Enabling the circular economy of sustainable metals production at scale through AI-powered systems to support a net-zero future.

通过人工智能驱动的系统实现大规模可持续金属生产的循环经济,以支持净零未来。

基本信息

  • 批准号:
    83002099
  • 负责人:
  • 金额:
    $ 127.41万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Innovation Loans
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

**Industry Challenge**The Clean Energy Transition is creating demand for metals that cannot be fulfilled; current production for graphite, cobalt, vanadium, nickel are inadequate, with more than 66% gap v/s demand \[IMF,2021\]. With exponential increase in demand for metals 'critical' to a Net Zero Future (e.g. demand for lithium and cobalt are expected to rise 540% and 292% respectively by 2030 \[IEA,2020\]), demand is now being turbocharged by energy-security concerns (increased by the Russian invasion of Ukraine) \[McKinsey,2022\].However, developing mines is a lengthy process---taking a decade or more---presenting challenges, at company and country level. Mining operational realities are:* Accessible sources are exhausted.* Declining grades at operating sites threaten mine-site viability.Lack of short-term supply can be solved by increasing throughput at existing mining/refining sites whilst enabling metal recycling at scale. Currently the UK loses £13.63m/year from waste electricals/batteries due to lack of advanced recovery technologies \[MaterialFocus,2021\], threatening 114k direct automotive jobs linked to gigafactory potential by 2040 \[T&E,2021\].**Intellisense.io**IntelliSense.io is an Industrial Artificial Intelligent (AI) SME, focusing on the Base Metals Industry, headquartered in Cambridge, UK. IntelliSense.io is recognised as a leader in the Industry for the Internet-of-Things and Machine-Learning applications (UK National Technology Award: "Artificial Intelligence Solution of 2022''). IntelliSense.io has developed and commercialised 'brains.app', a real-time decision-making platform for the mining and refining industries, containing 6 process-specific mining optimisation applications, significantly increasing yields in comminution and beneficiation processes. brains.app is installed at some of the largest mine-sites in the world.**IUK Loan Requirement**Building industrial AI solutions is lengthy, complex and expensive. This combined with long sales cycles, means IntelliSense.io cannot fund the R&D it needs to do now from revenues alone. The IUK Loan will expedite R&D, enabling IntelliSense.io to build:* Discrete software to further increase throughputs in 2 commercialised applications, by optimising Solvent-Extraction processes and Grinding Circuits. Once complete, sales will be achieved by 'expanding' existing customer accounts to repay the loan.* A platform solution for the Circular Economy, supporting recyclers to extract high-purity metal concentrates from waste batteries economically (bringing parallel problem solving from mining & minerals processing sectors). This platform will bring together IntelliSense.io's relevant mining & minerals processing platform & applications and adapt them to the similar processes used by recyclers, enabling plant operators to optimise process operations and reducing costs per tonne of battery recycling. IntelliSense.io partners with companies in this space to accelerate route-to-market.
**行业挑战**清洁能源转型正在创造无法满足的金属需求;目前石墨、钴、钒、镍的产量不足,与需求相比缺口超过 66% \[国际货币基金组织,2021 年]随着对净零未来“至关重要”的金属需求呈指数增长(例如,锂和钴的需求预计将分别增长 540% 和 292%)。 2030 年\[IEA,2020\]),由于能源安全担忧(俄罗斯入侵乌克兰而加剧),需求正在急剧增加\[麦肯锡,2022\]。然而,开发矿山是一个漫长的过程——需要一个漫长的过程十年或更长时间——在公司和国家层面面临的挑战是:* 可利用的资源已耗尽。* 作业现场的品位下降威胁着矿场的生存能力。短期供应不足可能会导致。通过增加现有采矿/精炼场的吞吐量,同时实现大规模金属回收来解决这一问题。目前,由于缺乏先进的回收技术,英国每年因废弃电气/电池而损失 1,363 万英镑\[MaterialFocus,2021\],威胁着 11.4 万辆直接汽车。到 2040 年,就业机会与超级工厂潜力相关\[T&E,2021\]。**Intellisense.io**IntelliSense.io 是一个工业人工智能(AI)中小企业,专注于贱金属行业,总部位于英国剑桥,被公认为物联网和机器学习应用行业的领导者(英国国家技术奖:“ 2022 年人工智能解决方案”)IntelliSense.io 开发并商业化了“brains.app”,这是一个用于采矿和炼油行业的实时决策平台,包含 6 个功能。特定于流程的采矿优化应用程序,显着提高了通信和选矿流程的产量 Brains.app 安装在世界上一些最大的矿场。**IUK 贷款要求**构建工业人工智能解决方案是漫长、复杂且昂贵的。这与较长的销售周期相结合,意味着 IntelliSense.io 无法仅通过收入来资助其现在需要进行的研发,IUK 贷款将加快研发速度,从而使 IntelliSense.io 能够构建:*。通过优化溶剂萃取工艺和研磨回路,进一步提高 2 个商业应用的吞吐量的离散软件一旦完成,将通过“扩大”现有客户账户来偿还贷款来实现销售。* 循环经济的平台解决方案,支持。回收商从废电池中经济地提取高纯度金属精矿(带来采矿和矿物加工领域的并行问题解决)。该平台将汇集 IntelliSense.io 的相关采矿和矿物加工平台。 IntelliSense.io 与该领域的公司合作,加快产品上市速度。

项目成果

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其他文献

Acute sleep deprivation increases inflammation and aggravates heart failure after myocardial infarction.
Ionic Liquids-Polymer of Intrinsic Microporosity (PIMs) Blend Membranes for CO(2) Separation.
  • DOI:
    10.3390/membranes12121262
  • 发表时间:
    2022-12-13
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
  • 通讯作者:

的其他文献

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{{ truncateString('', 18)}}的其他基金

An implantable biosensor microsystem for real-time measurement of circulating biomarkers
用于实时测量循环生物标志物的植入式生物传感器微系统
  • 批准号:
    2901954
  • 财政年份:
    2028
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
Exploiting the polysaccharide breakdown capacity of the human gut microbiome to develop environmentally sustainable dishwashing solutions
利用人类肠道微生物群的多糖分解能力来开发环境可持续的洗碗解决方案
  • 批准号:
    2896097
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
A Robot that Swims Through Granular Materials
可以在颗粒材料中游动的机器人
  • 批准号:
    2780268
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
严重空间天气事件对核电和保障监督的恢复力的可能性和影响。
  • 批准号:
    2908918
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
Proton, alpha and gamma irradiation assisted stress corrosion cracking: understanding the fuel-stainless steel interface
质子、α 和 γ 辐照辅助应力腐蚀开裂:了解燃料-不锈钢界面
  • 批准号:
    2908693
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
Field Assisted Sintering of Nuclear Fuel Simulants
核燃料模拟物的现场辅助烧结
  • 批准号:
    2908917
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
Assessment of new fatigue capable titanium alloys for aerospace applications
评估用于航空航天应用的新型抗疲劳钛合金
  • 批准号:
    2879438
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
  • 批准号:
    2890513
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
CDT year 1 so TBC in Oct 2024
CDT 第 1 年,预计 2024 年 10 月
  • 批准号:
    2879865
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship
Understanding the interplay between the gut microbiome, behavior and urbanisation in wild birds
了解野生鸟类肠道微生物组、行为和城市化之间的相互作用
  • 批准号:
    2876993
  • 财政年份:
    2027
  • 资助金额:
    $ 127.41万
  • 项目类别:
    Studentship

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