quantifying sea state parameters influence over wec’s ... · axisymmetrical wave energy converter...

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Quantifying sea state parameters influence over WEC’s performances Remy Pascal and Ian Bryden Work stream 1: numerical and experimental convergence Introduction Due to the large variety of sea states that a Wave Energy Converter can encounter, a statistical description of a location wave climate matching with the performance description of a WEC is needed to “forecast” its production. This PhD project aims to identify which of the directional sea state statistical parameters are the most relevant for WEC production estimation. An experimental approached is selected, using several type of devices to get an overview of the most influential parameters independently of the type of WEC. References 1.Saulnier, J.B., Ricci, P., Pontes, T. and Falcão. A., "Sensitivity of an Axisymmetrical Wave Energy Converter to Spectral Bandwidth." In Proceedings of the 17 th International Offshore and Polar Engineering Conference, 2007. 2.Holmes, B, Nielsen, K. and Barrett, S., "Wave Energy Development & Evaluation Protocol." In Proceedings of the 7 th European Wave and Tidal Energy Conference. Porto, Portugal, 2007. Institute for Energy Systems The University of Edinburgh Kings Buildings Edinburgh EH9 3JL The Devices Models of 3 type of devices are selected, with resonating period around 1Hz to match the Edinburgh Curved wave tank. A OWC as a omni-directional device. A pair of OWCs forming a single device as a weekly directional device A model of the Desalination Duck as a fully directional device 1 st Test Phase March to June 2010 The first phase of testing explored the spectral parameters associated to uni-modal spectra. The mean direction of propagation is not considered as most device can align themselves with the waves. More work will be needed on arrays as this hypothesis cannot be done in this case. A full factorial design was be used for this phase, helping the understanding of the effect of interaction between parameters Parameter List: Angular Spreading ( 2 levels ) Direction of propagation shift (2 levels) Energy Period T E ( 3 levels ) Frequency spreading (2 levels) Variation of the mean direction of propagation The initial results of this phase show that the wave directionality do not influence the results of the OWC and the pair of OWC. However, the frequency spreading is almost as influent as the energy period OWC model from Queen's University Belfast. Using the same models for these experiments as the ones by Matt Folley in Belfast will increase the confidence in the results and could create added value trough the results comparisons Effect magnitude plot. Blue: single OWC. Black: double OWC Representation of the variation induced by each parameters in the parametric model 1 st Phase Results From the first phases, analysis of the results lead to parametric model of the normalised power output of each device. Single OWC: P n =−5.33 9.33 T E 3.69 T E 2 13.34 H m0 3.30 f s 4.52 T E f s P n =−5.35 9.62 T E 3.70 T E 2 6.00 H m0 3.15 f s 4.19 T E f s Double OWC

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Page 1: Quantifying sea state parameters influence over WEC’s ... · Axisymmetrical Wave Energy Converter to Spectral Bandwidth." In Proceedings of the 17th International Offshore and Polar

Quantifying sea state parameters influence over WEC’s performances

Remy Pascal and Ian BrydenWork stream 1: numerical and experimental convergence

IntroductionDue to the large variety of sea states that a Wave Energy Converter can encounter, a statistical description of a location wave climate matching with the performance description of a WEC is needed to “forecast” its production.This PhD project aims to identify which of the directional sea state statistical parameters are the most relevant for WEC production estimation.An experimental approached is selected, using several type of devices to get an overview of the most influential parameters independently of the type of WEC.

References1.Saulnier, J.B., Ricci, P., Pontes, T. and Falcão. A., "Sensitivity of an Axisymmetrical Wave Energy Converter to Spectral Bandwidth." In Proceedings of the 17th International Offshore and Polar Engineering Conference, 2007.

2.Holmes, B, Nielsen, K. and Barrett, S., "Wave Energy Development & Evaluation Protocol." In Proceedings of the 7th European Wave and Tidal Energy Conference. Porto, Portugal, 2007.

Institute for Energy SystemsThe University of EdinburghKings BuildingsEdinburgh EH9 3JL

The DevicesModels of 3 type of devices are selected, with resonating period around 1Hz to match the Edinburgh Curved wave tank.

● A OWC as a omni-directional device.

● A pair of OWCs forming a single device as a weekly directional device

● A model of the Desalination Duck as a fully directional device

1st Test Phase March to June 2010The first phase of testing explored the spectral parameters associated to uni-modal spectra. The mean direction of propagation is not considered as most device can align themselves with the waves. More work will be needed on arrays as this hypothesis cannot be done in this case.A full factorial design was be used for this phase, helping the understanding of the effect of interaction between parameters

Parameter List:

• Angular Spreading ( 2 levels )• Direction of propagation shift (2 levels)

• Energy Period TE ( 3 levels )

• Frequency spreading (2 levels)•Variation of the mean direction of propagation

The initial results of this phase show that the wave directionality do not influence the results of the OWC and the pair of OWC. However, the frequency spreading is almost as influent as the energy period

OWC model from Queen's University Belfast.Using the same models for these experiments as the ones by Matt Folley in Belfast will increase the confidence in the results and could create added value trough the results comparisons

Effect magnitude plot. Blue: single OWC. Black: double OWCRepresentation of the variation induced by each parameters in the parametric model

1st Phase ResultsFrom the first phases, analysis of the results lead to parametric model of the normalised power output of each device.

Single OWC:

Pn=−5.339.33⋅T E−3.69⋅T E213.34⋅Hm03.30⋅f s−4.52⋅T E⋅f s

Pn=−5.359.62⋅T E−3.70⋅T E26.00⋅Hm03.15⋅f s−4.19⋅T E⋅f s

Double OWC

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