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.