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Shading and Masking of PV Collectors on Horizontal and Sloped Planes Facing South and North—A Comparative Study

Author

Listed:
  • Saeed Swaid

    (School of Electrical Engineering, Tel Aviv University, 69978 Tel Aviv, Israel)

  • Joseph Appelbaum

    (School of Electrical Engineering, Tel Aviv University, 69978 Tel Aviv, Israel)

  • Avi Aronescu

    (School of Electrical Engineering, Tel Aviv University, 69978 Tel Aviv, Israel)

Abstract

With the increase in PV system installations, the available free land and rooftops for these systems may become scarcer, and therefore sloped fields facing the north may be utilized for that purpose. In deployments of PV collectors in multiple rows, either on horizontal or sloped planes, the second and subsequent rows are subject to two effects: shading and masking. Both effects reduce the electric energy generated by the PV systems. Multiple rows of collectors are deployed on horizontal planes and on sloped planes facing south, and literature on the topic has been published. No literature deals analytically with deployments of PV fields on north-facing slopes in the northern hemisphere, to the best of our knowledge. The present study develops explicit analytical expressions for the shadow height and length cast on a collector row by a row in front in multiple-row PV systems installed on slopes facing north. In addition, analytical expressions are developed for row spacing and sky view factors, altogether leading consequently to the determination of shading and masking losses. Having the developed expressions, a comparison was made between PV deployments on north-facing sloped planes to PV deployments on horizontal and south-facing slopes regarding shading and masking losses. The main finding is that the percentage of masking losses (diffuse radiation) may exceed the percentage of shading losses (beam radiation) in PV fields. At the local site 32 ∘ N , collector inclination angle β = 25 ∘ and sloped-plane ε = 10 ∘ , for example, the percentage of masking losses for a horizontal plane is 6.90%; for a sloped plane facing south, the losses are 5.39%, and for a sloped plane facing north, the losses are 6.86%. In comparison to the masking losses, the percentage of shading losses for the horizontal plane is 0.83%; for the sloped plane facing south, the losses are 0.42%, and for the sloped plane facing north, the losses are 1.37%.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3850-:d:582690
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    References listed on IDEAS

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    1. 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.
    2. Appelbaum, J., 2018. "The role of view factors in solar photovoltaic fields," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 161-171.
    3. Arias-Rosales, Andrés & LeDuc, Philip R., 2020. "Comparing View Factor modeling frameworks for the estimation of incident solar energy," Applied Energy, Elsevier, vol. 277(C).
    4. Francesco Mancini & Benedetto Nastasi, 2020. "Solar Energy Data Analytics: PV Deployment and Land Use," Energies, MDPI, vol. 13(2), pages 1-18, January.
    5. Avi Aronescu & Joseph Appelbaum, 2019. "The Effect of Collector Shading and Masking on Optimized PV Field Designs," Energies, MDPI, vol. 12(18), pages 1-10, September.
    6. Scognamiglio, Alessandra, 2016. "‘Photovoltaic landscapes’: Design and assessment. A critical review for a new transdisciplinary design vision," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 629-661.
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    1. Fernández-Solas, Álvaro & Fernández-Ocaña, Ana M. & Almonacid, Florencia & Fernández, Eduardo F., 2023. "Potential of agrivoltaics systems into olive groves in the Mediterranean region," Applied Energy, Elsevier, vol. 352(C).
    2. Appelbaum, Joseph & Aronescu, Avi, 2022. "Inter-row spacing calculation in photovoltaic fields - A new approach," Renewable Energy, Elsevier, vol. 200(C), pages 387-394.

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