Abstract
This paper deals with the optimum operation of a beer filtration process that uses membranes for this task. Due to fouling, the operation requires cleaning, which damages the membranes, and creates a discontinuous operation. The optimal economic operation can be defined in terms of minimizing the number of chemical cleanings, as well as the use of energy, when processing a certain amount of beer in a given time. The problem is hybrid in nature, due to the discontinuities created by the cleanings. The corresponding optimization problem is formulated in the framework of predictive control but integrating the economic operation as target of the controller and different time scales. Also, instead of using binary variables for representing the discontinuities, the problem employs a sequential approach, embedding them in the dynamic simulation of the process model combined with a control parameterization that allows computing the solution in terms of the continuous variables that represent its degrees of freedom. Results of the optimal operation are presented.
Keywords
- Model Predictive Control
- Cake Layer
- Dynamic Optimization Problem
- Chemical Cleaning
- Control Processing Time
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2014 Springer International Publishing Switzerland
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de Prada, C., Cristea, S., Mazaeda, R., Palacín, L.G. (2014). Optimum Operation of a Beer Filtration Process. In: Bock, H., Hoang, X., Rannacher, R., Schlöder, J. (eds) Modeling, Simulation and Optimization of Complex Processes - HPSC 2012. Springer, Cham. https://doi.org/10.1007/978-3-319-09063-4_15
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DOI: https://doi.org/10.1007/978-3-319-09063-4_15
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