Lead Session Chair:
Stephan Barth, Managing Director, ForWind - Center for Wind Energy Research, Germany
Thrasyvoulos Panteleon (1) F P Sean Huff (1) Peter Strachan (2)
(1) SeaEnergy PLC , Aberdeen, United Kingdom (2) , , United Kingdom (3) Robert Gordon University, Aberdeen, United Kingdom
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Presenter's biographyBiographies are supplied directly by presenters at OFFSHORE 2015 and are published here unedited
Mr. Thrasyvoulos (Thrassos) Panteleon has joined SeaEnergy PLC as a KTP Associate. His role is to design and develop an O&M tool for the offshore wind industry. Thrassos is holding a BSc in Physics, MSc in Statistics and MSc in Renewable Energy, and has studied in Greek, English and German universities. After his studies he worked for 3E and Goldwind, in Belgium and China respectively where he was involved in offshore wind projects.
O&M Decision Making Model
Over the past 20 years the offshore wind industry has changed dramatically. Technology has improved significantly with large wind turbines installed in deeper waters and farther from shore. However LCOE remains relatively high due to high capital expenditures (CAPEX) and operations and maintenance (OPEX) with continuing challenges maintaining availability.
By improving the availability of a modern offshore wind farm (for example 100 WT, total capacity of 300MW) by 1%, the annual production value would rise more than €2,000,000.
The complexity of new wind farms, far from the shore and larger in size, creates the need for a real time O&M optimisation model.
SeaEnergy PLC, via a Knowledge Transfer Partnership (KTP) with Robert Gordon University, aims to create a vessel logistic planning tool for maintenance in order to optimise operations and maintenance.
The process for developing this model is progressing via 6 phases:
• Market Review/Feedback
• Sensitivity Analysis
• Publish Results and Findings
This process will be continuously repeated as market feedback informs improvements to the model.
Main body of abstract
Operations and maintenance providers for any offshore wind farm face a logistical struggle to optimise their time and resources. This model will be able to make real-time maintenance decisions based on factors such as the ability of the vessel to transfer personnel to the turbine, adherence to health and safety rules, the duration and thus ability to use weather windows, and crew and materials availability, amongst other issues. In short, this model will incorporate all pertinent data inputs to maximise the value of the wind farm by optimising the availability.
SeaEnergy PLC and Robert Gordon University via the KTP are preparing an optimisation model for O&M. This model will be applied on wind farm vessels and it is expected to improve wind farm availability via the efficient use of time and resources.
• O&M optimisation modelling
• Improving wind farm availability
• Decreasing LCOE