Details of Grant 

EPSRC Reference:	GR/L67806/01
Title:	UNDERSTANDING AND OPTIMISING REBURN THROUGH VISUALISATION
Principal Investigator:	Smith, Dr D
Other Investigators:	Pilling, Professor M Wright, Dr H
Researcher Co-Investigators:
Project Partners:	British Gas Numerical Algorithms Group Ltd (NAG) UK
Department:	Fuel and Energy
Organisation:	University of Leeds
Scheme:	Standard Research (Pre-FEC)
Starts:	05 January 1998	Ends:	04 January 2001	Value (£):	77,002
EPSRC Research Topic Classifications:	Combustion
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
Related Grants:
Panel History:
Summary on Grant Application Form
Recent advances in computing power available for modelling combustion chemistry have resulted in data being generated much faster than it can be assimilated. Graphical approaches offer the best way forward but their use is still very limited, often amounting to little more than the production of plots of concentrations or sensitivities versus, say, time or temperature. Furthermore, currently available techniques offer little support for interpreting this information and using it to improve the model: in short, the modelling and output phases remain distinct. Visualisation is now recognised as a key technology in understanding large datasets, whilst recent research in this field has produced ways of close-coupling the two activities of computation and visualisation. This project will develop a novel methodology for optimising reaction mechanisms and industrial combustion processes in which the presentation of results is an intrinsic, integrated part. The work follows two threads: in the first, advanced techniques for visualising reaction flow diagrams will be developed and used to optimise reaction mechanisms; in the second a linked-reactor model, together with the necessary data management tools, will be used to optimise the process of reburn for Nox control in order to demonstrate the benefits of the proposed approach.
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Organisation Website:	http://www.leeds.ac.uk