
New Model Brings HT-ATES into the Heart of Energy Systems
A new study by David Geerts and Wen Liu from Utrecht University and Alexandros Daniilidis from TU Delft presents a groundbreaking solution for integrating High-Temperature Aquifer Thermal Energy Storage (HT-ATES) into energy system modeling. The key innovation? A fast, accurate, and openly accessible data-driven model that estimates the production temperature of HT-ATES systems—without the computational cost of traditional physics-based simulations.