Wind–Photovoltaic–Electrolyzer-Underground Hydrogen Storage System for Cost-Effective Seasonal Energy Storage DOI Creative Commons
Torsten Clemens, Martin Hunyadi-Gall, Andreas Lunzer

и другие.

Energies, Год журнала: 2024, Номер 17(22), С. 5696 - 5696

Опубликована: Ноя. 14, 2024

Photovoltaic (PV) and wind energy generation result in low greenhouse gas footprints can supply electricity to the grid or generate hydrogen for various applications, including seasonal storage. Designing integrated wind–PV–electrolyzer underground storage (UHS) projects is complex due interactions between components. Additionally, capacities of PV relative electrolyzer capacity fluctuating prices must be considered project design. To address these challenges, process modelling was applied using cost components parameters from a Austria. The part derived an Austrian hydrocarbon field UHS. results highlight impact renewable source (RES) sizing capacity, influence different wind-to-PV ratios, benefits selling hydrogen. For case study, levelized (LCOH) EUR 6.26/kg RES-to-electrolyzer ratio 0.88. Oversizing reduces LCOH 2.61 €/kg when sales revenues, 4.40/kg excluding them. Introducing annually linked RES optimal ratio. dynamically adjusted response market developments. UHS provides areas with mismatches production consumption. main are compression, conditioning, wells, cushion gas. project, (LCHS) 0.80 €/kg, facilities contributing 0.33/kg, wells 0.09/kg, 0.23/kg, OPEX 0.16/kg. Overall, analysis demonstrates feasibility RES–hydrogen generation-seasonal regions like Austria, systems that conditions.

Язык: Английский

Optimizing underground hydrogen storage performance through multi-well strategies in depleted gas reservoirs DOI
Axel Perwira Indro, Hichem Chellal, Mohamed Lamine Malki

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 106, С. 672 - 685

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

4
Techno-economic analysis and site screening for underground hydrogen storage in Intermountain-West region, United States DOI
Wen Zhao, Shaowen Mao, Mohamed Mehana

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 109, С. 275 - 286

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

3
Molecular simulation of hydrogen adsorption in subsurface systems with implications for underground storage DOI
Hyeonseok Lee, Timothy C. Germann, Michael R. Gross

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 114, С. 71 - 80

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

2
Deep Learning for Subsurface Flow: A Comparative Study of U‐Net, Fourier Neural Operators, and Transformers in Underground Hydrogen Storage DOI Creative Commons
Shaowen Mao,

Alvaro Carbonero,

Mohamed Mehana

и другие.

Journal of Geophysical Research Machine Learning and Computation, Год журнала: 2025, Номер 2(1)

Опубликована: Март 1, 2025

Abstract Subsurface flow research is essential for the sustainable management of natural resources and environment. Deep learning (DL) has significantly advanced this field by developing efficient accurate surrogate models to replace computationally expensive physics‐based simulations. These are commonly used predict spatiotemporal evolution state variables, such as gas saturation reservoir pressure, in heterogeneous geological formations. Despite various DL applied task, there a lack studies systematically comparing their performance. This absence comparative analysis leads somewhat arbitrary model selection subsurface research, resulting suboptimal performance potentially inaccurate predictions. To bridge gap, we conduct systematic comparison study three popular architectures—U‐Net, Fourier Neural Operators (FNO), Segmentation Transformer (SETR)—in modeling underground hydrogen storage (UHS). We focus on UHS due its promise enhancing clean energy resilience cyclic operational conditions that represent common scenarios applications. evaluate based accuracy, training cost, inference speed. The shows U‐Net achieves highest followed SETR FNO. lower FNO offers competitive accuracy with least memory usage, demonstrating potential transformers flow. Our results provide guidance selecting wide range problems.

Язык: Английский

Процитировано

1
Molecular Insights into Geochemical Reactions of Iron-Bearing Minerals: Implications for Hydrogen Geo-Storage DOI
Hyeonseok Lee, Ruyi Zheng, Liangliang Huang

и другие.

ACS Sustainable Chemistry & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

1
Analytical study of bioclogging effects in underground hydrogen storage DOI
Siqin Yu, Shaowen Mao, Mohamed Mehana

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 94, С. 862 - 870

Опубликована: Ноя. 16, 2024

Язык: Английский

Процитировано

5
Numerical simulation of seasonal underground hydrogen storage: Role of the initial gas amount on the round-trip hydrogen recovery efficiency DOI

Tianjia Huang,

George J. Moridis, T. A. Blasingame

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 88, С. 289 - 312

Опубликована: Сен. 20, 2024

Язык: Английский

Процитировано

4
Temperature dependence of hydrogen diffusion in reservoir rocks: implications for hydrogen geologic storage DOI Creative Commons
Yun Yang, Amber Zandanel, Shimin Liu

и другие.

Energy Advances, Год журнала: 2024, Номер 3(8), С. 2051 - 2065

Опубликована: Янв. 1, 2024

This study presents a comprehensive experimental dataset on the temperature-dependent diffusion of hydrogen (H 2 ) in reservoir rocks. The results demonstrate that H diffuses through rocks up to 100 times faster than methane (CH 4 ).

Язык: Английский

Процитировано

3
Laboratory evaluation of cyclic underground hydrogen storage in the temblor sandstone of the San Joaquin Basin, California DOI Creative Commons
Bijay KC, Luke Frash,

Isaac Daniel Mantelli

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 129, С. 117280 - 117280

Опубликована: Июнь 5, 2025

Язык: Английский

Процитировано

0
Wind–Photovoltaic–Electrolyzer-Underground Hydrogen Storage System for Cost-Effective Seasonal Energy Storage DOI Creative Commons
Torsten Clemens, Martin Hunyadi-Gall, Andreas Lunzer

и другие.

Energies, Год журнала: 2024, Номер 17(22), С. 5696 - 5696

Опубликована: Ноя. 14, 2024

Photovoltaic (PV) and wind energy generation result in low greenhouse gas footprints can supply electricity to the grid or generate hydrogen for various applications, including seasonal storage. Designing integrated wind–PV–electrolyzer underground storage (UHS) projects is complex due interactions between components. Additionally, capacities of PV relative electrolyzer capacity fluctuating prices must be considered project design. To address these challenges, process modelling was applied using cost components parameters from a Austria. The part derived an Austrian hydrocarbon field UHS. results highlight impact renewable source (RES) sizing capacity, influence different wind-to-PV ratios, benefits selling hydrogen. For case study, levelized (LCOH) EUR 6.26/kg RES-to-electrolyzer ratio 0.88. Oversizing reduces LCOH 2.61 €/kg when sales revenues, 4.40/kg excluding them. Introducing annually linked RES optimal ratio. dynamically adjusted response market developments. UHS provides areas with mismatches production consumption. main are compression, conditioning, wells, cushion gas. project, (LCHS) 0.80 €/kg, facilities contributing 0.33/kg, wells 0.09/kg, 0.23/kg, OPEX 0.16/kg. Overall, analysis demonstrates feasibility RES–hydrogen generation-seasonal regions like Austria, systems that conditions.

Язык: Английский

Процитировано

3