Development of a digital twin for SOEC system using a dynamic approach
Semester project or Master thesis
Fall 2024
Objectives
To develop a digital twin for a SOEC system in a flowsheeting software as a standalone technology, to predict the system output subject to changes in the operating conditions by considering a dynamic approach. The operating strategy should be optimized aimed at maximizing the harvesting of renewable energy. *The heat exchanger network should be considered to optimize the use of resources of the SOEC, minimizing the use of hot and cold utilities while incorporating safety and operational constraints.
Profile
- Interest in process flowsheeting, energy integration and process optimization.
- Experience with process simulation (e.g. Aspen Plus, Gproms)
- Knowledge on programming using R, Python and Lua is desirable.
Project plan
The study includes:
- literature review in SOEC dynamic systems,
- process simulation in flowsheeting software,
- energy integration and heat exchange network optimization,
- analysis of the techno-economic and environmental impact of the proposed systems,
- opportunities for optimising the use of resources.
Observation
The project is related to the Metharen project (https://metharen.eu/), supervised by IPESE and interacted with industrial partners.
Supervisors
Meire Domingos, meire.ribeirodomingos@epfl.ch, François Maréchal, francois.marechal@epfl.ch