also offers practical applications for energy companies striving to navigate the complexities of renewable energy sourcing. As the demand for clean energy continues to rise, methodologies that simplify decision-making processes will be increasingly valuable.
For more information on this research and its implications, you can visit lead_author_affiliation.
