Instrument Specification, Placement, Installation and Verification
Different projects require different instrument and tower types. Wind measurement campaigns often consist of tall towers instrumented with redundant anemometers and direction vanes at several heights, along with temperature and other sensors. Remote sensing instruments such as sodar and lidar can by deployed to provide data at additional locations and to reach heights to the top of the turbine rotor. Whatever the context, UL adheres to strict instrumentation standards, resulting in high accuracy and data recovery.
Smart instrument placement aims to minimize the uncertainty in the expected energy production of the project. Placing monitoring towers and remote sensing instruments at locations spanning the full range of wind resources likely to be encountered by the turbines is key. UL’s experienced engineers and meteorologists can help site your equipment to meet this goal. We design the optimal monitoring campaign, and quantify the reduction in uncertainty from placing towers in designated locations.
Our field engineers will install or oversee the installation of towers and remote sensing systems. We will also visit existing wind monitoring stations and verify the instrument location, height, orientation, and surroundings to the exacting standards required for bankable energy production reports.
Wind Data Management Dashboard
Our Wind Data Management Dashboard is a web platform that allows you to monitor and access your meteorological data securely and conveniently. UL manages and monitors your tower data, ensuring high confidence in the quality and integrity of the data collected. Whether you have one tower or a fleet of towers, you can view and retrieve:
- Statistics (mean speed, data recovery, shear, turbulence intensity, and temperature)
- Plots (hourly and daily average wind speed, speed frequency distribution, wind rose)
- Downloadable reports
- Site commissioning forms and photographs
- Instrument history, status, and faults
- Raw and complied data
- Quality-controlled data