Single-Valued Neutrosophic Graphs for Energy Analysis of Various Power Plants

The paper presents an innovative approach to energy analysis in power plants using single-valued neutrosophic graphs (SVNG). It begins by establishing the relevance of graph theory in modeling complex systems and introduces the concept of graph energy within the neutrosophic set framework, which is particularly useful for handling indeterminate and inconsistent information. The study applies this methodology to evaluate and compare four types of power plants by considering its interdependency factors such as location, water availability, cost, and fuel type, the research models the degree of truth, indeterminacy, and falsity for each power plant using SVNG. MATLAB is used to analyze the energy of these graphs, to find the most suitable option based on the energy score function. This research offers a novel decision-making tool for the energy sector, demonstrating the effectiveness of neutrosophic graphs in managing the uncertainties inherent in power plant selection and energy analysis.