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Using physics-based executable digital twins to achieve operational excellence in energy and process

Learn how digital twins enable comprehensive digitalization and operational excellence while hearing how chemical manufacturer BASF deployed an executable digital twin and improved operations.

11 décembre 2024 à 16:00 temps universel coordonné

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Engineer with hard hat sitting in front of a computer monitor working on an executable digital twin.

Energy-intensive industries including oil and gas, process and power generation are under increasing pressure to decarbonize while maintaining profitability, safety and continuity. To help meet these goals, businesses can improve their operational efficiency and innovation by adopting advanced digital technologies.

In this live webinar, you'll learn why physics-based executable digital twins and physics-informed artificial intelligence (AI) are crucial for businesses to achieve comprehensive digitalization and operational excellence.

Watch the webinar to learn:

  • How executable digital twins help improve operational productivity and <a href="https://www.sw.siemens.com/en-US/digital-thread/smart-manufacturing/industrial-energy-management/" target="_blank">industrial energy management</a> in a safe, reliable and scalable way
  • An overview of advanced technologies that can increase uptime, provide RUL assessments, offer virtual sensing and enable "what-if" evaluations
  • Highlights and insights on how PA-ATS supported BASF’s successful experience using an executable digital twin in its steam and cooling water networks </li></ul>

À propos des intervenants

PA-ATS

Inge Laureyn

Manager Process Optimization – Human Centric Manufacturing

Inge Laureyn is a result-driven consultant with a PhD in Applied Biological Science, specializing in optimizing processes and efficiency. She has a strong background in the chemicals industry, with skills in R&D, process optimization, chemistry, manufacturing and process safety. Inge is committed to continuous improvement and creating solutions in operational effectiveness and human-centric manufacturing. She has expertise in situational awareness, process simulation, data analytics and advanced process control.

Siemens Digital Industries Software

Shivdeep Gaagat

Industry Lead for Energy, Simulation and Test Division

Shivdeep is the Industry Lead for Energy at Siemens Simcenter, specializing in modeling and simulation technologies for R&D, engineering and operational excellence. He has extensive experience as a technical consultant in asset-heavy industries like process, oil and gas, power, marine and infrastructure. Shivdeep has worked for over 12 years with major Owner-operators and EPCs in Europe to enhance ROI from modeling and simulation, solving complex engineering problems with high business impact. He holds a bachelor’s degree from the Indian Institute of Technology and a master’s from Ecole Centrale Paris.