Whether onshore or offshore, wind farms hold immense promise as renewable energy sources. However, to unlock this potential, accurate wind resource assessments during the development phase are crucial. That’s why careful planning and preparation are vital before these farms can take shape.
Evaluating a site for a wind farm requires a thorough feasibility study to assess its potential for harnessing wind energy effectively for electricity generation. Part of this process involves installing meteorological masts, also known as ‘met’ masts. These masts gather crucial data by monitoring wind and weather conditions at different heights above the ground. This data is vital for wind farm developers to accurately determine wind speeds, direction, and other weather parameters at the site, which can be challenging to predict. Wind data sets, recorded over a year or two, are essential for these projects to reliably estimate the expected energy output.
Met masts key to planning Northern Tablelands Wind Farm
In planning for a proposed Northern Tablelands Wind Farm site in regional NSW, we recently installed two meteorological masts to assess the site’s wind potential. This project site spans 7,586 hectares across the Warrane property, located 18 km northwest of Armidale within the NSW New England Renewable Energy Zone, with the site boasting a high-quality wind resource — and offering several grid connection options — making it very appealing for a wind energy development.
Each of the meteorological masts installed at Warrane stand at 110 meters tall and are spaced 3.5 kilometres apart. These lattice structures are strategically positioned to collect data from the site, ensuring thorough assessment of wind and other weather conditions across the entire potential wind farm area. Equipped with instruments at different heights, they gather comprehensive data crucial for understanding wind patterns and variability.
Monitoring wind at different heights gives us a wind profile that helps estimate wind speeds higher than those measured directly at the mast. Monitoring wind direction is equally crucial as it guides turbine placement and spacing across the project area.
Wind turbine manufacturers can develop different models and classes suited to different weather conditions. In areas with lower wind speeds, turbines have larger blades to capture maximum energy across the aerodynamic surface. Conversely, sites with higher wind-speeds typically require smaller blades for greater efficiency in harnessing strong, steady winds. Therefore, the data collected from the met masts guides the selection of turbines and blades best suited to the site’s wind characteristics.
Met masts are kept in place for at least 18 months, sometimes up to 60 months, to collect solid data, reduce uncertainties, ensure project feasibility, and account for weather, seasonal changes, and maintenance. However, they’re not the sole method used for wind resource assessment. We’re also employing Lidar technology – an optical wind measurement technique. Lidar, short for ‘light detection and ranging,’ uses laser pulses to remotely detect wind conditions, offering broader coverage and flexibility compared to fixed met masts. Unlike met masts, Lidar units are portable and can be moved around the project area to gather data, which helps even more in figuring out the overall feasibility of the project.
Each method – Lidar and met masts – can be used in tandem to provide a comprehensive understanding of the wind conditions at a wind farm site. Given the substantial investment required for wind-energy projects, how we measure wind resources can significantly impact the success of these projects. Combining modern tools like Lidar with traditional meteorological masts ensures we get a thorough and accurate assessment. This approach not only boosts energy production by developing a wind farm suited to specific weather and site conditions, but also makes renewable energy investments more sustainable and reliable in the long run.
Did you know? Meteorological masts aren’t just for wind farms. They’re also key at airports and for general weather forecasting, climate research, and studying tough-to-reach places. They give us crucial data that helps make flights safer, improves weather predictions, and supports all sorts of meteorological work.
