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首页> 外文会议>International Conference on Greenhouse Gas Control Technologies >PREDICTION OF PHYSICAL PROPERTIES OF TRANS-CRITICAL CO_2 MIXTURES
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PREDICTION OF PHYSICAL PROPERTIES OF TRANS-CRITICAL CO_2 MIXTURES

机译：跨关键CO_2混合物的物理性质预测

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Efforts to mitigate greenhouse gas emissions show that the CO_2 must be captured, compressed, transported, and injected into a suitable reservoir, such as depleted oil-bearing strata. We explore the complex behavior of CO_2 and its mixtures during transport and at the severe conditions that exist when crossing the critical fluid transition during injection. We document the selection of equation sets for the prediction of the physical properties of acid gas CO_2 and its mixtures (SO_2, H_2S, H_2O, CH_4, and N_2) in pipelines by comparing simulated properties with published data for the supercritical fluid transition at pressures up to 30 MPa. Nearly a dozen physical property equation sets were tested for accuracy using AspenPlus 11.1 (AspenTech, Cambridge, Mass.). The multi-parameter equation of state (EOS) sets that proved most accurate were the Peng-Robinson with Boston-Mathias upgrade (PRBM) and the Swartzentrube-Renon Polar (SR Polar) EOS. The SR Polar EOS, though it predicted fluid density accurately (with less than 2% average error), did not show the supercritical transition as pipeline gas temperature rose above 65°C. Regarding the data relevant to Oxy-Fuel compositions, the PRBM predictions for CO_2 with 3,000 ppm SO_2 showed that the most significant impact on pipeline performance was not from the SO_2, but rather from the presence of diluents. Here, diluents derate the pipeline by nearly 14% if the default interaction parameters without "volume shifting" corrections are adopted. Hence, there may be an economic incentive to strip out diluents.
机译：减轻温室气体排放的努力表明，必须捕获，压缩，运输和注射到合适的储层中，如耗尽的储油层。我们在运输过程中探索CO_2及其混合物的复杂行为，并在注射过程中穿过临界流体过渡时存在的严重条件。通过将模拟性质与用于超临界流体过渡的公开数据进行比较，将酸性气体CO_2及其混合物（SO_2，H_2S，H_2O，CH_2O，CH_2，CH_2，CH_2，CH_4和N_2）的物理性质进行记录的等式集合。到30 MPa。使用AspenPlus 11.1（Aspentech，Cambridge，Mass）测试近十几种物理性能方程式。州（EOS）的多参数方程套装被证明最准确的是波士顿 - Mathias升级（PRBM）和SwartzentRube-renon极性（SR极性）EOS的彭罗宾逊。 SR极性EOS，但它预测流体密度精确（具有小于2％的平均误差），没有显示超临界转换，因为管道气体温度高于65°C。关于与氧燃料组合物相关的数据，具有3,000ppm SO_2的CO_2的PRBM预测表明，对管道性能的最显着影响不是来自SO_2，而不是来自稀释剂的存在。在这里，如果采用默认交互参数，稀释剂将通过默认的交互参数采用默认的相互作用参数缩小校正。因此，剥离稀释剂可能存在经济动力。

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