Identifying And Quantifying Energy Savings On Fired Plant Using Low Cost Modelling Techniques

Combustion in fired heaters, boilers and furnaces often accounts for the major energy consumption on industrial processes. Small improvements in efficiency can result in large reductions in energy consumption, CO2 emissions, and operating costs. This paper will describe some useful low cost modelling techniques based on the zone method to help identify energy saving opportunities on high temperature fuel-fired process plant. The zone method has for many decades, been successfully applied to small batch furnaces through to large steel-reheating furnaces, glass tanks, boilers and fired heaters on petrochemical plant. Zone models can simulate both steady-state furnace operation and more complex transient operation typical of a production environment. These models can be used to predict thermal efficiency and performance, and more importantly, to assist in identifying and predicting energy saving opportunities from such measures as: Improving air/fuel ratio and temperature controls. Improved insulation. Use of oxygen or oxygen enrichment. Air preheating via flue gas heat recovery. Modification to furnace geometry and hearth loading. There is also increasing interest in the application of refractory coatings for increasing surface radiation in fired plant. All of the techniques can yield savings ranging from a few percent upwards and can deliver rapid financial payback, but their evaluation often requires robust and reliable models in order to increase confidence in making financial investment decisions. This paper gives examples of how low cost modelling techniques can be applied to improve confidence in implementing energy efficiency improvements whilst safeguarding manufacturing output and quality.

Author
R Tuckera & J Ward
Origin
Zerontec Energy Consultancy & University Glamorgan
Journal Title
Applied Energy 89 1 2013 127-132
Sector
General
Class
G 4085

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Identifying And Quantifying Energy Savings On Fired Plant Using Low Cost Modelling Techniques
Applied Energy 89 1 2013 127-132
G 4085
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