Value chain optimization for the industrial deployment of novel photochemical synthetic pathways

新型光化学合成途径产业部署的价值链优化

• 批准号: 2896293
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 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
• 来源: https://gtr.ukri.org/projects?ref=studentship-2896293
• 关键词: Value; chain; optimization; industrial; deployment; Value; chain; optimization; industrial; deployment

Photochemistry is capable of disruptively changing value and supply chains by considering alternative, preferentially renewable and green feedstock. Taking these feedstocks rather than oil and natural gas will change the chemical industry as we know it and as it has developed since the onset of industrialization: Commodity chemicals are produced on large scale in multiple steps often starting from steam cracking. In many cases supply chains are integrated on a single site ("Verbund"-site) for improved heat integration logistics, and safety in pipes. Therefore, changing the initial feedstock from natural gas to bio-based methanol for example will have major implications on the supply and value chains. While this change is widely accepted on our way to carbon neutrality, the technical and economical impact on the chemical industry needs to be considered to maintain commercial viability and competitiveness. Photochemistry is a prime example of technology that has the potential to utilize biogenic feedstock for chemical conversions. In this project we plan to pave the way toward implementing photochemistry in the large scale chemical industry by investigating the technoeconomical aspects and the changes of value and supply chains. We will consider changing boundary conditions, including the shift to renewable feedstock and CO2-taxation. We will pick up examples investigated within BASF's photochemistry cluster at Imperial, including the fabrication of di-acids with CO2 as a reagent to be used in the polyester and polyamide fabrication and the conversion of methanol to mono-ethyleneglycol (MEG). The project will be holistic along the R&D workflow and along the value and supply chains and aim at benchmarking and optimizing future processing options. This project will require an interest in holistic challenges of chemical engineering. It will consider machine learning algorithms and theoretical assessments rather than experimental work.

光化学能够通过考虑替代性，可再生和绿色原料来破坏价值和供应链。采用这些原料，而不是石油和天然气将改变化学工业，这是我们所知道的，并且自工业化开始以来，它已经开发出来：商品化学品是通过蒸汽破裂开始的多个步骤大规模生产的。在许多情况下，供应链集成在单个站点（“ verbund” - 站点）上，以改善热量物流和管道安全性。因此，例如，将初始原料从天然气更改为基于生物的甲醇将对供应和价值链有重大影响。尽管这种变化在碳中立性的途中被广泛接受，但需要考虑对化学工业的技术和经济影响来维持商业的生存能力和竞争力。光化学是技术的一个主要例子，它有可能利用生物原料进行化学转化。在这个项目中，我们计划通过研究技术经济方面以及价值和供应链的变化来铺平在大规模化学工业中实施光化学的道路。我们将考虑更改边界条件，包括转移到可再生原料和CO2征用。我们将在BASF在帝国的光化学集群中进行调查，包括用CO2的Di-Acid作为一种试剂，用于聚酯和聚酰胺制造，以及将甲醇转化为单乙二醇（MEG）。该项目将是R＆D工作流程以及价值和供应链的整体性，并旨在基准和优化未来的处理选项。该项目将需要对化学工程的整体挑战产生兴趣。它将考虑机器学习算法和理论评估，而不是实验性工作。