Vertical-axis turbine performance enhancement with physics-informed blade pitch control. Basic principles and proof of concept with high-fidelity numerical simulation

IF 1.9 4区 工程技术 Q4 ENERGY & FUELS Journal of Renewable and Sustainable Energy Pub Date : 2024-03-01 DOI:10.1063/5.0178535
Kai S. Wisner, Meilin Yu
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Abstract

In this study, we developed active physics-informed turbine blade pitch control methods to conquer the inconsistent energy harvesting efficiency challenges encountered by the vertical-axis turbines (VATs) technology. Specifically, individual turbine blades were pitched by actuators following commands from the physics-informed controllers, and the turbine performance improvements as a result of the blade pitch control mechanism and the associated flow physics were studied. The aim of the blade pitch control was to maintain constant effective angles of attack (AoAs) experienced by turbine blades through active blade pitch, and the constant AoA function was designed to facilitate control mechanism implementation into real-world VATs. To gain in-depth understanding of the capability of the control, flow physics was studied for different constant AoA control strategies across a wide range of tip speed ratios and wind speeds and was compared with that from the corresponding baselines without control, and that from the sinusoidal AoA control strategy. The comparison between the turbine performance with constant AoA control and that without control showed a consistent increase in the time-averaged net power coefficient, a measure of energy harvesting efficiency taking out of the actuator loss, ranging from 27.4% to 704.0% across a wide spread of wind speeds. The superior turbine performance with constant AoA control was largely attributed to blade dynamic stall management during the blade upstream and downstream cycles and the transition between the two cycles.
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利用物理信息叶片间距控制提高垂直轴涡轮机性能。基本原理和高保真数值模拟的概念验证
在这项研究中,我们开发了主动物理信息涡轮叶片间距控制方法,以克服垂直轴涡轮(VATs)技术遇到的能量收集效率不一致的难题。具体来说,我们根据物理信息控制器的指令,通过执行器对各个涡轮叶片进行俯仰控制,并研究了涡轮叶片俯仰控制机制和相关流动物理机制对涡轮性能的改善作用。叶片间距控制的目的是通过主动叶片间距保持涡轮叶片的有效攻角(AoAs)恒定,而恒定攻角功能的设计是为了便于将控制机制应用到实际的涡轮发电机中。为了深入了解控制能力,研究了不同恒定AoA控制策略在各种叶尖速度比和风速下的流动物理特性,并与相应的无控制基线和正弦AoA控制策略的流动物理特性进行了比较。采用恒定 AoA 控制的涡轮机性能与不采用控制的涡轮机性能之间的比较显示,时间平均净功率系数持续上升,这是在扣除推杆损耗后衡量能量收集效率的一个指标,在各种风速下的范围从 27.4% 到 704.0%。采用恒定 AoA 控制的涡轮机性能优越,这主要归功于在叶片上行和下行循环期间以及两个循环之间过渡期间的叶片动态失速管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Renewable and Sustainable Energy
Journal of Renewable and Sustainable Energy ENERGY & FUELS-ENERGY & FUELS
CiteScore
4.30
自引率
12.00%
发文量
122
审稿时长
4.2 months
期刊介绍: The Journal of Renewable and Sustainable Energy (JRSE) is an interdisciplinary, peer-reviewed journal covering all areas of renewable and sustainable energy relevant to the physical science and engineering communities. The interdisciplinary approach of the publication ensures that the editors draw from researchers worldwide in a diverse range of fields. Topics covered include: Renewable energy economics and policy Renewable energy resource assessment Solar energy: photovoltaics, solar thermal energy, solar energy for fuels Wind energy: wind farms, rotors and blades, on- and offshore wind conditions, aerodynamics, fluid dynamics Bioenergy: biofuels, biomass conversion, artificial photosynthesis Distributed energy generation: rooftop PV, distributed fuel cells, distributed wind, micro-hydrogen power generation Power distribution & systems modeling: power electronics and controls, smart grid Energy efficient buildings: smart windows, PV, wind, power management Energy conversion: flexoelectric, piezoelectric, thermoelectric, other technologies Energy storage: batteries, supercapacitors, hydrogen storage, other fuels Fuel cells: proton exchange membrane cells, solid oxide cells, hybrid fuel cells, other Marine and hydroelectric energy: dams, tides, waves, other Transportation: alternative vehicle technologies, plug-in technologies, other Geothermal energy
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