Phase Equilibria Simulation of Biomaterial-Hydrogen Binary Systems Using a Simple Empirical Correlation

This study proposes a simple correlation for approximating hydrogen solubility in biomaterials as function of pressure and temperature. The pre-exponential term the proposed model linearly relates to pressure, whereas exponential is merely differential evolution (DE) optimization algorithm helps adjust three unknown coefficients correlation. estimates 134 literature data points with an excellent absolute average relative deviation (AARD) 3.02% coefficient determination (R) 0.99815. Comparing analysis justifies that developed has higher accuracy than multilayer perceptron artificial neural network (MLP-ANN) same number adjustable parameters. Arrhenius-type not only needs lower computational effort, it also PR (Peng-Robinson), PC-SAFT (perturbed-chain statistical associating fluid theory), SRK (Soave-Redlich-Kwong) equations state. Modeling results show studied increases increasing temperature pressure. Furthermore, furan furfuryl alcohol maximum minimum absorption capacities, respectively. Such understanding biochemical–hydrogen phase equilibria which are necessary design, optimize, control biofuel production plants.