Journal of Membrane Science, Год журнала: 2024, Номер unknown, С. 123558 - 123558
Опубликована: Ноя. 1, 2024
Язык: Английский
Journal of Membrane Science, Год журнала: 2024, Номер unknown, С. 123558 - 123558
Опубликована: Ноя. 1, 2024
Язык: Английский
Desalination, Год журнала: 2024, Номер 577, С. 117406 - 117406
Опубликована: Фев. 2, 2024
Conventional lithium production through solar evaporation is considered a time-consuming procedure, taking substantial 12 to 18 months with significant environmental impacts such as aquifer depletion and damaging the basin's complex hydrological system. Direct Lithium Extraction (DLE) has emerged promising alternative for extraction from brines, offering reduced impact. Although adsorption-type DLE aluminium-based adsorbents sole commercial technology of DLE, debate persists concerning its Technology Readiness Level (TRL), which challenges prevailing notion that undeniably reaches TRL 9. Within this narrative, we propose adsorption capable attaining highest potential in recovery brines when three critical conditions are met: presence certain level salinity, minimum content brine, heat source up brine. In account, an attempt been made elucidate role these criteria during DLE.
Язык: Английский
Процитировано
30Chemical Engineering Journal, Год журнала: 2024, Номер 498, С. 155349 - 155349
Опубликована: Авг. 30, 2024
Energy storage plays a crucial role in the modern energy landscape, with its applications spanning from renewable integration to electrification of transportation and microgrids. Lithium is key component lithium-ion batteries at core technologies. Increasing demand for lithium has challenged supply chains required rethinking how we source it. This comprehensive review presents critical holistic assessment opportunities challenges sourcing diverse feedstocks, such as seawater, geothermal, produced water (oilfield), salt lake brines. We assess various extraction technologies (precipitation, extraction, electrochemical techniques, membrane processes) considering these three feedstocks. A quantitative comparative analysis conducted across all technologies, factors cost, commercial maturity, operation duration, other relevant parameters determine most promising each feedstock while identifying remaining research technological gaps. Our reveals that Direct Extraction (DLE) characterized by higher selectivity lower environmental impact, demonstrate significant promise enhancing yields geothermal In contrast, processes are identified more suited seawater brines, offering cost-effective scalability despite fouling. Ultimately, efficient illustrated harvesting unconventional resource. The shows adsorption chemical precipitation recovery lake, oilfield brine.
Язык: Английский
Процитировано
20Desalination, Год журнала: 2025, Номер unknown, С. 118524 - 118524
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
3Separation and Purification Technology, Год журнала: 2025, Номер unknown, С. 132021 - 132021
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
3Desalination, Год журнала: 2024, Номер 583, С. 117659 - 117659
Опубликована: Апрель 26, 2024
Язык: Английский
Процитировано
16Chemical Engineering Journal, Год журнала: 2024, Номер 496, С. 154122 - 154122
Опубликована: Июль 20, 2024
Язык: Английский
Процитировано
13Desalination, Год журнала: 2024, Номер unknown, С. 118148 - 118148
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
11Processes, Год журнала: 2024, Номер 12(10), С. 2203 - 2203
Опубликована: Окт. 10, 2024
The integration of lithium into technological applications has profoundly influenced human development, particularly in energy storage systems like lithium-ion batteries. With global demand for surging alongside advancements, the sustainable extraction and recovery this critical material have become increasingly vital. This paper explores lithium’s role, its chemical properties, environmental economic considerations associated with recovery. We examine various methods, including conventional techniques such as hydrometallurgy, pyrometallurgy, direct physical recycling, well emerging technologies mechanochemistry, ion pumping, bioleaching while emphasizing need practices to address challenges. review also discusses challenges future directions Advances technology streamlined processes spurred development innovative techniques. concludes an emphasis on further research essential deepen our understanding their strengths limitations, explore new strategies meet growing indispensable resource.
Язык: Английский
Процитировано
11Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144795 - 144795
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2Mathematics, Год журнала: 2025, Номер 13(6), С. 961 - 961
Опубликована: Март 14, 2025
Complex dynamics and nonlinear systems play a critical role in industrial processes, where complex interactions, high uncertainty, external disturbances can significantly impact efficiency, stability, safety. In sectors such as mining, manufacturing, energy networks, even small perturbations lead to unexpected system behaviors, operational inefficiencies, or cascading failures. Understanding controlling these is essential for developing robust, adaptive, resilient systems. This study conducts systematic literature review covering 2015–2025 Scopus Web of Science, initially retrieving 2628 (Scopus) 343 (WoS) articles. After automated filtering (Python) applying inclusion/exclusion criteria, refined dataset 2900 references was obtained, from which 89 highly relevant studies were selected. The categorized into six key areas: (i) heat transfer with magnetized fluids, (ii) control, (iii) big-data-driven optimization, (iv) transition via SOEC, (v) fault detection control valves, (vi) stochastic modeling semi-Markov switching. Findings highlight the convergence robust machine learning, IoT, Industry 4.0 methodologies tackling challenges. Cybersecurity sustainability also emerge factors models, alongside barriers limited data availability, platform heterogeneity, interoperability gaps. Future research should integrate multiscale analysis, deterministic chaos, deep learning enhance adaptability, security, efficiency operations high-complexity environments.
Язык: Английский
Процитировано
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