Final colloquium Stijn van Muiden

Title:  Dynamic Mode Decomposition for Aquifer Thermal Energy Storage

Supervisor: Mohammad Khosravi

Abstract: This thesis investigates the application of Dynamic Mode Decomposition (DMD) for modelling and control of Aquifer Thermal Energy Storage (ATES) systems. The goal was to develop a linear model capable of predicting the thermal energy stored in the aquifer for optimal control purposes. Despite promising theoretical foundations, the results showed that the linear model only performed well under certain conditions. Attempts to enhance the model using hybrid techniques provided marginal improvements. Additionally, the search for effective lifting functions to find a suitable Koopman operator was inconclusive, with spatial and time-delay coordinates offering slight but limited enhancements. Ultimately, the linear model was able to accurately predict well temperatures during injection phases, while extraction phases exhibited a steady temperature decrease, independent of flow rate. Further research is needed to refine these models and explore alternative approaches for more reliable ATES models