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Smart ResSim Technology - Reducing Uncertainties for Advanced CO2 and H2 Storage Processes

Smart ResSim Technology - Reducing Uncertainties for Advanced CO2 and H2 Storage Processes
Smart ResSim 技术 - 减少先进 CO2 和 H2 存储过程的不确定性
批准号:
10090798
负责人:
金额:
$3.38万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

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中文摘要
翻译
现在人们普遍认为,有效缓解气候变化的影响需要采取多方面的方法,纳入几个大规模的解决方案,包括创新的低碳能源生产和储存方法。氢是一种很有前景的低碳能源载体,具有广泛的应用前景,如建筑清洁供暖、发电和交通脱碳。氢气的生产主要通过两个过程实现:使用可再生能源的水电解或碳氢化合物重整结合碳捕获和储存(CCS)。这些方法确保了氢气的产生,同时显著减少了碳排放,使其成为一种对环境负责的替代能源。此外,氢气的潜力扩展到了能源储存解决方案。通过将氢储存在地质构造中,它成为平衡能源供需、培养可持续能源储存能力的宝贵手段。这方面进一步加强了其在支持更绿色和更可持续的能源环境方面的作用。这一为期三个月的项目的主要目标包括两个关键目标:1.获得英国首个关于储存条件下二氧化碳和富氢气流的热物理性质的HPHT实验数据集。为了进一步评估和优化我们的开创性技术--Smart ResSim--以克服地质地层中二氧化碳和氢气存储的重大技术和现场规模障碍。这个多学科的创新项目将专注于增强我们的开创性技术,无缝集成和重复使用英国大陆架(UKCS)的现有基础设施,用于CCS和氢气应用。我们将开发首个此类机器学习技术,以优化地下储集层中的二氧化碳和氢气综合储存,特别是在海底环境中,为现场规模的含二氧化碳和含氢气系统建立独特和创新的智能反应流体传输模型。通过实现这些目标,该项目将对英国的净零目标做出重大贡献,促进到2050年实现更绿色、更可持续的未来。
英文摘要
It is now widely acknowledged that effectively mitigating the impacts of climate change requires a multi-faceted approach, incorporating several large-scale solutions, including innovative low-carbon energy production and storage methods. One promising low-carbon energy vector is hydrogen, offering versatile applications such as clean heating for buildings, electricity generation, and transport decarbonisation.The production of hydrogen can be achieved through two main processes: water electrolysis using renewable energy or hydrocarbon reformation coupled with carbon capture and storage (CCS). These methods ensure the generation of hydrogen with significantly reduced carbon emissions, making it an environmentally responsible alternative.Moreover, hydrogen's potential extends to energy storage solutions. By storing hydrogen in geological formations, it becomes a valuable means to balance energy supply and demand, fostering sustainable energy storage capabilities. This aspect further enhances its role in supporting a greener and more sustainable energy landscape.The primary goals of this three-month project encompass two key objectives:1. To gain UK's first HPHT experimental datasets on thermophysical properties of CO2 and Hydrogen rich streams at the storage conditions.2. To do further assessment and optimisation of our groundbreaking technology -- Smart ResSim -- to overcome significant technical and field scale barriers of CO2 and hydrogen storage in geological formations.This multidisciplinary innovative project will focus on enhancing our pioneering technology to seamlessly integrate and reuse existing infrastructure in the UK continental shelf (UKCS) for CCS and hydrogen applications. We will develop first of its kind machine learned technology for optimisation of integrated CO2 and H2 storage in subsurface reservoirs particularly in subsea environments with unique and innovative smart reactive fluid transport models for both CO2- and H2- containing systems at field scale. By achieving these objectives, the project will contribute significantly to the UK's net zero targets, facilitating the delivery of a greener and more sustainable future by 2050\.
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