Joint Modelling of Wave Energy Flux and Wave Direction
In the context of wave resource assessment, the description of wave climate is usually confined to significant wave height and energy period. However, the accurate joint description of both linear and directional wave energy characteristics is essential for the proper and detailed optimization of wa...
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ftdoajarticles:oai:doaj.org/article:76e9143361724dd28c0382e219fb6407 2024-01-07T09:45:11+01:00 Joint Modelling of Wave Energy Flux and Wave Direction Takvor H. Soukissian Flora E. Karathanasi 2021-03-01T00:00:00Z https://doi.org/10.3390/pr9030460 https://doaj.org/article/76e9143361724dd28c0382e219fb6407 EN eng MDPI AG https://www.mdpi.com/2227-9717/9/3/460 https://doaj.org/toc/2227-9717 doi:10.3390/pr9030460 2227-9717 https://doaj.org/article/76e9143361724dd28c0382e219fb6407 Processes, Vol 9, Iss 3, p 460 (2021) wave energy flux wave direction mixture distribution bivariate distribution wave energy converters European seas Chemical technology TP1-1185 Chemistry QD1-999 article 2021 ftdoajarticles https://doi.org/10.3390/pr9030460 2023-12-10T01:47:54Z In the context of wave resource assessment, the description of wave climate is usually confined to significant wave height and energy period. However, the accurate joint description of both linear and directional wave energy characteristics is essential for the proper and detailed optimization of wave energy converters. In this work, the joint probabilistic description of wave energy flux and wave direction is performed and evaluated. Parametric univariate models are implemented for the description of wave energy flux and wave direction. For wave energy flux, conventional, and mixture distributions are examined while for wave direction proven and efficient finite mixtures of von Mises distributions are used. The bivariate modelling is based on the implementation of the Johnson–Wehrly model. The examined models are applied on long-term measured wave data at three offshore locations in Greece and hindcast numerical wave model data at three locations in the western Mediterranean, the North Sea, and the North Atlantic Ocean. A global criterion that combines five individual goodness-of-fit criteria into a single expression is used to evaluate the performance of bivariate models. From the optimum bivariate model, the expected wave energy flux as function of wave direction and the distribution of wave energy flux for the mean and most probable wave directions are also obtained. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Processes 9 3 460 |
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collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
wave energy flux wave direction mixture distribution bivariate distribution wave energy converters European seas Chemical technology TP1-1185 Chemistry QD1-999 |
spellingShingle |
wave energy flux wave direction mixture distribution bivariate distribution wave energy converters European seas Chemical technology TP1-1185 Chemistry QD1-999 Takvor H. Soukissian Flora E. Karathanasi Joint Modelling of Wave Energy Flux and Wave Direction |
topic_facet |
wave energy flux wave direction mixture distribution bivariate distribution wave energy converters European seas Chemical technology TP1-1185 Chemistry QD1-999 |
description |
In the context of wave resource assessment, the description of wave climate is usually confined to significant wave height and energy period. However, the accurate joint description of both linear and directional wave energy characteristics is essential for the proper and detailed optimization of wave energy converters. In this work, the joint probabilistic description of wave energy flux and wave direction is performed and evaluated. Parametric univariate models are implemented for the description of wave energy flux and wave direction. For wave energy flux, conventional, and mixture distributions are examined while for wave direction proven and efficient finite mixtures of von Mises distributions are used. The bivariate modelling is based on the implementation of the Johnson–Wehrly model. The examined models are applied on long-term measured wave data at three offshore locations in Greece and hindcast numerical wave model data at three locations in the western Mediterranean, the North Sea, and the North Atlantic Ocean. A global criterion that combines five individual goodness-of-fit criteria into a single expression is used to evaluate the performance of bivariate models. From the optimum bivariate model, the expected wave energy flux as function of wave direction and the distribution of wave energy flux for the mean and most probable wave directions are also obtained. |
format |
Article in Journal/Newspaper |
author |
Takvor H. Soukissian Flora E. Karathanasi |
author_facet |
Takvor H. Soukissian Flora E. Karathanasi |
author_sort |
Takvor H. Soukissian |
title |
Joint Modelling of Wave Energy Flux and Wave Direction |
title_short |
Joint Modelling of Wave Energy Flux and Wave Direction |
title_full |
Joint Modelling of Wave Energy Flux and Wave Direction |
title_fullStr |
Joint Modelling of Wave Energy Flux and Wave Direction |
title_full_unstemmed |
Joint Modelling of Wave Energy Flux and Wave Direction |
title_sort |
joint modelling of wave energy flux and wave direction |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/pr9030460 https://doaj.org/article/76e9143361724dd28c0382e219fb6407 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Processes, Vol 9, Iss 3, p 460 (2021) |
op_relation |
https://www.mdpi.com/2227-9717/9/3/460 https://doaj.org/toc/2227-9717 doi:10.3390/pr9030460 2227-9717 https://doaj.org/article/76e9143361724dd28c0382e219fb6407 |
op_doi |
https://doi.org/10.3390/pr9030460 |
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