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An adaptive architecture for strategic Enhancement of energy yield in shading sensitive Building-Applied Photovoltaic systems under Real-Time environments

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dc.citedby8
dc.contributor.authorRanjan Satpathy P.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorRoslan M.F.en_US
dc.contributor.authorMotahhir S.en_US
dc.contributor.authorid57195339278en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid57220188085en_US
dc.contributor.authorid57189293481en_US
dc.date.accessioned2025-03-03T07:41:25Z
dc.date.available2025-03-03T07:41:25Z
dc.date.issued2024
dc.description.abstractBuilding Applied Photovoltaic (BAPV) systems play a crucial role in developing renewable energy-generating architecture, particularly in urban settings. The BAPV arrays are designed considering the roof area and other installation factors to meet the building's energy demand or contribute to the grid. However, the BAPV array encounters a significant challenge of partial shading by nearby trees or buildings that substantially reduce the generation efficiency. This paper proposes an energy yield enhancement solution for the BAPV system, focusing on the electrical reconfiguration of the arrays during partial shading. The solution, which employs a streamlined architecture with lower switches integrated with the dingo algorithm, ensures fast and reliable operation during dynamic shading scenarios. The solution's efficiency is demonstrated in simulation using a BAPV system, considering real-time partial shading caused by neighbouring objects at different times of the day, considering the sun's movement, and comparing it with existing techniques. The results show that the solution can yield 28.79 % and 15.53 % higher power than the conventional and existing techniques, with an average convergence rate and voltage standard deviation of 0.057 s and 1.26 %, respectively, thereby proving its superiority. ? 2024 Elsevier B.V.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo114877
dc.identifier.doi10.1016/j.enbuild.2024.114877
dc.identifier.scopus2-s2.0-85205930214
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85205930214&doi=10.1016%2fj.enbuild.2024.114877&partnerID=40&md5=a476d478f3c6fe94e397be908f505ed3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36124
dc.identifier.volume324
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEnergy and Buildings
dc.subjectAdaptive architecture
dc.subjectBuilding applied photovoltaics
dc.subjectBuilding-applied photovoltaic
dc.subjectEnergy yields
dc.subjectMismatch loss
dc.subjectPartial shading
dc.subjectPhotovoltaic arrays
dc.subjectPhotovoltaic systems
dc.subjectPower enhancement
dc.subjectSensitive buildings
dc.titleAn adaptive architecture for strategic Enhancement of energy yield in shading sensitive Building-Applied Photovoltaic systems under Real-Time environmentsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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