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Installation, Operation, and Maintenance Strategies to Reduce the Cost of Offshore Wind Energy

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 01 Jul 2013 United States Publisher:Office of Scientific and Technical Information (OSTI)

Authors: Maples, B.; Saur, G.; Hand, M.; van de Pieterman, R.; Obdam, T.;

doi: 10.2172/1087778 , 10.2172/1220079

Installation, Operation, and Maintenance Strategies to Reduce the Cost of Offshore Wind Energy

- Summary
- Subjects
- Metrics

Abstract

Currently, installation, operation, and maintenance (IO&M) costs contribute approximately 30% to the LCOE of offshore wind plants. To reduce LCOE while ensuring safety, this paper identifies principal cost drivers associated with IO&M and quantifies their impacts on LCOE. The paper identifies technology improvement opportunities and provides a basis for evaluating innovative engineering and scientific concepts developed subsequently to the study. Through the completion of a case study, an optimum IO&M strategy for a hypothetical offshore wind project is identified.

Country

United States

Related Organizations

University of North Texas
United States
Energy Research Centre of the Netherlands
Netherlands
Energy Research Centre of the Netherlands
Netherlands
National Renewable Energy Laboratory
United States
National Renewable Energy Laboratory
United States

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Keywords

Cost Of Energy, Wind Energy, Energy Analysis, 17 Wind Energy Offshore Wind, Offshore Wind

Impact byBIP!

	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).	70
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	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 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%