Parameters for the Grinding Process in Vertical Mills Using Optimization Methods

Jorge Paredes; Jaime Cepeda; Jorge Lozada

doi:10.37116/revistaenergia.v20.n2.2024.594

Parameters for the Grinding Process in Vertical Mills Using Optimization Methods

Parámetros para el Proceso de Molienda en Molinos Verticales Usando Métodos de Optimización

Published 2024-01-17

https://doi.org/10.37116/revistaenergia.v20.n2.2024.594

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Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II

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EFICIENCIA ENERGÉTICA

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Parameters for the Grinding Process in Vertical Mills Using Optimization Methods. (2024). Revista Técnica "energía", 20(2), PP. 90-97. https://doi.org/10.37116/revistaenergia.v20.n2.2024.594

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https://doi.org/10.37116/revistaenergia.v20.n2.2024.594

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Parameters for the Grinding Process in Vertical Mills Using Optimization Methods. (2024). Revista Técnica "energía", 20(2), PP. 90-97. https://doi.org/10.37116/revistaenergia.v20.n2.2024.594

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Jorge Paredes

Escuela Politécnica Nacional

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https://orcid.org/0009-0002-2256-3018

Jaime Cepeda

Escuela Politécnica Nacional

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Jorge Lozada

Unión Cementera Nacional

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https://orcid.org/0009-0009-0016-0913

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efficiency

grinding process

optimization

vertical mill

Vertical roller mills, VRMs, are widely used for grinding raw materials in factories engaged in the extraction and processing of minerals. Any machine used for grinding or crushing consumes around 30 to 40% of the energy of a factory. The loading pressure, table rotation speed, moisture content, outlet temperature and pressure rollers are variables that can be controlled to decrease the specific energy consumption Ecs. This paper poses an optimization problem in order to reduce the energy consumption of a VRM used to produce cement and to find the optimal parameters of the operating variables. Several packages are used to solve the nonlinear programming problem, obtaining very concise results, but the results provided by the Pyomo package are used. Comparing the result of the objective function with the energy consumption of a well-known cement company in Ecuador, it is concluded that the optimized parameters are able to reduce by 25% the energy consumption guaranteeing a minimum production of 2200 tons of cement per day, so the model is correctly validated.

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