E
Eric Croiset
Researcher at University of Waterloo
Publications - 154
Citations - 7105
Eric Croiset is an academic researcher from University of Waterloo. The author has contributed to research in topics: Catalysis & Flue gas. The author has an hindex of 40, co-authored 150 publications receiving 6302 citations. Previous affiliations of Eric Croiset include Natural Resources Canada & Sandia National Laboratories.
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Techno-economic study of CO2 capture from an existing coal-fired power plant: MEA scrubbing vs. O2/CO2 recycle combustion
TL;DR: In this article, the authors present a comparison of the performance of the two approaches using the commercial process simulation packages, Hysys & Aspen Plus, and show that both processes are expensive options to capture CO2 from coal power plants, however O2/CO2 appears to be a more attractive retrofit than MEA scrubbing.
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Performance comparison of Fick’s, dusty-gas and Stefan–Maxwell models to predict the concentration overpotential of a SOFC anode
R. Suwanwarangkul,Eric Croiset,Michael Fowler,Peter L. Douglas,Evgueniy Entchev,Mark A. Douglas +5 more
TL;DR: In this article, the authors developed models for mass transport inside a porous SOFC anode based on Fick's model (FM), the dusty-gas model (DGM) and the Stefan-Maxwell model (SMM) to predict the concentration overpotential.
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Combustion characteristics of coal in a mixture of oxygen and recycled flue gas
TL;DR: In this article, the combustion of coal in a mixture of pure O2 and recycled flue gas is one variant of a novel combustion approach called oxy-fuel combustion, which leads to a stream highly enriched in CO2.
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Review of methane catalytic cracking for hydrogen production
TL;DR: In this article, the authors discuss the catalysts that can be used for methane cracking, and their deactivation and regeneration are discussed, including carbon filament formation, the reaction mechanisms, and the models available in the literature for predicting reaction rates.
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Simulation of CO2 capture using MEA scrubbing: a flowsheet decomposition method
TL;DR: In this paper, the authors present a method of decomposing the flow sheet that assists in converging the process flow sheet and in optimizing key process operating variables, in particular the amine loadings and temperature of MEA entering the stripper.