DocumentCode :
2044577
Title :
Policies for predictive energy management with supercapacitors
Author :
Renner, Christian ; Meier, Florian ; Turau, Volker
Author_Institution :
Inst. of Telematics, Hamburg Univ. of Technol., Hamburg, Germany
fYear :
2012
fDate :
19-23 March 2012
Firstpage :
314
Lastpage :
319
Abstract :
This paper presents an algorithm to dynamically determine the maximum supported uniform demand for energy of sensor nodes powered by energy harvesters using supercapacitors as energy buffers. Knowledge about the maximum uniform consumption is required to adapt the sensor node´s duty cycle or task schedule to achieve uniform, utility-maximizing, and depletion-safe operation. Our algorithm makes use of a supercapacitors´ relationship between state-of-charge and voltage, is particularly designed to handle the non-linear system model, and is lightweight enough to run on low-power sensor node hardware. We define three energy policies, evaluate their performance using a real-world solar-harvesting trace, and analyze the influence of the supercapacitor´s capacity and errors of the energy forecast.
Keywords :
demand side management; energy harvesting; load forecasting; power consumption; supercapacitors; energy buffer; energy consumption; energy demand; energy forecast; energy harvester; nonlinear system; predictive energy management policy; sensor node duty cycle; solar harvesting trace; state-of-charge; supercapacitor; task schedule; Adaptation models; Hardware; Load modeling; Mathematical model; Photovoltaic cells; Prediction algorithms; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on
Conference_Location :
Lugano
Print_ISBN :
978-1-4673-0905-9
Electronic_ISBN :
978-1-4673-0906-6
Type :
conf
DOI :
10.1109/PerComW.2012.6197502
Filename :
6197502
Link To Document :
بازگشت