The Foundation Platform: Feasibility Study of an AI Platform to Improve Energy Efficiency of Steel and Glass Manufacture

基础平台：提高钢铁和玻璃制造能源效率的人工智能平台的可行性研究

• 批准号: 10015490
• 金额: $ 25.74万
• 依托单位: CARBON RE LTD
• 依托单位国家: 英国
• 项目类别: Investment Accelerator
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10015490
• 关键词: Foundation; Platform; Feasibility; Study; AI

Foundation Industries are low margin energy intensive industries which face significant challenges from net zero targets and sustainability commitments. The sector is traditionally viewed as a 'hard to abate' sector with few options available to reduce carbon emissions in the short term. Options generally put forward such as carbon capture and storage are decades away from being viable at scale and require major capital investment in new infrastructure which increases costs and damages the competitiveness of these industries. In order to address this industry need for low Capex solutions that can reduce emissions immediately Carbon Re has developed an Artificial Intelligence powered platform that makes recommendations to the plant operator as to how to increase the energy efficiency of manufacture. Research by Co-Founder Dr. Daniel Summerbell has shown that energy efficiency in cement manufacture can vary by as much as 8% between the best and average day's performance. This grant would fund feasibility studies in partnership with Steel and Glass manufacturers to evaluate the savings achievable using the platform in these other foundation industries.

基础工业是低利润的能源密集型行业，面临净零目标和可持续发展承诺的重大挑战。该行业传统上被视为“难以减少”的行业，短期内减少碳排放的选择很少。人们普遍提出的碳捕获和碳储存等备选方案距离大规模可行还有几十年的时间，需要对新的基础设施进行大量资本投资，这增加了成本，损害了这些行业的竞争力。为了满足行业对低资本支出解决方案的需求，可以立即减少排放，Carbon Re开发了一个人工智能驱动的平台，为工厂运营商提供如何提高制造能效的建议。联合创始人丹尼尔萨默贝尔博士的研究表明，水泥生产的能源效率在最佳和平均日性能之间的差异高达8%。这笔赠款将资助与钢铁和玻璃制造商合作进行的可行性研究，以评估在其他基础行业使用该平台可实现的节省。