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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
现在人们普遍认识到,有效减轻气候变化的影响需要多方面的方法,包括几种大规模的解决方案,包括创新的低碳能源生产和储存方法。氢是一种很有前途的低碳能源载体,它提供了多种应用,如建筑清洁供暖、发电和运输脱碳。氢气的生产可以通过两个主要过程来实现:使用可再生能源的水电解或碳氢化合物重整加上碳捕获和储存(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方案。此外,氢的潜力延伸到能源存储解决方案。通过在地质构造中储存氢气,它成为平衡能源供需的宝贵手段,促进可持续的能源储存能力。这方面进一步加强了其在支持更环保和更可持续的能源景观方面的作用。这个为期三个月的项目的主要目标包括两个关键目标:获得英国首个关于存储条件下CO2和富氢流热物理特性的HPHT实验数据集。为了进一步评估和优化我们的突破性技术——Smart ResSim,以克服地质地层中二氧化碳和氢气储存的重大技术和现场规模障碍。这个多学科创新项目将专注于加强我们的开创性技术,以无缝集成和再利用英国大陆架(UKCS)的现有基础设施,用于CCS和氢应用。我们将开发同类机器学习技术,用于优化地下储层(特别是海底环境)的综合CO2和H2存储,并为油田规模的含CO2和含H2系统提供独特和创新的智能反应性流体输送模型。通过实现这些目标,该项目将为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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