[Case Study: New Listing] Nissan Chemical Improves the Speed and Accuracy of Steam Reforming Equipment Models with Aspen Hybrid Model

Nissan Chemical Corporation is considering modeling an ammonia plant and conducting a study on cost reduction, initially focusing on steam reforming. The company has struggled to accurately model processes and assets using existing rigorous reactor simulations. This requires temperature profiles of process fluids, and accurately estimating or measuring the temperature distribution within the reactor has been challenging. Due to such constraints in conventional models, the company wanted to try a different approach. Ultimately, they chose Aspen Hybrid Models and Aspen Plus based on first principles.
【Twice the speed】Build models that surpass conventional ones more quickly
【Up to 1%】Cost reduction rate achievable through optimization of steam input
【Improved accuracy and sustainability】Enhance predictive insights through the use of AI
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