Skip to main content

Comparative Study and Performance Analysis of Various Fibonacci Pattern of Solar Photovoltaic Tree—An Extensive Review

  • Conference paper
  • First Online:
Advances in Information Communication Technology and Computing

Abstract

In order to fulfill the world’s energy demand and to reduce greenhouse gas emission, it is requisite to develop energy efficient (%) solution from solar energy to electrical energy. Since, the photovoltaic flat level module has an insufficient collection of solar energy. Inspire of this PV flat module technology has problem of land demands, effectiveness and shortfall of pleasant attractiveness. This paper basically gives overview of newly modified technology-solar photovoltaic tree that can overcome these challenges effectively. Fibonacci form of technique is used in solar photovoltaic trees for maximum energy transform in each direction. This review paper shows analysis of two kinds of solar photovoltaic trees form of on Fibonacci pattern, such as 2/5 and 3/8 phyllotaxis form of solar photovoltaic trees. The performance (o/p power and efficiency (%)) of the classical solar panel, 3/8 and 2/5 phyllo-taxis pattern is studied and analyzed. Solar photovoltaic tree innovation generates good energy transformation since it requires only 1% of land in comparison to classical/classical flat module PV systems. This system also gives power extra than 10% with respect to classical PV system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Gangwar P, Tripathi RP, Singh AK (2021) Design of Fibonacci sequence-form of solar photovoltaic tree and analysis the performance parameter of different Phyllotaxis form of solar photovoltaic tree: an experimental approach. In: 62nd International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), pp 1–6

    Google Scholar 

  2. Frei C, Whitney R, Schiffer H-W, Rose K, Rieser DA, Al-Qahtani A, Thomas P, Turton H, Densing M, Panos E, Volkart K (2013) World energy scenarios: composing energy futures to 2050 (INIS-FR-14-0059), France

    Google Scholar 

  3. Debashree D, Behera D, Mohanty A, Mohanty R (2020) Modelling and simulation of solar photovoltaic tree for domestic lightning purpose. Inter J Nat Sci 10:22686–22689

    Google Scholar 

  4. Khatoon S, Khan H (2017) Comparative study of Fibonacci pattern and conventional pattern of solar cell. In: 6th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA), pp 158–163

    Google Scholar 

  5. Kar S, Deo MB, Panda B, Nanda BP, Moharana N (2020) Design of solar tree with photovoltaic panel using phyllotaxis phenomenon. In: International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE), pp 1–4

    Google Scholar 

  6. Praveen A, Vinothkumar M (2022) Comparative analysis of prediction on solar radiation in energy generation system using random forest and decision tree. In: International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), pp 899–903

    Google Scholar 

  7. Gaikwad K, Lokhande S (2015) Novel maximum power point tracking (MPPT) algorithm for solar photovoltaic tree application. In: International Conference on Energy Systems and Applications, pp. 189–193

    Google Scholar 

  8. Duque E, Isaza A, Ortiz P, Chica S, Lujan A, Molina J (2017) Urban sets innovation: design of a solar tree PV system for charging mobile devices in Medellin—Colombia. In: IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA), pp, 495–498

    Google Scholar 

  9. Bachulkar R, Bhatkande R, Patil A, Telgi BF (2021) Machine learning algorithms for the prediction of daily mean solar power. In: 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp 860–866

    Google Scholar 

  10. Sawant S, Bane S, Bhokare S, Bute P, Gosavi K, Gawade A (2018) Highly efficient constant power generation using solar photovoltaic tree. In: 2nd International Conference on Trends in Electronics and Informatics (ICOEI), pp 1–6

    Google Scholar 

  11. Kavaz A, Hodžić S, Hubana T, Curevac S, Đozić N, Merzic H, Tanković H, Dervišević K, Alihodžić E, Sikira E, Rahić D, Kavazovic N, Tanković F, Šestan (2014) Solar photovoltaic tree Project

    Google Scholar 

  12. Muminovic A, Avdic V, Pervan N, Tasić P, Zecevic NS (2013) Different design solutions of solar photovoltaic trees. In: Urban environment

    Google Scholar 

  13. Kumar M, Kesari J, Rana L (2020) Flexible solar power tree—a concept. J Eng Tech Appl Sci 5:217–221. https://doi.org/10.33564/IJEAST.2020.v05i02.032

  14. Deep R, Mishra A, Agarwal A (2020) Comparative analysis of solar panel output power: matrix vs tree form. In: MATEC Web of Conferences, 307. https://doi.org/10.1051/matecconf/202030701002

  15. Janapati B, Pulivarthi NR (2020) Solar photovoltaic tree with different installation positions of photovoltaic module-part 1. J Green Eng 10:2710–2727

    Google Scholar 

  16. Yuji A, Yachi T (2010) A novel photovoltaic module assembled three-dimensional. In: 35th IEEE Photovoltaic Specialists Conference, pp 002811–002816

    Google Scholar 

  17. Suto T, Yachi T (2011) Power-generation characteristics of an FPM by simulation with shadow-effect analysis. In: 37th IEEE Photovoltaic Specialists Conference, pp 001881–001886

    Google Scholar 

  18. Bernardi M, Ferralis N, Wan JH, Villalon R, Grossman JC (2012) Solar energy generation in three dimensions 5(5)

    Google Scholar 

  19. Suzumoto S, Yachi T (2013) Output power characteristics of three-dimensional photovoltaic module using Fibonacci numbers. In: IEEE 39th Photovoltaic Specialists Conference (PVSC), pp 1484–1488

    Google Scholar 

  20. Suzumoto S, Tayo L, Yachi T (2012) Output power characteristics of a three-dimensional photovoltaic module using fibonacci number composition. Intelec, pp 1–7

    Google Scholar 

  21. Maity SN (2013) Development of solar power tree—an innovation that uses up very less land and yet generates much more energy from the sun rays by SPV method

    Google Scholar 

  22. Gangwar P, Kumar NM, Singh AK, Jayakumar A, Mathew M (2019) Solar photovoltaic tree and its end-of-life management using thermal and chemical treatments for material recovery. Case Studies in Thermal Engineering

    Google Scholar 

  23. Abdelsalam AK, Shahin HT, Morsi I (2017) Hybrid electro-mechanical photovoltaic maximum power point tracking technique for innovative solar trees. In: IEEE Second International Conference on DC Microgrids (ICDCM), pp 406–414

    Google Scholar 

  24. Kumar NM, Chopra SS, Malvoni M, Elavarasan RM, Das N (2020) Solar cell technology selection for a PV leaf based on energy and sustainability indicators. a case of a multilayered solar photovoltaic tree. Energies 13(23)

    Google Scholar 

  25. Gangwar P, Tripathi RP, Singh AK (2021) Solar photovoltaic tree: a review of designs, performance, applications, and challenges. Energy Sources, Part A: Recov, Utilization, Environ Effects

    Google Scholar 

  26. Forman SE (1982) Performance of experimental terrestrial photovoltaic modules. IEEE Trans Reliability R-31(3):235–245

    Google Scholar 

  27. https://www.themarysue.com/fibonacci-tree/

  28. https://www.ijert.org/a-review-paper-on-solar-tree

  29. Takahashi A, Yachi T (2017) Orientation of fibonacci number photovoltaic modules by the simulation using direct and scattered light for power generation forests. In: IEEE 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA), San Diego, CA

    Google Scholar 

  30. Suto T, Yachi T (2011) Power-generation characteristics of an FPM by simulation with shadow-effect analysis. In: IEEE 37th IEEE Photovoltaic Specialists Conference (PVSC), Seattle, WA, USA, 001881–001886

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shakuntla Boora .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kumar, S., Boora, S., Singhal, P., Sharma, P.R. (2023). Comparative Study and Performance Analysis of Various Fibonacci Pattern of Solar Photovoltaic Tree—An Extensive Review. In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-19-9888-1_44

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-9888-1_44

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9887-4

  • Online ISBN: 978-981-19-9888-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics