Improving industrial processes and operations is essential both for optimizing performances and reducing environmental impacts. The use of models and simulation techniques allows for the identification of inefficiencies, energy and raw materials consumption and, more generally, better resources management. This thesis explores the simulation of all the different separation units in solvent recovery area in a pharmaceutical company and modelling of fermentation data. These techniques are needed to improve the performances and standardize the process, to reduce variability with respect to the several operative conditions and external factors that may impact the process. Regarding the solvent recovery process, simulations have been performed to accurately represent the real behavior for all the separation units. These are divided in workspaces based on the specific solvent to be recovered. The results of simulations were useful to carry out the design of a cooling tower to be implemented in the company in order to reduce the dependency on external water resources. For the fermentation process, a model which represents the trend of microorganism, product and substrates concentrations has been developed and implemented, based on similar models for other biobased pharmaceutical processes. By fitting the model to different set of experimental data, the optimal parameters are retrieved. These are the key to create a more general model able to predict microbial growth and metabolite production under various conditions.
Modeling and simulation of fermentation and solvent recovery units to improve the performances of an industrial pharmaceutical plant
FABRIZI, FILIPPO
2023/2024
Abstract
Improving industrial processes and operations is essential both for optimizing performances and reducing environmental impacts. The use of models and simulation techniques allows for the identification of inefficiencies, energy and raw materials consumption and, more generally, better resources management. This thesis explores the simulation of all the different separation units in solvent recovery area in a pharmaceutical company and modelling of fermentation data. These techniques are needed to improve the performances and standardize the process, to reduce variability with respect to the several operative conditions and external factors that may impact the process. Regarding the solvent recovery process, simulations have been performed to accurately represent the real behavior for all the separation units. These are divided in workspaces based on the specific solvent to be recovered. The results of simulations were useful to carry out the design of a cooling tower to be implemented in the company in order to reduce the dependency on external water resources. For the fermentation process, a model which represents the trend of microorganism, product and substrates concentrations has been developed and implemented, based on similar models for other biobased pharmaceutical processes. By fitting the model to different set of experimental data, the optimal parameters are retrieved. These are the key to create a more general model able to predict microbial growth and metabolite production under various conditions.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/77785