Resource assessment parameterization impact on wave energy converter power production and mooring loads

Bryson Robertson, Helen Bailey and Bradley Buckham

Applied Energy, 2019, vol. 244, issue C, 15 pages

Abstract: Assessing and quantifying a wave energy resource is difficult and complex. Parameterizing the spectral wave information, the distribution of winds and current directions and magnitudes, and the flow of tides, inherently discards valuable information and introduces uncertainty. The impact of this uncertainty on wave energy converter power production, mooring loads, and survivability metrics is still vague and unresolved. This novel work quantifies the uncertainty, and ranks the relative impact, of differing parameterizations of the wave and environmental conditions on wave energy converter power and mooring line tension predictions. The results shows a higher fidelity representation, when compared to the International Electrotechnical Commission Technical Specification requirements, reduces mean power predictions by 11.6%, but increases maximum predictions by 328%. For mooring tension (one metric for survivability), a higher fidelity representation indicates the frequently applied specification methods overpredicts the mean and maximum tensions by 182% and 729%, respectively. This research identifies wave groupiness and wind speed as dominant additional parameters to include for improved power estimation; and the difference between wave and current direction, and current speed for improve mooring line tension predictions. By quantifying the relative impact and ranking of environmental conditions on both power and mooring tension predictions, this novel work highlights the necessary and sufficient fidelity within the parameterization of environmental conditions for minimizing uncertainty in assessments of wave energy technologies.

Keywords: Wave energy resource assessment; Wave energy converters; Power production; Uncertainty; Survivability (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.apenergy.2019.03.208

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