IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v354y2024ipas0306261923015222.html
   My bibliography  Save this article

A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants

Author

Listed:
  • Rediske, Graciele
  • Michels, Leandro
  • Siluk, Julio Cezar Mairesse
  • Rigo, Paula Donaduzzi
  • Rosa, Carmen Brum
  • Lima, Andrei Cunha

Abstract

As photovoltaic plants (PV) age, the need for efficient monitoring of operations & maintenance (O&M) increases, helping to understand the situation of the plant, identify problems and propose solutions for future strategies. In this context, the objective of this paper is to propose a set of key performance indicators (KPIs), responsable to evaluate O&M performance in PV power plants, considering their importance and complexity mensuration levels. After refining and validating a set of KPIs using Delphi method with industry specialists, the KPIs are classified by energy performance assessment and O&M services assessment. Subsequently, the levels of importance and complexity of measurement are evaluated with stepwise weight assessment ratio analysis (SWARA) method. Finally, after obtaining this information, an importance-complexity matrix is developed, thus contemplating the proposed set of KPIs. This study presents a comprehensive set of 25 KPIs capable of quantitatively measuring the O&M performance of a PV plant. The results show that the KPIs, Performance Ratio and Spare Parts Availability are the most important in this evaluation, and KPI Contractual Availability presents greater complexity in measuring its parameters. Based on the importance-complexity matrix, it is possible to verify that the KPI, Schedule Compliance stands out compared to the others, presenting a high level of importance and a low level of complexity in its measurement. The information resulting from this study seeks to help PV plant managers to select the appropriate KPIs to measure the status of the O&M management of the PV plant.

Suggested Citation

  • Rediske, Graciele & Michels, Leandro & Siluk, Julio Cezar Mairesse & Rigo, Paula Donaduzzi & Rosa, Carmen Brum & Lima, Andrei Cunha, 2024. "A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants," Applied Energy, Elsevier, vol. 354(PA).
    • Handle: RePEc:eee:appene:v:354:y:2024:i:pa:s0306261923015222
    DOI: 10.1016/j.apenergy.2023.122158
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923015222
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.122158?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Heinrich, Matthias & Meunier, Simon & Samé, Allou & Quéval, Loïc & Darga, Arouna & Oukhellou, Latifa & Multon, Bernard, 2020. "Detection of cleaning interventions on photovoltaic modules with machine learning," Applied Energy, Elsevier, vol. 263(C).
    2. Carazas, F.G. & Souza, G.F.M., 2010. "Risk-based decision making method for maintenance policy selection of thermal power plant equipment," Energy, Elsevier, vol. 35(2), pages 964-975.
    3. Dobaria, Bhaveshkumar & Pandya, Mahesh & Aware, Mohan, 2016. "Analytical assessment of 5.05 kWp grid tied photovoltaic plant performance on the system level in a composite climate of western India," Energy, Elsevier, vol. 111(C), pages 47-51.
    4. Kijo-Kleczkowska, Agnieszka & Bruś, Paweł & Więciorkowski, Grzegorz, 2022. "Profitability analysis of a photovoltaic installation - A case study," Energy, Elsevier, vol. 261(PB).
    5. Peters, Lennart & Madlener, Reinhard, 2017. "Economic evaluation of maintenance strategies for ground-mounted solar photovoltaic plants," Applied Energy, Elsevier, vol. 199(C), pages 264-280.
    6. Huerta Herraiz, Álvaro & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2020. "Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure," Renewable Energy, Elsevier, vol. 153(C), pages 334-348.
    7. Puthearath Chan, 2022. "An Empirical Study on Data Validation Methods of Delphi and General Consensus," Data, MDPI, vol. 7(2), pages 1-16, January.
    8. Khalid Almutairi & Ali Mostafaeipour & Ehsan Jahanshahi & Erfan Jooyandeh & Youcef Himri & Mehdi Jahangiri & Alibek Issakhov & Shahariar Chowdhury & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahab, 2021. "Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    9. Phinikarides, Alexander & Kindyni, Nitsa & Makrides, George & Georghiou, George E., 2014. "Review of photovoltaic degradation rate methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 143-152.
    10. Adolfo Crespo Márquez & Antonio de la Fuente Carmona & Sara Antomarioni, 2019. "A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency," Energies, MDPI, vol. 12(18), pages 1-25, September.
    11. AL-Rasheedi, Majed & Gueymard, Christian A. & Al-Khayat, Mohammad & Ismail, Alaa & Lee, Jared A. & Al-Duaj, Hamad, 2020. "Performance evaluation of a utility-scale dual-technology photovoltaic power plant at the Shagaya Renewable Energy Park in Kuwait," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    12. Gabriele Roggi & Alessandro Niccolai & Francesco Grimaccia & Marco Lovera, 2020. "A Computer Vision Line-Tracking Algorithm for Automatic UAV Photovoltaic Plants Monitoring Applications," Energies, MDPI, vol. 13(4), pages 1-15, February.
    13. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    14. Fuster-Palop, Enrique & Vargas-Salgado, Carlos & Ferri-Revert, Juan Carlos & Payá, Jorge, 2022. "Performance analysis and modelling of a 50 MW grid-connected photovoltaic plant in Spain after 12 years of operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    15. Aly, Ahmed & Bernardos, Ana & Fernandez-Peruchena, Carlos M. & Jensen, Steen Solvang & Pedersen, Anders Branth, 2019. "Is Concentrated Solar Power (CSP) a feasible option for Sub-Saharan Africa?: Investigating the techno-economic feasibility of CSP in Tanzania," Renewable Energy, Elsevier, vol. 135(C), pages 1224-1240.
    16. Milton Fonseca Junior & Ubiratan Holanda Bezerra & Jandecy Cabral Leite & Jorge Laureano Moya Rodríguez, 2017. "Maintenance Tools applied to Electric Generators to Improve Energy Efficiency and Power Quality of Thermoelectric Power Plants," Energies, MDPI, vol. 10(8), pages 1-21, July.
    17. Adar, Mustapha & Najih, Youssef & Gouskir, Mohamed & Chebak, Ahmed & Mabrouki, Mustapha & Bennouna, Amin, 2020. "Three PV plants performance analysis using the principal component analysis method," Energy, Elsevier, vol. 207(C).
    18. Ullah, Asad & Amin, Amir & Haider, Turab & Saleem, Murtaza & Butt, Nauman Zafar, 2020. "Investigation of soiling effects, dust chemistry and optimum cleaning schedule for PV modules in Lahore, Pakistan," Renewable Energy, Elsevier, vol. 150(C), pages 456-468.
    19. Singh, Rashmi & Sharma, Madhu & Yadav, Kamlesh, 2022. "Degradation and reliability analysis of photovoltaic modules after operating for 12 years: A case study with comparisons," Renewable Energy, Elsevier, vol. 196(C), pages 1170-1186.
    20. Dias, César Luiz de Azevedo & Castelo Branco, David Alves & Arouca, Maurício Cardoso & Loureiro Legey, Luiz Fernando, 2017. "Performance estimation of photovoltaic technologies in Brazil," Renewable Energy, Elsevier, vol. 114(PB), pages 367-375.
    Full references (including those not matched with items on IDEAS)

    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. Abdulla, Hind & Sleptchenko, Andrei & Nayfeh, Ammar, 2024. "Photovoltaic systems operation and maintenance: A review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).
    2. Li, B. & Delpha, C. & Diallo, D. & Migan-Dubois, A., 2021. "Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Adar, Mustapha & Najih, Youssef & Gouskir, Mohamed & Chebak, Ahmed & Mabrouki, Mustapha & Bennouna, Amin, 2020. "Three PV plants performance analysis using the principal component analysis method," Energy, Elsevier, vol. 207(C).
    4. Micheli, Leonardo & Theristis, Marios & Talavera, Diego L. & Almonacid, Florencia & Stein, Joshua S. & Fernández, Eduardo F., 2020. "Photovoltaic cleaning frequency optimization under different degradation rate patterns," Renewable Energy, Elsevier, vol. 166(C), pages 136-146.
    5. Ameur, Arechkik & Berrada, Asmae & Bouaichi, Abdellatif & Loudiyi, Khalid, 2022. "Long-term performance and degradation analysis of different PV modules under temperate climate," Renewable Energy, Elsevier, vol. 188(C), pages 37-51.
    6. Sebastian Fredershausen & Henrik Lechte & Mathias Willnat & Tobias Witt & Christine Harnischmacher & Tim-Benjamin Lembcke & Matthias Klumpp & Lutz Kolbe, 2021. "Towards an Understanding of Hydrogen Supply Chains: A Structured Literature Review Regarding Sustainability Evaluation," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    7. Micheli, Leonardo & Theristis, Marios & Talavera, Diego L. & Almonacid, Florencia & Stein, Joshua S. & Fernandez, Eduardo F., 2020. "Photovoltaic Cleaning Frequency Optimization Under Different Degradation Rate Patterns," MPRA Paper 105008, University Library of Munich, Germany, revised 07 Oct 2020.
    8. Dhaouadi, Rached & Al-Othman, Amani & Aidan, Ahmed A. & Tawalbeh, Muhammad & Zannerni, Rawan, 2021. "A characterization study for the properties of dust particles collected on photovoltaic (PV) panels in Sharjah, United Arab Emirates," Renewable Energy, Elsevier, vol. 171(C), pages 133-140.
    9. Bouaichi, Abdellatif & El Amrani, Aumeur & Ouhadou, Malika & Lfakir, Aberrazak & Messaoudi, Choukri, 2020. "In-situ performance and degradation of three different photovoltaic module technologies installed in arid climate of Morocco," Energy, Elsevier, vol. 190(C).
    10. Hassan Z. Al Garni, 2022. "The Impact of Soiling on PV Module Performance in Saudi Arabia," Energies, MDPI, vol. 15(21), pages 1-25, October.
    11. Domenech, B. & Ferrer-Martí, L. & Pastor, R., 2015. "Including management and security of supply constraints for designing stand-alone electrification systems in developing countries," Renewable Energy, Elsevier, vol. 80(C), pages 359-369.
    12. Trigo-González, Mauricio & Batlles, F.J. & Alonso-Montesinos, Joaquín & Ferrada, Pablo & del Sagrado, J. & Martínez-Durbán, M. & Cortés, Marcelo & Portillo, Carlos & Marzo, Aitor, 2019. "Hourly PV production estimation by means of an exportable multiple linear regression model," Renewable Energy, Elsevier, vol. 135(C), pages 303-312.
    13. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    14. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    15. Segovia Ramírez, Isaac & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2022. "A novel approach to optimize the positioning and measurement parameters in photovoltaic aerial inspections," Renewable Energy, Elsevier, vol. 187(C), pages 371-389.
    16. Nawaz Edoo & Robert T. F. Ah King, 2021. "Techno-Economic Analysis of Utility-Scale Solar Photovoltaic Plus Battery Power Plant," Energies, MDPI, vol. 14(23), pages 1-22, December.
    17. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    18. Atsu, Divine & Seres, Istvan & Aghaei, Mohammadreza & Farkas, Istvan, 2020. "Analysis of long-term performance and reliability of PV modules under tropical climatic conditions in sub-Saharan," Renewable Energy, Elsevier, vol. 162(C), pages 285-295.
    19. P. Giovani Palafox-Alcantar & Dexter V. L. Hunt & Chris D. F. Rogers, 2020. "A Hybrid Methodology to Study Stakeholder Cooperation in Circular Economy Waste Management of Cities," Energies, MDPI, vol. 13(7), pages 1-30, April.
    20. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Optimization design of BCHP system to maximize to save energy and reduce environmental impact," Energy, Elsevier, vol. 35(8), pages 3388-3398.

    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:eee:appene:v:354:y:2024:i:pa:s0306261923015222. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.