EPSRC DTP Research Studentship: Developing a new electro-photosynthesis system for CO2 fixation

EPSRC DTP 研究奖学金：开发用于二氧化碳固定的新型电光合作用系统

• 批准号: 2886510
• 金额: --
• 依托单位: University of Oxford
• 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-2886510
• 关键词: EPSRC; DTP; Research; Studentship; Developing

In the era of global warming the pursuit of sustainable, low or zero-carbon energy solutions has emerged as a pressing imperative. Yet, the realization of a truly sustainable future hinges not only on the successful decarbonization of energy production, but also on the simultaneous reduction of atmospheric CO2 levels and provision of net-zero or net-negative chemical production. These imperatives direct us towards electrosynthesis as a transformative technology, addressing the symbiotic challenges of decarbonization of production and atmospheric carbon removal, using solely clean electrical energy and/or sunlight. Microbial Electrosynthesis is a process by which bacteria convert low energy substrates into high energy products using microbes as a catalyst (reaction centre). When used for CO2 capture these systems have key inputs of: CO2, Water, and electricity (supplied by a solar panel) with potentially limitless potential outputs. By engineering a light harnessing pathway into the bacteria, we have already shown that we can increase cell metabolism, further driving the efficiency of an artificial photosynthetic system driven by microbial electrosynthesis powered by a solar panel.This project primarily aims to answer the question of whether, "Microbial Electrochemical based Artificial Photosynthetic Systems" (MEBAPS) can be a scalable solution to the problem of Carbon capture and utilisation. We intend to do this by meeting the following key aims:1. Assess the impact of key operational factors on system performance (e.g. Flow rates, Reactor Design parameters)2. Develop a platform for rapid testing of Bio-Electrochemical Systems3. Developed detailed engineering models to predict system bottlenecks and validate models empirically.4. Use a combined experimental-modelling approach to rapidly assess solutions to system bottlenecks.5. Apply computational methods (Quantum Modelling/Metabolic Modelling/Molecular Modelling/ML) to assess methods to enhance light harnessing pathways.6. Assess the viability of light enhanced microbial electrosynthesis for large scale long duration carbon utilisation using developed models.As highlighted by the research questions this research focusses on moving MEBAPS away from the bench scale and assessing system viability. Existing research on microbial electrosynthesis and artificial photosynthesis is primarily centred around proof of concept and low-level scientific developments, typically using experimental or modelling methods. The proposed research methodology is unique in this field for three reasons:1. It Synergistically uses Modelling and experimentation for rapid development and design. 2. The light harnessing Pathway utilised is Microbial rather than physiochemical, hence the system has potentially lower costs and lower environmental impact while being self-healing and adapting.3. The technoeconomic model will be developed form the ground up, basing findings on low level device models that have been experimentally validated rather than solely using literature values.This project primarily falls within the Energy and decarbonisation theme, currently there is no significant industrial collaboration or collaboration outside of the university.

在全球变暖的时代，追求可持续、低碳或零碳能源解决方案已成为当务之急。然而，实现真正可持续的未来不仅取决于能源生产的成功脱碳，还取决于同时降低大气二氧化碳水平和实现净零或净负化学生产。这些要求引导我们将电合成作为一种变革性技术，仅使用清洁电能和/或阳光来解决生产脱碳和大气碳去除的共生挑战。微生物电合成是细菌利用微生物作为催化剂（反应中心）将低能底物转化为高能产物的过程。当用于二氧化碳捕获时，这些系统的关键输入包括：二氧化碳、水和电力（由太阳能电池板提供），并具有潜在的无限潜在输出。通过在细菌中设计光利用途径，我们已经证明可以增加细胞新陈代谢，进一步提高由太阳能电池板驱动的微生物电合成驱动的人工光合作用系统的效率。该项目主要旨在回答以下问题： ，“基于微生物电化学的人工光合系统”（MEBAPS）可以成为碳捕获和利用问题的可扩展解决方案。我们打算通过实现以下主要目标来实现这一目标：1．评估关键操作因素对系统性能的影响（例如流量、反应器设计参数）2。开发生物电化学系统快速测试平台3。开发详细的工程模型来预测系统瓶颈并根据经验验证模型。 4．使用组合实验建模方法快速评估系统瓶颈的解决方案。5．应用计算方法（量子建模/代谢建模/分子建模/机器学习）来评估增强光利用途径的方法。6。使用开发的模型评估光增强微生物电合成用于大规模长期碳利用的可行性。正如研究问题所强调的，本研究的重点是使 MEBAPS 远离实验室规模并评估系统可行性。微生物电合成和人工光合作用的现有研究主要集中在概念验证和低水平的科学发展上，通常使用实验或建模方法。所提出的研究方法在该领域是独一无二的，原因如下： 1．它协同使用建模和实验来快速开发和设计。 2.所利用的光利用途径是微生物而不是物理化学，因此该系统在自我修复和适应的同时具有潜在的更低的成本和更低的环境影响。3。技术经济模型将从头开始开发，基于经过实验验证的低水平设备模型的发现，而不是仅仅使用文献值。该项目主要属于能源和脱碳主题，目前没有重大的工业合作或协作大学之外。