Опубликована: Янв. 1, 2024
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Язык: Английский
Опубликована: Янв. 1, 2024
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Язык: Английский
Energy Conversion and Management, Год журнала: 2024, Номер 318, С. 118902 - 118902
Опубликована: Авг. 10, 2024
Язык: Английский
Процитировано
4AIChE Journal, Год журнала: 2024, Номер 70(11)
Опубликована: Авг. 12, 2024
Abstract This work proposed a pyrolysis chemical looping reforming‐two stage regeneration (PCLR‐TR) process with carbon‐negative syngas and biochar poly‐generation,aimed at overcoming challenges in gasification. The effectively separates reforming, circumventing slow solid–solid reactions enabling the flexible adjustment of H 2 /CO ratio. two‐stage ensures improved synchronization reaction rates across different reactors. results indicate that manipulation parameters allows for ratio (ranging from 1.02 to 3.83). introduction CO feed first reactor reduces oxygen carrier exothermic intensity second by 58%. Optimization suggest generated is compatible diverse downstream applications, exhibiting maximum negative emission 1.85 kg/kg syngas. PCLR‐TR system offers versatile environmentally friendly solution energy industries.
Язык: Английский
Процитировано
3Energy, Год журнала: 2025, Номер unknown, С. 135976 - 135976
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Energy Conversion and Management, Год журнала: 2025, Номер 332, С. 119766 - 119766
Опубликована: Апрель 7, 2025
Язык: Английский
Процитировано
0Biomass and Bioenergy, Год журнала: 2025, Номер 198, С. 107855 - 107855
Опубликована: Апрель 9, 2025
Язык: Английский
Процитировано
0Biomass Conversion and Biorefinery, Год журнала: 2025, Номер unknown
Опубликована: Апрель 23, 2025
Язык: Английский
Процитировано
0Process Safety and Environmental Protection, Год журнала: 2024, Номер 190, С. 335 - 352
Опубликована: Авг. 14, 2024
Язык: Английский
Процитировано
3Chemical Engineering Journal, Год журнала: 2024, Номер 497, С. 154437 - 154437
Опубликована: Авг. 6, 2024
Chemical reactors usually feature complex internal reacting flows, and they are equipped with process controllers to stabilise their operations, especially for highly dynamic including chemical looping combustion/conversion (CLC). However, states not well understood due the lack of reliable research tools. In this work, first time, an innovative numerical collaborative model is developed describe flow details simulate response a controller. The applied fuel reactor (FR) in CLC demonstrate its effectiveness. detailed patterns FR obtained described by three-phase CFD model, circulating rate oxygen carrier (OC) controlled optimised fuzzy logic controller (FLC). designed operate at varying control time intervals, 1 s, 2 5 study optimal frequency data sampling feedback. efficiency tested terms OC circulation, gas components general performance reactor. results show that stability effectively improved controller; among three s interval shows highest feasibility capability maintaining stable circulation CO2 yield FR. Quantitatively, compared base case without controller, range rates has been narrowed from [0.014, 0.534] [0.018, 0.385] A, [0.075, 0.342] B, [0.004, 0.530] C. Meanwhile, increased 86.93 % 87.98 88.16 but decreased 85.4 C poor controlling performance. combustion 84.20 84.87 86.22 85.88 Among all cases, B presents narrowest efficiency, indicating improving stability. deviation values decreases 0.123 0.058, increases interval. This work provides new cost-effective tool real-time simulating system clean solid wastes conversion.
Язык: Английский
Процитировано
2Energy, Год журнала: 2024, Номер unknown, С. 133199 - 133199
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
2Sustainable Energy & Fuels, Год журнала: 2024, Номер unknown
Опубликована: Дек. 17, 2024
Machine learning integrates with the chemical looping hydrogen production system to accelerate development process and reduce experimental trial-and-error costs.
Язык: Английский
Процитировано
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