Economic analysis of large-scale hydrogen energy storage based on the"electric-hydrogen-electric"process
In line with the"carbon peak,carbon neutral"initiative,the significance of hydrogen energy is increasingly recognized.Currently,hydrogen energy storage,based on the"electric-hydrogen-electric"process,is primarily in the demonstration application phase,with energy storage cost being a critical factor for its competitiveness.However,targeted research on the levelized cost of large-scale hydrogen energy storage(LCOES)is lacking.This study addresses this gap by establishing an LCOES model for hydrogen energy storage power and conducting quantitative analysis on a 25 MW scale hydrogen energy storage power station system.Subsequently,LCOES levels are projected for future scenarios.The findings reveal that the LCOES of the hydrogen energy storage system is 4.758 CNY/kWh.Capital expenditures are primarily attributed to the hydrogen production system(44.66%),while operational expenditures are dominated by hydrogen production costs(42.99%).Electricity prices notably influence hydrogen energy storage costs,with every 0.1 CNY/kWh decrease resulting in an 8.18%reduction in LCOES.Although enhancing power generation efficiency is challenging,it substantially impacts the economics of hydrogen energy storage,with every 10%increase leading to an 11.88%to 12.50%reduction in LCOES.A 10%decrease in the prices of hydrogen production and power generation system equipment correlates with a 6.06%decrease in LCOES.Energy storage duration markedly affects LCOES,particularly with shorter durations.Within the 4 to 8 h range,each additional hour of energy storage could decrease LCOES by an average of 0.394 CNY/kWh.As hydrogen production and fuel cell equipment prices decline and efficiency improves,hydrogen energy storage is anticipated to emerge as a competitive technical solution for long-term and extended-duration energy storage applications.
hydrogen energy storageelectric-hydrogen-electriclarge-scalelevelized cost of energy storageeconomic analysis