Batch Distillation Modeling | Aspen Batch Modeler
  • Reduce Batch Time While Ensuring Optimum Product Quality and Production.

    Use Aspen Batch Modeler to combine reaction kinetics with the conceptual design, analysis, and optimization of batch processes. Reduce batch cycle times and ensure product quality with batch distillation modeling and batch reaction modeling.

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    Increase the yield of high-value products.

    Use Aspen Batch Modeler for batch distillation modeling and predict and optimize cycle times and pressure levels to increase product yield and purity. Rigorous batch distillation modeling and batch reaction modeling capabilities enable you to quickly and cost-effectively determine the optimum design and operating conditions, while maintaining the required product quality and ensuring safe operation.

    Integrate with aspenONE® Engineering.

    Batch distillation modeling can be performed standalone using Aspen Batch Modeler, or as part of a larger flowsheet simulation within the Aspen Plus environment. In both cases, Aspen Properties® is used seamlessly to predict the VLE or VLLE behavior.

    Identify optimal reaction kinetics models.

    An easy-to-use, workflow-oriented capability for chemists and engineers is available to identify reaction kinetics from experimental data and from Aspen Properties for using with batch reaction modeling. Multiple proposed reaction models can be evaluated to identify the optimal model for batch reaction modeling. Comprehensive kinetics includes Power Law and Langmuir-Hinshelwood reactions, reversible reactions, and mass transfer effects.

    Utilize the world’s largest database for physical properties.

    Aspen Batch Modeler works with Aspen Properties, the world’s most comprehensive physical property database useful for batch reaction modeling and batch distillation modeling. With data provided by the National Institute of Standards and Technology (NIST), Aspen Properties has the ability to handle solid, liquid, and gas processes, advanced electrolytes, and equation oriented (E/O) modeling modes.

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