Energy Engineering – Latest Research
Machine-Learning-Powered Breakthrough in Modular Thermal Energy Storage Design
A new study demonstrates how combining CFD simulations with machine-learning surrogate models can reduce thermal energy storage (TES) design time by more than 99%, marking a major step in enabling scalable renewable-energy systems.