Accepted author manuscript, 1.01 MB, PDF document
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Exploring Uncertainties and Challenges in Wave Energy Resource Assessment
AU - Oikonomou, Charikleia
AU - Rizaev, Igor
AU - Korres, Gerasimos
AU - Sheng, Wanan
AU - Aggidis, George
PY - 2024/6/17
Y1 - 2024/6/17
N2 - We evaluate the uncertainties in wave parameters that are critical for the wave energy sector using the high-quality Mediterranean waves dataset from the Copernicus Marine Service. The reanalysis dataset is benchmarked against data from buoys deployed offshore south Spain. While the reanalysis offers accurate predictions of wave height and period, well capturing their variability, it slightly under predicts them within the operational range of wave energy converters. During extreme waves (wave energy converter survival mode conditions), the model underestimates the wave height marginally. We demonstrate the applicability of two bias correction techniques: Delta-change and empirical quantile mapping.While both are effective in reducing uncertainty, the empirical quantile mapping method outperforms the former for extreme waves. This study seeks to improve the accuracy of wave energy resource assessments by providing a comprehensive set of guidelines outlining a systematic approach to address uncertainties. The guidelines cover essential aspects such as data collection and preparation, uncertainty evaluation, and bias correction implementation and efficiency assessment. The framework ensures the integrity of the data and the robustness of the model performance, potentially facilitating the preparation of future resource projections.
AB - We evaluate the uncertainties in wave parameters that are critical for the wave energy sector using the high-quality Mediterranean waves dataset from the Copernicus Marine Service. The reanalysis dataset is benchmarked against data from buoys deployed offshore south Spain. While the reanalysis offers accurate predictions of wave height and period, well capturing their variability, it slightly under predicts them within the operational range of wave energy converters. During extreme waves (wave energy converter survival mode conditions), the model underestimates the wave height marginally. We demonstrate the applicability of two bias correction techniques: Delta-change and empirical quantile mapping.While both are effective in reducing uncertainty, the empirical quantile mapping method outperforms the former for extreme waves. This study seeks to improve the accuracy of wave energy resource assessments by providing a comprehensive set of guidelines outlining a systematic approach to address uncertainties. The guidelines cover essential aspects such as data collection and preparation, uncertainty evaluation, and bias correction implementation and efficiency assessment. The framework ensures the integrity of the data and the robustness of the model performance, potentially facilitating the preparation of future resource projections.
KW - Wave Energy Resource
KW - Model Uncertainty
KW - Mediterranean Wave Reanalysis
KW - Bias correction
KW - Wave Energy Variability
KW - Survival Mode Wave Conditions
M3 - Conference contribution/Paper
SP - 624
EP - 632
BT - Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference
ER -