Corrosion Prediction in Residual CO2 Streams: Shifting the Paradigm

残余二氧化碳流中的腐蚀预测：转变范式

• 批准号: 132712
• 金额: $ 9.27万
• 依托单位: WOODVIEW TECHNOLOGY LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=132712
• 关键词: Corrosion; Prediction; Residual; CO2; Streams

Cost-effective Carbon Capture and Storage (CCS) offers one option for meeting the goals of the ParisAgreement, reached at COP 21 in December 2015. Whilst there have been major efforts to developtechnologies for capture and storage, transportation between the two points has received less attention todate. The behaviour of dense phase and supercritical CO2 mixtures containing a large amount of possibleimpurities is not well understood. Accurate predictions of the physical properties and corrosion potential ofthese mixtures will be needed for the cost-effective design and operation of both capture and disposal systems.The overall goal of this project is to improve the predictive tools for both physical properties and corrosionrates and to demonstrate their accuracy against laboratory and field data in order to increase the confidenceand gain industry acceptance of the predictions being made. An experimental framework will provide thenecessary inputs for the corrosion-related aspects of the model, whilst the phase equilibria model will enableexact conditions to be described.

具有成本效益的碳捕获和封存 (CCS) 为实现 2015 年 12 月第 21 届缔约方会议达成的《巴黎协定》的目标提供了一种选择。尽管人们在开发捕获和封存技术方面做出了巨大努力，但迄今为止，两点之间的运输受到的关注较少。含有大量可能杂质的密相和超临界二氧化碳混合物的行为尚不清楚。为了实现捕集和处置系统的经济高效设计和运行，需要对这些混合物的物理性质和腐蚀潜力进行准确预测。该项目的总体目标是改进物理性质和腐蚀速率的预测工具，并根据实验室和现场数据证明其准确性，以增加预测的信心并获得行业接受。实验框架将为模型的腐蚀相关方面提供必要的输入，而相平衡模型将能够描述精确的条件。