Publication:
IoT based data acquisition and remote monitoring system for large-scale photovoltaic power plants

dc.contributor.authorKALAY, MUHAMMET ŞAMİL
dc.contributor.authorSAĞLAM, ŞAFAK
dc.contributor.authorORAL, BÜLENT
dc.contributor.authorsKalay M. Ş., Kılıç B., Mellit A., Oral B., Sağlam Ş.
dc.date.accessioned2023-06-20T06:12:15Z
dc.date.available2023-06-20T06:12:15Z
dc.date.issued2022-05-20
dc.description.abstractNormal 0 21 false false false DE X-NONE AR-SA /* Style Definitions */ table.MsoNormalTable {mso-style-name:\"Table Normal\"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:\"; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; line-height:12.0pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:\"Times New Roman\",serif; mso-ansi-language:EN-US; mso-fareast-language:EN-US;} The amount of solar capacity deployed worldwide has doubled in the past decades. The increasing use of solar energy makes photovoltaic (PV) power plants substantial. In PV power plants, reducing maintenance and operating costs positively affects efficiency. A failure in any module can reduce or interrupt the production of electrical energy, causing significant losses in both efficiency and revenue. Therefore, responding to a fault as quickly as possible in PV power plants is critical. The ability of the PV plant operator to react to potential faults is directly related to the rapid detection of faulty modules. In this paper, IoT based data acquisition and monitoring system is designed to diagnose module failures and remotely monitor for PV power plant\"s performance. The current, voltage, module surface temperature, and solar radiation values are measured for each PV module. These data are transmitted wirelessly to long distances with LoRa modules. All data acquired in the central recording unit device are transferred to the internet, enabling online access and also stored on the memory card.
dc.identifier.citationKalay M. Ş., Kılıç B., Mellit A., Oral B., Sağlam Ş., \"IoT Based Data Acquisition and Remote Monitoring System for Large-Scale Photovoltaic Power Plants\", The Third Edition of the International Conference on Electronic Engineering and Renewable Energy (ICEERE’2022), Sattat, Fas, 20 Mayıs 2022
dc.identifier.urihttps://hdl.handle.net/11424/290450
dc.language.isoeng
dc.relation.ispartofThe Third Edition of the International Conference on Electronic Engineering and Renewable Energy (ICEERE’2022)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectElektrik-Elektronik Mühendisliği
dc.subjectEnerji
dc.subjectYenilenebilir Enerji
dc.subjectMühendislik ve Teknoloji
dc.subjectElectrical and Electronics Engineering
dc.subjectEnergy
dc.subjectRenewable energy
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectENERJİ VE YAKITLAR
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectENGINEERING
dc.subjectENGINEERING, ELECTRICAL & ELECTRONIC
dc.subjectENERGY & FUELS
dc.subjectEnerji Mühendisliği ve Güç Teknolojisi
dc.subjectYenilenebilir Enerji, Sürdürülebilirlik ve Çevre
dc.subjectSinyal İşleme
dc.subjectGenel Enerji
dc.subjectElektrik ve Elektronik Mühendisliği
dc.subjectYakıt Teknolojisi
dc.subjectEnerji (çeşitli)
dc.subjectFizik Bilimleri
dc.subjectEnergy Engineering and Power Technology
dc.subjectRenewable Energy, Sustainability and the Environment
dc.subjectSignal Processing
dc.subjectGeneral Energy
dc.subjectElectrical and Electronic Engineering
dc.subjectFuel Technology
dc.subjectEnergy (miscellaneous)
dc.subjectPhysical Sciences
dc.titleIoT based data acquisition and remote monitoring system for large-scale photovoltaic power plants
dc.typeconferenceObject
dspace.entity.typePublication
local.avesis.id1c9f4a4f-b4a4-4d50-807d-88766acb066d
relation.isAuthorOfPublication06ee9c4b-e86d-41d4-9f3a-852295b89475
relation.isAuthorOfPublication626969d4-2bdf-49c1-a214-cc9bf82c5b67
relation.isAuthorOfPublicationaf6e4989-cfff-4dcf-ad2e-9eca4a86cc9b
relation.isAuthorOfPublication.latestForDiscovery06ee9c4b-e86d-41d4-9f3a-852295b89475

Files

Collections