Penalba, Markel and Ringwood, John (2018) The impact of a high-fidelity wave-to-wire model in control parameter optimisation and power production assessment. In: ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. ASME. ISBN 9780791851319
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Abstract
Accurate control parameter optimisation and power production assessment is essential to evaluate the performance of
a wave energy converter (WEC). However, commonly used numerical models excessively simplify the power take-off (PTO) system of the WEC, which may strongly affect power production
predictions. Therefore, the present paper compares a commonly
used WEC model that includes nonlinear viscous losses and an
ideal PTO system model, referred to as NLideal, with a highfidelity wave-to-wire model (HFW2W) model. Results show the
incapacity of the commonly used NLideal model to accurately
optimise control parameters, particularly using reactive control.
Likewise, the annual mean power production (AMPP) predicted
using the NLideal model is significantly overestimated, with differences of up to 160% with respect to the more realistic HFW2W
model. More dramatically, the use of control parameters optimised with the NLideal model in the HFW2W model results in
negative AMPP, meaning that the WEC consumes more energy
than it produces.
Item Type: | Book Section |
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Additional Information: | Cite as: Penalba, Markel, and Ringwood, John V. "The Impact of a High-Fidelity Wave-to-Wire Model in Control Parameter Optimisation and Power Production Assessment." Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. Volume 10: Ocean Renewable Energy. Madrid, Spain. June 17–22, 2018. V010T09A039. ASME. https://doi.org/10.1115/OMAE2018-77501 |
Keywords: | high-fidelity wave-to-wire model; control parameter; optimisation; power production assessment; Ocean Renewable Energy; energy generation; eomputer simulation, wave energy converters; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 13346 |
Identification Number: | 10.1115/OMAE2018-77501 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 01 Oct 2020 16:45 |
Publisher: | ASME |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/13346 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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