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Abstract In this proposed research are analyzed generalsolutions and techniques to optimize the solar luminosity measurement by a designed smart system, as well as its usability by the solar energy conversion and its storing. However, many times, this kind of systems have not an optimal solar path tracker and as a consequence it can not be measured the full solar luminosity during all the day, therefore, in this work are designed optimal mathematical models and algorithms to enhance the solar path tracker according to measure solar luminosity and getting optimal solar energy conversion/storing, which is useful to study geographical conditions before to build solar energy conversion centers. As well as, in this research also is studied and suggested some techniques to get wireless data communication regarding the measured environmental variables, measured solar luminosity and stored electrical energy as a consequence of the solar energy conversion, which can be transmitted, so far away, to a central monitoring center by Radio Frequency (RF) waves. Key words: Solar path tracker, transducers, nanostructures, Modulating Function (MF), wireless data transmission, smart sensors, energy-saving.
References [5] Razika Tala-Ighil. Nanomaterials in Solar Cells. Handbook of Nanoelectrochemistry (2015). [6] Landau L. D., Lifshitz E. M. Theory of elasticity, course of theoretical physics, volume 7. Institute of physical problems, USSR academy of science (1959). [7] Feynman Richard, Leighton Robert, Sands Matthew. The Feynman lectures on physics, volume I. New millennium editors (1962). [8] Person A. E., Aerodynamic parameter estimation via Fourier modulating function techniques, Brown University , NASA Contractor Report 4654, (1995). [9] Magueijo Joao. New Varying Speed of Light Theories. The Blackett Laboratory, Imperial College ofScience,Technology and Medicine South Kensington, London SW72BZ, UK. 2003 [10] Unzicker Alexander, Presuss Jan. A Machian Version of Einstein’s Variable Speed of Light Theory. München Germany. 2015 [11] Calderón Ch. J. Alan, Tafur S. Julio C., Barriga G. E. Benjamín, Lozano J. John H., Gallo T. Dante J. Randal, Urbizagástegui T. Rodrigo A., Zeña D. Jaime E. and Gózar P. Christian E. Optimal Analysis for the Correlation between Vibration and Temperature through an Intelligent Sensor/Transducer Based in Amorphous Nanostructures to Measure Vibrating Surfaces Temperature. IntechOpen (2022). |
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