Wind Farm Layout Optimization with a Novel Gaussian Wake Model

2019 ◽  
Author(s):  
Siyu Tao ◽  
Qingshan Xu ◽  
Changcheng Zhou ◽  
Jiemin Zhou ◽  
Gang Zheng
Keyword(s):  
Wind Farm ◽  
Layout Optimization ◽  
Wind Farm Layout ◽  
Wind Farm Layout Optimization ◽  
Wake Model

A Comparative Study of the Influence of Different Wake Models on Wind Farm Layout Optimization

2021 ◽  
Author(s):  
Puyi Yang ◽  
Hamidreza Najafi
Keyword(s):  
Wind Farm ◽  
Wind Farms ◽  
Vital Role ◽  
Layout Optimization ◽  
Zone Model ◽  
Wind Farm Layout ◽  
Yaw Control ◽  
Wind Farm Layout Optimization ◽  
Wake Model ◽  
Large Wind

Abstract The accuracy of analytical wake models applied in wind farm layout optimization (WFLO) problems plays a vital role in the present era that the high-fidelity methods such as LES and RANS are still not able to handle an optimization problem for large wind farms. Based on a verity of analytical wake models developed in the past decades, FLOw Redirection and Induction in Steady State (FLORIS) has been published as a tool integrated several widely used wake models and the expansions for them. This paper compares four wake models selected from FLORIS by applying three classical WFLO scenarios. The results illustrate that the Jensen wake model is the fastest one but the defect of underestimation of velocity deficit is obvious. The Multi Zone model needs to be applied additional tunning on the parameters inside the model to fit specific wind turbines. The Gaussian-Curl wake model as an advanced expansion of the Gaussian wake model does not perform an observable improvement in the current study that the yaw control is not included. The default Gaussian wake model is recommended to be used in the WFLO projects which implemented under the FLROIS framework and has similar wind conditions with the present work.

Wind farm layout optimization with a three-dimensional Gaussian wake model

2020 ◽  
Vol 159 ◽  
pp. 553-569 ◽  
Author(s):  
Siyu Tao ◽  
Qingshan Xu ◽  
Andrés Feijóo ◽  
Gang Zheng ◽  
Jiemin Zhou
Keyword(s):  
Wind Farm ◽  
Three Dimensional ◽  
Layout Optimization ◽  
Wind Farm Layout ◽  
Wind Farm Layout Optimization ◽  
Wake Model

The Effect of Using Different Wake Models on Wind Farm Layout Optimization: A Comparative Study

2021 ◽  
pp. 1-28
Author(s):  
Puyi Yang ◽  
Hamidreza Najafi
Keyword(s):  
Wind Farm ◽  
Wind Farms ◽  
Layout Optimization ◽  
Navier Stokes ◽  
Zone Model ◽  
Wind Farm Layout ◽  
Yaw Control ◽  
Eddy Simulation ◽  
Wind Farm Layout Optimization ◽  
Wake Model

Abstract The accuracy of analytical wake models applied in wind farm layout optimization (WFLO) problems is of great significance as the high-fidelity methods such as large eddy simulation (LES) and Reynolds-averaged Navier-Stokes (RANS) are still not able to handle an optimization problem for large wind farms. Based on a variety of analytical wake models developed in the past decades, Flow Redirection and Induction in Steady State (FLORIS) have been published as a tool that integrated several widely used wake models and their expansions. This paper compares four wake models selected from FLORIS by applying three classical WFLO scenarios. The results illustrate that the Jensen wake model is the fastest, but the issue of underestimating the velocity deficit is obvious. The Multi-zone model needs additional tuning on the parameters inside the model to fit specific wind turbines. The Gaussian-curl hybrid (GCH) wake model, as an advanced expansion of the Gaussian wake model, does not perform an observable improvement in the current study, where the yaw control is not included. The Gaussian wake model is recommended for the WFLO projects implemented under the FLROIS framework and has similar wind conditions with the present work.

Wind farm layout optimization using a Gaussian-based wake model

2017 ◽  
Vol 107 ◽  
pp. 531-541 ◽  
Author(s):  
Leandro Parada ◽  
Carlos Herrera ◽  
Paulo Flores ◽  
Victor Parada
Keyword(s):  
Wind Farm ◽  
Layout Optimization ◽  
Wind Farm Layout ◽  
Wind Farm Layout Optimization ◽  
Wake Model

scholarly journals Comparisons of the accuracy of different wake models in wind farm layout optimization

2020 ◽  
Vol 38 (5) ◽  
pp. 1725-1741 ◽  
Author(s):  
Xiaoxia Gao ◽  
Yue Li ◽  
Fei Zhao ◽  
Haiying Sun
Keyword(s):  
Power Generation ◽  
Wind Farm ◽  
Layout Optimization ◽  
Wind Condition ◽  
Wind Farm Layout ◽  
Wind Farm Layout Optimization ◽  
Cost Of Energy ◽  
Generation Cost ◽  
Wake Model ◽  
Population Genetic Algorithm

Accurate wake model in wind farm layout optimization can help extracting maximum power generation, minimizing cost of energy and prolonging wind turbines’ lifetime as well. With the development of different wake models, the wind farm layout optimization results based on the models should be updated. This paper investigates the performances of four wake models in wind farm layout optimization using multi-population genetic algorithm (MPGA) with the wind farm power generation, COST/AEP and wind farm efficiency been reported. Comparison of results between typical wake models’ performance shows that Jensen’s wake model reported a higher wind farm power generation and efficiency because it underestimates the velocity deficit in the wake, and to the contrary, in the Frandsen wake model, the velocity in the wake is underestimated, resulting in a deceased power generation. The expression of 2D_k model shall be out of work in complicated wind condition. The 2D Jensen–Gaussian wake model performed better in the wind farm layout optimization using the MPGA program which can be promoted in real-world wind farm micrositing.

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