International Journal of Hydrogen Energy, Год журнала: 2025, Номер 103, С. 538 - 555
Опубликована: Янв. 21, 2025
Язык: Английский
International Journal of Hydrogen Energy, Год журнала: 2025, Номер 103, С. 538 - 555
Опубликована: Янв. 21, 2025
Язык: Английский
International Journal of Hydrogen Energy, Год журнала: 2024, Номер 58, С. 485 - 494
Опубликована: Янв. 25, 2024
Underground hydrogen storage (UHS) offers a promising approach for the of significant volumes gas (H2) within deep geological formations, which can later be utilized energy generation when necessary. Interfacial tension (IFT) between H2 and formation brine plays vital role in influencing distribution at pore scale and, ultimately, capacity. In this research, we developed four intelligent models: Decision Trees (DT), Random Forests (RF), Support Vector Machines (SVM), Multi-Layer Perceptron (MLP). These models were designed to predict IFT utilizing pressure, temperature, molality. Additionally, fine-tuned three explicit correlations previously our research. To assess influence each parameter on IFT, conducted comprehensive analysis raw data exclude doubtful samples. This was followed by rigorous model development, including hyperparameter tuning, finally, an examination using testing data. The results clearly demonstrate superiority RF model, achieving high accuracy reliability with coefficients determination (R2), root mean square error (RMSE), average absolute relative deviation (AARD) values 0.96, 1.50, 1.84 %, respectively. exemplary performance attributed its inherent characteristics. ensemble excels capturing complex relationships, thereby enhancing predictive solidifying over other study. Furthermore, feature importance revealed that temperature has most influence, molality pressure. Moreover, assessed these through external not used initial training stages. Our study highlights exceptional power emphasizing practical selecting enhanced reliability. proposed method shows potential industrial applications, especially optimizing underground storage.
Язык: Английский
Процитировано
18International Journal of Hydrogen Energy, Год журнала: 2024, Номер 70, С. 474 - 492
Опубликована: Май 18, 2024
By offering promising solutions to two critical issues – the integration of renewable energies into energy systems and decarbonization existing hydrogen applications green production through water electrolysis is set play a crucial role in addressing major challenges transition. However, successful sources relies on gaining accurate insights impacts that intermittent electrical supply conditions induce electrolyzers. Despite rising importance intermittency accelerate widespread adoption sources, state-of-the-art lacks research providing an in-depth understanding these concerns. This paper endeavors offer comprehensive review research, focusing proton exchange membrane (PEM) alkaline technologies operating under operation. growing interest over last ten years, underscores scarcity industrial-scale databases for quantifying impacts.
Язык: Английский
Процитировано
18International Journal of Hydrogen Energy, Год журнала: 2024, Номер 65, С. 95 - 111
Опубликована: Апрель 4, 2024
Язык: Английский
Процитировано
17Applied Energy, Год журнала: 2025, Номер 382, С. 125286 - 125286
Опубликована: Янв. 13, 2025
Язык: Английский
Процитировано
3International Journal of Hydrogen Energy, Год журнала: 2025, Номер 103, С. 538 - 555
Опубликована: Янв. 21, 2025
Язык: Английский
Процитировано
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