Siemens, PSE to Collaborate on Model-Based Solutions
Strategic collaboration of Siemens and PSE extends integrated digitalization portfolio for process industries
Close linkage of Comos, Simatic PCS 7 and Simit with PSE’s gPROMS Advanced Process Modelling technology
Integrated use of Advanced Process Modelling along plant lifecycle
Model-based solutions are essential complements of the Siemens portfolio
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 optimisation; 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.
Eckard Eberle, CEO of the Process Automation Business Unit (PD PA) and Director in charge of the Siemens booth at the Achema, says: “Siemens has already made Integrated Engineering a reality; by collaborating with PSE, we are taking a further step into model-based operations with two very complementary sets of technologies. This is digitalization at its best.” Costas Pantelides, MD of PSE, says: “The combination of high-fidelity predictive models and real-time data is enormously powerful. This is a time of extraordinary opportunities for the process industries, made possible by the culmination of many years of development in advanced modelling and in the enabling computer science and mathematics”.
Pantelides concludes: “There is an increasingly compelling case for capturing deep process knowledge in the form of predictive models, which can come naturally from R&D and engineering design activities, then using these within a digitalization framework to generate value at every step.”
This press release is available at
www.siemens.com/press/PR2018060207PDEN
www.psenterprise.com/news/pr180612
For further information on Siemens and PSE at Achema 2018, please see www.siemens.com/achema and
www.psenterprise.com/events/emea/achema-2018
View source version on businesswire.com: https://www.businesswire.com/news/home/20180612006377/en/
Website: http://www.psenterprise.com
Contact
PSE:
Kate Burness
+44-20-8563-0888
k.burness@psenterprise.com
Siemens
Evelyne Kadel
+49 (0)211 6916-1003
evelyne.kadel@siemens.com
This news is a press release provided by Process Systems Enterprise Limited.
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2021년 4월 28일 14:30
