“Organisations can now maximise the digital value of their investment by creating a digital twin once during plant design and using it across the lifecycle of their operations,” said Jim Nyquist, group president for Emerson’s Systems & Solutions business. “This makes digital transformation via digital twin more real and practical for the process industries.”
Digital twin technologies are a component of Emerson’s Plantweb™ digital ecosystem, a scalable portfolio of solutions that enable digital transformation, and are increasingly sought-after solutions for organisations looking to utilise energy and materials resources more efficiently to lower costs and increase output.
The Mimic HYSYS Link software includes automated configuration tools that enable bulk data transfer between Emerson and AspenTech systems, reducing integration time and engineering hours. Built-in readiness for virtualisation and cloud technologies in Mimic software make it easier for users to maintain up-to-date engineering and training environments and avoid the large capital expense of creating duplicate physical hardware systems. Organisations can continuously update their digital twins for greater decision integrity and thereby use real-time dynamic models to test performance improvements safely in a cloud-based simulation before deploying at their actual plant.
One of the prime barriers to digital transformation - including adopting a digital twin - is how to scale the technologies for an operating unit, a site, and enterprises. Mimic’s selective fidelity process modelling allows organisations to choose the design detail of their digital twin’s simulation scaled to the organisation’s budget and potential return on investment. Operations that have a foundation of HYSYS models can economically expand their model base to include more of the operation.
The simulation software works natively with Emerson’s DeltaV™ distributed control system or connects into third-party control systems, giving organisations added efficiencies when using DeltaV or the ability to model different areas of their operations that may use different control systems using only one simulation interface.
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