TY - JOUR
T1 - Adaptive hydrogen buffering for enhanced flexibility in constrained transmission grids with integrated renewable energy system
AU - Shahzad, Sulman
AU - Alsenani, Theyab R.
AU - Alrumayh, Omar
AU - Altamimi, Abdullah
AU - Kilic, Heybet
N1 - Publisher Copyright:
© 2025 Hydrogen Energy Publications LLC
PY - 2025/7/3
Y1 - 2025/7/3
N2 - The increasing adoption of renewable energy sources, such as wind and solar, underscores the urgent need for innovative solutions to address variability and grid constraints. Adaptive Hydrogen Buffering (AHB) is a transformative framework that integrates dynamic buffering thresholds, priority switching, and grid-responsive scheduling to optimize hydrogen production and mitigate challenges associated with renewable integration. AHB enables the dynamic allocation of electrolysis capacity, real-time adjustments to hydrogen storage, and predictive alignment with grid demand and market conditions. In simulations conducted in northern Norway's Finnmark region, AHB reduced renewable energy curtailment by 58%, decreased hydrogen production costs to €1.72/kg, and improved grid stability indices by 32%, showcasing its potential to enhance energy efficiency and reduce costs. Furthermore, AHB achieves up to 88% hydrogen production efficiencies, reduces curtailment penalties from €50/MWh to €10/MWh, and increases the return on investment (ROI) for renewable energy projects from 8.4% to 12.5%. These results emphasize AHB's scalability and economic advantages, offering a robust pathway for integrating renewable energy into hydrogen production while contributing significantly to decarbonization goals.
AB - The increasing adoption of renewable energy sources, such as wind and solar, underscores the urgent need for innovative solutions to address variability and grid constraints. Adaptive Hydrogen Buffering (AHB) is a transformative framework that integrates dynamic buffering thresholds, priority switching, and grid-responsive scheduling to optimize hydrogen production and mitigate challenges associated with renewable integration. AHB enables the dynamic allocation of electrolysis capacity, real-time adjustments to hydrogen storage, and predictive alignment with grid demand and market conditions. In simulations conducted in northern Norway's Finnmark region, AHB reduced renewable energy curtailment by 58%, decreased hydrogen production costs to €1.72/kg, and improved grid stability indices by 32%, showcasing its potential to enhance energy efficiency and reduce costs. Furthermore, AHB achieves up to 88% hydrogen production efficiencies, reduces curtailment penalties from €50/MWh to €10/MWh, and increases the return on investment (ROI) for renewable energy projects from 8.4% to 12.5%. These results emphasize AHB's scalability and economic advantages, offering a robust pathway for integrating renewable energy into hydrogen production while contributing significantly to decarbonization goals.
KW - Decarbonization
KW - Dynamic scheduling
KW - Electrolysis optimization
KW - Grid stability enhancement
KW - Hydrogen storage efficiency
KW - Renewable energy utilization
UR - http://www.scopus.com/inward/record.url?scp=85218861492&partnerID=8YFLogxK
U2 - 10.1016/j.ijhydene.2025.02.316
DO - 10.1016/j.ijhydene.2025.02.316
M3 - Article
AN - SCOPUS:85218861492
SN - 0360-3199
VL - 144
SP - 637
EP - 651
JO - International Journal of Hydrogen Energy
JF - International Journal of Hydrogen Energy
ER -