Intern Numerical Optimization of Heat Exchanger Process Model
The internship aims to develop a computationally efficient framework for simulating complex heat exchanger (HEX) process models in gPROMS. By optimizing numerical methods, we aim to reduce computation time while maintaining model accuracy significantly, enabling faster scenario analysis and better decision-making in heat treatment unit designs and operations.
What we ask
To be successful in this position, you are/have:
- A Master study, preferably in the areas of (bio)chemical engineering, process technology, food technology or similar fields.
- Strong affinity to process (mechanistic) modelling and surrogate modelling, preferably experienced with gPROMS software.
- Solving ODEs/PDEs for transient and steady-state simulations.
- Implementing numerical techniques such as finite difference, finite volume, or method of lines.
- Knowledge and experiences with various heat treatment such as plate heat exchangers and tubular heat exchangers.
- Knowledge of dairy processes is a plus.
- Current student with EU nationality or enrolled at a Dutch educational institute.
What we offer
- We offer an interesting and challenging internship position.
- Providing you the opportunity to develop yourself in your work field.
- You can count on sufficient professional supervision.
- A reasonable internship allowance.
Vacancy description
The Approach:
To achieve the aim of this project the following tasks are foreseen:
- Familiarization with gPROMS: Gain a thorough understanding of the gPROMS environment and review the library's existing HEX model topology.
- Literature Review: Conduct a comprehensive literature review of different numerical approaches to identify the most promising methods for enhancing computation speed.
- Implementation: Implement the selected numerical approach in gPROMS to demonstrate improved computation speed.
- Comparison and Validation: Compare the optimized model with the existing solution to ensure compatibility and validate the computation speed and accuracy improvements.
Main deliverables:
- Efficient HEX Model: Develop a computationally efficient heat exchanger model compatible with the existing gPROMS library.
- Project Report: Document the methodology, steps, and findings, including a comparison with the existing solution to highlight improvements in computation speed and performance.
Team Details
See all colleagues on LinkedInFor thousands of people every day, we are more than just a dairy company. To our farmers, our employees, the communities we serve, the businesses we work with and the people to whom we bring happiness, FrieslandCampina means something more. For them it's not just about what we do, but who we are.
We value talented people from any background who want to contribute to something bigger than themselves. We encourage all of our employees to make decisions that benefit our entire company. At FrieslandCampina we own our own career and act accordingly. We trust you to make a difference in your job and influence the bigger picture. Working at FrieslandCampina means you are contributing to a better world.
The intern will be part of the cluster Process Control and Modelling technology at the department of Global Process Technology (GPT) in FrieslandCampina R&D. In GPT, we power the business to win in the market and realize smart factories of the futures. We aim for a clever valorization of our farmers milk and also for a better world by introducing new technologies and lift current processes to the highest level, thus creating carbon and water neutral production sites.
Within the cluster of Process Control and Modelling technology, we contribute to the projects within GPT with expertise on process development (how do you best develop a new process?), developing optimal process conditions to get the preferred quality of food and ingredients with the right balance between costs and sustainability impact and developing solutions for future challenges in the field of dairy processes.