000061975 001__ 61975
000061975 005__ 20231108202258.0
000061975 0247_ $$2doi$$a10.3390/s17081794
000061975 0248_ $$2sideral$$a100779
000061975 037__ $$aART-2017-100779
000061975 041__ $$aeng
000061975 100__ $$0(orcid)0000-0003-4404-776X$$aAntolín, Diego
000061975 245__ $$aA compact energy harvesting system for outdoor wireless sensor nodes based on a low-cost in situ photovoltaic panel characterization-modelling unit
000061975 260__ $$c2017
000061975 5060_ $$aAccess copy available to the general public$$fUnrestricted
000061975 5203_ $$aThis paper presents a low-cost high-efficiency solar energy harvesting system to power outdoor wireless sensor nodes. It is based on a Voltage Open Circuit (VOC) algorithm that estimates the open-circuit voltage by means of a multilayer perceptron neural network model trained using local experimental characterization data, which are acquired through a novel low cost characterization system incorporated into the deployed node. Both units—characterization and modelling—are controlled by the same low-cost microcontroller, providing a complete solution which can be understood as a virtual pilot cell, with identical characteristics to those of the specific small solar cell installed on the sensor node, that besides allows an easy adaptation to changes in the actual environmental conditions, panel aging, etc. Experimental comparison to a classical pilot panel based VOC algorithm show better efficiency under the same tested conditions.
000061975 536__ $$9info:eu-repo/grantAgreement/ES/UZ/JIUZ-2016-TEC-06$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/TEC2015-65750-R
000061975 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000061975 590__ $$a2.475$$b2017
000061975 591__ $$aCHEMISTRY, ANALYTICAL$$b30 / 78 = 0.385$$c2017$$dQ2$$eT2
000061975 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b16 / 61 = 0.262$$c2017$$dQ2$$eT1
000061975 591__ $$aELECTROCHEMISTRY$$b15 / 28 = 0.536$$c2017$$dQ3$$eT2
000061975 592__ $$a0.584$$b2017
000061975 593__ $$aAnalytical Chemistry$$c2017$$dQ2
000061975 593__ $$aAtomic and Molecular Physics, and Optics$$c2017$$dQ2
000061975 593__ $$aMedicine (miscellaneous)$$c2017$$dQ2
000061975 593__ $$aElectrical and Electronic Engineering$$c2017$$dQ2
000061975 593__ $$aInstrumentation$$c2017$$dQ2
000061975 593__ $$aBiochemistry$$c2017$$dQ3
000061975 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000061975 700__ $$0(orcid)0000-0002-5380-3013$$aMedrano, Nicolás$$uUniversidad de Zaragoza
000061975 700__ $$0(orcid)0000-0003-2361-1077$$aCalvo, Belén$$uUniversidad de Zaragoza
000061975 700__ $$0(orcid)0000-0001-6642-3792$$aMartínez, Pedro A.$$uUniversidad de Zaragoza
000061975 7102_ $$15008$$2250$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Electrónica
000061975 773__ $$g17, 8 (2017), [18 pp]$$pSensors$$tSensors$$x1424-8220
000061975 8564_ $$s10789540$$uhttps://zaguan.unizar.es/record/61975/files/texto_completo.pdf$$yVersión publicada
000061975 8564_ $$s108090$$uhttps://zaguan.unizar.es/record/61975/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000061975 909CO $$ooai:zaguan.unizar.es:61975$$particulos$$pdriver
000061975 951__ $$a2023-11-08-20:13:43
000061975 980__ $$aARTICLE