DocumentCode :
3442822
Title :
A high-efficiency wind-flow energy harvester using micro turbine
Author :
Carli, Davide ; Brunelli, Davide ; Bertozzi, Davide ; Benini, Luca
Author_Institution :
DEIS, Univ. of Bologna, Bologna, Italy
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
778
Lastpage :
783
Abstract :
There are emerging applications for standalone embedded systems where devices are required to operate for very long time with the minimum battery maintenance after the deployment. Examples include wireless sensor networks, environmental monitoring, surveillance, civil infrastructure and industrial control. Energy harvesting has emerged as an innovative way to keep small stationary hardware platforms running unattended for years or even decades. This paper analyzes wind flow as feasible energy source to meet the energy needs of a wireless sensor network node. We provide a detailed model and characterization of the micro wind turbine and an effective power-saving architecture to control the harvesting circuit. The optimized design of the wind flow harvester outperforms the ones proposed in literature within an overall volume below 300 cm3. A highly efficient buck-boost converter is the core of the optimal power point tracking circuit and experimental results show that the wind generator works at its maximum efficiency over a wide range of operating conditions.
Keywords :
energy harvesting; maximum power point trackers; wind power; wind turbines; buck-boost converter; civil infrastructure; environmental monitoring; industrial control; micro wind turbine; optimal power point tracking circuit; standalone embedded systems; wind-flow energy harvester; wireless sensor networks; Batteries; Circuits; Design optimization; Embedded system; Hardware; Industrial control; Monitoring; Surveillance; Wind turbines; Wireless sensor networks; Energy harvesting; maximum power point tracking; micro wind turbine; renewable energy application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4986-6
Electronic_ISBN :
978-1-4244-7919-1
Type :
conf
DOI :
10.1109/SPEEDAM.2010.5542121
Filename :
5542121
Link To Document :
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