Digital Twin Fundamentals for Offshore Wind
Price
Duration
Please inquire
1-Day
Dates
TBA - enroll to stay updated
Format
Course Status
Virtual (Live)
Open
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Digital Twin Fundamentals for Offshore Wind
This one-day course provides a comprehensive introduction to the concept and practical implementation of digital twins in the offshore wind industry. Participants will gain a deep understanding of digital twin technology, its applications, benefits, and its crucial role in enhancing operational efficiency, predictive maintenance, and decision-making processes within offshore wind projects.
This course provides valuable insights and practical skills, whether you are new to digital twins or seeking to expand your existing expertise in offshore wind technology.
Who Should Attend
This course is tailored for professionals in the offshore wind industry looking to enhance their knowledge of digital twins and how they can be effectively applied in wind farm operations.
Engineers
Project Managers
Data Analysts
O&M Professionals
Wind Farm Operators
Anyone Interested in Offshore Wind Technology Advancements
Course Curriculum
The course outline is subject to change. A detailed agenda will be shared after enrollment.
Course Completion Certificate
Upon completing at least 50% of the course and achieving a minimum passing score of 50% on a post-course assessment, participants will receive a course certificate valid for three years. This certificate verifies that the essential learning outcomes of the course have been met.
Course Instructors
Espen Krogh
Senior Technical Advisor, TGS
Espen Krogh is a Senior Technical Advisor at TGS and the chairperson of the OPC Foundation Wind Power Plant working group. In his career he has worked his way from being a software developer at Kongsberg Maritime to CTO and eventually CEO of TGS Prediktor, a company that was acquired by TGS in 2022. Espen headed TGS Prediktor when the company was awarded an extensive real-time data management contract for the SSE/Equinor Dogger Bank project — the world's largest offshore wind farm. TGS has data, expertise, and tools for the complete lifecycle of offshore wind farms.
Thibaut Forest
Principal Data Scientist, Equinor
Thibaut Forest is a Principal Data Scientist at Equinor with a six-year track record in creating digital solutions for wind farms. His skills in understanding data and applying machine learning have been key to a wide array of projects aimed at making wind farms more profitable, spanning both traditional and floating wind farms. Thibaut has led a team focused on monitoring the health of wind farm equipment and is currently working on new approaches to predict and prevent unexpected breakdowns. His work is especially important for the Dogger Bank wind farm, which is on track to become the largest of its kind in the world.
For all relevant student information on this course, such as the refund and cancellation, data protection policies, and more, please see the Student Info page below.