Reliable and Faster Project Execution by Leveraging Standardisation and State of The Art Automation Solution

Reliable and Faster Project Execution by Leveraging Standardisation and State of The Art Automation Solution

04 Sep 2018, 13:30 - 15:00

Gordon A
Language:
English

Session: Reliable and Faster Project Execution by Leveraging Standardisation and State of The Art Automation Solution - from Planning to Commissioning and the Impact to Existing Procedures

1330-1400 Presentation: On Schedule and on Budget Project Execution

haun Johnston, Global Director, Process Solutions Wood

1400-1430 Presentation: Inteligent projects  (Making use of digitalised workflows, leveraging Digital Twins from the very start and throughout the entire site lifecycle using parallel processes as much as possible leads to faster and lower cost project execution)

Joerg Schubert, Technology Manager, ABB’s Oil & Gas and Petrochemical business unit.

Abstract:

Execution of process automation projects has been very much serialised and on-schedule execution was depending on completion of other tasks not necessarily related to automation. In addition relevant data was held in multiple places and revisions and corrections were often done manually and had a high potential for errors. Digitalisation of workflows and modeling the site-reality into the automation solution as digital twin can overcome those constraints and allow for faster project execution together with better and more complete testing and simulation at a very early stage in the process. The virtual character of the digital twin paired with flexible automation networks and flexible IO solutions allow to the build and installation of hardware at site in parallel to the ongoing software application work. Emulation of physical hardware behavior and Simulation of the process help to reduce costly commissioning time down to the mandatory minimum of visiting a device only once during commissioning and are a mandatory precondition for a fast and smooth plant ramp up to full production capacity.

1430-1500 Panel Discussion

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