This project develops an intelligent cyber-physical system for controlled environment agriculture (and in particular, greenhouses) aiming to optimize food production quality, quantity and schedule in balance with operational cost and resource usages. Different components of the system include sensing, control & monitoring, and energy management. The details of the project can be found here.
The particular tasks our lab is involved in include the following:
1. Develop an energy management system that uses stochastic models of loads (greenhouse LEDs) and generation (solar) for planning purposes. This is done by solving stochastic dynamic programs over battery storage charging profile to minimize the cost of electricity from the grid.
2. Develop model-based, optimal lighting control strategies based on the output of the energy management system.