Predictive Control of a Solar Cooling Plant

Project Overview

This project focuses on the modeling and predictive control of a real medium-temperature solar cooling system. The system allows for modification of the plant's configuration to optimize performance.

Key aspects:

• Detailed Modeling: Combination of first-principle equations and identification techniques.
• Hybrid MPC: Computes optimal plant configuration over a 6-hour prediction horizon.
• Energy Optimization: Minimizes gas consumption while maintaining system variables at set points.