Hydrogen is proposed as a green energy source to use in the power turbines and hybrid cycles, fuel cells, and vehicles to produce electricity and heat without emission of carbon and nitrogen oxides and soot.
The partial oxidation, steam reforming, and auto-thermal reforming of hydrocarbons, coal and biomass gasification and electrolysis are common routes to produce hydrogen. The purpose of modeling and optimization is to improve, analyze and predict Hydrogen production.
Hydrogen production depends on a number of variables, including pH, temperature, substrate concentration and nutrient availability, among others. Mathematical modeling of several distinct processes such as kinetics of reactants and products formation, steady state behavior of substrate along with its utilization and inhibition have been great impact on Hydrogen production. Hydrogen Process Modeling and Optimization Process, summarizes the experimental design methods and investigate effects of various factors on hydrogen production, In addition, the applications of artificial computational network are component analysis and optimization process are finding desirability function and cost estimation of the total process.
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