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Green Cat Renewables Expands Lidar Fleet to Meet Rising Demand for Onshore Wind

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Onshore wind energy targets drive investment in modern technology and practices.

For Scotland to achieve net-zero by 2030, it is estimated that the country will need to install at least an additional 12GW of additional onshore wind, though there is ambition to exceed this. In January 2023, Scottish Ministers approved the National Planning Framework 4 (NPF4). NPF4 delivers new guidance to streamline renewable energy projects during the consenting phase. NPF4 is therefore a significant step forward in supporting and accelerating renewable energy developments.

Predicting an increase in demand for fast, reliable and bankable wind measurement campaigns Scottish engineering and environment consultancy, Green Cat Renewables has recently doubled its fleet of ZX 300 wind Lidars that remotely measure the wind. Green Cat offers a life cycle package of project development support including wind resource assessment, noise impact assessment and Asset Management.

Merlin Garnett, Principal Noise Consultant at Green Cat commented: “The expected growth in the domestic onshore wind market has presented the opportunity to expand our fleet of Lidars. ZX 300 Lidars can be installed quickly by a small team and can easily be moved to new locations to assess wind resource at wind farms in complex terrain that wasn’t previously possible, or to accompany noise monitoring campaigns where hub height and 10m wind speed measurements are useful. This gives a huge advantage in terms of de-risking investments in wind as Scotland, and the rest of the UK, race to meet net-zero targets by 2030.”

The ZX 300 onshore wind Lidar uniquely measures wind speeds and characteristics from just 10 meters and up to 300 meters above ground level.  ZX 300 is the most validated ground-based wind Lidar in the world, its data is accepted by leading wind consultants for energy yield assessments & site prospecting and its accuracy has been demonstrated at the tallest met masts available globally.

About ZX Lidars (formerly ZephIR Lidar)

ZX Lidars provides industry-leading wind lidar products, ZX 300, ZX 300M and ZX TM for wind energy and meteorological applications. These Lidars deliver accurate wind measurements in both onshore and offshore applications at measurement heights / ranges across the full swept area of the blades of modern wind turbines, and beyond. With more than 30 million hours of operation in the field, over 10,000 deployments (and counting), and the ZX300M accounting for 95% of all new offshore wind development measurements around the world, ZX Lidars has pioneered the use of Lidar in the wind industry in more than 90 countries globally. The company is proud of the many world firsts it has achieved with customers including: upwind measurements from a turbine nacelle, turbine wake studies, offshore deployments of both fixed and floating wind lidar, an industry-accepted validation process, re-financing and re-powering of a wind farm, successful demonstration of measurement accuracy in a wind tunnel and total wind project financing from a lidar without need for a met mast. To find out more visit: www.zxlidars.com

About Green Cat Renewables (GCR)          

Green Cat Renewables is a renewable energy consultancy founded in December 2004 by Gavin Catto. The company employs over 80 staff across offices in Scotland in Biggar, Edinburgh, and Livingston, and a Canadian office, in Calgary, Alberta, opened in 2017. Green Cat was established with an aim of driving down the costs associated with the development of renewables projects and making renewables accessible beyond the large developers and utilities. It identified an opportunity to improve efficiency and reduce development costs by offering a complete in-house consultancy and project management service to deliver projects from initial conception to operation. Green Cat’s experience profile includes 500MW+ of wind, 200MW+ of solar and 20MW+ of hydro projects. To find out more visit: https://www.greencatrenewables.co.uk/

This article was published by: LidarMag-Editor

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