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EPSRC Reference: GR/L57289/01
Title: UNIVERSAL CHARACTERISATION OF COKE STRUCTURE & DISTRIBUTION FOR HYDROCARBON CONVERSION PROCESS CATALYSTS
Principal Investigator: Hughes, Professor R
Other Investigators:
Snape, Professor CE Hall, Professor PJ
Researcher Co-Investigators:
Project Partners:
BP ICI Pre Nexus Migration
Department: Advanced Materials & Surfaces (Res Cen)
Organisation: University of Salford
Scheme: Standard Research (Pre-FEC)
Starts: 01 September 1997 Ends: 31 August 2000 Value (£): 72,104
EPSRC Research Topic Classifications:
Catalysis & Applied Catalysis
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
Although the deactivation of heterogeneous catalysts via coking has been the subject of much investigation, there is insufficient basic knowledge to develop truly predictive models for coke deposition that would optimise the design and operation of a number of important hydrocarbon conversion processes in the oil and petrochemical industries. To overcome this drawback, a generic scheme will be developed to characterise both the structure and spatial distribution of catalytic coke and it will be applied to FCC, reforming and hydrotreating catalysts. The scheme uses the quantitative solid state 13 C NMR methodology developed at Strathclyde to determine the bulk structure of hard coke, in conjunction with appropriate chromatographic and spectrometric techniques to detect the entrained molecular species (soft coke). These techniques with the pore size distributions elucidated by SANS, Hg porosimetry, surface area and 129 Xe NMR measurements will provide all the information needed to develop predictive models for deactivation behaviour. A fundamental understanding of the important changes in coke structure that occur in stripping FCC catalysts and govern regeneration will be obtained. For reforming and hydrotreating processes, the scheme will be used to relate coke composition with loss of activity with time on stream in order to predict catalyst lifetimes.
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Organisation Website: http://www.salford.ac.uk