Consequently, the optimal energy storage configuration is obtained by minimizing the net present cost (NPC), which includes initial investment (IC), operation cost (OPC) and replacement costs (RC), as calculated by Eq. (24). Due to the relatively small impact of system maintenance costs , they are neglected in this study.
Fig. 7 illustrates the system performance of the PV-BES system under different LSCRs. As shown in Fig. 7 (a), the optimal capacities of the BES for LSCRs of 0.1 and 0.2 are the same, at 531.75 kWh. When the LSCR ranges from 0.3 to 0.9, the optimal capacity of the BES system increases to 714.33 kWh.
Therefore, the integration of PV-energy storage systems can greatly reduce the dependence on the power grid, thereby facilitating more flexible regulation for building energy systems. The optimal storage capacities are determined by solving the established MILP model by CPLEX for the PV-TES system, PV-BES system, and PV-HES system.
For the baseline case, the energy for the standard air conditioning load is fully supplied by the heat pump. To reduce the computation cost in the energy storage sizing optimization, some studies simplify the COPs for cooling and heating of the HVAC system models by using fixed values [44, 53, 54].
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