[ storage ] to smooth out the variability of renewable sources . This is particularly important in regions with high renewable energy potential but limited grid infrastructure .
Comparative energy storage models : PyPSA-Eur , Ninja , and StoreFast
Several models have been used to analyse the effectiveness of different energy storage solutions , and in all of them , the H-Battery consistently emerges as a top contender . Three key programmes – PyPSA-Eur , Ninja , and StoreFast – provide compelling evidence of the H-Battery ’ s potential to revolutionise the energy market . 1 . PyPSA-Eur ( EU Data Model ) Aarhus University carried out simulations using the PyPSA-Eur model , focusing on energy storage in Europe up to 2050 . This model showed that the H-Battery , especially in its DAC-FC configuration , could effectively displace Open Cycle Gas Turbines ( OCGT ) from the market . The simulation predicted a market potential of 120 GW for the
H-Battery , growing towards 200 GW as the price per kW drops from € 1,000 to € 750 . These results highlight the scalability of the H-Battery and its ability to capture significant market share as it becomes more cost-competitive .
2 . Ninja ( UK Data ) The Ninja programme , which analysed energy storage needs in the UK ( see Figure 5 ), further supports the case for the H-Battery . This model concluded that the H-Battery outperformed other solutions for back-up requirements over four hours , making it the optimal choice for long-term energy storage . The fast response time of the H-Battery – from charging to discharging – makes it a natural choice for providing grid stability . In scenarios where backup requirements extend beyond four hours , the H-Battery ’ s versatility eliminates the need for additional storage solutions .
3 . StoreFast ( US Data from NREL ) The StoreFast model of the National Renewable Energy Laboratory ( NREL )
Fig . 5 . Energy Storage Ninja , Competitive Landscape model
Hydrogen Tech World | Issue 19 | December 2024 21