原文信息：
Wind Farm Layout Optimization (WindFLO): An advanced framework for fast wind farm analysis and optimization
原文連結：
https://www.sciencedirect.com/science/article/pii/S0306261920306024
Highlights
A parallel framework for wind farm optimization is developed using six wake models.
Framework accounts for terrain elevation and wake-terrain interaction.
Four turbine specific cost models are developed.
Wind farm area model is developed as the area of convex hull.
Optimization of a realistic wind farm is performed for maximum power generation
此研究開發了WindFLO框架來加速風電場的設計。該框架考慮了地貌起伏和環境風速。WindFLO模型經風洞實驗數據校驗相對誤差低於1%。同時作者也開發了一個基於250個不同風力發電機的與渦輪轉子直徑和高度相關的成本模型。另外還用凸包發放開發了一個土地使用模型。該框架被用來優化了一個風電場的布局以最大化全年發電量。作者用了單目標混合優化器來解該非線性優化問題。通過對風電場布局以及渦輪（轉子直徑和塔高）的優化，該模型提高了全年發電量，降低了成本並減少了土地使用面積。此外，作者將WindFLO開源以促進風電場優化的d研究進展。
Abstract
A new framework for Wind Farm Layout Optimization (WindFLO) is developed to accelerate the design of wind farms. The framework provides a large set of analytical wake models and wake superposition schemes. It is able to take into account terrain elevation and the ambient wind velocity profile. The schemes in the WindFLO model were validated against experimental data from a wind tunnel to within 1% relative error. A turbine rotor diameter and height dependent cost model was also developed using data from 250 different wind turbines. A land usage model was also developed using the convex hull approach. The framework was used to optimize a windfarm layout for maximum annual energy production using real wind farm terrain and conditions. The nonlinear optimization problem was solved using a robust Single-Objective Hybrid Optimizer. The wind farm layout and wind turbine (rotor diameter and tower height) were optimized and resulted in increased annual energy production, reduced cost, and reduced land usage. The WindFLO framework is made publicly available to accelerate and advance the techniques for wind farm optimization.
Keywords：
Wind farm layout optimization
Turbine
Wind energy
Wake model
Wind farm modeling
Fig. 1. Parameters in: (a) a standalone wind turbine and (b) wind turbine on a terrain.
Fig. 9. (a) Experimental power curve of the turbines and (b) computed turbine coefficients
Fig. 11. Power generation of the optimized wind farm layout for Case 1 using: (a) Frandsen’s model and (b) BP model; Case 2 using: (c) Frandsen’s model and (d) BPmodel.
編輯：張宇；校對：劉惠。
《Applied Energy》是世界能源領域著名學術期刊，在全球出版巨頭愛思唯爾 (Elsevier) 旗下，1975 年創刊，影響因子8.848，CiteScore 16.4，高被引論文ESI全球工程期刊排名第4，谷歌學術全球學術期刊第61，本刊旨在為清潔能源轉換技術、能源過程和系統優化、能源效率、智慧能源、環境汙染物及溫室氣體減排、能源與其他學科交叉融合、以及能源可持續發展等領域提供交流分享和合作的平臺。