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JournalISSN: 0167-6105

Journal of Wind Engineering and Industrial Aerodynamics 

About: Journal of Wind Engineering and Industrial Aerodynamics is an academic journal. The journal publishes majorly in the area(s): Wind tunnel & Wind speed. It has an ISSN identifier of 0167-6105. Over the lifetime, 5759 publication(s) have been published receiving 152672 citation(s).


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Journal ArticleDOI
Abstract: Significant improvements of computer facilities and computational fluid dynamics (CFD) software in recent years have enabled prediction and assessment of the pedestrian wind environment around buildings in the design stage. Therefore, guidelines are required that summarize important points in using the CFD technique for this purpose. This paper describes guidelines proposed by the Working Group of the Architectural Institute of Japan (AIJ). The feature of these guidelines is that they are based on cross-comparison between CFD predictions, wind tunnel test results and field measurements for seven test cases used to investigate the influence of many kinds of computational conditions for various flow fields.

1,274 citations

Journal ArticleDOI
Abstract: In computational models of wind engineering problems within the atmospheric surface layer the approach flow should normally be modelled as a homogeneous flow. Velocity and turbulence profiles associated with the k-ϵ turbulence model are proposed which produce homogeneous conditions. These equations are discussed in the light of full-scale measurements at Silsoe using sonic anemometers. It is suggested that the model constants k = 0.42, Cμ = 0.013 and σϵ = 3.22 more closely match the data obtained. It is also shown that the cospectrum for the Reynolds stress exhibits a characteristics frequency n o ≈ u ∗ / z which is consistent with the suggested profile equations.

892 citations

Journal ArticleDOI
Abstract: Three methods for calculating the parameters of the Weibull wind speed distribution for wind energy analysis are presented: the maximum likelihood method, the proposed modified maximum likelihood method, and the commonly used graphical method. The application of each method is demonstrated using a sample wind speed data set, and a comparison of the accuracy of each method is also performed. The maximum likelihood method is recommended for use with time series wind data, and the modified maximum likelihood method is recommended for use with wind data in frequency distribution format.

792 citations

Journal ArticleDOI
Abstract: In this paper a novel approach to the optimization of large windfarms is presented. The wind turbine distribution at a given site is optimized in order to extract the maximum energy for the minimum installation costs. The optimization is made by associating a windfarm simulation model based on wake superposition with a genetic search code. The purpose of the paper is to prove the feasibility of the method by analyzing the results obtained in some simple applications. As a test case, a square site subdivided into 100 square cells as possible turbine locations has been taken, and the optimization is applied to the number and position of the turbines for three wind cases: single direction, constant intensity with variable direction, and variable intensity with variable direction.

576 citations

Journal ArticleDOI
Abstract: The paper briefly outlines the known features of wind turbine wakes. A numerical model is described which can be used to calculate the wake flowfield. The effect of meteorological conditions on wake decay is examined in detail and the way in which this is included in the model is described. Comparison of experimental data with model calculations is used to draw conclusions about the wake flowfield. It is concluded that the numerical wake model can be used with confidence to calculate the wake velocity field for wind turbines over a range of sizes and in a variety of meteorological conditions. It is considered that the model is sufficiently simple and quick to use that the technique will be of considerable use in the planning and design of windfarms and of turbines for windfarm operation.

535 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202219
2021283
2020303
2019240
2018325
2017190