Mixed Integer Linear Programming Model for the Optimal Operation of a Dual Source Heat Pump

This paper presents a mixed integer linear programming (MILP) model to optimally operate a dual source heat pump (DSHP). The DSHP draws environmental energy from an underground ice storage tank (IST) or wind infrared sensitive collectors (WISC). WISC is further used to regenerate the IST. The thermal output of the DSHP is stored in a thermal energy storage (TES). A single-objective optimization approach is applied to minimize the operational cost of the DSHP over a scheduling horizon of 24h. The developed framework is tested on various days, which are representative for each season of the year. Furthermore, it is investigated how variable electricity price market data influence the dynamic behaviour of the DSHP