International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 80, P. 542 - 553
Published: July 17, 2024
Language: Английский
International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 80, P. 542 - 553
Published: July 17, 2024
Language: Английский
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: June 20, 2024
Abstract This study explores the feasibility of utilizing bedded salt deposits as sites for underground hydrogen storage. We introduce an innovative artificial intelligence framework that applies multi-criteria decision-making and spatial data analysis to identify most suitable locations storing in caverns. Our approach integrates a unified platform with eight distinct machine-learning algorithms—KNN, SVM, LightGBM, XGBoost, MLP, CatBoost, GBR, MLR—creating rock deposit suitability maps The performance these algorithms was evaluated using various metrics, including Mean Squared Error (MSE), Absolute (MAE), Percentage (MAPE), Root Square (RMSE), Correlation Coefficient (R 2 ), compared against actual dataset. CatBoost model demonstrated exceptional performance, achieving R 0.88, MSE 0.0816, MAE 0.1994, RMSE 0.2833, MAPE 0.0163. novel methodology, leveraging advanced machine learning techniques, offers unique perspective assessing potential is valuable asset stakeholders, government bodies, geological services, renewable energy facilities, chemical/petrochemical industry, aiding them identifying optimal
Language: Английский
Citations
12Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1614 - 1614
Published: Feb. 5, 2025
The aim of this study is to review and identify H2 storage suitability in geological reservoirs the Republic Lithuania. Notably, Lithuania can store clean effectively competitively because its wealth resources well-established infrastructure. viability Lithuanian contexts highlighted study. In addition, when it comes injectivity capacity, salt caverns saline aquifers present less a challenge than other kinds medium. possesses sizable subterranean (Cambrian rocks) that be utilized H2. For preliminary assessment, cyclic injection, production simulation performed. A 10-year hydrogen injection recovery Syderiai aquifer demonstrated feasibility UHS, though efficiency was reduced by nearly 50% using single well for both production. suggests separate wells improve efficiency. However, guarantee economic containment security, detailed assessment structures required specifically at pore scale level. volumetric approach estimated combined capacity approximately 898.5 Gg (~11 TWh) Vaskai aquifers, significantly exceeding previous estimates. findings underscore importance data further research on hydrogen-specific factors optimize UHS Addressing technical, geological, environmental challenges through multidisciplinary essential advancing implementation supporting Lithuania’s transition sustainable energy system. makes possible maximize use energy, reduce greenhouse gas emissions, build more resilient Hence, intensive advancements are needed broader applications
Language: Английский
Citations
1International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 790 - 805
Published: Feb. 6, 2025
Language: Английский
Citations
1Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 114, P. 115900 - 115900
Published: Feb. 21, 2025
Language: Английский
Citations
1International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 109, P. 995 - 1007
Published: Feb. 15, 2025
Language: Английский
Citations
0Gas Science and Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 205470 - 205470
Published: Oct. 1, 2024
Language: Английский
Citations
2International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 93, P. 250 - 272
Published: Nov. 2, 2024
Language: Английский
Citations
2International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 80, P. 542 - 553
Published: July 17, 2024
Language: Английский
Citations
0