Thermodynamic and conductivity properties of chemical mixtures using fuzzy logic modeling

Abstract Determining the thermodynamic properties of salt compositions used in energy storage and conversion systems is crucial for electrical applications. This article examines the thermodynamic values of various salt compositions under different temperature and pressure conditions. Additionally, the use of the salt compositions considered in the article is discussed in electrochemistry, battery technology, and other electrical applications. The thermodynamic properties and advantages of each salt mixture are highlighted to show potential application areas and provide readers with a broad perspective. Using data and thermodynamic modeling, the performance of three different salt mixtures (salt (60NaNO 3 _40KNO 3 ), salt (58KF_42ZrF 4 ), salt (25KF_75KBF 4 )) on energy systems was compared. The results obtained were evaluated in terms of energy and exergy efficiencies and net work production for each mixture. The analyses showed that although the salt (25KF_75KBF 4 ) mixture produces the highest net work, its exergy efficiency is lower than the other mixtures. Numerical data were sourced from the EES (Engineering Equation Solver) library. System performance and efficiencies were examined in detail through simulations using fuzzy logic methods and Python programs. This usage offers practical solutions to increase energy storage systems and contributes to the distribution of salt mixtures used especially in solar power plants and industrial energy conversion systems. The selected optimal salt compositions provide an important roadmap for cost‐effective and sustainable energy production by increasing both the energy area and exergy capacity.