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Analysis of spatial fixed PV arrays configurations to maximize energy harvesting in BIPV applications

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  • Celik, Berk
  • Karatepe, Engin
  • Silvestre, Santiago
  • Gokmen, Nuri
  • Chouder, Aissa

Abstract

This paper presents a new approach for efficient utilization of building integrated photovoltaic (BIPV) systems under partial shading conditions in urban areas. The aim of this study is to find out the best electrical configuration by analyzing annual energy generation of the same BIPV system, in terms of nominal power, without changing physical locations of the PV modules in the PV arrays. For this purpose, the spatial structure of the PV system including the PV modules and the surrounding obstacles is taken into account on the basis of virtual reality environment. In this study, chimneys which are located on the residential roof-top area are considered to create the effect of shading over the PV array. The locations of PV modules are kept stationary, which is the main point of this paper, while comparing the performances of the configurations with the same surrounding obstacles that causes partial shading conditions. The same spatial structure with twelve distinct PV array configurations is considered. The same settling conditions on the roof-top area allow fair comparisons between PV array configurations. The payback time analysis is also performed with considering local and global maximum power points (MPPs) of PV arrays by comparing the annual energy yield of the different configurations.

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  • Celik, Berk & Karatepe, Engin & Silvestre, Santiago & Gokmen, Nuri & Chouder, Aissa, 2015. "Analysis of spatial fixed PV arrays configurations to maximize energy harvesting in BIPV applications," Renewable Energy, Elsevier, vol. 75(C), pages 534-540.
    • Handle: RePEc:eee:renene:v:75:y:2015:i:c:p:534-540
    DOI: 10.1016/j.renene.2014.10.041
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    5. Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Choi, Jun-Ki, 2018. "Improving the prediction performance of the finite element model for estimating the technical performance of the distributed generation of solar power system in a building façade," Applied Energy, Elsevier, vol. 215(C), pages 41-53.
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    8. Kenji Araki & Yasuyuki Ota & Akira Nagaoka & Kensuke Nishioka, 2023. "3D Solar Irradiance Model for Non-Uniform Shading Environments Using Shading (Aperture) Matrix Enhanced by Local Coordinate System," Energies, MDPI, vol. 16(11), pages 1-20, May.
    9. Park, Hyo Seon & Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Jeong, Kwangbok, 2016. "A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind," Applied Energy, Elsevier, vol. 179(C), pages 211-227.
    10. Bana, Sangram & Saini, R.P., 2017. "Experimental investigation on power output of different photovoltaic array configurations under uniform and partial shading scenarios," Energy, Elsevier, vol. 127(C), pages 438-453.
    11. Kyritsis, A. & Roman, E. & Kalogirou, S.A. & Nikoletatos, J. & Agathokleous, R. & Mathas, E. & Tselepis, S., 2019. "Households with Fibre Reinforced Composite BIPV modules in Southern Europe under Net Metering Scheme," Renewable Energy, Elsevier, vol. 137(C), pages 167-176.
    12. Kim, Hanjin & Ku, Jiyoon & Kim, Sung-Min & Park, Hyeong-Dong, 2022. "A new GIS-based algorithm to estimate photovoltaic potential of solar train: Case study in Gyeongbu line, Korea," Renewable Energy, Elsevier, vol. 190(C), pages 713-729.
    13. Belhaouas, N. & Cheikh, M.-S. Ait & Agathoklis, P. & Oularbi, M.-R. & Amrouche, B. & Sedraoui, K. & Djilali, N., 2017. "PV array power output maximization under partial shading using new shifted PV array arrangements," Applied Energy, Elsevier, vol. 187(C), pages 326-337.
    14. Spiliotis, Konstantinos & Gonçalves, Juliana E. & Saelens, Dirk & Baert, Kris & Driesen, Johan, 2020. "Electrical system architectures for building-integrated photovoltaics: A comparative analysis using a modelling framework in Modelica," Applied Energy, Elsevier, vol. 261(C).

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