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

重要的是制定一个模型框架，帮助公司选择足够的能源系统，考虑到他们随着时间的推移对能源的需求，以及他们不断变化的条件，并以最佳方式提供这种需求。企业被要求在未来10年迅速做出改变，以实现英国和全球对净零的承诺。为了实现这一目标，公司面临着巨额资本支出，这对其运营成本产生了巨大影响。这项工作将提供通过生产测试模型来指导能源系统的选择和优化以满足其要求的能力。这是能源公司面临的一项重大变化，因此公司无法做出最佳决策的可能性极高。尤其是涉及的资金成本很大，一个不优化的决策的影响很大，而且会对公司产生长期影响，所以尽快提供工具是至关重要的。该方法必须考虑到各种不同的工艺，能够重复使用和回收这些工艺中的材料，以确保满足这些净零和更低的能源要求。开展这项研究的拟议方法是使用Python、ASPEN和gPROMS进行优化和流程建模，并使用机器学习工具进一步开发建模。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GO科学顾问委员会合作，琼·卡迪纳为英国提供了弹性。

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.