Wind Resource
Assesment
Tailored Solutions for Every Climate and Terrain.
OVERVIEW
Wind Resource Assessment (WRA) is essential for evaluating the wind potential at prospective wind farm locations. This process involves collecting wind data over several years using advanced tools like met towers and Lidar to monitor various meteorological parameters.
Developers use this data to predict the power output for different wind farm sizes and turbine configurations, aiding in the optimal design of the wind farm layout, securing financing, and making informed project decisions.
Our company offers tailored wind resource assessment systems and instruments that integrate seamlessly and adapt to diverse climates, terrains, and applications, ensuring precise and reliable data collection.
Accurate Energy Predictions
Our comprehensive wind data collection enables precise estimation of potential power output, helping developers make informed decisions.
Optimized Wind Farm Layouts
By analyzing detailed wind data, we assist in designing efficient wind farm layouts, maximizing energy production and project efficiency.
Versatile Solutions
Our systems and instruments are adaptable to various climates and terrains, ensuring reliable performance in any environment.
Products
Our Comprehensive Solution
We conduct high-fidelity and reliable wind potential measurements. Our process for selecting wind speed measurement locations follows the latest Measnet guidelines for local wind condition assessment.
Each met mast installation is carried out by our qualified and experienced team in accordance with the IEC-61400-12-1:2017 standard. Our laboratory is accredited by ESYD under ISO-17025/2005, with a focus on accurate wind speed and direction measurements.
We work closely with clients to choose the best locations for wind speed measurements, ensuring compliance with the latest Measnet instructions. Daily checks on met masts ensure the correct operation of instruments, with particular attention to comparing the main anemometer's measurements with those of a control anemometer through in-situ comparisons. Our custom-developed Python code ensures repeatability in these comparisons.
Our experienced team uses specialized software to detect any data anomalies, such as frozen sensors, damage, or lightning interference, based on the area's weather conditions, ensuring the highest data integrity.