Details of Grant 

EPSRC Reference:	GR/J47347/01
Title:	ULTRA LOW NOX, LOW PRESSURE LOSS, MODULATED TURBULENT BURNERS LEAN COM BUSTION PROCESS HEATING APPLICATIONS
Principal Investigator:	Andrews, Professor GE
Other Investigators:	Pourkashanian, Professor M
Researcher Co-Investigators:
Project Partners:
Department:	Fuel and Energy
Organisation:	University of Leeds
Scheme:	Standard Research (Pre-FEC)
Starts:	24 February 1994	Ends:	23 August 1997	Value (£):	164,782
EPSRC Research Topic Classifications:	Combustion
EPSRC Industrial Sector Classifications:	Energy
Related Grants:
Panel History:
Summary on Grant Application Form
There is a large class of process burner applications which use laminar flame bar burners which operate typically with 30% excess air, from domestic central heating systems through to larger industrial process heating units. NOx emissions from these are required to be reduced and it is very difficult to achieve large reductions using laminar flame bar burners. Also there is a requirement to improve the operating efficiency of these burners by designs that will allow modulation of the fuel flow as a means of controlling the heat output, rather than the on-off control used at present. Both of these problems are addressed in this proposal by a drastic change from laminar flame burner to turbulent flame low pressure loss burners. Preliminary work has shown that it is feasible to stabilise lean turbulent flames with an acceptable air flow pressure loss of <5mb. This work will investigate simple variable geometry burner concepts to achieve burner modulation with rapid fuel and air shear layer mixing combustion systems that have exhibited ultra low NOx emissions in other higher burner pressure loss applications. There will be an associated programme of CFD NOx predictions using a CFD post-processor developed at Leeds which will be further developed for this lean combustion low pressure loss application. The large residence times may encourage NOx formation and water tube flame heat transfer may quench CO burn-out and produce NO2 formation. Predictions of CO, NO and NO2 emissions will be made.
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