Master's dissertation detailing mathematical modeling, dynamic simulation, and predictive control strategies to optimize energy performance of solar thermal cooling systems.
This thesis explores mathematical modeling and dynamic simulation of medium-temperature solar cooling facilities. It evaluates Model Predictive Control (MPC) algorithms designed to manage complex thermal dynamics across solar collectors, absorption chillers, and thermal storage units.
This research established foundational control strategies subsequently implemented and published in industrial energy process control journals.