Physics-informed data-driven Bayesian network for the risk analysis of hydrogen refueling stations DOI
Jinduo Xing,

Jiaqi Qian,

Rui Peng

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 110, P. 371 - 385

Published: March 1, 2024

Language: Английский

Two-layer multi-timescale rolling optimization of electric-hydrogen hybrid energy storage systems considering renewable energy uncertainties DOI

Meijia Wei,

Jian Chen, Wen Zhang

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 305 - 317

Published: Feb. 3, 2025

Language: Английский

Citations

1
Hybrid Renewable Energy Systems—A Review of Optimization Approaches and Future Challenges DOI Creative Commons

Akvile Giedraityte,

Sigitas Rimkevičius, Mantas Marčiukaitis

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1744 - 1744

Published: Feb. 8, 2025

The growing need for sustainable energy solutions has propelled the development of Hybrid Renewable Energy Systems (HRESs), which integrate diverse renewable sources like solar, wind, biomass, geothermal, hydropower and tidal. This review paper focuses on balancing economic, environmental, social technical criteria to enhance system performance resilience. Using comprehensive methodologies, examines state-of-the-art algorithms such as Multi-Objective Particle Swarm Optimization (MOPSO) Non-Dominated Sorting Genetic Algorithm II (NSGA-II), alongside Crow Search (CSA), Grey Wolf Optimizer (GWO), Levy Flight-Salp (LF-SSA), Mixed-Integer Linear Programming (MILP) tools HOMER Pro 3.12–3.16 MATLAB 9.1–9.13, have been instrumental in optimizing HRESs. Key findings highlight role advanced, multi-energy storage technologies stabilizing HRESs addressing intermittency sources. Moreover, integration metaheuristic with machine learning enabled dynamic adaptability predictive optimization, paving way real-time management. HRES configurations cost-effectiveness, environmental sustainability, operational reliability while also emphasizing transformative potential emerging quantum computing are underscored. provides critical insights into evolving landscape offering actionable recommendations future research practical applications achieving global sustainability goals.

Language: Английский

Citations

1
Investigating the impact of wind speed variability on optimal sizing of hybrid wind-hydrogen microgrids for reliable power supply DOI
Victor Eniola, Jack Cimorelli,

Christopher Niezrecki

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 834 - 849

Published: Feb. 8, 2025

Language: Английский

Citations

0
Minimizing expected loss of surplus energy in high-penetration renewable microgrids: Dynamic control of hybrid hydrogen and battery energy storage systems DOI
Mohammadreza Gholami, Fooad Karımı Ghaleh Jough

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 109, P. 1397 - 1411

Published: Feb. 18, 2025

Language: Английский

Citations

0
A novel approach for hydrogen production integrating a heliostat-assisted solar tower and a thermal energy storage-aided membrane reformer: A study on the steam reforming of ethanol DOI

Renato da Silva Pereira,

Jornandes Dias da Silva

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Physics-informed data-driven Bayesian network for the risk analysis of hydrogen refueling stations DOI
Jinduo Xing,

Jiaqi Qian,

Rui Peng

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 110, P. 371 - 385

Published: March 1, 2024

Language: Английский

Citations

2