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Updated: Jan 21, 2026
09:55
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
9.2K
A large volume wind data for renewable energy applications
1Department of Electrical and Electronics Engineering, Anna University, Chennai, 600025, India.
Data in Brief
|August 14, 2019
Summary
This study analyzed wind energy potential using wind speed and direction data from 2014-2016. Maximum wind power density was found at specific sites, influenced by altitude and site geomorphology.
Area of Science:
- Renewable Energy
- Meteorology
- Environmental Science
Background:
- Assessing wind energy potential is crucial for sustainable power generation.
- Understanding wind characteristics informs site selection for wind turbines.
- Previous studies highlight the impact of local factors on wind energy.
Purpose of the Study:
- To calculate wind energy potential in a selected location.
- To analyze wind energy characteristics using a large dataset.
- To identify suitable sites for wind turbine installation.
Main Methods:
- Collected wind energy potential data at 100 m height from Mean Sea Level (MSL) between 2014 and 2016.
- Analyzed wind speed and direction to understand wind energy characteristics.
- Evaluated the influence of altitude and geomorphology on wind power density.
Main Results:
- Identified maximum wind power density at monitoring sites S1, S2, S3, and S4.
- Confirmed that altitude of monitoring stations significantly controls wind power density.
- Demonstrated that the geomorphology of the site is a significant factor in wind power density.
Conclusions:
- The study successfully calculated wind energy potential and identified key influencing factors.
- Specific sites (S1-S4) show high potential for wind energy generation.
- Altitude and geomorphology are critical considerations for optimizing wind turbine placement and energy capture.
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