Boiler Performance Audit & Optimisation
A fireside-additive programme should begin with a baseline and defined measurement plan. Tracking fuel-to-steam ratio, ash carbon, stack temperature, O₂, CO and deposit condition allows the plant to determine whether treatment is delivering value.
Operating context
A fireside-additive programme should begin with a baseline and defined measurement plan. Tracking fuel-to-steam ratio, ash carbon, stack temperature, O₂, CO and deposit condition allows the plant to determine whether treatment is delivering value.
Boiler performance in this sector is influenced by fuel quality, production load, steam-demand variation, maintenance condition and the cleanliness of heat-transfer surfaces. A systematic fireside programme helps the operating team connect fuel behaviour with measurable boiler performance.
Common problems observed
- Incomplete combustion, smoke or high carbon in ash
- Hard clinker on the grate or fuel bed
- Slag and fouling on furnace or tube surfaces
- Increasing stack temperature as heat transfer deteriorates
- Frequent soot blowing or manual cleaning
- Reduced steam generation for the same fuel input
- Forced stoppages and reduced boiler availability
Recommended monitoring points
Record fuel consumption, steam generation, stack temperature, oxygen, carbon monoxide, ash carbon, furnace draft, clinker condition, cleaning frequency and production load. Photographs of deposits taken from the same inspection points are useful for comparison.
How Agnisol is used
The appropriate fuel-specific Agnisol additive is added consistently with the solid fuel through automatic metering or controlled manual dosing. Performance is reviewed over two to four weeks, and dosage is optimised against measured results.
Expected practical outcomes
The programme aims to improve fuel burnout, reduce hard deposit formation, keep heat-transfer areas cleaner and increase the time between cleaning interventions. Any fuel saving should be confirmed from the fuel-to-steam or fuel-to-production ratio rather than estimated visually.
