Variability of Data in High Throughput Experimentation for Catalyst Studies in Fuel Processing

*Niels T.J. Luchters  -  HySA/Catalysis Centre of Competence, University of Cape Town, Private Bag X3, Rondebosch 7701, South Africa
J.V. Fletcher  -  HySA/Catalysis Centre of Competence, University of Cape Town, Private Bag X3, Rondebosch 7701,, South Africa
S.J. Roberts  -  Centre for Catalysis Research, Department of Chemical Engineering, University of Cape Town, , South Africa
J.C.Q. Fletcher  -  Centre for Catalysis Research, Department of Chemical Engineering, University of Cape Town, , South Africa
Received: 23 Sep 2016; Revised: 18 Nov 2016; Accepted: 22 Nov 2016; Published: 30 Apr 2017; Available online: 13 Feb 2017.
Open Access Copyright (c) 2017 Bulletin of Chemical Reaction Engineering & Catalysis
License URL:

Citation Format:
Cover Image

The use of high throughout and combinatorial experimentation is becoming commonplace in catalytic research. The benefits of parallel experiments are not only limited to reducing the time-to-market, but also give an opportunity to study processes in more depth, by generating more data. To investigate the complete parameter space, multiple experiments must be performed and the variability between these experiments must be quantifiable. In this project, the reproducibility and variance in high throughput catalyst preparation and parallel testing were determined. High-performance equipment was used in a catalyst development program for fuel processing, the production of fuel cell-grade hydrogen from hydrocarbon fuels. Four studies, involving water-gas shift conversion and high-temperature steam methane reforming, were performed to determine the reproducibility of the workflow from automated catalyst preparation to parallel activity testing. Statistical analyses showed the standard deviation in catalytic activities as determined by conversion, to be less than 6% of the average value. Copyright © 2017 BCREC GROUP. All rights reserved

Received: 23rd September 2016; Revised: 18th November 2016; Accepted: 22nd November 2016

How to Cite: Luchters, N.T.J., Fletcher, J.V., Roberts, S.J., Fletcher, J.C.Q. (2017). Variability of Data in High Throughput Experimentation for Catalyst Studies in Fuel Processing.  Bulletin of Chemical Reaction Engineering & Catalysis, 12 (1): 106-112 (doi:10.9767/bcrec.12.1.708.106-112)



Keywords: High throughput; Fuel processing; Steam methane reforming; Water-Gas shift; Hydrogen production; Reproducibility

Article Metrics:

  1. Acar, C., Dincer, I. (2015). Impact Assessment and Efficiency Evaluation of Hydrogen Production Methods. International Journal of Energy Research, 39:1757-1768
  2. Farrauto, R., Hwang, S., Shore, L., Ruettinger, W., Lampert, J., Giroux, T., Liu, Y., Ilinich, O. (2003). New Material Needs for Hydrocarbon Fuel Processing: Generating Hydrogen for the PEM Fuel Cell. Annual Reviews of Materials Research, 33: 1-27
  3. Kobayashi, T., Ueda, A., Yamada, Y., Shioyama, H. (2004). A Combinatorial Study on Catalytic Synergism in Supported Metal Catalysts for Fuel Cell Technology. Applied Surface Science, 223: 102-108
  4. Dincer, I., Zamfirescu, C. (2012). Sustainable Hydrogen Production Options and the Role of IAHE. International Journal of Energy Research, 37: 16266-16286
  5. Kolb, G. (2008). Fuel Processing for Fuel Cells, Weinheim, Germany, WILEY-VCH Verlag GmbH & Co
  6. Ercolino, G., Ashraf, M.A., Specchia, V., Specchia, S. (2015). Performance Evaluation and Comparison of Fuel Processors Integrated with PEM Fuel Cell Based on Steam or Autothermal Reforming and on CO Preferential Oxidation or Selective Methanation. Applied Energy, 143: 138-153
  7. Maier, W.F., Stöwe, K., Sieg, S. (2007). Combinatorial and High-Throughput Material Science. Angewandte Chemie International Edition, 46: 6016-6067
  8. Farrusseng, D. (2008). High-Throughput Heterogeneous Catalysis. Surface Science Reports, 63: 487-513
  9. Potyrailo, R., Rajan, K., Stöwe, K., Takeuchi, I., Chisholm, B., Lam, H. (2011). Combinatorial and High-Throughput Screening of Materials Libraries: Review of State of the Art. ACS Combinatorial Science, 13: 579-633
  10. Maclean, D., Baldwin, J.J., Ivanov, V.T., Kato, Y., Shaw, A., Schneider, P. (1999). Glossary of Terms used in Combinatorial Chemistry, International Union of Pure and Applied Chemistry, 71: 2349-2365

Last update: 2021-05-17 10:27:48

No citation recorded.

Last update: 2021-05-17 10:27:48

  1. Transfer learning combined with high-throughput experimentation framework for integrated biorefinery

    Pogaku R.. Horizons in Bioprocess Engineering, 2019. doi: 10.1007/978-3-030-29069-6_17
  2. Platinum based catalysts in the water gas shift reaction: Recent advances

    Palma V.. Metals, 10 (7), 2020. doi: 10.3390/met10070866
  3. Synthesis, characterisation and water-gas shift activity of nano-particulate mixed-metal (Al, Ti) cobalt oxides

    Wolf M.. Dalton Transactions, 48 (36), 2019. doi: 10.1039/c9dt01634a
  4. Hydrogen-rich gas production by steam reforming of n-dodecane. Part II: Stability, regenerability and sulfur poisoning of low loading Rh-based catalyst

    Vita A.. Applied Catalysis B: Environmental, 127 , 2017. doi: 10.1016/j.apcatb.2017.06.059
  5. Water-gas shift of reformate streams over mono-metallic PGM catalysts

    Roberts S.. International Journal of Hydrogen Energy, 43 (12), 2018. doi: 10.1016/j.ijhydene.2018.01.193
  6. High specific surface area supports for highly active Rh catalysts: Syngas production from methane at high space velocity

    Italiano C.. International Journal of Hydrogen Energy, 43 (26), 2018. doi: 10.1016/j.ijhydene.2018.01.136
  7. Experimental methods in chemical engineering: High throughput catalyst testing — HTCT

    Ortega C.. Canadian Journal of Chemical Engineering, 2021. doi: 10.1002/cjce.24089