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Neural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cells

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dc.citedby3
dc.contributor.authorDosymbetova G.en_US
dc.contributor.authorMekhilef S.en_US
dc.contributor.authorOrynbassar S.en_US
dc.contributor.authorKapparova A.en_US
dc.contributor.authorSaymbetov A.en_US
dc.contributor.authorNurgaliyev M.en_US
dc.contributor.authorZholamanov B.en_US
dc.contributor.authorKuttybay N.en_US
dc.contributor.authorManakov S.en_US
dc.contributor.authorSvanbayev Y.en_US
dc.contributor.authorKoshkarbay N.en_US
dc.contributor.authorid57202334195en_US
dc.contributor.authorid57928298500en_US
dc.contributor.authorid58028274600en_US
dc.contributor.authorid58028607300en_US
dc.contributor.authorid58529450500en_US
dc.contributor.authorid57202335235en_US
dc.contributor.authorid57258537000en_US
dc.contributor.authorid57196375521en_US
dc.contributor.authorid6602278731en_US
dc.contributor.authorid54906220800en_US
dc.contributor.authorid57257861100en_US
dc.date.accessioned2024-10-14T03:20:47Z
dc.date.available2024-10-14T03:20:47Z
dc.date.issued2023
dc.description.abstractOne of the methods of increasing output power of solar cells is increasing the concentration ratio using lenses and mirrors. Due to the temperature increase of silicon solar cells with concentrating lenses the system must be provided with an active cooling system. PV systems cooled with active or passive cooling methods using air, water or other substances are not taking into account the relationship between the power of solar radiation and operating power of the pump used in the cooling system, which is sufficiently complicated and little studied. This paper proposes a new active energy-efficient cooling system for silicon LCPV (Low Concentrating Photovoltaic). The idea of the proposed cooling system is to make the pump operate as efficiently as possible relative to the power of solar radiation and initial temperature of the heated solar cell. Performed experiments show that at fixed temperature and fixed solar radiation there is the most optimal pump operating power. Neural network is used to find this optimal pump power. Using neural networks requires large computing resources and development software which is not often available on local control computing devices nearby solar power plants. IoT (Internet of Things) technologies allow not only remote monitoring and control, but also forecasting the consumption of the cooling system depending on the current temperature and solar radiation power. Thus, energy efficiency of the cooling system is improved using neural networks and IoT technologies. The simulation of the cooling system operation was performed using various algorithms of the cooling system operation. The proposed active cooling system for silicon LCPV using IoT technologies allows the power consumption to be reduced by 60% compared to algorithms based on the threshold value of temperature. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2023.3280265
dc.identifier.epage52602
dc.identifier.scopus2-s2.0-85161033626
dc.identifier.spage52585
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85161033626&doi=10.1109%2fACCESS.2023.3280265&partnerID=40&md5=b697a3cdea9c711f103c7edf2628066d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34575
dc.identifier.volume11
dc.pagecount17
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.subjectactive cooling system
dc.subjectBi-LSTM
dc.subjectIoT monitoring and control
dc.subjectLCPV silicon solar cells
dc.subjectneural networks
dc.subjectXGBoost
dc.subjectComputer control systems
dc.subjectComputing power
dc.subjectCooling systems
dc.subjectEnergy efficiency
dc.subjectGreen computing
dc.subjectInternet of things
dc.subjectMaximum power point trackers
dc.subjectPhotoelectrochemical cells
dc.subjectPumps
dc.subjectSilicon solar cells
dc.subjectSolar energy
dc.subjectSolar panels
dc.subjectSolar power generation
dc.subjectThermoelectric equipment
dc.subjectActive cooling
dc.subjectActive cooling system
dc.subjectBi-LSTM
dc.subjectConcentrating photovoltaic
dc.subjectInternet of thing monitoring and control
dc.subjectLow concentrating photovoltaic silicon solar cell
dc.subjectMonitoring and control
dc.subjectNeural-networks
dc.subjectXgboost
dc.subjectComputer architecture
dc.titleNeural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cellsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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