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Defining the landscape for wind blades at the end of service life


Figure 1. This figure provides an estimate of the maximum and minimum tonnage of EOL blade material for existing wind blades installed up to (but not after) 2019 in entire world (global), the U.S. and Europe (European Union, plus U.K.). The maximum scenario is based on the shortest service life,15 years, and the higher 14 t/MW blade conversion factor. The minimum scenario is based on the longest service life of 30 years and the lower 10 t/MW blade conversion factor. The predictions are based on total blade mass. All figures credit: Emma Delaney QUB (Re-Wind Network)
There have been a number of journal papers and magazine articles published recently that have addressed the issue of wind turbine blade “waste.” Much of the evidence presented in these articles is felt to be too speculative in the opinion of the authors. Work undertaken by the Re-Wind Network team has raised six key issues for discussion of blade end of life (EOL). These include how to define wind turbine en ....

United Kingdom , Northern Ireland , Jennifer Mckinley , Paul Leahy , Gemma Delaney , Wood Mackenzie , Queen University Belfast , Department For The Economy Northern Ireland , University College Cork , Georgia Institute Of Technology , National Science Foundation , Lawrence Bank , School Of Engineering , Wind Network , School Of Natural , School Of Architecture , Science Foundation Ireland Republic Of , Europe European Union , European Union , Re Wind Network , Geographical Information Science , Science Foundation Ireland , Russell Gentry , Georgia Institute , Built Environment , University Belfast ,

News | An Integrated Geospatial Approach for Repurposing Wind Turbine Blades | Geographic Information Science

News | An Integrated Geospatial Approach for Repurposing Wind Turbine Blades | Geographic Information Science
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Gemma Delaney , Wind Network , Centre Post , Geomatics Post Graduate Researcher , Project Partners Publish New , Re Wind Network , Geographical Information Science , எம்மா டெலானி , மையம் போஸ்ட் , புவியியல் தகவல் அறிவியல் ,

GIS technology helps map out how America's mafia networks were 'connected'


GIS technology helps map out how America s mafia networks were connected
Organized crime networks or mafia stretched across the U.S. in the 1960s. Researchers used geographic information systems to investigate how these networks were shaped and how they shaped organized crime during the mafia s organizational height.
Image: Penn State
GIS technology helps map out how America s mafia networks were connected
Matt Swayne
April 12, 2021
UNIVERSITY PARK, Pa. At its height in the mid-20th century, American organized crime groups, often called the mafia, grossed approximately $40 billion each year, typically raising that money through illegal or untaxed activities, such as extortion and gambling. ....

United States , New York , Bradley Hinger , Daniel Dellaposta , Brittany Freelin , Hanzhou Chen , International Journal Of Geographical Information Science , Institute For Computational , Geovista Center , Mafia Networks , Data Sciences , Us Federal Bureau Of Narcotics , Clio Andris , Penn State , New York City , International Journal , Geographical Information Science , ஒன்றுபட்டது மாநிலங்களில் , புதியது யார்க் , டேனியல் டெல்லபோஸ்டா , சர்வதேச இதழ் ஆஃப் புவியியல் தகவல் அறிவியல் , நிறுவனம் க்கு கணக்கீட்டு , தகவல்கள் அறிவியல் , எங்களுக்கு கூட்டாட்சியின் பணியகம் ஆஃப் போதைப்பொருள் , கிளியோ ஆண்ட்ரிஸ் , பென் நிலை ,