Enhancing Ammonia Manufacturing Efficiency
Nissan Chemical, a leading player in the chemical industry, sought to improve its ammonia manufacturing process by reducing operating costs and optimizing efficiency. To achieve this goal, they required a simulation model that could accurately replicate the complex behavior of a real plant. The solution came in the form of Aspen Plus Biochemical Process Modeling.
The Power of Aspen Hybrid Models
With the implementation of Aspen Hybrid Models, Nissan Chemical was able to develop a cutting-edge model that not only replicated real plant data with exceptional accuracy but also did so at double the speed compared to conventional reformer models. This transformative technology allowed Nissan Chemical to streamline their operational processes, enhance productivity, and achieve significant cost savings.
Accelerating Profit, Safety, and Sustainability Goals
By leveraging Industrial AI-powered hybrid modeling, Nissan Chemical was able to optimize the design, operation, and maintenance of their plants, ultimately accelerating their profit, safety, and sustainability objectives. This advanced modeling approach empowered the company to drive its sustainability initiatives forward while ensuring operational excellence and cost efficiency.
Empowering Digital Transformation
AspenTech's innovative Industrial AI, plant digitalization, and digital twin technology played a crucial role in supporting Nissan Chemical's digital transformation journey. These solutions not only enabled the company to achieve downtime reduction and enhance asset performance but also facilitated seamless integration of IoT predictive maintenance solutions for improved operational efficiency.