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Investigation of the Process Conditions for Hydrogen Production by Steam Reforming of Glycerol over Ni/Al(2)O(3) Catalyst Using Response Surface Methodology (RSM)

In this work; a response surface methodology (RSM) was implemented to investigate the process variables in a hydrogen production system. The effects of five independent variables; namely the temperature (X(1)); the flow rate (X(2)); the catalyst weight (X(3)); the catalyst loading (X(4)) and the gly...

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Detalles Bibliográficos
Autores principales: Ebshish, Ali, Yaakob, Zahira, Taufiq-Yap, Yun Hin, Bshish, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453264/
https://www.ncbi.nlm.nih.gov/pubmed/28788567
http://dx.doi.org/10.3390/ma7032257
Descripción
Sumario:In this work; a response surface methodology (RSM) was implemented to investigate the process variables in a hydrogen production system. The effects of five independent variables; namely the temperature (X(1)); the flow rate (X(2)); the catalyst weight (X(3)); the catalyst loading (X(4)) and the glycerol-water molar ratio (X(5)) on the H(2) yield (Y(1)) and the conversion of glycerol to gaseous products (Y(2)) were explored. Using multiple regression analysis; the experimental results of the H(2) yield and the glycerol conversion to gases were fit to quadratic polynomial models. The proposed mathematical models have correlated the dependent factors well within the limits that were being examined. The best values of the process variables were a temperature of approximately 600 °C; a feed flow rate of 0.05 mL/min; a catalyst weight of 0.2 g; a catalyst loading of 20% and a glycerol-water molar ratio of approximately 12; where the H(2) yield was predicted to be 57.6% and the conversion of glycerol was predicted to be 75%. To validate the proposed models; statistical analysis using a two-sample t-test was performed; and the results showed that the models could predict the responses satisfactorily within the limits of the variables that were studied.