SIROLLCIS Furnace Optimization    Dynamic process optimization for Reheat Furnaces

A completely integrated solution that provides optimally heated pieces to hot rolling operations while minimizing fuel consumption. The solution is suitable for all types of furnaces (walking beam, pusher, rotary hearth, etc.), for all types of products (slabs, billets, blooms, etc.), and for a wide range of steel grades, including carbon steels, stainless steels, and specialty steels.

SIROLLCIS Furnace Optimization visualization The challenge Hot rolling operations need high-quality reheated slabs, billets, or blooms at the lowest possible cost at the mill’s optimal production rate. The heating strategy has a major influence on both the quality of reheated pieces and on the amount of fuel used for reheating. A traditional, non-optimized heating strategy may seem sufficient under steady state conditions but does not provide optimal quality and cost performance when there are interruptions in production, variations in product grades or dimensions, or variations in target dropout temperatures. In today’s marketplace, a solution is needed to deliver the highest quality and lowest cost heating under all conditions with minimal impact on the environment.

Our solution

SIROLLCIS Furnace Optimization is a complete hardware and software solution that provides the latest technology in supervisory control of the reheat furnace. The system calculates and tracks the thermal condition of individual pieces inside the furnace, including hot-charged pieces. Based on this information, optimal zone temperature setpoints and furnace production rates are determined. The system takes into account both planned and unplanned delays in rolling production – minimizing fuel consumption during idle times, and optimizing the ramp-up of setpoints in anticipation of continued production. The optimized heating strategy results in accurate discharge temperatures, minimal surface scale formation, minimal decarburization, minimal fuel consumption, and minimal environmental emissions – all while respecting the desired piece to piece dropout rate and maximum temperature gradient within each piece. The system is well-proven in many applications for slab, billet and bloom reheating furnaces with various configurations, including walking beam, pusher, rotary hearth, etc.

Good reasons for SIROLLCIS Furnace Optimization

Reduced energy costs – fuel consumption reduced by 6 to 15%

Consistent discharge temperature performance – average bulk temperature within 1% of target temperature

Reduced scale formation and decarburization – surface quality is improved as a result of optimized heating strategy

High productivity – quality goals are achieved while respecting the desired production rate. Tight control of dropout temperature, so no need to overheat to be “safe”.

Improved rolling mill gauge performance – temperature consistency from piece to piece and within each piece results in consistent hot rolling stock

Environmental Care

Reduced consumption of hydrocarbon fuels

Reduced CO, CO2, NOx, and SOx emissions