دورية أكاديمية
Parametric study and optimization of a two‐body wave energy converter
العنوان: | Parametric study and optimization of a two‐body wave energy converter |
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المؤلفون: | Xingxian Bao, Weijie Xiao, Shubo Li, Gregorio Iglesias |
المصدر: | IET Renewable Power Generation, Vol 15, Iss 14, Pp 3319-3330 (2021) |
بيانات النشر: | Wiley, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Renewable energy sources |
مصطلحات موضوعية: | Wave power, Optimisation techniques, Other topics in statistics, Power engineering computing, Renewable energy sources, TJ807-830 |
الوصف: | Abstract The parametric study and optimization of a two‐body wave energy converter (WEC) for the wave and current conditions in the region of Zhaitang Island (China) is presented. Nine parameters are considered, and their influence on the power captured by the two‐body WEC is investigated following both single‐parameter and multi‐parameter approaches. A backpropagation neural network model is developed and applied to predict the captured power for any given values of the nine parameters and the wave frequency. Then the robust design method, also known as the Taguchi method, is implemented to study the comprehensive effects of the parameters on the power output of the device. Moreover, scale model experiments are conducted to verify and confirm the influence of the principal parameters on the power output. Combining numerical simulations, a neural network model and experimental work, this study provides an optimization programme for the main parameters of the device in the target sea region and, at a more general level, references for two‐body WEC designs based on specific sea states. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1752-1424 1752-1416 |
Relation: | https://doaj.org/toc/1752-1416; https://doaj.org/toc/1752-1424 |
DOI: | 10.1049/rpg2.12254 |
URL الوصول: | https://doaj.org/article/ff63528c4d004c4f87e03b869fa70e9a |
رقم الأكسشن: | edsdoj.ff63528c4d004c4f87e03b869fa70e9a |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 17521424 17521416 |
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DOI: | 10.1049/rpg2.12254 |