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Parametric vertical photovoltaic system: Fibonacci methodology applied to solar trees design

Author

Listed:
  • Palaoro, Lohane Barcelos
  • Marins, Daniela Pawelski Amaro
  • Fraga, Anderson Azevedo
  • de Oliveira Rocha, Helder Roberto
  • de Alvarez, Cristina Engel
  • Segatto, Marcelo Eduardo Vieira

Abstract

This study presents a novel Fibonacci-inspired solar tree design to optimize energy efficiency in urban environments while addressing the growing demand for sustainable energy solutions. The objective was to propose a project methodology for Solar Trees, one that can adapt to diverse contexts and enhance the viability of these structures as source of renewable energy within urban landscapes. The research used Rhinoceros 7 and Grasshopper to create a base model, parametrically adjust key design parameters, and simulate solar irradiation through the Ladybug plug-in. The optimized solar tree design achieved an annual solar energy incidence of 84,017 kWh and an irradiation of 3,222 kWh/m2/year, surpassing traditional flat PVS, which would generate only 68,084 kWh/year with an irradiation of 2,611 kWh/m2/year. Comprising 21 modular photovoltaic leaves made from mono-crystalline silicon, the design meets technical energy requirements and offers aesthetic and landscaping benefits in urban settings. This work underscores the importance of a multidisciplinary approach, merging architecture, energy efficiency, and environmental science to propose feasible solutions for contemporary urban challenges. The findings indicate that the proposed solar tree design fulfills energy demands and enhances public spaces, challenging conventional perceptions of photovoltaic systems as fragmented and visually unappealing.

Suggested Citation

  • Palaoro, Lohane Barcelos & Marins, Daniela Pawelski Amaro & Fraga, Anderson Azevedo & de Oliveira Rocha, Helder Roberto & de Alvarez, Cristina Engel & Segatto, Marcelo Eduardo Vieira, 2026. "Parametric vertical photovoltaic system: Fibonacci methodology applied to solar trees design," Renewable Energy, Elsevier, vol. 256(PC).
  • Handle: RePEc:eee:renene:v:256:y:2026:i:pc:s0960148125016246
    DOI: 10.1016/j.renene.2025.123960
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