Assessing performances of Equations of State for CO2 mixtures to reduce the uncertainties in the CCS measurement chain

评估二氧化碳混合物状态方程的性能，以减少 CCS 测量链中的不确定性

• 批准号: 10074889
• 金额: $ 4.95万
• 依托单位: KELTON ENGINEERING LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10074889
• 关键词: Assessing; performances; Equations; State; CO2

To continue to support worldwide companies in achieving high accuracy measurements for fiscal applications but also to achieve the net zero target by 2050, we need to improve the accuracy of the CO2 measurement across the CCS (Carbon Capture and Storage) value chain. To reduce the uncertainties in the CO2 measurement, and achieve fiscal standards, we need to overcome the challenges related to Equations of State (EoSs).Determining and using the correct EoSs adapted for CO2 mixtures will help to- determine pressure and temperature phase envelopes/boundaries with high accuracy,- select the most suitable technologies,- anticipate two phase fluid flow issues.Evaluating the performances of EoSs will also help to calculate accurate density from composition and convert volumetric flowrate to a mass flowrate with high accuracy to achieve fiscal measurement. Improving the EoS used for CO2 will help in reducing the uncertainties in the CCS measurement chain and to achieve fiscal levels of uncertainties which is important for the CCS economy and for the management of the emissions. For example: if we consider a CCS transportation facility of 6 million tons per year, let's assume a 5% uncertainty on the CO2 mass flowrate, 5% of these 6 million tons per year is leading to 300,000tons, if we assume a price of $85 per ton of CO2 this is leading to $25,500,000 per year, which means that there is around $70,000 of unaccounted measurement per day. This is highlighting that an uncertainty of 5% instead of 2.5% would lead to an over estimation or underestimation of the amount of CO2 captured, thus misrepresenting the quantity of CO2 that is captured and not emitted. Such an uncertainty is not acceptable as we need to have an accurate monitoring of the emissions to ensure that we reach the net zero by 2050\. This uncertainty has to be improved thanks to the use of correct Equation of States and this is the purpose of the project.

为了继续支持全球公司实现高精度的财务应用测量，同时也为了在2050年前实现净零目标，我们需要提高整个CCS（碳捕获和封存）价值链中二氧化碳测量的准确性。为了降低CO2测量中的不确定性，并达到财政标准，我们需要克服与状态方程（EoSs）相关的挑战。确定和使用适用于CO2混合物的正确EoSs将有助于-以高精度确定压力和温度相包络/边界，-选择最合适的技术，- 预测两相流体流动问题。评估EOS的性能还将有助于根据成分计算准确的密度，并将体积流量转换为高精度的质量流量，以实现财务测量。改进用于CO2的EoS将有助于减少CCS测量链中的不确定性，并达到对CCS经济和排放管理都很重要的不确定性的财政水平。举例来说：如果我们考虑每年600万吨的CCS运输设施，让我们假设二氧化碳质量流量的5%不确定性，这600万吨每年的5%导致30万吨，如果我们假设每吨二氧化碳的价格为85美元，这导致每年25，500，000美元，这意味着大约有70美元，每天有1000个未计算的测量值。这突出表明，5%而不是2.5%的不确定性将导致对捕获的CO2数量的高估或低估，从而歪曲捕获而非排放的CO2数量。这种不确定性是不可接受的，因为我们需要对排放进行准确的监测，以确保我们在2050年之前达到净零排放。由于使用正确的状态方程，这种不确定性必须得到改善，这就是该项目的目的。