Elsevier eBooks, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Elsevier eBooks, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Solar Energy, Год журнала: 2023, Номер 263, С. 111942 - 111942
Опубликована: Авг. 11, 2023
Язык: Английский
Процитировано
40Journal of Marine Science and Engineering, Год журнала: 2023, Номер 11(3), С. 617 - 617
Опубликована: Март 15, 2023
The use of green hydrogen as a fuel source for marine applications has the potential to significantly reduce carbon footprint industry. development sustainable and cost-effective method producing gained lot attention. Water electrolysis is best most environmentally friendly hydrogen-based renewable energy. Therefore, identifying ideal operating parameters water process critical production. Three controlling factors must be appropriately identified boost generation, namely time (min), electric voltage (V), catalyst amount (μg). proposed methodology contains following two phases: modeling optimization. Initially, robust model in terms was established using an adaptive neuro-fuzzy inference system (ANFIS) based on experimental dataset. After that, modern pelican optimization algorithm (POA) employed identify duration, voltage, enhance Compared measured datasets response surface (RSM), integration ANFIS POA improved generated by around 1.3% 1.7%, respectively. Overall, this study highlights optimal parameter identification optimizing performance solar-powered electrocatalysis systems production applications. This research could pave way more widespread adoption technology industry, which would help industry’s promote sustainability.
Язык: Английский
Процитировано
32Applied Energy, Год журнала: 2024, Номер 362, С. 122956 - 122956
Опубликована: Март 19, 2024
Язык: Английский
Процитировано
17International Journal of Hydrogen Energy, Год журнала: 2024, Номер 57, С. 338 - 355
Опубликована: Янв. 9, 2024
Язык: Английский
Процитировано
14International Journal of Hydrogen Energy, Год журнала: 2024, Номер 64, С. 650 - 675
Опубликована: Март 30, 2024
Язык: Английский
Процитировано
14International Journal of Hydrogen Energy, Год журнала: 2024, Номер unknown
Опубликована: Май 1, 2024
In the coming years, European Union plans to establish Proton Exchange Membrane (PEM) electrolyzers, each with a 100 MW capacity. However, selection of their locations has not been systematically optimized leverage potential benefits, such as utilizing waste heat from large facilities for district heating. Presently, there are hardly any corresponding system models in literature dynamically simulating PEM electrolyzer this size. This paper introduces first model approach systems, drawing on parameters existing literature. It addresses inconsistency found regarding use exchange current density, which varies by factor 109. A novel optimization process is developed using an auxiliary parameter fit density newfound condition between anode and cathode side. The outcome comprehensive plant, exemplarily adapted Siemens Silyzer 300.
Язык: Английский
Процитировано
10International Journal of Hydrogen Energy, Год журнала: 2023, Номер 49, С. 625 - 645
Опубликована: Сен. 27, 2023
The integration of water electrolysis with renewable energy sources (RESs) constitutes a milestone in the transition to neutral and sustainable systems. attractive features Proton Exchange Membrane (PEM) electrolyzer such as high purity hydrogen, operation pressure, current densities have made it critical technology produce green hydrogen from RESs. Accurate models are required for proper design, analysis, control when connected grid or Amongst various types proposed modeling PEM electrolyzer, electrical circuit easiest, most appealing, straightforward use investigation control. This paper presents an exhaustive review reported literature on electrolyzers. reviewed classified analogously classifications physical terms voltage components (reversible, ohmic, activation, concentration drop), model behavior (static/dynamic), scale (cell/stack). Furthermore, MATLAB simulations implemented results compared pinpoint their similarities deviations. Moreover, applications, challenges, benefits, drawbacks electrolyzer's equivalent discussed overarching recommendations set out further research modeling. can be used comprehensive reference choosing appropriate beginners well industry experts who rely work.
Язык: Английский
Процитировано
23International Journal of Hydrogen Energy, Год журнала: 2023, Номер 49, С. 736 - 746
Опубликована: Ноя. 16, 2023
Язык: Английский
Процитировано
18Energy Reports, Год журнала: 2024, Номер 11, С. 2633 - 2655
Опубликована: Фев. 20, 2024
The cost of green hydrogen production is very dependent on the price electricity. A control system that can schedule based forecast wind speed and electricity should therefore be advantageous for large-scale wind-hydrogen systems. This work presents a novel price-based integrated in techno-economic analysis from offshore wind. polynomial regression model predicts power input was developed tested with real-world datasets 2.3 MW floating turbine. combined mathematical PEM electrolyzer used to simulate production. decide when produce it sell grid. systems require only speed, selling as inputs. 11 test scenarios 10 years data are proposed evaluate effect has levelized (LCOH). Both current future (2050) costs technologies used, results show lowered LCOH all by 10–46%. lowest achieved technology 6.04 $/kg H2. Using most optimistic forecasts improvements reductions 2050, estimated 0.96 H2 grid-connected farm onshore production, 0.82 using grid (onshore) 4.96 an off-grid system. When period 2013–2022 2050 scenarios, resulting approximately twice high.
Язык: Английский
Процитировано
8Energy Conversion and Management, Год журнала: 2024, Номер 314, С. 118659 - 118659
Опубликована: Июнь 15, 2024
Язык: Английский
Процитировано
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