Europe and China operate the largest number of offshore wind farms by Staff Writers Berlin, Germany (SPX) Aug 15, 2022
The European Union (EU), China and the United Kingdom (UK) operate the largest number of offshore wind farms in the world. This information is the result of an analysis of satellite data by the German Aerospace Center (Deutsches Zentrum fur Luft- und Raumfahrt; DLR). The researchers used Artificial Intelligence (AI) to determine not only the number and locations of the plants, but also the developments over the past few years, the output and the emergence of new plants. In June 2021, 3267 offshore wind turbines were in operation in China, 3096 in the EU and 2378 in the UK. Worldwide, 8885 turbines were in operation. The EU was ahead in terms of capacity - the offshore wind turbines in the North Sea, the Baltic Sea, the Irish Sea and in the Atlantic off the coast of Portugal had total capacity of 15.2 gigawatts. Chinese plants amounted to 14.1 gigawatts at the time, and the UK's to 10.7 gigawatts. "Together, that is approximately 98.5 percent of the world's installed offshore wind power capacity of 40.6 gigawatts in June 2021," explains Thorsten Hoser of the German Remote Sensing Data Center (Deutsches Fernerkundungsdatenzentrum; DFD) in Oberpfaffenhofen. By comparison, the three nuclear power plants currently still in operation in Germany have a total installed capacity of 4.3 gigawatts.
Expansion of offshore wind energy According to the data collected, 627 new turbines were under construction off the Chinese coast in the middle of last year. Off the EU coasts, 63 turbines were under construction. Seven existing offshore wind farms were counted off the coasts of the USA. The evaluation did not address land-based wind power plants. "Offshore wind turbines are an important building block for greenhouse-gas-neutral energy production and at the same time support national efforts for self-sufficient energy production independent of coal and natural gas. They also have the advantage of being constructed at locations where high and steady wind speeds prevail," says Claudia Kunzer, Head of the Land Surface Dynamics Department at DFD. "In 1991, the world's first wind farm was constructed off the Danish coast. Since then, the number of offshore wind turbines has been steadily increasing in Germany, in Europe and worldwide." The German government as well as the EU and United Kingdom are currently working to expand offshore wind energy.
Using artificial intelligence to analyse global satellite data The researchers at DFD have developed algorithms that use AI techniques - specifically machine learning - to automatically detect offshore wind turbines in the extensive Sentinel-1 data archive. This archive provided more than 11 petabytes of data in 2021. A neural network was trained with examples to recognise wind turbines. "The training examples needed to be diverse in order to present the neural network with a wide range of scenarios during learning," explains Thorsten Hoser, who led the analysis of the data. Part of the research work dealt with the creation of the examples. They describe the characteristic properties of a satellite image. Then the image properties are recombined to create tens of thousands of completely new virtual training images. This approach is transferable to other objects. In this way, other objects besides offshore wind turbines can be extracted from global satellite data archives in the future. Editor's Note: Detailed supporting images and charts about this article can be viewed here at DLR
A new method boosts wind farms' energy output, without new equipment Boston MA (SPX) Aug 12, 2022 Virtually all wind turbines, which produce more than 5 percent of the world's electricity, are controlled as if they were individual, free-standing units. In fact, the vast majority are part of larger wind farm installations involving dozens or even hundreds of turbines, whose wakes can affect each other. Now, engineers at MIT and elsewhere have found that, with no need for any new investment in equipment, the energy output of such wind farm installations can be increased by modeling the wind flow ... read more
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