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TOWARDS AUTOMATED SELF-OPTIMISATION OF CONTINUOUS HETEROGENEOUS CATALYSIS IN SUPERCRITICAL CO_2

机译:在超临界CO_2中的连续异质催化自动优化自动优化

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Supercritical fluids (SCFs) have been extensively investigated as alternative solvents for chemical reactions, due to their lower environmental impact and the possibility of tunning their properties by changing the reaction conditions.[1, 2] Using SCFs with continuous heterogeneous catalytic reactions enables facile separation of products from the catalyst and avoids the hazards normally associated with traditional liquid catalysts.[3-5] Continuous reactors can also achieve the same productivity as much larger volume batch reactors; improving safety, allowing for just-in-time manufacture and potentially reducing costs. The reaction factors such as temperature, pressure and residence time can be varied almost independently of each other in a continuous flow process allowing the optimum conditions to be more readily achieved then in the analogous batch process.[3,6-8]
机译:由于它们的环境影响较低和通过改变反应条件调整其性能的可能性,超临界流体(SCFS)被广泛地研究了化学反应的替代溶剂。[1,2]使用具有连续的异质催化反应的SCF,使得能够进行嵌入分离来自催化剂的产品,避免了与传统液体催化剂通常相关的危害。[3-5]连续反应器也可以实现与更大的体积批量反应器相同的生产率;提高安全性,允许立即制造和可能降低成本。在连续的流动过程中,在连续的流程过程中几乎可以在允许更容易地实现的最佳条件下几乎独立地变化,诸如温度,压力和停留时间,然后在类似的批次过程中更容易地实现。[3,6-8]

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