Characterisation of synergies in subsurface energy storage technologies to support energy systems decarbonisation

支持能源系统脱碳的地下储能技术协同效应特征

• 批准号: EP/X028402/1
• 负责人: Gioia Falcone
• 金额: $ 31.45万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Fellowship
• 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=EP%2FX028402%2F1
• 关键词: Characterisation; synergies; subsurface; energy; storage

This project will investigate synergies between subsurface energy storage technologies (SST). These technologies have the potential to support the uptake of renewables whilst preserving the energy system's security and reliability. Individually these technologies have to contend with high capital cost and uncertain investment risk profiles. The simple yet cutting-edge idea is to determine how combining these technologies over the operational lifetime of a geological store can lead to net benefits in the form of increased efficiency, reduced costs, and minimised risks. This work will provide evidence-based information on these synergies, when they arise, and how to exploit them. The highly interdisciplinary work is divided into 4 strongly interconnected work packages, which cover the whole span of technology assessment, from technical viability, to economic analysis. Most of the work will be conducted at the Lawrence Berkeley National Laboratory (LBNL) in the USA during the outgoing phase. The return phase will be completed at the University of Edinburgh (UoE) where the benefits of synergies will be integrated into energy network models, and significant industry and public engagement will be undertaken to ensure knowledge transfer. Presenting this novel work to the scientific community (i.e. energy systems, geoenergy) is expected to have a huge impact. The Experienced Researcher (ER), is expected to carry out excellent research and also profit from the state-of-the-art physical and economic modelling experience in SSTs at LBNL, supporting his career goal of an academic career as a University professor. LBNL benefits from the ER's expertise in hydrogen storage and gas network conversion. The UoE will benefit from a novel assessment workflow applicable to its proven expertise in SSTs assessment in the North Sea region of Europe. Naturally, the ER, LBNL and the UoE are strongly committed to the project and delivering a successful outcome.

该项目将研究地下储能技术（SST）之间的协同作用。这些技术有潜力支持可再生能源的利用，同时保持能源系统的安全性和可靠性。单独来看，这些技术必须应对高资本成本和不确定的投资风险。简单而前沿的想法是确定如何在地质储层的使用寿命内结合这些技术，从而以提高效率、降低成本和最小化风险的形式产生净效益。这项工作将提供关于这些协同作用何时出现以及如何利用它们的循证信息。高度跨学科的工作被分为4个紧密相连的工作包，涵盖了从技术可行性到经济分析的整个技术评估范围。在输出阶段，大部分工作将在美国劳伦斯伯克利国家实验室（LBNL）进行。返回阶段将在爱丁堡大学（UoE）完成，协同效应的好处将被整合到能源网络模型中，并将进行重要的行业和公众参与，以确保知识转移。向科学界（即能源系统、地球能源）展示这项新工作预计将产生巨大影响。经验丰富的研究员（ER）将在LBNL进行出色的研究，并从最先进的物理和经济建模经验中获益，以支持他作为大学教授的学术生涯目标。LBNL受益于ER在储氢和天然气网络转换方面的专业知识。UoE将受益于一种新的评估工作流程，该工作流程适用于其在欧洲北海地区SSTs评估方面的成熟专业知识。当然，ER、LBNL和UoE都坚定地致力于这个项目，并取得了成功的成果。