Performance and wake prediction of a ducted tidal stream turbine in yaw misalignment using the lattice Boltzmann method

IF 10.9 1区 工程技术 Q1 ENERGY & FUELS
Minwei Yin , Renwei Ji , Renqing Zhu , Sheng Xu , Ke Sun , Jianhua Zhang , Yuquan Zhang , Ratthakrit Reabroy
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引用次数: 0

Abstract

Ducts can enhance the energy capture efficiency of tidal stream turbines (TSTs) in low-current velocity environments of deep seas. However, complex marine environments (e.g., seabed topography and waves) alter the water flow direction, causing the TST to operate in a yawed state. To address this issue, this paper employs a combination of the lattice Boltzmann method (LBM) and large eddy simulation (LES) to investigate the hydrodynamic performance and wake characteristics of short-tube ducted TSTs in yaw misalignment ranging from 0° to 45°. The study first evaluates TST performance through experiments in a water flume. Subsequently, an LBM-LES-based numerical model for TSTs is developed to calculate the power characteristics and compare them with experimental results, verifying the method’s accuracy. Finally, numerical simulations are conducted for both open and ducted TSTs under yaw conditions. The results indicate that: (1) The LBM-LES coupling method accurately captures flow field characteristics such as tip vortices and wake evolution, with simulation results showing strong agreement with experiments. This method serves as a high-precision tool for evaluating TST performance. (2) The duct improves the energy capture efficiency of the TST across the entire tip speed ratio range by accelerating the flow through the channel. It also mitigates the decline of the power coefficient and thrust coefficient in yaw misalignment. (3) The decay of hydrodynamic coefficients for open TSTs in yaw misalignment follows the cosine theory, whereas the decay for ducted TSTs is slower due to flow field modulation and requires correction using a low-exponent model. (4) The upstream side of TST blades exhibits both positive and negative pressures while the downstream side is dominated by negative pressure, with differences among blades at varying position angles. (5) The wake of the ducted TST exhibits an initial reverse deflection followed by realignment, with a smaller amplitude of wake center offset compared to the open TST. Additionally, the turbulent energy across all frequency bands is higher than that of open TSTs. The induced complex vortex system delays wake vortex dissipation and enhances flow field stability. The research results provide key parameters and yaw performance correction models for ducted TSTs in low-current velocity environments, laying a theoretical foundation for the efficient and stable operation of tidal stream energy devices in complex flow fields.
用晶格玻尔兹曼方法预测导管式潮汐水轮机偏航失调性能及尾迹
管道可以提高潮汐流涡轮机在深海低流速环境下的能量捕获效率。然而,复杂的海洋环境(如海底地形和海浪)改变了水流方向,导致TST处于偏航状态。为了解决这一问题,本文采用晶格玻尔兹曼方法(LBM)和大涡模拟(LES)相结合的方法,研究了0°~ 45°偏航偏差范围内短管导管TSTs的水动力性能和尾迹特性。该研究首先通过水槽试验评估了TST的性能。随后,建立了基于lbm - les的TSTs数值模型,计算了TSTs的功率特性,并与实验结果进行了比较,验证了该方法的准确性。最后,对横摆条件下的开式和导管式测试系统进行了数值模拟。结果表明:(1)LBM-LES耦合方法能准确捕捉叶顶涡和尾迹演化等流场特征,仿真结果与实验结果吻合较好。该方法可作为评价TST性能的高精度工具。(2)导管通过加速流过通道的气流,提高了TST在整个叶尖速比范围内的能量捕获效率。它还可以缓解偏航失调时功率系数和推力系数的下降。(3)在偏航失调情况下,开放式TSTs的水动力系数衰减遵循余弦理论,而导管式TSTs由于流场调制而衰减较慢,需要使用低指数模型进行校正。(4) TST叶片上游侧既有正压也有负压,下游侧以负压为主,不同位置角度叶片间存在差异。(5)导管式TST的尾迹表现为最初的反向偏转,然后重新调整,尾迹中心偏移幅度小于开放式TST。此外,各频段的湍流能量均高于开放tst。诱导复杂涡系统延缓了尾流涡耗散,提高了流场稳定性。研究结果提供了导管式TSTs在低流速环境下的关键参数和偏航性能修正模型,为复杂流场中潮汐流能装置的高效稳定运行奠定了理论基础。
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来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
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