Computational fluid dynamics approach to predict the actualwind speed over complex terrain

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper proposes a procedure for predicting the actual wind speed for flow over complex terrain with CFD. It converts a time-series of wind speed data acquired from field observations into a time-series data of actual scalar wind speed by using non-dimensional wind speed parameters, which are determined beforehand with the use of CFD output. The accuracy and reproducibility of the prediction procedure were investigated by simulating the flow with CFD with the use of high spatial resolution (5 m) surface elevation data for the Noma Wind Park in Kagoshima Prefecture, Japan. The errors of the predicted average monthly wind speeds relative to the observed values were less than approximately 20%.

Original languageEnglish
Article number1694
JournalEnergies
Volume11
Issue number7
DOIs
Publication statusPublished - Jan 1 2018

Fingerprint

Wind Speed
Computational Fluid Dynamics
Computational fluid dynamics
Predict
Time series
Reproducibility
Time Series Data
Japan
Spatial Resolution
Convert
High Resolution
Scalar
Prediction
Output

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Computational fluid dynamics approach to predict the actualwind speed over complex terrain. / Uchida, Takanori.

In: Energies, Vol. 11, No. 7, 1694, 01.01.2018.

Research output: Contribution to journalArticle

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