UK Offshore Wind Cost Optimisation: Top Head Mass Inès Tunga, IDCORE Research Engineer All Energy, 10th May 2017 2017 Energy Technologies Institute LLP The information in this document is the property of Energy Technologies Institute LLP and may not be copied or communicated to a third party, or used for any purpose other than that for which it is supplied without the express written consent of Energy Technologies Institute LLP. This 2017 information Energy is given Technologies in good faith based Institute upon the latest LLP information - Subject available to to notes Energy on Technologies page 1Institute LLP, no warranty or representation is given concerning such information, which must not be taken as establishing any contractual or other commitment binding upon Energy Technologies Institute LLP or any of its subsidiary or associated companies.
ETI Offshore Wind Programme background Purpose-built onshore test facility to reduce risks of mass production and deployment Valuable data on floating foundation design & Cost ETI Confidential Purpose Governance No additional restrictions
Research Objective: Introduction 4 Year EngD course Offshore wind, wave and tidal covered Variety of engineering backgrounds Currently ~ 50 students Year 1 Year 2 Year 3 Year 4 Module based- Edinburgh University Begin research project SAMS summer school Continue research Exeter summer school Complete research!
75/MWh or Lower? 50 75 Cavazzi, S (2015)
Research Objective (2) OWE-GIS Model Design to maximised P, Cp and minimal losses & cost Design Variables Spatial analysis Optimisation Methodology Objective Function(s)
How do we get the cost down?
Technology Trends 12.00 10.00 Power, MW 8.00 6.00 4.00 2.00 1G 2G 3G DD Linear (2G) Expon. (3G) Expon. (DD) Roland Berger, 2013 700 0.00 0 100 200 300 400 500 600 Top Head Mass, T 600 Power density (MW/t) 500 400 300 200 100 0 2008 2010 2012 2014 2016 2018 2020 2022 First year in service
How do we achieve this?
1600 Cumulative ranking, Highest-better,lowest-worst 1400 1200 1000 800 600 400 200 QFD Analysis DFIG Medium DFIG DDPM 0 Technical Requirements
Discussion Availability : Reliability, Redundancy measures Optimum material and component designs: Advanced Permanent magnets (R 2 Fe 14 B ) Efficient bearing configuration Decrease of structural mass ( upto 80% of total mass [2]) Embedded Power electronics Optimum Torque Vs Active material Polinder, H. 2007
Reflection Dependency on Rare Earth elements (Dy, Nd, Pr) for Permanent magnets Load and Cost impact on the drivetrain and overall turbine Impact on Implication on site selection (fixed Vs Floating platform) Can more saving be made by using HTS machines?
Thank you for your attention ETI STAND F40 Ines.tunga@eti.co.uk
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References [1] ETI Offshore Wind Programme [2] J.Carroll- Structural Mass [3] Reliability [4] Direct Drive Wind Turbine Generator with Magnetic Bearing http://repository.tudelft.nl/islandora/object/uuid:a0835edc-f436-40f7-9c7eff3b92c0ada3/datastream/obj/view [5] Effective policies for Booming Offshore Wind Sector- IEA RETD Report, 2017
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Cost Trend 180 160 140 120 LCOE ( /MWh) 100 80 60 40 20 0 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 TCE-1: Slow progression* TCE-3: Supply chain efficiency CRMF (UK average)** Industry 2020 target TCE-2: Technology acceleration TCE-4: Rapid progression EUR auction tenders (average)*** Industry 2025 target IEA RETD, 2017