Wind Speed Estimation based on Power Law Extrapolation Technique

When considering deploying a wind farm the evaluation of the wind potential is of great significance, as it allows the selection of the optimum site and wind turbine. This implies the accurate knowledge of the wind speed profiles, both temporal and with height. Although on-site measurement is the most reliable technique for evaluating the wind speed profiles, estimation techniques are also developed. Consequently, this study aims to investigate the efficiency of the Power Law extrapolation technique for estimating the wind speed profiles at various heights, and the obtained profiles of the wind speed will be validated by using real data, measured with a LIDAR ground remote sensor.

Authors

Institutions

Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/epei63510.2024.10758142
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wind Speed Estimation based on Power Law Extrapolation Technique

Răzvan Beniugă, Dragoş Machidon, Marcel Istrate
Energy Load and Power Forecasting
article

Wind Speed Estimation based on Power Law Extrapolation Technique

Răzvan Beniugă, Dragoş Machidon, Marcel Istrate
article en

Abstract

When considering deploying a wind farm the evaluation of the wind potential is of great significance, as it allows the selection of the optimum site and wind turbine. This implies the accurate knowledge of the wind speed profiles, both temporal and with height. Although on-site measurement is the most reliable technique for evaluating the wind speed profiles, estimation techniques are also developed. Consequently, this study aims to investigate the efficiency of the Power Law extrapolation technique for estimating the wind speed profiles at various heights, and the obtained profiles of the wind speed will be validated by using real data, measured with a LIDAR ground remote sensor.

Gheorghe Asachi Technical University of Iași (RO)
Affordable and clean energy
Openalex Percentile: Top 81%
Energy Load and Power Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.