Empirical Predictions on Wave Overtopping for Overtopping Wave Energy Converters: A Systematic Review

被引:2
|
作者
Cao, Deping [1 ]
He, Jie [1 ]
Chen, Hao [2 ]
机构
[1] Tongji Univ, Dept Hydraul Engn, 1239 Siping Rd, Shanghai 200092, Peoples R China
[2] Newcastle Univ, Fac Sci Agr & Engn, Newcastle Upon Tyne NE1 7RU, England
关键词
breakwaters; empirical formulas; experimental model; overtopping; Wave Dragon; PERFORMANCE; DRAGON;
D O I
10.3390/pr12091940
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Over the past three decades, the development and testing of various overtopping wave energy converters (OWECs) have highlighted the importance of accurate wave run-up and overtopping predictions on those devices. This study systematically reviews the empirical formulas traditionally used for predicting overtopping across different types of breakwaters by assessing their strengths, limitations, and applicability to OWECs. This provides a foundation for future research and development in OWECs. Key findings reveal that empirical formulas for conventional breakwaters can be categorized as mild or steep slopes and vertical structures based on the angle of the slope. For the same relative crest freeboards, the dimensionless average overtopping discharge of mild slopes is larger than that of vertical structures. However, the formula features predictions within a similar range for small relative crest freeboards. The empirical formulas for predicting overtopping in fixed and floating OWECs are modified from the predictors developed for conventional breakwaters with smooth, impermeable and linear slopes. Different correction coefficients are introduced to account for the effects of limited draft, inclination angle, and low relative freeboard. The empirical models for floating OWECs, particularly the Wave Dragon model, have been refined through prototype testing to account for the unique 3D structural reflector's influence and dynamic wave interactions.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] On the Effects of Geometry Control on the Performance of Overtopping Wave Energy Converters
    Victor, Lander
    Troch, Peter
    Kofoed, Jens Peter
    ENERGIES, 2011, 4 (10): : 1574 - 1599
  • [2] Optimizing Wave Overtopping Energy Converters by ANN Modelling: Evaluating the Overtopping Rate Forecasting as the First Step
    Oliver, Jose Manuel
    Esteban, Maria Dolores
    Lopez-Gutierrez, Jose-Santos
    Negro, Vicente
    Neves, Maria Graca
    SUSTAINABILITY, 2021, 13 (03) : 1 - 25
  • [3] An approximate solution for the wave energy shadow in the lee of an array of overtopping type wave energy converters
    Monk, Kieran
    Zou, Qingping
    Conley, Daniel
    COASTAL ENGINEERING, 2013, 73 : 115 - 132
  • [4] Wave runup and overtopping: A review and recommendations
    Gadd, P.E.
    Potter, R.E.
    Safaie, B.
    Resio, D.
    Proceedings of the Annual Offshore Technology Conference, 1984, 1984-May : 239 - 248
  • [5] A numerical investigation of irregular wave overtopping on a 2D fixed overtopping wave energy converter
    Cao, Deping
    Zeng, Hanqi
    He, Jie
    Liang, Hui
    Yang, Zhengtong
    Ancha, Venkata Ramaya
    Chen, Hao
    ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2025, 19 (01)
  • [6] HYDRODYNAMIC BEHAVIOR OF OVERTOPPING WAVE ENERGY CONVERTERS BUILT IN SEA DEFENSE STRUCTURES
    Victor, Lander
    Kofoed, Jens Peter
    Troch, Peter
    PROCEEDINGS OF THE ASME 29TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING 2010, VOL 3, 2010, : 405 - 414
  • [7] A comparison of empirical, semiempirical, and numerical wave overtopping models
    Reis, Maria Teresa
    Hu, Keming
    Hedges, Terry S.
    Mase, Hajime
    JOURNAL OF COASTAL RESEARCH, 2008, 24 (2B) : 250 - 262
  • [8] Wave overtopping predictions using an advanced machine learning technique
    den Bieman, Joost P.
    van Gent, Marcel R. A.
    van den Boogaard, Henk F. P.
    COASTAL ENGINEERING, 2021, 166
  • [9] Predictions of Wave Overtopping Using Deep Learning Neural Networks
    Tsai, Yu-Ting
    Tsai, Ching-Piao
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (10)
  • [10] Accounting for random wave run-up in overtopping predictions
    Hedges, TS
    Reis, MT
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MARITIME ENGINEERING, 2004, 157 (03) : 113 - 122