EALIR - Development of new, highly-efficient techniques to increase the recovery of critical materials in lithium-ion battery recycling
EALIR - Development of new, highly-efficient techniques to increase the recovery of critical materials in lithium-ion battery recycling
批准号:
10034857
负责人:
金额:
$32.26万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
**EALIR -开发新的高效技术,以提高锂离子电池回收中关键材料的回收率 ** 电动汽车电池供应链的安全性已成为全球政府的优先事项。2022年1月,英国BEIS成立了关键矿物专家委员会,以支持英国在这一领域的工作,认识到建立英国供应链“至关重要”。为应对这一能源安全挑战,Altilium Metals Ltd发明了一种新颖、高效的湿法冶金工艺,并经普利茅斯大学独立验证,与提取原始原材料相比,成本节约35%,排放量减少38%。该技术提供了最高水平的材料回收,回收95%的关键金属,然后将其加工成高质量的正极材料(LiNi 1/3 Mn 1/3Co 1/3 O2),可直接出售给电池制造商。这个为期18个月的项目专注于显著推动我们的工艺和整个行业的效率、气候友好性和商业价值。
英文摘要
**EALIR - Development of new, highly-efficient techniques to increase the recovery of critical materials in lithium-ion battery recycling**The security of an EV battery supply-chain has become a priority for Governments globally. In January 2022, UK BEIS established the Critical Minerals Expert Committee to support the UK in this area, recognising that establishing a UK supply-chain is "critically important".To address this energy security challenge, Altilium Metals Ltd has invented a novel, highly-efficient hydrometallurgical process, independently validated by the University of Plymouth, resulting in cost savings of 35% and a reduction of 38% in emissions compared to the extraction of virgin raw material. This technology offers the highest level of material recovery, recovering 95% of critical metals, which are then processed into high-quality cathode materials (LiNi1/3Mn1/3Co1/3O2) that can be sold directly to battery manufacturers.This 18-month project is focussed on significantly driving forward the efficiency, climate-friendliness, and commercial value of our process and the industry as a whole.
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国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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批准号:32070202
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项目类别:面上项目
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资助金额:58.0万元
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批准年份:2020
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负责人:汪泉
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依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: