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Comparison of Levelized Cost of Energy of Superconducting Direct Drive Generators for a 10-MW Offshore Wind Turbine

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jun 2018 United Kingdom, Netherlands Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Applied Superconductivity, volume 28, pages 1-5 (issn: 1051-8223, eissn: 1558-2515,

Authors: Asger Bech Abrahamsen; Dong Liu; Niklas Magnusson; Arwyn Thomas; Ziad Azar; Ewoud Stehouwer; Ben Hendriks; +8 Authors

doi: 10.1109/tasc.2018.2810294

Comparison of Levelized Cost of Energy of Superconducting Direct Drive Generators for a 10-MW Offshore Wind Turbine

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Abstract

A method for comparing the levelized cost of energy (LCoE) of different superconducting drive trains is introduced. The properties of a 10-MW MgB2 superconducting direct-drive generator and the cost break down of the nacelle components are presented and scaled up to a turbine with a rotor diameter of up to 280 m. The partial load efficiency of the generator is evaluated for a constant cooling power of 0, 50, and 100 kW, and the annual energy production is used to determine the impact on the LCoE.

Countries

United Kingdom, Netherlands

Related Organizations

Aalborg University
Denmark
Delft University of Technology
Netherlands
University of Strathclyde
United Kingdom
IT University of Copenhagen
Denmark
University of Edinburgh
United Kingdom

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Keywords

690, superconductor, Electrical engineering. Electronics Nuclear engineering, TK, wind energy, levelized cost of energy (LCoE), Generators

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	42
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%