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Optimal distribution for photovoltaic solar trackers to minimize power losses caused by shadows

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  • Díaz-Dorado, Eloy
  • Suárez-García, Andrés
  • Carrillo, Camilo J.
  • Cidrás, José

Abstract

The typical design of photovoltaic facilities with photovoltaic solar trackers is achieved using a squared or diagonal distribution of the trackers. In general, this is a good distribution for harvesting most solar radiation. However, these facilities can be affected by shadows of environmental objects like buildings, vegetation, etc. In this paper, a metaheuristic method based on evolution strategies is presented for calculating the best location of each tracker on a building of irregular shape, considering the shadows caused by obstacles and photovoltaic trackers. The evolution strategies will use the energy readings obtained by a photovoltaic tracker distribution to look for the best location. In the calculus of the energy, solar charts are used to combine the solar radiation received and shadows suffered by the tracker for each solar position.

Suggested Citation

  • Díaz-Dorado, Eloy & Suárez-García, Andrés & Carrillo, Camilo J. & Cidrás, José, 2011. "Optimal distribution for photovoltaic solar trackers to minimize power losses caused by shadows," Renewable Energy, Elsevier, vol. 36(6), pages 1826-1835.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:6:p:1826-1835
    DOI: 10.1016/j.renene.2010.12.002
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    Citations

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    Cited by:

    1. Maatallah, Taher & El Alimi, Souheil & Nassrallah, Sassi Ben, 2011. "Performance modeling and investigation of fixed, single and dual-axis tracking photovoltaic panel in Monastir city, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4053-4066.
    2. Perpiñán, O., 2012. "Cost of energy and mutual shadows in a two-axis tracking PV system," Renewable Energy, Elsevier, vol. 43(C), pages 331-342.
    3. Abdelghani-Idrissi, M.A. & Khalfallaoui, S. & Seguin, D. & Vernières-Hassimi, L. & Leveneur, S., 2018. "Solar tracker for enhancement of the thermal efficiency of solar water heating system," Renewable Energy, Elsevier, vol. 119(C), pages 79-94.
    4. Zeineb Behi & Kelvin Tsun Wai Ng & Amy Richter & Nima Karimi & Abhijeet Ghosh & Lei Zhang, 2022. "Exploring the untapped potential of solar photovoltaic energy at a smart campus: Shadow and cloud analyses," Energy & Environment, , vol. 33(3), pages 511-526, May.
    5. Arias-Rosales, Andrés & LeDuc, Philip R., 2023. "Urban solar harvesting: The importance of diffuse shadows in complex environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    6. Arias-Rosales, Andrés & LeDuc, Philip R., 2022. "Shadow modeling in urban environments for solar harvesting devices with freely defined positions and orientations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    7. Yadav, Anurag Singh & Mukherjee, V., 2022. "Comprehensive investigation of various bypass diode associations for killer-SuDoKu PV array under several shading conditions," Energy, Elsevier, vol. 239(PB).
    8. Hai Lan & Jinfeng Dai & Shuli Wen & Ying-Yi Hong & David C. Yu & Yifei Bai, 2015. "Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship," Energies, MDPI, vol. 8(10), pages 1-16, October.
    9. d'Alessandro, Vincenzo & Di Napoli, Fabio & Guerriero, Pierluigi & Daliento, Santolo, 2015. "An automated high-granularity tool for a fast evaluation of the yield of PV plants accounting for shading effects," Renewable Energy, Elsevier, vol. 83(C), pages 294-304.
    10. Fathabadi, Hassan, 2016. "Novel high efficient offline sensorless dual-axis solar tracker for using in photovoltaic systems and solar concentrators," Renewable Energy, Elsevier, vol. 95(C), pages 485-494.

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