Siemens, PSE to Collaborate on Model-Based Solutions

Author photo: Peter Reynolds
ByPeter Reynolds
Category:
Acquisition or Partnership

Siemens AG and Process Systems Enterprise (PSE) announced that they have signed a long-term collaboration agreement to bring the power of PSE's gPROMS APM technology to Siemens automation and digitalization offerings for the process industries.  Under the agreement, the companies are bringing to market a new set of solutions for long-term equipment and health monitoring, soft-sensing, prediction of future process performance, real-time optimization, and operator training incorporating high-fidelity models.  The solutions are all based on the combination of process models that embody deep process knowledge with real-time, as well as historical, plant data.

Typical customer benefits of such applications include better operations through enhanced, up-to-the-minute decision support information; improved maintenance scheduling through run length prediction; improved economics from real-time optimization; and improved asset integrity from better health monitoring.  The technologies are capable of driving next-level productivity enhancements to operations in the chemicals & petrochemicals, oil & gas, refining, pharmaceutical, food & beverage and water industries.  Future developments will see similar model-based approaches integrated over the whole lifecycle of a process plant.  

At Achema, Siemens and PSE are demonstrating digital process twin technology for an ethylene plant, implemented using PSE's gPROMS Olefins Operational Excellence tools. Industrial application of such techniques on a large-scale ethylene plant has demonstrated a two percent improvement in yield. Also demonstrated are a soft sensing application and model predictive control for a continuous wet granulation tablet manufacturing in pharma.

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