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Application of Minimum Energy Effect to Numerical Reconstruction of Insolation Curves

Author

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  • Dusan Maga

    (Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Telecommunication Engineering, Technická 1902/2, Praha 6, CZ-166 27 Prague, Czech Republic)

  • Jaromir Hrad

    (Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Telecommunication Engineering, Technická 1902/2, Praha 6, CZ-166 27 Prague, Czech Republic)

  • Jiri Hajek

    (Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Telecommunication Engineering, Technická 1902/2, Praha 6, CZ-166 27 Prague, Czech Republic)

  • Akeel Othman

    (Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Telecommunication Engineering, Technická 1902/2, Praha 6, CZ-166 27 Prague, Czech Republic)

Abstract

Increasing the efficiency of the solar energy harvesting system is an urgent need in light of the climate changes we live in nowadays. The most significant data to be processed in the photovoltaic harvesters are the curve of solar radiation intensity to achieve the maximum benefits of the solar incident light. This processing contains complicated procedures, and the used algorithms are also high computational power-consuming which makes using special software and high potential hardware essential requirements. An explanation of the Minimum Energy Effect method is presented in this article. Our proposed algorithm uses this method to provide a simple and high-accuracy mathematical tool for generating a simple alternative curve instead of the complicated original nonlinear curve of solar radiation intensity. The produced curve is suitable for further operations, such as derivatives, integrals, or even simple addition/subtraction. Our algorithm provides a gradual procedure to find an optimum solution of the equation system, unlike the iterative methods. In addition, the results of analyzing the effect of time-division density showed the relationship between the speed of solving the task and the accuracy of results.

Suggested Citation

  • Dusan Maga & Jaromir Hrad & Jiri Hajek & Akeel Othman, 2021. "Application of Minimum Energy Effect to Numerical Reconstruction of Insolation Curves," Energies, MDPI, vol. 14(17), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5313-:d:622936
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    References listed on IDEAS

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    1. Labed, S. & Lorenzo, E., 2004. "The impact of solar radiation variability and data discrepancies on the design of PV systems," Renewable Energy, Elsevier, vol. 29(7), pages 1007-1022.
    2. Fateh, Haiyan & Baker, Chad A. & Hall, Matthew J. & Shi, Li, 2014. "High fidelity finite difference model for exploring multi-parameter thermoelectric generator design space," Applied Energy, Elsevier, vol. 129(C), pages 373-383.
    3. Zervas, P.L. & Sarimveis, H. & Palyvos, J.A. & Markatos, N.C.G., 2008. "Prediction of daily global solar irradiance on horizontal surfaces based on neural-network techniques," Renewable Energy, Elsevier, vol. 33(8), pages 1796-1803.
    4. Andrea Gilioli & Francesco Cadini & Luca Abbiati & Giulio Angelo Guido Solero & Massimo Fossati & Andrea Manes & Lino Carnelli & Carla Lazzari & Stefano Cardamone & Marco Giglio, 2021. "Finite Element Modelling of a Parabolic Trough Collector for Concentrated Solar Power," Energies, MDPI, vol. 14(1), pages 1-26, January.
    5. Seyed Abbas Mousavi Maleki & H. Hizam & Chandima Gomes, 2017. "Estimation of Hourly, Daily and Monthly Global Solar Radiation on Inclined Surfaces: Models Re-Visited," Energies, MDPI, vol. 10(1), pages 1-28, January.
    6. Sabin Sathyan & Ugur Aydin & Anouar Belahcen, 2020. "Acoustic Noise Computation of Electrical Motors Using the Boundary Element Method," Energies, MDPI, vol. 13(1), pages 1-13, January.
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