Chunsheng Jia is a professor in the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation at Southwest Petroleum University, China. He has been named the Sichuan Province Academic and Technology Leader, China. His research interests are in oil and gas reservoir development, intelligent oil field and new energy. He has won the second prize of Sichuan Natural Science Award, three provincial and ministerial science and technology progress awards, and seven Chinese invention patents. More than 130 SCI papers have been published in international academic journals, and the research results have been widely cited and applied by the scholars at home and abroad. He has been elected into the list of the Chinese Most Cited Researchers published by Elsevier for seven consecutive years from 2015 to 2021.

Title:  Hydrogen energy and reaction processes for hydrogen production 

Abstract: Analyzing the current energy consumption structure, we explain that the development of hydrogen energy is an important measure to achieve the strategic goal of peaking of carbon emission and carbon neutralization. Starting from the common chemical reaction equations in industrial hydrogen production, we point out that there exist some faults in dealing with thermodynamic equilibrium calculations and intelligent prediction of operational conditions for hydrogen production by using a conventional combination of the empirical equation of state and the empirical temperature-dependent polynomial heat capacity formula. Here, we report a prediction model for operational conditions of hydrogen production based on the Gibbs free energy formulation stereotype prediction. The present model only involves experimental values of several molecular constants which characterize the molecular structure. The calculation is simple and direct, and a comparison of the predicted values with the results obtained by employing the conventional thermodynamic calculation method shows the effectiveness of the model. The developed prediction model provides a new way for developing intelligent prediction software on chemical reaction conditions for hydrogen production.