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Inter-row spacing calculation in photovoltaic fields - A new approach

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  • Appelbaum, Joseph
  • Aronescu, Avi

Abstract

The inter-row spacing in photovoltaic (PV) systems is an important design parameter affecting the inter-row shading and the diffuse radiation masking losses and hence, reducing the electric output of the PV system. Decreasing these losses are possible by increasing the inter-row spacing however, on the expense of land, cabling cost and associated system losses. As shading losses in PV systems was the prominent concern, many articles are published on this topic, including publications on row spacing. Less attention was paid in the past to masking losses, constituting a larger component of radiation losses. The present study shows that masking losses exceed by far the shading losses for both isotropic and anisotropic diffuse radiation models. Consequently, this study proposes to use an acceptable level of masking losses as a criterion for the spacing between the PV rows. Assuming an yearly acceptable 1.5% masking losses, for a given PV system design for example, the inter-row spacing is 1.344m, the shading losses are 0.309% and the global losses are 1.809%, at latitude 320N.

Suggested Citation

  • Appelbaum, Joseph & Aronescu, Avi, 2022. "Inter-row spacing calculation in photovoltaic fields - A new approach," Renewable Energy, Elsevier, vol. 200(C), pages 387-394.
    • Handle: RePEc:eee:renene:v:200:y:2022:i:c:p:387-394
    DOI: 10.1016/j.renene.2022.09.100
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    References listed on IDEAS

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    1. Saeed Swaid & Joseph Appelbaum & Avi Aronescu, 2021. "Shading and Masking of PV Collectors on Horizontal and Sloped Planes Facing South and North—A Comparative Study," Energies, MDPI, vol. 14(13), pages 1-15, June.
    2. Copper, J.K. & Sproul, A.B. & Bruce, A.G., 2016. "A method to calculate array spacing and potential system size of photovoltaic arrays in the urban environment using vector analysis," Applied Energy, Elsevier, vol. 161(C), pages 11-23.
    3. Bakhshi, Reza & Sadeh, Javad & Mosaddegh, Hamid-Reza, 2014. "Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on Genetic Algorithm," Renewable Energy, Elsevier, vol. 72(C), pages 386-394.
    4. Kornelakis, Aris & Marinakis, Yannis, 2010. "Contribution for optimal sizing of grid-connected PV-systems using PSO," Renewable Energy, Elsevier, vol. 35(6), pages 1333-1341.
    5. Castellano, Nuria Novas & Gázquez Parra, José Antonio & Valls-Guirado, Juan & Manzano-Agugliaro, Francisco, 2015. "Optimal displacement of photovoltaic array’s rows using a novel shading model," Applied Energy, Elsevier, vol. 144(C), pages 1-9.
    6. Aronescu, A. & Appelbaum, J., 2017. "Design optimization of photovoltaic solar fields-insight and methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 882-893.
    7. Perez-Gallardo, J.R. & Azzaro-Pantel, C. & Astier, S. & Domenech, S. & Aguilar-Lasserre, A., 2014. "Ecodesign of photovoltaic grid-connected systems," Renewable Energy, Elsevier, vol. 64(C), pages 82-97.
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