MATLAB and Simulink Seminars

Gas Turbine Digital Twin for Performance Diagnostics and Optimization

Event Type Start Time End Time
Webex 17 Nov 2021 - 1:00 PM CST 17 Nov 2021 - 2:00 PM CST

Overview

In today’s world of Next Industrial Revolution many key industry players are forced to change their conventional process and practices. To join this major transformation, usually referred to us as the Industry 4.0, they must pursue extensive R&D efforts in area of developing Cyber-Physical Systems. 

The industrial automation already begun with implementation of processes that can accommodate developing Cyber-Physical Systems which can offer seamless connectivity with Internet of Things Platforms. A Digital Twin concept as a part of Industry 4.0 strategy can offer answers for these challenges by integrating and deploying different variants of Digital Twins (Production, Product and Performance) of the physical assets on various systems such as Embedded, Edge and Cloud Platforms. 

This talk will discuss development of a Gas Turbine Performance Digital Twin by use of tools such as Simulink Real-Time and Simulink PLC Coder.  The developed Performance Digital Twin utilizes Real-Time high-speed computing and can be leveraged with various Enterprise and IOT Cloud Platforms. Proposed solutions are provided in a form of modular software architecture for a range of hardware platforms with corresponding functionalities to support model-based control strategies and advanced asset health management. 

This project explored novel advanced techniques, which can meet the challenging requirements of increased reliability, improved efficiency and extended operational life of gas turbine assets. The Digital Twins based on real-time dynamic engine models has emerged as the most viable approach for solving challenging control and diagnostics requirements. 

The developed real-time on-line Digital Twin technology has the ability to enhance current state-of -the-art offerings which are predominantly based on non-real time and off-line solutions. The devised solution highlights the next generation of Digital Twins that exploit modular functionalities distributed across the whole IoT chain consisting of Embedded, Edge and Cloud computational platforms. The gas turbine Performance Digital Twin has been deployed on the operational site and collected field data have been analyzed and presented in this study.

About the Presenter

Dr. Vili Panov, Advisory Expert
Siemens Energy Industrial Turbomachinery Ltd, UK

Dr. Vili Panov is Chartered Engineer and Member of IMechE. Currently he is employed as an Advisory Key Expert by Siemens Energy Industrial Turbomachinery Ltd. He is appointed Visiting Professor of Health Monitoring and Diagnostics in College of Science at University of Lincoln. He received the Dipl.-Ing. degree in Mechanical Engineering in 1996 and the M.Sc. degree in Aeronautical Engineering in 2002, from University of Belgrade. Dr. Panov was awarded a Ph.D. in Engineering Mechanics form Cranfield University in 2006, and he has more than 20 years of experience in the turbomachinery sector. 

gas-turbine-digital-twin

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