Maximization of solar power extraction from photovoltaic modules using energy harvesting solutions for smart cities

dc.contributor.authorSalgado, José Alberto Fernandespor
dc.contributor.authorMonteiro, Vítor Duarte Fernandespor
dc.contributor.authorPinto, J. G.por
dc.contributor.authorFigueiredo, Ruben E.por
dc.contributor.authorAfonso, João L.por
dc.contributor.authorAfonso, José A.por
dc.date.accessioned2021-11-23T10:12:34Z
dc.date.available2021-11-23T10:12:34Z
dc.date.issued2022
dc.description.abstractSmart cities integrate a wide and diverse set of small electronic devices that use Internet communication capabilities with very different purposes and features. A challenge that arises is how to feed these small devices. Among the various possibilities, energy harvesting presents itself as the most economical and sustainable. This paper describes the design and simulation of an electronic circuit dedicated to maximizing the solar power extraction from photovoltaic (PV) modules. For this purpose, an integrated circuit (IC) dedicated to energy harvesting is used, namely the LTC3129. This IC is a DC-DC converter that uses the maximum power point control (MPPC) technique, which aims to keep its input voltage close to a defined reference value. The designed circuit is used with three photovoltaic modules, each one of a different PV technology: monocrystalline silicon, polycrystalline silicon and amorphous silicon. These PV modules are installed in a weather station to correlate the power produced with the meteorological conditions, in order to assess which solar photovoltaic technology is best for a given location. The equivalent circuit of a solar cell is used in simulation to represent a photovoltaic module. The values of the components of the equivalent circuit are adjusted so they have the same characteristics of the modules installed in the weather station. With each module, a power resistor of the same value is used as load, for comparison purposes. For the case of the monocrystalline silicon technology, the use of the LTC3129 converter increases the power extraction by 47.6% compared to when this converter is not used between the PV module and the load.por
dc.description.sponsorshipThis work was supported by FCT national funds, under the national support to R&D units grant, through the reference project UIDB/04436/2020 and UIDP/04436/2020por
dc.distributioninternationalpor
dc.identifier.citationSalgado, J.A., Monteiro, V., Pinto, J.G., Figueiredo, R.E., Afonso, J.L., Afonso, J.A. (2022). Maximization of Solar Power Extraction from Photovoltaic Modules Using Energy Harvesting Solutions for Smart Cities. In: Afonso, J.L., Monteiro, V., Pinto, J.G. (eds) Sustainable Energy for Smart Cities. SESC 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-030-97027-7_13
dc.identifier.doi10.1007/978-3-030-97027-7_13por
dc.identifier.isbn9783030970260por
dc.identifier.issn1867-8211por
dc.identifier.urihttps://hdl.handle.net/1822/74765
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer, Champor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04436%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04436%2F2020/PTpor
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectPhotovoltaic Modulespor
dc.subjectDC-DC Converterpor
dc.subjectMaximum Power Point Controlpor
dc.subjectLTSpice softwarepor
dc.subjectLTC3129 DC-DC converterpor
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.odsEnergias renováveis e acessíveispor
dc.subject.wosScience & Technologypor
dc.subject.wosSocial Sciencespor
dc.titleMaximization of solar power extraction from photovoltaic modules using energy harvesting solutions for smart citiespor
dc.typeconferencePaperpor
dspace.entity.typePublicationen
oaire.citationConferencePlaceVirtual conference, Portugalpor
oaire.citationEndPage215por
oaire.citationStartPage205por
oaire.citationVolume425por
oaire.versionAMpor
sdum.conferencePublicationEAI SESC 2021 - 3rd EAI International Conference on Sustainable Energy for Smart Citiespor
sdum.journalLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)por

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