Wind Turbine Offloadng Optimization Strategy

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ge.mp4 (57.68 MB)
ge_team_poster.pdf (180.97 KB)
ge_videostream.html (985 B)
Transcription.txt (19.59 KB)
Author(s)
Cantu, Antonio Elosua
Ching Sanchez, Jacmara Katheryn
Harasic-Yaksic, Oscar Andres
Kieffer, Santiago Diaz
Mintz, Yonatan Dov
Nassarwere, Mario Solares
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Undergraduate Scholarship
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/44488
Abstract
GE Energy is a leader in the alternative energy field, installing over 16,000 wind turbines since 2002. The team created tools to forecast the times of arrival of components to wind sites and optimize the allocation of offloading cranes. GE Energy can expect savings of 1.9 million from implementation of these tools.
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Date
2012-05-02
Extent
20:54 minutes
Resource Type
Moving Image
Text
Resource Subtype
Poster
Presentation
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