Hydrogen production using ethylene glycol steam reforming in a micro-reformer: Experimental analysis, multivariate polynomial regression and genetic programming modeling approaches

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@Article{KIADEHI:2020:JTICE,

• author = "Afshin Dehghani Kiadehi and Majid Taghizadeh and Mohammad Javad Azarhoosh and Abbas Aghaeinejad-Meybodi",
• title = "Hydrogen production using ethylene glycol steam reforming in a micro-reformer: Experimental analysis, multivariate polynomial regression and genetic programming modeling approaches",
• journal = "Journal of the Taiwan Institute of Chemical Engineers",
• year = "2020",
• volume = "112",
• pages = "20--33",
• keywords = "genetic algorithms, genetic programming, Hydrogen, Ethylene glycol, Steam reforming, Micro-reformer, Multivariate polynomial regression",
• ISSN = "1876-1070",
• URL = "http://www.sciencedirect.com/science/article/pii/S1876107020301784",
• DOI = "doi:10.1016/j.jtice.2020.07.012",
• size = "14 pages",
• abstract = "Three types of catalysts, i.e. Pt/g-alumina (PGA), Ni/g-alumina (NGA) and Ni-Pt/g-alumina (NPGA), were prepared by incipient wetness impregnation (IWI) and deposited on a micro-reformer for hydrogen production byethylene glycol steam reforming (EGSR). Multivariate polynomial regression (MPR) and genetic programming(GP) approaches were used to model the EGSR process based on experimental data. In these models, temperature and weight hourly space velocity (WHSV) as independent variables and ethylene glycol (EG) conversion, H2 selectivity, H2 yield and CO selectivity were considered as target functions. Based on the results, the GP model predicts objective functions with the highest prediction power and this model was selected as the optimal model. For example, for the NGA catalyst and the dependent variable of EG conversion, the values of correlation coefficient (R2) and root mean squared error (RMSE) were 0.9980 and 1.3191, respectively based on the GP model while for the best MPR (cubic) model; these parameters were 0.9735 and 4.2476, respectively. The results showed that the EG conversion values for the NPGA bimetallic catalyst were higher than for the PGA or NGA monometallic catalysts. The maximum values of EG conversion, H2 selectivity and H2 yield for all the catalysts were obtained at a temperature of 450 degree Celsius and at a WHSV of 80.8 h",
• notes = "Chemical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran",

}

Genetic Programming entries for Afshin Dehghani Kiadehi Majid Taghizadeh Mohammad Javad Azarhoosh Abbas Aghaeinejad-Meybodi

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