Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming

Validity and usefulness of the proposed methodology are demonstrated optimizing the set-point of a combined heat, power and cooling system, under different seasonal load conditions and energy prices. We demonstrate that an optimized strategy would reduce the total daily cost from 8% to about 100%, depending on seasonal load, with respect to rule based control strategies, such as heat-tracking and electrical tracking.