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Photovoltaic System Design and Performance

Author

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  • Wilfried van Sark

    (Utrecht University, Copernicus Institute, Princetonlaan 8a, 3584 CB Utrecht, The Netherlands)

Abstract

This editorial summarizes the collection of papers in the Special Issue entitled Photovoltaic System Design and Performance, which was published in MDPI’s Energies journal. Papers on this topic were submitted in 2017 and 2018, and a total of 21 papers were published. Main topics included data analysis for optimal performance and fault analysis, causes for energy loss, and design and integration issues. The papers in this Special Issue demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure maintaining good performance.

Suggested Citation

  • Wilfried van Sark, 2019. "Photovoltaic System Design and Performance," Energies, MDPI, vol. 12(10), pages 1-6, May.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1826-:d:230969
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    References listed on IDEAS

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    1. Sun-Hee Kim & Soon-Jong Yoon & Wonchang Choi, 2017. "Design and Construction of 1 MW Class Floating PV Generation Structural System Using FRP Members," Energies, MDPI, vol. 10(8), pages 1-14, August.
    2. Silvano Vergura, 2018. "Hypothesis Tests-Based Analysis for Anomaly Detection in Photovoltaic Systems in the Absence of Environmental Parameters," Energies, MDPI, vol. 11(3), pages 1-18, February.
    3. Bala Bhavya Kausika & Panagiotis Moraitis & Wilfried G. J. H. M. Van Sark, 2018. "Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries," Energies, MDPI, vol. 11(6), pages 1-10, May.
    4. Petru Adrian Cotfas & Daniel Tudor Cotfas & Paul Nicolae Borza & Dezso Sera & Remus Teodorescu, 2018. "Solar Cell Capacitance Determination Based on an RLC Resonant Circuit," Energies, MDPI, vol. 11(3), pages 1-13, March.
    5. Ricardo Conceição & Hugo G. Silva & José Mirão & Manuel Collares-Pereira, 2018. "Organic Soiling: The Role of Pollen in PV Module Performance Degradation," Energies, MDPI, vol. 11(2), pages 1-13, January.
    6. S. Zahra Mirbagheri Golroodbari & Arjen. C. De Waal & Wilfried G. J. H. M. Van Sark, 2018. "Improvement of Shade Resilience in Photovoltaic Modules Using Buck Converters in a Smart Module Architecture," Energies, MDPI, vol. 11(1), pages 1-19, January.
    7. Mohammed J. Alshayeb & Jae D. Chang, 2018. "Variations of PV Panel Performance Installed over a Vegetated Roof and a Conventional Black Roof," Energies, MDPI, vol. 11(5), pages 1-14, May.
    8. Kristijan Brecl & Marko Topič, 2018. "Photovoltaics (PV) System Energy Forecast on the Basis of the Local Weather Forecast: Problems, Uncertainties and Solutions," Energies, MDPI, vol. 11(5), pages 1-12, May.
    9. Stefan Baschel & Elena Koubli & Jyotirmoy Roy & Ralph Gottschalg, 2018. "Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance," Energies, MDPI, vol. 11(6), pages 1-16, June.
    10. Tong Kang & Jiangang Yao & Min Jin & Shengjie Yang & ThanhLong Duong, 2018. "A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models," Energies, MDPI, vol. 11(5), pages 1-31, April.
    11. Liying Huang & Dongyuan Qiu & Fan Xie & Yanfeng Chen & Bo Zhang, 2017. "Modeling and Stability Analysis of a Single-Phase Two-Stage Grid-Connected Photovoltaic System," Energies, MDPI, vol. 10(12), pages 1-14, December.
    12. Waithiru Charles Lawrence Kamuyu & Jong Rok Lim & Chang Sub Won & Hyung Keun Ahn, 2018. "Prediction Model of Photovoltaic Module Temperature for Power Performance of Floating PVs," Energies, MDPI, vol. 11(2), pages 1-13, February.
    13. Panagiotis Moraitis & Bala Bhavya Kausika & Nick Nortier & Wilfried Van Sark, 2018. "Urban Environment and Solar PV Performance: The Case of the Netherlands," Energies, MDPI, vol. 11(6), pages 1-14, May.
    14. Gabriele C. Eder & Yuliya Voronko & Christina Hirschl & Rita Ebner & Gusztáv Újvári & Wolfgang Mühleisen, 2018. "Non-Destructive Failure Detection and Visualization of Artificially and Naturally Aged PV Modules," Energies, MDPI, vol. 11(5), pages 1-14, April.
    15. 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.
    16. Timo Kropp & Markus Schubert & Jürgen H. Werner, 2018. "Quantitative Prediction of Power Loss for Damaged Photovoltaic Modules Using Electroluminescence," Energies, MDPI, vol. 11(5), pages 1-14, May.
    17. Odysseas Tsafarakis & Kostas Sinapis & Wilfried G. J. H. M. Van Sark, 2018. "PV System Performance Evaluation by Clustering Production Data to Normal and Non-Normal Operation," Energies, MDPI, vol. 11(4), pages 1-19, April.
    18. Qiang Zhao & Shuai Shao & Lingxing Lu & Xin Liu & Honglu Zhu, 2018. "A New PV Array Fault Diagnosis Method Using Fuzzy C-Mean Clustering and Fuzzy Membership Algorithm," Energies, MDPI, vol. 11(1), pages 1-21, January.
    19. Carlos Robles Algarín & John Taborda Giraldo & Omar Rodríguez Álvarez, 2017. "Fuzzy Logic Based MPPT Controller for a PV System," Energies, MDPI, vol. 10(12), pages 1-18, December.
    20. Isabel Santiago & David Trillo Montero & Juan J. Luna Rodríguez & Isabel M. Moreno Garcia & Emilio J. Palacios Garcia, 2017. "Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain," Energies, MDPI, vol. 10(12), pages 1-26, November.
    21. Luís F. N. Lourenço & Renato M. Monaro & Maurício B. C. Salles & José R. Cardoso & Loïc Quéval, 2018. "Evaluation of the Reactive Power Support Capability and Associated Technical Costs of Photovoltaic Farms’ Operation," Energies, MDPI, vol. 11(6), pages 1-19, June.
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    Cited by:

    1. Joel Alpízar-Castillo & Victor Vega-Garita & Nishant Narayan & Laura Ramirez-Elizondo, 2023. "Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications," Energies, MDPI, vol. 16(14), pages 1-16, July.
    2. Giovanni Cipriani & Antonino D’Amico & Stefania Guarino & Donatella Manno & Marzia Traverso & Vincenzo Di Dio, 2020. "Convolutional Neural Network for Dust and Hotspot Classification in PV Modules," Energies, MDPI, vol. 13(23), pages 1-17, December.
    3. Nuria Novas & Alfredo Alcayde & Isabel Robalo & Francisco Manzano-Agugliaro & Francisco G. Montoya, 2020. "Energies and Its Worldwide Research," Energies, MDPI, vol. 13(24), pages 1-41, December.
    4. Rui Li & Fangyuan Shi & Xu Cai & Haibo Xu, 2019. "Influence of Parasitic Parameters on DC–DC Converters and Their Method of Suppression in High Frequency Link 35 kV PV Systems," Energies, MDPI, vol. 12(19), pages 1-24, September.

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