The energy storage market in Canada is poised for exponential growth. Increasing electricity demand to charge electric vehicles, industrial electrification, and the production of hydrogen are just some of
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An economic sensitivity analysis of the renewable fraction parameter is conducted to investigate the techno-economic performance of a hybrid energy storage system for Indigenous remote communities in Canada. The model of the system architecture consists of solar PV, wind turbines, BES, and distributed STES, as per Figure 1.
The EFC of the BES is significantly higher in the hybrid energy storage system than in the battery only system. When the HES system is sized, the BES capacity is minimized for optimal cost. Consequently, by integrating the smallest required capacity BES into the system, the total throughput increases.
Lastly, hybridizing the energy storage system with low cost STES reduced the LCODE in all cases and presented with similar percent savings regardless of renewable fraction. This suggests that hybridizing energy storage systems for cost reduction can be equivalently effective at all stages of system decarbonization.
As discussed, the aforementioned literature suggests that coupled hydrogen and battery hybrid energy storage systems have the potential to assist in decarbonizing remote community electricity loads; however, these systems have limited commercial availability for remote communities.
From these results, it was observed that the economic impact that a hybrid storage system has on overall system costs is highly dependent on the more costly storage type, regardless of the relative capacity. LCODE for sensitivity analysis of BES cost. LCODE for sensitivity analysis of STES cost.
A hybrid battery and thermal energy storage system coupled with solar PV and wind generation is modeled in the context of an Indigenous Canadian remote community for the decarbonization of both electrical and thermal energy loads.
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