Review of tidal characteristics of Uldolmok Strait and optimal design of blade shape for horizontal axis tidal current turbines

被引:11
作者
Seo, Jihye [1 ]
Yi, Jin-Hak [1 ]
Park, Jin-Soon [1 ]
Lee, Kwang-Soo [1 ]
机构
[1] KIOST, Coastal & Ocean Engn Div, 385 Haeyang Ro, Busan, South Korea
关键词
Uldolmok strait; Blade element momentum theory; Genetic algorithm; HARP_Opt; Horizontal axis tidal current turbine; Optimal design of blade shape; GENETIC ALGORITHM;
D O I
10.1016/j.rser.2019.109273
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ocean energy is a promising renewable energy resource. In particular, South Korea is a country with a large amount of tidal current energy needed for the economically and technically feasible development of a tidal current power plant. In this study, the environmental conditions including the bathymetry and tidal conditions for Uldolmok Strait and previous studies carried out in Uldolmok Strait are first briefly reviewed, and the optimal design of the blade shape and performance of an optimally designed horizontal axis rotor for a 200-kW class tidal current turbine are discussed. For the optimal blade shape design, the design code, the Horizontal Axis Rotor Performance Optimizer developed by the National Renewable Energy Laboratory in the United States, is utilized, and the performance is investigated with respect to the number of blades (two or three) and the pitch control algorithms (variable or fixed). The results indicate that a variable speed fixed pitch turbine with three blades showed the best performance. However, the performances of four alternative cases did not show significant differences. Considering the advantages in terms of maintenance, we also conducted an analysis under various rotor and cut-in speed conditions. Hence, to select the final design, it is necessary to consider the structural integrity related to fatigue, as well as the economic feasibility in manufacturing the blades.
引用
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页数:14
相关论文
共 44 条
[1]  
[Anonymous], 2012, J SHIPPING OCEAN ENG
[2]   Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data [J].
Au, FTK ;
Cheng, YS ;
Tham, LG ;
Bai, ZZ .
JOURNAL OF SOUND AND VIBRATION, 2003, 259 (05) :1081-1094
[3]  
Bir GS, 2011, P 30 INT C OC OFFSH
[4]  
Buhl M., 2004, WT_Perf User's Guide
[5]  
Choi Se-Hyu, 2008, [Journal of The Korea Institute for Structural Maintenance and Inspection, 한국구조물진단유지관리공학회 논문집], V12, P161
[6]   Genetic algorithm in structural damage detection [J].
Chou, JH ;
Ghaboussi, J .
COMPUTERS & STRUCTURES, 2001, 79 (14) :1335-1353
[7]   Power-tracking control for cross-flow turbines [J].
Forbush, Dominic ;
Cavagnaro, Robert J. ;
Polagye, Brian .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2019, 11 (01)
[8]  
Fuglsang P, 1998, 1041EN FORSKN RIS DE
[9]  
Glauert H., 1935, Aerodynamic Theory, VIV, P169
[10]  
Goldber D. E., 1988, Machine Learning, V3, P95, DOI 10.1023/A:1022602019183