Title :
Controlling wind harvesting with wireless sensor networks
Author :
Mossé, Daniel ; Gadola, Guy
Author_Institution :
Comput. Sci. Dept., Univ. of Pittsburgh, Pittsburgh, PA, USA
Abstract :
Harnessing wind near existing electrical infrastructure is a low-cost way to tap alternative energy sources. However, it should be done in a manner considerate to converter owners and neighbors. Wireless sensor networks can be used to control wind-to-electricity converters toward this goal and can aid toward re-scheduling electrical loads.
Keywords :
energy harvesting; power generation control; scheduling; wind power plants; wireless sensor networks; electrical infrastructure; energy sources; harnessing wind; scheduling electrical loads; wind harvesting control; wind-to-electricity converters; wireless sensor networks; Monitoring; Wireless communication; load management; robot control; wind energy; wireless sensor networks;
Conference_Titel :
Green Computing Conference (IGCC), 2012 International
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4673-2155-6
Electronic_ISBN :
978-1-4673-2153-2
DOI :
10.1109/IGCC.2012.6322285