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SIMULATION OF A PACKED BED EXTRACTION VESSEL FOR DESIGNING A SUPERCRITICAL FLUID EXTRACTION PLANT FOR SOLID SUBSTRATES

机译:用于设计固体基材的超临界流体萃取装置的堆积床提取容器的仿真

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Being interested in the sizing and optimization of supercritical fluid extraction plants for solid substrates, we are developing a computational tool to estimate changes in residual solute content in a solid substrate within one of the extraction vessels in a multi-vessel plant with a simulated counter-current contact between the solid substrate and continuously flowing supercritical CO_2. In this contribution we are illustrating the use of our computational tool to assess the productivity of vegetable oil of plants with six cubic meters of total extraction volume and having three or four vessels with an inner diameter of 68.3 cm using 5 mm-diameter pre-pressed rapeseed pellets (equivalent diameter = 6.67 mm, bulk density = 500 kg/m~3) as the substrate, and 2400-to-6000 kg/h of CO_2 at 40°C and 30 MPa as the solvent. For the purpose of assessing the annual productivity we assumed the plant operated continuously (24 h/day) during 300 day/year using 60°C and 8 MPa as the separation conditions. As expected, the productivity of the plant increased as the number of the extraction vessels or as the mass flow rate of CO_2 increased. However, this increased productivity should be associated with increased investment and operational costs which were not estimated as part of our work. Thus, our main result at present is a map of vegetable oil productivity as a function of plant configuration that we plan to use for the economic optimization of the process.
机译:对于用于固体基材的超临界流体提取厂的尺寸和优化感兴趣,我们正在开发一种计算工具,以在多血管厂中的一种提取容器中估计固体基质中的残留溶质含量的变化,其中多血管厂具有模拟的反应固体基材之间的电流接触和连续流动的超临界CO_2。在这一贡献中,我们说明了我们的计算工具的使用来评估植物的植物油的生产率,以六立方米的总萃取体积,并且使用5 mm直径的内径为68.3厘米的内径为3或四个容器油菜籽颗粒(当量直径= 6.67mm,批量密度= 500kg / m〜3)作为基材,2400至-6000kg / h在40℃和30mPa的溶剂中为溶剂。为了评估年生产率,我们假设使用60°C和8 MPa在300天/年期间连续(24小时/天)在连续(24小时/天)作为分离条件。正如预期的那样,植物的生产率随着萃取容器的数量或随着CO_2的质量流速增加而增加。然而,这种提高的生产力应与增加的投资和运营成本增加,这些费用未估计是我们工作的一部分。因此,我们目前的主要结果是植物油生产率的地图,作为植物配置的函数,我们计划用于该过程的经济优化。

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