Abstract

The planning and realization of wind energy projects requires an as accurate and precise wind resource estimation as possible. Standard procedures combine shorter on-site measurements with the application of numerical models. The uncertainties of the numerical data generated from these models are, particularly in complex onshore terrain, not just rather high but typically not well quantified. In this article we propose a methodology for using a single scanning Doppler wind lidar device to calibrate the output data of a numerical flow model and with this not just quantify but potentially also reduce the uncertainties of the final wind resource estimate. The scanning lidar is configured to perform Plan Position Indicator (PPI) scans and the numerical flow data are projected onto this geometry. Deviations of the derived from the recorded line-of-sight wind speeds are used to identify deficiencies of the model and as starting point for an improvement and tuning. The developed methodology is demonstrated based on a study for a site in moderately complex terrain in central Germany and using two rather different types of numerical flow models. The findings suggest that the use of the methodology and the introduced scanning wind lidar technology offers a promising opportunity to control the uncertainty of the applied flow models, which can otherwise only be estimated very roughly.

Highlights

  • An as accurate and precise as possible estimation of the wind resource, and the calculation of the prospective energy yield based on it, are important prerequisites for the successful design of a wind farm

  • We show how a single additional scanning lidar device can be used to calibrate the output data of a numerical flow model and with this potentially reduce the uncertainties of the final wind resource estimate

  • In Section 2.2.1 we describe the site under investigation, in Section 2.2.2 the used measurement technologies and the measurements carried out, and in Section 2.2.3 the applied flow modelling with the two Computational Fluid Dynamics (CFD) models run for the site

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Summary

Introduction

An as accurate and precise as possible estimation of the wind resource, and the calculation of the prospective energy yield based on it, are important prerequisites for the successful design of a wind farm. The overall uncertainty can be reduced by improving the measurement, which can be realized by selecting the most accurate measurement technology or by performing measurements that cover the future wind turbine (WT) sites as accurately as possible With the latter it is not just referred to the measurement height, which should be at least the hub height of the turbines—getting higher and higher, especially in complex terrain—and in the best case the entire vertical extent of the rotor, and the horizontal positions in the terrain. We show how a single additional scanning lidar device can be used to calibrate the output data of a numerical flow model and with this potentially reduce the uncertainties of the final wind resource estimate.

Methodology
On-Site Measurements
Calibration of Numerical Flow Data
Demonstration Study
Description of Site
Used Measurements
Results
Data Coverage
Limitations and Challenges to the Introduced Methodology
Application within WRA Study
Conclusions
MEASNET
Full Text
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