Abstract
Can process intensification change the future of biodiesel? presents the answers for improving biodiesel production with process systems engineering tools such as membrane reactor modeling and superstructure optimization.
A novel membrane reactor model with dynamic functions of reversible and irreversible fouling and a new dynamic membrane cleaning model have been developed for biodiesel production. The models can be used to capture the cyclic behavior of the membrane reactor and identify an optimal operating cycle that balances cleaning costs and production capacity.
The superstructure model is a network of different alternative options and brings the optimization of biodiesel production from equipment level to process level. An optimal route to produce biodiesel from tallow with reactive distillation and heterogenous acid catalyst is found by solving the superstructure optimization problem. The impacts of different uncertainties such as the prices of feedstock and products, and the production capacity on the total profit of a biodiesel refinery are analyzed. From the technical assessment with the superstructure, process intensification technologies such as reactive distillation are important for biodiesel production in particular and the process industry in general.
The thesis discusses the potential of process intensification and digital twin applications in the energy transition of the process industries. The digital twin offers high quality and dynamic models which can be used to develop, test, and improve not only the process intensification designs but also their operating conditions. Therefore, the combination reduces the investments for prototypes and pilot plants as well as the costs of adjusting the physical equipment, allowing a prosperous future for biodiesel.
A novel membrane reactor model with dynamic functions of reversible and irreversible fouling and a new dynamic membrane cleaning model have been developed for biodiesel production. The models can be used to capture the cyclic behavior of the membrane reactor and identify an optimal operating cycle that balances cleaning costs and production capacity.
The superstructure model is a network of different alternative options and brings the optimization of biodiesel production from equipment level to process level. An optimal route to produce biodiesel from tallow with reactive distillation and heterogenous acid catalyst is found by solving the superstructure optimization problem. The impacts of different uncertainties such as the prices of feedstock and products, and the production capacity on the total profit of a biodiesel refinery are analyzed. From the technical assessment with the superstructure, process intensification technologies such as reactive distillation are important for biodiesel production in particular and the process industry in general.
The thesis discusses the potential of process intensification and digital twin applications in the energy transition of the process industries. The digital twin offers high quality and dynamic models which can be used to develop, test, and improve not only the process intensification designs but also their operating conditions. Therefore, the combination reduces the investments for prototypes and pilot plants as well as the costs of adjusting the physical equipment, allowing a prosperous future for biodiesel.
| Original language | English |
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| Qualification | Doctor of Philosophy |
| Awarding Institution |
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| Supervisors/Advisors |
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| Award date | 22 Sept 2022 |
| Place of Publication | Enschede |
| Publisher | |
| Print ISBNs | 978-90-365-5421-3 |
| DOIs | |
| Publication status | Published - 22 Sept 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Biodiesel
- Superstructure Optimization
- Process Intensification
- AIMMS
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Dive into the research topics of 'Can process intensification change the future of biodiesel?'. Together they form a unique fingerprint.Research output
- 2 Article
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Dynamic modeling of fouling over multiple biofuel production cycles in a membrane reactor
Huynh, T. A. & Zondervan, E., Apr 2022, In: Chemical Product and Process Modeling. 17, 2, p. 153-170 18 p., 20200093.Research output: Contribution to journal › Article › Academic › peer-review
3 Link opens in a new tab Citations (Scopus) -
Novel dynamic cleaning model for cyclic operation of biodiesel membrane reactors
An Huynh, T., Raeisi, M., Franke, M. B. & Zondervan, E., 2021, In: Chemical engineering transactions. 88, p. 883-888 6 p.Research output: Contribution to journal › Article › Academic › peer-review
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