FAST.Farm is a mid‐fidelity engineering tool developed by the National Renewable Energy Laboratory targeted at accurately and efficiently predicting wind turbine power production and structural loading in wind farm settings, including wake interactions between turbines. FAST.Farm is based on several principles of the dynamic wake meandering (DWM) model, but also addresses limitations of previous DWM implementations. Previous FAST.Farm studies have shown the similarities and differences between FAST.Farm and large eddy simulations for rigid turbine cases. The objective of this work is to quantify the ability of FAST.Farm to accurately predict turbine structural response in a small wind farm. This is done by comparing FAST.Farm structural response to SOWFA‐OpenFAST results for three laterally‐aligned turbines. The purpose of this study is to characterize the similarities and differences between FAST.Farm and a higher fidelity model for predicting turbine structural response in a wind farm for differing atmospheric inflows. Strong statistical agreement was found between FAST.Farm and SOWFA‐OpenFAST structural response for the non‐waked upstream turbine, and good agreement was found for the downstream turbines for most structural quantities. Higher differences were seen for downstream turbines with low ambient turbulence intensity or yawed turbines, suggesting areas for FAST.Farm wake dynamics modeling improvements. For all cases and turbines, small statistical differences were seen between blade deflections and bending moments, with larger differences for tower‐top and tower‐base bending moments. Overall, the results establish confidence for applying FAST.Farm to wind farm power and loads analyses and identify areas where further model validations and model improvements should be targeted.

中文翻译：

---

FAST。针对大型涡流模拟的农场开发和结构载荷预测的验证

FAST.Farm是由美国国家可再生能源实验室开发的中等保真度工程工具，旨在准确有效地预测风力发电场中的风力发电量和结构负荷，包括涡轮之间的尾流相互作用。FAST.Farm基于动态唤醒蜿蜒（DWM）模型的若干原理，但也解决了以前DWM实现的局限性。以前的FAST.Farm研究已经显示了FAST.Farm和大型涡流模拟在刚性涡轮机壳中的异同。这项工作的目的是量化FAST.Farm在小型风力发电场中准确预测涡轮机结构响应的能力。这是通过比较FAST。三个横向对齐的涡轮机的农场结构响应对SOWFA-OpenFAST结果得出的。这项研究的目的是表征FAST.Farm和一个高保真度模型之间的异同，该模型用于预测风电场中针对不同大气流入量的涡轮机结构响应。FAST.Farm和SOWFA-OpenFAST在非苏醒的上游涡轮机之间发现了强有力的统计一致性，并且对于大多数结构量的下游涡轮机都发现了良好的一致性。低环境湍流强度的下游涡轮机或偏航涡轮机之间的差异更大，这为FAST领域提供了建议。对于所有情况和涡轮机，叶片挠度和弯矩之间的统计差异很小，而塔顶和塔基弯矩之间的差异较大。全面的，