Journal of Water Process Engineering, Год журнала: 2024, Номер 67, С. 106271 - 106271
Опубликована: Окт. 5, 2024
Язык: Английский
Journal of Water Process Engineering, Год журнала: 2024, Номер 67, С. 106271 - 106271
Опубликована: Окт. 5, 2024
Язык: Английский
Advanced Science, Год журнала: 2024, Номер 11(28)
Опубликована: Май 2, 2024
Abstract Silver (Ag) is deemed a promising anode material for capacitive deionization (CDI) due to its high theoretical capacity and efficient selectivity Cl − . However, the strong volume change during conversion reaction significantly undermines cycling performance of Ag electrode. Additionally, achieving well‐dispersed in active matrix challenging, as electrodes prepared by conventional thermal reduction tend agglomerate. Herein, organic linker confinement strategy proposed, applying metal–organic framework (MOF) chemistry between nodes ligands construct Ag‐based MOF. The uniform dispersion at molecular level, confined matrix, efficiently enhances utilization sites, strengthens interfacial stability Ag. Consequently, Ag‐MOF CDI exhibits an excellent removal 121.52 mg g −1 20 mA 500 L NaCl solution, rate 60.54%. After 100 cycles, retention 96.93% achieved. Furthermore, capture mechanism elucidated through density functional theory (DFT) calculations, ex situ XRD, Raman XPS. This ingenious electrode design can offer valuable insights development high‐performance applications.
Язык: Английский
Процитировано
27Desalination, Год журнала: 2024, Номер 583, С. 117695 - 117695
Опубликована: Апрель 27, 2024
Язык: Английский
Процитировано
20Separation and Purification Technology, Год журнала: 2024, Номер 348, С. 127804 - 127804
Опубликована: Май 3, 2024
Язык: Английский
Процитировано
14Separation and Purification Technology, Год журнала: 2025, Номер unknown, С. 131778 - 131778
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Separation and Purification Technology, Год журнала: 2025, Номер 362, С. 131885 - 131885
Опубликована: Янв. 31, 2025
Язык: Английский
Процитировано
1Desalination, Год журнала: 2024, Номер unknown, С. 118412 - 118412
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
4Desalination, Год журнала: 2025, Номер unknown, С. 118603 - 118603
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Electrochimica Acta, Год журнала: 2025, Номер unknown, С. 146024 - 146024
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Water, Год журнала: 2025, Номер 17(8), С. 1169 - 1169
Опубликована: Апрель 14, 2025
This paper examines the application of artificial intelligence (AI) in desalination. The study explored AI techniques, including machine learning, neural networks, and genetic algorithms, to enhance system efficiency reduce energy costs. Case studies assessed impact on desalination systems, those powered by renewable sources. Key findings revealed that AI-driven systems improved water quality, reduced consumption up 50%, enabled predictive maintenance, minimizing downtime. Challenges integrating with energy-powered treatment were addressed analyzing hybrid setups combining solar, wind, battery storage reverse osmosis (RO) multi-stage flash (MSF) technologies. These demonstrated critical improvements efficiency, making more viable for arid remote areas. Fault detection algorithms maintenance emerged as pivotal applications, significantly reducing costs enhancing reliability. was concluded identifying challenges such intermittent nature complexities designing scalable systems. Future research should further refine advancing sustainable energy-efficient solutions.
Язык: Английский
Процитировано
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