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Research Papers: Energy Systems Analysis

Statistical Modeling of Hydrogen Production Via Carbonaceous Catalytic Methane Decomposition

[+] Author and Article Information
Vidyasagar Shilapuram, Bishwadeep Bagchi

Department of Chemical Engineering,
National Institute of Technology,
Warangal 506004, Telangana, India

Nesrin Ozalp

Fellow ASME
Department of Mechanical
and Industrial Engineering,
University of Minnesota,
Duluth, MN 55812
e-mail: nozalp@d.umn.edu

Richard Davis

Department of Chemical Engineering,
University of Minnesota,
Duluth, MN 55812

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received September 29, 2017; final manuscript received January 21, 2018; published online March 20, 2018. Editor: Hameed Metghalchi.

J. Energy Resour. Technol 140(7), 072006 (Mar 20, 2018) (8 pages) Paper No: JERT-17-1522; doi: 10.1115/1.4039323 History: Received September 29, 2017; Revised January 21, 2018

Hydrogen production via carbonaceous catalytic methane decomposition is a complex process with simultaneous reaction, catalyst deactivation, and carbon agglomeration. Conventional reaction and deactivation models do not predict the progress of reaction accurately. Thus, statistical modeling using the method of design of experiments (DoEs) was used to design, model, and analyze experiments of methane decomposition to determine the important factors that affect the rates of reaction and deactivation. A variety of statistical models were tested in order to identify the best one agreeing with the experimental data by analysis of variance (ANOVA). Statistical regression models for initial reaction rate, catalyst activity, deactivation rate, and carbon weight gain were developed. The results showed that a quadratic model predicted the experimental findings. The main factors affecting the dynamics of the methane decomposition reaction and the catalyst deactivation rates for this process are partial pressure of methane, reaction temperature, catalytic activity, and residence time.

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Figures

Grahic Jump Location
Fig. 1

Experimental versus predicted initial rate for DUT-19 (2-level for T and 2-level for P)

Grahic Jump Location
Fig. 2

Experimental versus predicted initial rate for CMK-3 (2-level for T and 2-level for P)

Grahic Jump Location
Fig. 3

Experimental versus predicted rate for DUT-19 and CMK-3 (3-level each for T and P)

Grahic Jump Location
Fig. 6

(a) Experimental versus predicted catalysts activity at transition for DUT-19, (b) experimental versus predicted catalysts activity at transition for CMK-3, and (c) experimental versus predicted catalysts activity at transition for Fluka-05105 and Fluka-05120

Grahic Jump Location
Fig. 7

(a) Experimental versus predicted deposited carbon weight gain per mass of CMK-3 catalyst before transition and (b) experimental versus predicted deposited carbon weight gain per mass of CMK-3 catalyst after transition

Grahic Jump Location
Fig. 4

Estimated coefficients for reaction rate of DUT-19 (factors Td, P/P0, and a)

Grahic Jump Location
Fig. 5

Estimated coefficients for deactivation rate of DUT-19 (Factors Td, P/P0, and a)

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