IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2672-d1095582.html
   My bibliography  Save this article

The Shading Influence on the Economic Viability of a Real Photovoltaic System Project

Author

Listed:
  • Catarina Pinho Correia Valério Bernardo

    (Department of Electrical and Computer Engineering, Instituto Superior Técnico, 1049-001 Lisbon, Portugal
    Instituto de Telecomunicações, 1049-001 Lisbon, Portugal)

  • Ricardo A. Marques Lameirinhas

    (Department of Electrical and Computer Engineering, Instituto Superior Técnico, 1049-001 Lisbon, Portugal
    Instituto de Telecomunicações, 1049-001 Lisbon, Portugal)

  • João Paulo Neto Torres

    (Instituto de Telecomunicações, 1049-001 Lisbon, Portugal
    Academia Militar/CINAMIL, Av. Conde Castro Guimarães, 2720-113 Amadora, Portugal)

  • António Baptista

    (Department of Electrical and Computer Engineering, Instituto Superior Técnico, 1049-001 Lisbon, Portugal)

Abstract

Renewable resources for producing energy for self-consumption are growing, namely solar energy. This work focuses on the comparison of photovoltaic systems for energy production for self-consumption on a property in three different regions of Portugal using traditional and emerging technologies, without batteries’ implementation. According to Portuguese law, there is no stipulated value for selling surplus energy produced by a self consumption unit, to the public grid. In order to analyse the economic viability of the project, two scenarios are studied: the delivery, at zero cost of the surplus energy produced to the grid, and its sale. Furthermore, the same analysis is carried out considering partial shading on the photovoltaic generator. The results show that if there is no surplus production sale to the grid, the project becomes economically unviable for the four PV technologies. Otherwise, for the traditional technologies, the project is economically viable, presenting a payback time lower than 10 years. Using emerging technologies, the project becomes economically unviable. When applying partial shading on the generator, the project becomes, in all the scenarios under study, economically unviable. It can be concluded that introducing nanostructures in solar cells to power an infrastructure is not, for now, the best solution from an economic point of view, considering the current legislation. In addition, the shading makes the projects under study unviable, as it is a factor that cannot be controlled in its entirety.

Suggested Citation

  • Catarina Pinho Correia Valério Bernardo & Ricardo A. Marques Lameirinhas & João Paulo Neto Torres & António Baptista, 2023. "The Shading Influence on the Economic Viability of a Real Photovoltaic System Project," Energies, MDPI, vol. 16(6), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2672-:d:1095582
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2672/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/6/2672/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tiago Alves & João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Carlos A. F. Fernandes, 2021. "Different Techniques to Mitigate Partial Shading in Photovoltaic Panels," Energies, MDPI, vol. 14(13), pages 1-25, June.
    2. Carolina dos Santos Castilho & João Paulo N. Torres & Carlos A. Ferreira Fernandes & Ricardo A. Marques Lameirinhas, 2021. "Study on the Implementation of a Solar Photovoltaic System with Self-Consumption in an Educational Building," Energies, MDPI, vol. 14(8), pages 1-17, April.
    3. Sinke, Wim C., 2019. "Development of photovoltaic technologies for global impact," Renewable Energy, Elsevier, vol. 138(C), pages 911-914.
    4. Daniel Lugo-Laguna & Angel Arcos-Vargas & Fernando Nuñez-Hernandez, 2021. "A European Assessment of the Solar Energy Cost: Key Factors and Optimal Technology," Sustainability, MDPI, vol. 13(6), pages 1-25, March.
    5. Alonso Gutiérrez Galeano & Michael Bressan & Fernando Jiménez Vargas & Corinne Alonso, 2018. "Shading Ratio Impact on Photovoltaic Modules and Correlation with Shading Patterns," Energies, MDPI, vol. 11(4), pages 1-26, April.
    6. Romênia G. Vieira & Fábio M. U. de Araújo & Mahmoud Dhimish & Maria I. S. Guerra, 2020. "A Comprehensive Review on Bypass Diode Application on Photovoltaic Modules," Energies, MDPI, vol. 13(10), pages 1-21, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Catarina Pinho Correia Valério Bernardo & Sofia Lima Martins & Pedro Mendonça dos Santos & Helena Isabel Veiga & Maria João Marques Martins & Pa, 2023. "Analysis of Different Third-Generation Solar Cells Using the Discrete Electrical Model d1MxP," Energies, MDPI, vol. 16(7), pages 1-12, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ricardo A. Marques Lameirinhas & João Paulo N. Torres & João P. de Melo Cunha, 2022. "A Photovoltaic Technology Review: History, Fundamentals and Applications," Energies, MDPI, vol. 15(5), pages 1-44, March.
    2. João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Catarina P. Correia V. Bernardo & Helena Isabel Veiga & Pedro Mendonça dos Santos, 2023. "A Discrete Electrical Model for Photovoltaic Solar Cells—d1MxP," Energies, MDPI, vol. 16(4), pages 1-14, February.
    3. Hao Wu & Lin Zhou & Yihao Wan & Qiang Liu & Siyu Zhou, 2019. "A Mixed Uncertainty Power Flow Algorithm-Based Centralized Photovoltaic (PV) Cluster," Energies, MDPI, vol. 12(20), pages 1-16, October.
    4. João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Catarina Pinho Correia Valério Bernardo & Sofia Lima Martins & Pedro Mendonça dos Santos & Helena Isabel Veiga & Maria João Marques Martins & Pa, 2023. "Analysis of Different Third-Generation Solar Cells Using the Discrete Electrical Model d1MxP," Energies, MDPI, vol. 16(7), pages 1-12, April.
    5. Mahmoud Dhimish & Pavlos I. Lazaridis, 2022. "Approximating Shading Ratio Using the Total-Sky Imaging System: An Application for Photovoltaic Systems," Energies, MDPI, vol. 15(21), pages 1-16, November.
    6. Abdulhamid Atia & Fatih Anayi & Min Gao, 2022. "Influence of Shading on Solar Cell Parameters and Modelling Accuracy Improvement of PV Modules with Reverse Biased Solar Cells," Energies, MDPI, vol. 15(23), pages 1-19, November.
    7. Benedict Probst & Simon Touboul & Matthieu Glachant & Antoine Dechezleprêtre, 2021. "Global trends in the invention and diffusion of climate change mitigation technologies," Nature Energy, Nature, vol. 6(11), pages 1077-1086, November.
    8. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    9. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe & Ozturk, Ilhan, 2022. "Economics and policy implications of residential photovoltaic systems in Italy's developed market," Utilities Policy, Elsevier, vol. 79(C).
    10. Ali, Hayder & Khan, Hassan Abbas, 2020. "Techno-economic evaluation of two 42 kWp polycrystalline-Si and CIS thin-film based PV rooftop systems in Pakistan," Renewable Energy, Elsevier, vol. 152(C), pages 347-357.
    11. Andrea Marchioni & Carlo Alberto Magni & Davide Baschieri, 2020. "Investment and Financing Perspectives for a Solar Photovoltaic Project," MIC 2020: The 20th Management International Conference,, University of Primorska Press.
    12. Federico Minelli & Diana D’Agostino & Maria Migliozzi & Francesco Minichiello & Pierpaolo D’Agostino, 2023. "PhloVer: A Modular and Integrated Tracking Photovoltaic Shading Device for Sustainable Large Urban Spaces—Preliminary Study and Prototyping," Energies, MDPI, vol. 16(15), pages 1-35, August.
    13. Fonseca Alves, Ricardo Henrique & Deus Júnior, Getúlio Antero de & Marra, Enes Gonçalves & Lemos, Rodrigo Pinto, 2021. "Automatic fault classification in photovoltaic modules using Convolutional Neural Networks," Renewable Energy, Elsevier, vol. 179(C), pages 502-516.
    14. Dan Craciunescu & Laurentiu Fara, 2023. "Investigation of the Partial Shading Effect of Photovoltaic Panels and Optimization of Their Performance Based on High-Efficiency FLC Algorithm," Energies, MDPI, vol. 16(3), pages 1-28, January.
    15. Cheng-En Ye & Cheng-Chi Tai & Yu-Pei Huang, 2023. "Disperse Partial Shading Effect of Photovoltaic Array by Means of the Modified Complementary SuDoKu Puzzle Topology," Energies, MDPI, vol. 16(13), pages 1-16, June.
    16. Martin Spiller & Corinna Müller & Zara Mulholland & Paraskevi Louizidou & Frithjof C. Küpper & Kevin Knosala & Peter Stenzel, 2022. "Reducing Carbon Emissions from the Tourist Accommodation Sector on Non-Interconnected Islands: A Case Study of a Medium-Sized Hotel in Rhodes, Greece," Energies, MDPI, vol. 15(10), pages 1-24, May.
    17. Yun, Min Ju & Sim, Yeon Hyang & Lee, Dong Yoon & Cha, Seung I., 2022. "Reliable Lego®-style assembled stretchable photovoltaic module for 3-dimensional curved surface application," Applied Energy, Elsevier, vol. 323(C).
    18. Pablo Casado & José M. Blanes & Francisco Javier Aguilar Valero & Cristian Torres & Manuel Lucas Miralles & Javier Ruiz Ramírez, 2021. "Photovoltaic Evaporative Chimney I–V Measurement System," Energies, MDPI, vol. 14(24), pages 1-14, December.
    19. Mahmoud Dhimish & Yihua Hu & Nigel Schofield & Romênia G. Vieira, 2020. "Mitigating Potential-Induced Degradation (PID) Using SiO 2 ARC Layer," Energies, MDPI, vol. 13(19), pages 1-12, October.
    20. Brecl, Kristijan & Bokalič, Matevž & Topič, Marko, 2021. "Annual energy losses due to partial shading in PV modules with cut wafer-based Si solar cells," Renewable Energy, Elsevier, vol. 168(C), pages 195-203.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2672-:d:1095582. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.