Development of Understanding and Preparation for Machine learning for Accelerated Carbonation Technology Pelletisation Process - Carbon8

加速碳酸化技术造粒过程的机器学习的理解和准备的发展 - Carbon8

基本信息

批准号：
10091589
负责人：
金额：
$ 3.02万
依托单位：
CARBON8 SYSTEMS LIMITED
依托单位国家：
英国
项目类别：
Collaborative R&D
财政年份：
2024
资助国家：
英国
起止时间：
2024 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=10091589
关键词：
Development Understanding Preparation Machine learning

Development Understanding Preparation Machine learning

项目摘要

Carbon8 is a research based start-up that is already a global leader in carbon capture, utilisation and storage (CCUS). Through our Accelerated Carbonation Technology (ACT), we help industry decarbonise while transitioning to a more circular operation. We capture CO2 directly from the source to treat industrial residues and manufacture new materials. The captured carbon is locked into innovative, low-carbon products like lightweight aggregates.The deployment of our product, the CO2ntainer is the realisation of our technology as a compact, mobile CCUS solution. It allows for easy implementation, avoiding disruptions in production and is a solution that can help hard-to-abate sectors today. This project focuses on the variation in the output, using modelling, statistical analysis leading towards machine learning to optimise the output.Our process is both innovative and complex and over the course of operations a significant amount of laboratory and process data has been captured. The intent of this project is to partner with Advanced Sustainable Manufacturing Technologies (ASTUTE). This will bring their skills in advanced statistical analysis and preparation for machine learning to the challenge. The output will be an innovative step forward in the efficiency of the process which can be programmed into the control system of the product.

Carbon8是一家基于研究的初创企业，已经是碳捕获，利用和存储（CCUS）的全球领导者。通过加速碳酸技术（ACT），我们在过渡到更循环的操作的同时帮助行业脱碳。我们直接从源头捕获二氧化碳来处理工业残留物并制造新材料。被捕获的碳被锁定成创新的低碳产品，例如轻质骨料。我们的产品部署二氧化碳是我们技术的实现，是一种紧凑的移动CCUS解决方案。它允许轻松实施，避免生产中断，并且是一种可以帮助当今难以浸泡的部门的解决方案。该项目的重点是输出的变化，使用建模，统计分析，导致机器学习以优化输出。我们的过程既是创新又复杂的，并且在操作过程中，已经捕获了大量的实验室和过程数据。该项目的目的是与先进的可持续制造技术合作（Astute）。这将使他们的技能在高级统计分析和为机器学习准备方面的准备工作中挑战。输出将是过程效率的创新一步，可以将其编程到产品的控制系统中。