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CPOTE2020 logo
6th International Conference on
Contemporary Problems of Thermal Engineering
Online | 21-24 September 2020

Abstract CPOTE2020-1254-A

Book of abstracts draft
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An analysis of carbon deposition during the reforming of heavy hydrocarbons using Gaussian process regression

Wojciech KONCEWICZ, AGH University of Science and Technology, Poland
Marcin MOŹDZIERZ, AGH University of Science and Technology, Poland
Grzegorz BRUS, AGH University of Science and Technology, Poland

Biogas, Landfill Gas, Associated Petroleum Gas, and other gases accompanying various industrial processes are potential sources of hydrogen and carbon monoxide for solid oxide fuel cells via the reforming process. As these gases contain heavy hydrocarbons, fine-tuning of steam and carbon dioxide additions and specific temperature control are necessary to avoid carbon deposition during the reforming process. Numerical simulation plays a crucial role in designing miniaturized steam reforming reactors and optimal working conditions. All simulations must account for carbon deposition. The method commonly used for thermodynamic analysis of carbon deposition includes free energy minimization or parametric equations. This paper utilizes Gaussian Process Regression (GPR) as a tool for making predictions, which reforming parameters are suitable for carrying out this process without danger of damaging catalyst due to a carbon formation. Unlike conventional methods, the GPR approach bypasses computation of equilibrium composition and therefore has the advantage of being computationally less expensive without significant loss of accuracy. This may prove to be useful, especially in large numerical models.

Keywords: Solid oxide fuel cell (SOFC), Fuel reforming, Gaussian process regression (GPR), Numerical simulation, Carbon deposition
Acknowledgment: The present work was financially supported by the Polish Ministry of Science and Higher Education (Grant AGH no.