10 promising ways to ‘green’ offshore wind
Read the stories in Mongabay’s series on offshore wind energy: Part One, Part Two and Part Three. Offshore wind has enormous potential as a source of renewable energy and is tipped to greatly expand in the next few decades. As this clean energy drive gathers pace, experts underline that new wind farms must be developed […]
Offshore wind energy holds significant potential as a renewable resource, with experts predicting substantial growth in the coming decades. However, it is crucial to develop these wind farms responsibly to avoid harming ecosystems and preserve biodiversity. To this end, a team of experts at Mongabay identified ten promising strategies to "green" offshore wind farms, ensuring their development works with nature instead of against it.
The first step in this process is marine spatial planning during site selection. Marjolein Kelder, a senior project manager at The Rich North Sea, emphasized that wind farms should not be placed in ecologically valuable areas or bird migration corridors. By carefully choosing locations, we can preserve ecosystems, accommodate coastal community needs, and minimize conflicts with other marine activities such as fisheries and shipping.
Additionally, sensitivity maps are being developed for species like birds and bats to support more informed decision-making during the planning process.
Another promising solution is the development of nature-friendly structures for offshore wind farms. Research suggests that wind farms can serve as refuges for some marine species. Modifying wind farm structures can offer additional habitat for fish and other marine life. These strategies include deploying artificial reefs, utilizing intentional gaps called water replenishment holes in turbine foundations for improved water flow, and incorporating steel structures.
By integrating these features into wind farm designs, we can create a more sustainable and ecologically balanced energy industry.
Written by urgent.news from Mongabay's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
