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

Jiaqi Qian,

Rui Peng

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 110, С. 371 - 385

Опубликована: Март 1, 2024

Язык: 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

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 106, С. 305 - 317

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

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

Akvile Giedraityte,

Sigitas Rimkevičius, Mantas Marčiukaitis

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(4), С. 1744 - 1744

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 106, С. 834 - 849

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

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, Год журнала: 2025, Номер 109, С. 1397 - 1411

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

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, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

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

Jiaqi Qian,

Rui Peng

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 110, С. 371 - 385

Опубликована: Март 1, 2024

Язык: Английский

Процитировано

2