In this study, a one-dimensional transient heat-transfer model for a coke-oven battery is developed and an adaptive fuel-control strategy is proposed. The model couples the combustion chamber, refractory wall, and coking chamber via a unit-cell concep...
In this study, a one-dimensional transient heat-transfer model for a coke-oven battery is developed and an adaptive fuel-control strategy is proposed. The model couples the combustion chamber, refractory wall, and coking chamber via a unit-cell concept, enabling fast battery-scale simulations compared with three-dimensional CFD. The control strategy adjusts the fuel-flow rate according to the estimated coking progress.
Simulation results show clear trade-offs between fuel saving and coke quality. A moderate fuel reduction of 16% lowers the average combustion-gas and coking-chamber temperatures by only 1.87% and 1.96%, respectively, while a fuel-normalized quality index improves by 3%. In contrast, reductions above 30% shorten the high-temperature residence time and deteriorate quality.
Because the method is implemented purely in software, it can be retrofitted without hardware modification. At 16% fuel saving, CO₂ emissions are reduced approximately in proportion to fuel use, and optimized combustion conditions help suppress NOx. The proposed model and control scheme provide a practical basis for low-carbon operation of coke ovens in integrated steelworks.