Event

PROMO: Sheffield University – Mechanical Engineering Aspects of Wind Turbine Design

Feb 9th 2022 - Feb 9th 2022

Updated 27 January 2022

Please register at the bottom of this page

 

A free online UKMS event paid for by Sheffield University which looks at some of the crucial mechanical engineering issues in the design of wind turbines as part of two major offshore wind research projects: the Powertrain Research Hub and The Prosperity Partnership.

2nd in its series, this event will promote and disseminate results and innovations in the research being undertaken in the Department of Mechanical Engineering from both projects, looking at the overall aims and at four specific pieces of work. (More information below.)

DRAFT EVENT PROGRAMME

Start 14:00 UK (All times GMT)

End 17:00 UK (All times GMT)

Platform used: Zoom

FOLLOW UP CONTACT & GDPR

Please note that by providing your contact details during registration, you authorise us to

  • for this event only, pass these contact details to Sheffield University who may use them to contact you about related matters
  • use these contact details to let you know details of this event, and
  • add your contact details to our contact database to let you know about future UKMS events that may be of interest.

REGISTERING TO ATTEND

Please sign up at the bottom of this page. The event is free; you will be issued an invoice showing a balance of £0.00 once you have registered, but you do not need to pay anything. We will take the details you provide during registration and contact you with the details of the event closer to the time.

More on the Projects:

Powertrain Research Hub (PTRH)

Partners:

Key Objectives

  • Reliability improvement and advanced test methodology development
  • Advanced health condition monitoring and prognostic technologies
  • Development of next-generation powertrain components for larger turbines

The Department of Mechanical Engineering is working on:

  • Rolling bearing sensor systems
  • Bearing thermal monitoring
  • Damage and failure in wind turbine pitch bearings
  • Oil film sensors for a multilayer bearing
  • Evaluation and monitoring of bolt tightness on wind turbine drivetrain components

The Prosperity Partnership in Offshore Wind (TPP)

Partners:

Key Objectives

Structural Health Monitoring of Wind Turbine Blades

This research responds to the industrial drive and academic need to create, for the first time, automatic, online and continuous technologies for damage detection, location, severity assessment and prognosis in offshore wind structures and systems. The need is particularly pressing for the blades, where structural health monitoring (SHM) technology currently remains at an embryonic stage. The WP is to introduce and evolve diagnostic tools that can be used across populations; the ultimate aim being intelligent WTs that communicate with each other by exchanging information and to implement robust SHM/CM systems that learn when new data is coming. This will ultimately lead to less data storage/evaluation and quicker maintenance response times.

CONTACT DETAILS

Point of Contact: Keith Dean
Email: k.dean@sheffield.ac.uk

PROMO EVENTS

A new form of advertising from the UK Magnetics Society, PROMO events like this one will be developed by the Society and the client organisation. While the content will come from a single organisation, the event will still deliver technically engaging and informative content. They will also be much shorter than normal, multi-organisation events, and be free to attend.

If your organisation is interested in organising a similar event, please contact astewart@ukmagsoc.org.Prof


Speakers

What the Prosperity Partnership Projects aim to Achieve and Their Successes So Far
by Stephen Webb of EPSRC

Why the Partnership Works for Us
by Chris Briggs of Siemens Gamesa Renewable Energy

Overview of Research in the Department of Mechanical Engineering on the Prosperity Partnership
by Nikolaos Dervilis of University of Sheffield

Advanced Machine Learning for Wind Turbine Power Curves
by Keith Worden of University of Sheffield

Physics-Informed Machine Learning for Wind Turbine Health Monitoring
by Lizzy Cross of University of Sheffield

An Overview of the Work of the Catapult and the Benefits of Academic Partnerships
by Hyunjoo Lee, Knowledge Area Leader, Drive Trains of Offshore Renewable Energy Catapult (OREC)

Overview of Research in the Department of Mechanical Engineering on the PTRH
by Rob Dwyer-Joyce of University of Sheffield

Evaluation and Monitoring of Bolt Tightness on Wind Turbine Drive Train Components
by Gary Nicholas of University of Sheffield

Damage and Failure in Wind Turbine Pitch Bearings
by Eladio Hurtado of University of Sheffield


Programme

TimeSession TitleSession Host
13:45WelcomeKeith Dean, University of Sheffield
13:50What the Prosperity Partnership Projects aim to Achieve and Their Successes So FarStephen Webb, EPSRC
14:10Why the Partnership Works for UsChris Briggs, Siemens Gamesa Renewable Energy
14:30Overview of Research in the Department of Mechanical Engineering on the Prosperity PartnershipNikolaos Dervilis, University of Sheffield
14:50Advanced Machine Learning for Wind Turbine Power CurvesKeith Worden, University of Sheffield
15:10Physics-Informed Machine Learning for Wind Turbine Health MonitoringLizzy Cross, University of Sheffield
15:30Comfort Break
15:40An Overview of the Work of the Catapult and the Benefits of Academic PartnershipsHyunjoo Lee, Offshore Renewable Energy Catapult (OREC)
16:00Overview of Research in the Department of Mechanical Engineering on the PTRHRob Dwyer-Joyce, University of Sheffield
16:20Evaluation and Monitoring of Bolt Tightness on Wind Turbine Drive Train ComponentsGary Nicholas, University of Sheffield
16:40Damage and Failure in Wind Turbine Pitch BearingsEladio Hurtado, University of Sheffield
17:00Event CloseKeith Dean, University of Sheffield

Registration

Type Standard Fee Group Discount
(3+ delegates)
Delegate N/A
Register to attend this event