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.
Skip Nav Destination
Article navigation
July 2018
Research-Article
Statistical Modeling of Hydrogen Production Via Carbonaceous Catalytic Methane Decomposition
Vidyasagar Shilapuram,
Vidyasagar Shilapuram
Department of Chemical Engineering,
National Institute of Technology,
Warangal 506004, Telangana, India
National Institute of Technology,
Warangal 506004, Telangana, India
Search for other works by this author on:
Bishwadeep Bagchi,
Bishwadeep Bagchi
Department of Chemical Engineering,
National Institute of Technology,
Warangal 506004, Telangana, India
National Institute of Technology,
Warangal 506004, Telangana, India
Search for other works by this author on:
Nesrin Ozalp,
Nesrin Ozalp
Fellow ASME
Department of Mechanical
and Industrial Engineering,
University of Minnesota,
Duluth, MN 55812
e-mail: nozalp@d.umn.edu
Department of Mechanical
and Industrial Engineering,
University of Minnesota,
Duluth, MN 55812
e-mail: nozalp@d.umn.edu
Search for other works by this author on:
Richard Davis
Richard Davis
Department of Chemical Engineering,
University of Minnesota,
Duluth, MN 55812
University of Minnesota,
Duluth, MN 55812
Search for other works by this author on:
Vidyasagar Shilapuram
Department of Chemical Engineering,
National Institute of Technology,
Warangal 506004, Telangana, India
National Institute of Technology,
Warangal 506004, Telangana, India
Bishwadeep Bagchi
Department of Chemical Engineering,
National Institute of Technology,
Warangal 506004, Telangana, India
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
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
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. Jul 2018, 140(7): 072006 (8 pages)
Published Online: March 20, 2018
Article history
Received:
September 29, 2017
Revised:
January 21, 2018
Citation
Shilapuram, V., Bagchi, B., Ozalp, N., and Davis, R. (March 20, 2018). "Statistical Modeling of Hydrogen Production Via Carbonaceous Catalytic Methane Decomposition." ASME. J. Energy Resour. Technol. July 2018; 140(7): 072006. https://doi.org/10.1115/1.4039323
Download citation file:
Get Email Alerts
Cited By
Numerical Study of Composite Percussive Drilling With Consideration of Heat Transfer Between Drilling Fluid and Bottom-Hole Rock in Geothermal Drilling
J. Energy Resour. Technol (June 2023)
An Investigation of the Impact of Combustion Chamber Geometry on Turbulent Burning Speeds in a Thermodynamic Model
J. Energy Resour. Technol (June 2023)
Synergy in Syngas Yield From Co-Pyrolysis of Cow and Chicken Manures
J. Energy Resour. Technol (June 2023)
Related Articles
A New Approach for Modeling the Thermal Behavior of Methane Catalytic Partial Oxidation Monolith Reactors
J. Fuel Cell Sci. Technol (February,2010)
Numerical Analysis of the Heat and Mass Transfer Characteristics in an Autothermal Methane Reformer
J. Fuel Cell Sci. Technol (October,2010)
Hydrogen Production by Carbon-Catalyzed Methane Decomposition Via Thermogravimetry
J. Energy Resour. Technol (January,2017)
Numerical Simulation of Operating Parameters in a Methane Fueled Steam Reforming Reactor
J. Fuel Cell Sci. Technol (October,2011)
Related Proceedings Papers
Related Chapters
New Generation Reactors
Energy and Power Generation Handbook: Established and Emerging Technologies
Introduction
Nanomaterials in Glucose Sensing: Biomedical & Nanomedical Technologies - Concise Monographs
A High Temperature Tubular Solar Receiver for Production of Hydrogen and Carbon Nanoparticles from Methane Cracking
Inaugural US-EU-China Thermophysics Conference-Renewable Energy 2009 (UECTC 2009 Proceedings)