Otimização de combustíveis alternativos em fornos verticais de fluxo paralelo regenerativo na indústria da cal.

This work aims at presenting a solution to minimize the cost of fuels by optimizing the dosing of raw-materials and fuels, considering environmental restrictions. As case study, a lime production of a company located in the Center- West region of Minas Gerais was analyzed. The results were compared using three optimization algorithms, that is: Sequential Quadratic Programming (SQP), Teaching-Learning-Based Optimization (TLBO) and Interior Point (PI). The algorithms used showed a satisfactory solution, with a small difference between them for the optimal values. As results obtained by the model can be mentioned: Composition of the fuel mixture, replacing a percentage of Coke by Charcoal and Coffee hull, Cost of production using alternative fuels.