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光伏发电技术 ★ 5.0

基于LiDAR观测对运行中的抛物槽式聚光太阳能电站风况特征及其对风荷载影响的表征

Characterization of wind conditions and impact on wind loading at an operational parabolic trough concentrating solar power plant using LiDAR observations

作者 Geng Xiaa · Ulrike Egerer · Stefano Letizi · Mithu Debnath · David Jager · Scott Dan · Shashank Yellapantul
期刊 Solar Energy
出版日期 2025年1月
卷/期 第 300 卷
技术分类 光伏发电技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 First assessment of lidar-measured wind flow in an operational parabolic trough plant.
语言:

中文摘要

摘要 风荷载是影响聚光太阳能(CSP)集热器系统(包括定日镜和抛物槽)结构设计成本的主要因素。传统上,这些系统的设计依赖于风洞试验数据,而此类数据往往难以准确反映实际全尺寸条件下所经历的动态效应。本研究首次通过激光雷达(lidar)观测,对一个正在运行的抛物槽式CSP电站内部的风况进行了实验性表征。LiDAR观测为深入理解槽式集热器阵列内部区域的风流状况提供了独特的机会。我们的研究结果表明:(1)在经过前几排集热器阻挡后,由于湍流混合增强,气流继续越过槽场时,槽上方的风速恢复至来流风速的73%;(2)由于风速的恢复,位于场区内部的集热槽可能比前缘集热槽承受更高的由剪切力引起的转动弯矩。本研究的结论强调了在太阳能集热器设计过程中更深入理解风场分布及内部风荷载的重要性,并指出了未来野外试验中需要增加对内部区域荷载测量的必要性。

English Abstract

Abstract Wind loading is a major factor influencing the structural design costs of Concentrating Solar Power (CSP) collector systems, including heliostats and parabolic troughs. Traditionally, these designs have been based on wind-tunnel data, which often fail to accurately represent the dynamic effects experienced at full scale. This study presents a first-of-its-kind experimental characterization of wind conditions within an operational parabolic-trough CSP power plant focusing specifically on using lidar observations. The lidar observations give a unique opportunity to provide insights into wind flow conditions deep within the trough arrays. Our results suggest that (1) after being blocked by the first few rows, the wind speed above the troughs recovers to 73% of its inflow magnitude as it flows further over the trough field due to enhanced turbulent mixing and (2) due to the wind speed recovery, troughs in the interior field will likely experience higher shear-induced turning moments compared those at the front. The conclusions from this work stress the importance of better understanding the wind patterns and interior wind loads when designing solar collectors and highlights the need for more interior load measurements in the future field campaigns.
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SunView 深度解读

该研究揭示CSP槽式电站内部风载特性,对阳光电源光热跟踪系统设计具有重要参考价值。LiDAR观测发现阵列内部风速恢复至73%且剪切力矩增大,提示需优化内部排布的跟踪支架结构强度与控制策略。可结合iSolarCloud平台集成风速监测数据,通过预测性维护算法动态调整跟踪器防风姿态,降低结构成本同时提升系统可靠性。该方法论亦可延伸至大型地面光伏电站的支架优化设计。