Process Industries Modelling to Improve Resilience to Changes to Deliver and as a Result of the Drive to Net Zero

流程工业建模可提高交付变革的弹性以及推动净零排放的结果

• 批准号: 2735090
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2735090
• 关键词: Process; Industries; Modelling; Improve; Resilience

It is important to produce a modelling framework that can aid a company in selecting sufficient energy systems that can considering their energy demand over time, and their varying conditions, with the best way to provide this. Companies are required to make rapid changes over the next decade to meet UK and global commitments towards net zero. To achieve this, companies are facing large capital expenditures, with a huge impact on their operational costs. This work would provide the ability to guide selection of energy systems and optimisation to meet their requirements by producing tested models. This is a substantial change that energy companies face, and therefore the likelihood of companies not making optimal decisions is extremely high. Especially with the large capital cost involved, the impact of an un-optimised decision is large, and will have a long-term impact to the company, so it's critical that the tool is made available soon. The methodology must be built in a way that considers a huge variety of different processes, with the ability to re-use and recycle materials from the processes to ensure that these net-zero and lower energy requirements are met. The proposed methodology to carry out the research is optimisation and process modelling using python, aspen and gPROMS, along with machine learning tools to further develop modelling. This project would work in collaboration with several industry partners who are willing to provide data as case studies, to be used to develop the model and demonstrate the methodology.This will work in collaboration with the Government Cabinet office and Go Science advisory board work that Joan Cordiner does on resilience for the UK.

重要的是要建立一个建模框架，帮助公司选择足够的能源系统，这些系统可以考虑他们随着时间的推移的能源需求，以及他们的不同条件，以及提供这一点的最佳方式。企业必须在未来十年内迅速做出改变，以实现英国和全球对净零排放的承诺。为了实现这一目标，企业面临着巨大的资本支出，对其运营成本产生了巨大影响。这项工作将提供指导能源系统的选择和优化的能力，以满足他们的要求，通过生产测试模型。这是能源公司面临的一个重大变化，因此公司不做出最佳决策的可能性非常高。特别是涉及到大量的资本成本，未优化的决策的影响很大，并将对公司产生长期影响，因此尽快提供该工具至关重要。该方法必须以考虑各种不同工艺的方式构建，并能够重新使用和回收工艺中的材料，以确保满足这些净零和较低的能源要求。拟议的方法进行研究是优化和过程建模使用python，白杨和gPROMS，沿着机器学习工具，以进一步开发建模。该项目将与几个愿意提供数据作为案例研究的行业合作伙伴合作，用于开发模型和演示方法。这将与政府内阁办公室和Joan Cordiner为英国提供的Go Science咨询委员会工作合作。