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作 者:Bin-zhen Zhou Yu Wang Jian-jian Hu Peng Jin Lei Wang
机构地区:[1]School of Civil Engineering and Transportation,South China University of Technology,Guangzhou,510641,China [2]School of Marine Science and Engineering,South China University of Technology,Guangzhou,511442,China
出 处:《Journal of Hydrodynamics》2023年第1期145-154,共10页水动力学研究与进展B辑(英文版)
基 金:supported by the National Natural Science Foundation of China(Grant Nos.52071096,52201322 and 52222109);This work was supported by the Guangdong Basic and Applied Basic Research Foundation(Grant No.2022B1515020036);the Natural Science Foundation of Guangzhou City(Grant No.202201010055);the Fundamental Research Funds for the Central Universities(Grant No.2022ZYGXZR014).
摘 要:As waves in China seas are not high,a wave energy converter consisting of a coaxial annular buoy and a cylindrical buoy that extracts wave energy using two generators through the relative heave motion between the buoys and the pitch motion of the cylinder could be a more efficient choice.A dynamic model considering constraints and assuming linear power take-off is established to evaluate the power performance of the device.The influences of two key factors,the diameter of the annular buoy and the power take-off stiffness of the pitching generator,and their couplings on the power performance are analyzed.The power of the pitching generator accounts for a major proportion of the total power.An increase in the annular buoy diameter increases the power of the heaving generator while greatly decreases the power of the pitching generator.An increase in the power take-off stiffness of the pitching generator greatly decreases its power while has little influence on the power of the heaving generator.These two factors also influence the peak period of the total power.Based on the findings and practical limitations,an optimization strategy is proposed.Further,the device is optimized based on a real wave environment in Shandong Province,China.
关 键 词:Wave energy converter(WEC) two degrees of freedom(DOF) parametric study power optimization real wave environment
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