SGRE  Vol.6 No.3 , March 2015
Metrological Analysis of Sunflower Prototype
ABSTRACT
It is well known that the solar tracking systems can increase the efficiency of the photovoltaic (PV) panel by about 30 percent. However, these systems require precise control of their components, mainly of the equipment’s used for the measurement of energy. In this paper, a metrology analysis is conducted, through of the results obtained by Sunflower prototype. The Sunflower is a solar tracking system developed by H. J. Loschi. A tracking system through a microcontrolled timing logic, sending commands to a linear actuator that moves the system. The deductions, based on in research trials, confirms that the Sunflower prototype is more efficient in relation to fixed PV panels, it is possible to observe the difference in the efficiency of 31%, with a variation of ±0.8% (that depends the solar irradiation). The main purpose of this paper is to attest to the quality of the measurements carried out during the performance tests of the Sunflower prototype, evaluating the uncertainty of measurements collected through the measurements equipment, and, introducing methods to minimize uncertainties of measurement equipment in the PV systems.

Cite this paper
Loschi, H. , Iano, Y. , Ferrarezi, R. , Ferrarezi, N. and Conte, F. (2015) Metrological Analysis of Sunflower Prototype. Smart Grid and Renewable Energy, 6, 41-47. doi: 10.4236/sgre.2015.63004.
References
[1]   Taymanov, R. and Sapozhnikova, K. (2010) Metrological Self-Check and Evolution of Metrology. Measurement, 43, 869-877.
http://dx.doi.org/10.1016/j.measurement.2010.04.004

[2]   Pavese, F. (2009) About the Treatment of Systematic Effects in Metrology. Measurement, 42, 1459-1462.
http://dx.doi.org/10.1016/j.measurement.2009.07.017

[3]   Loschi, H., Ferrarezi, R. and Rocha, N. (2014) Solar Tracking System Installed with Photovoltaic (PV) Panels to Connection Grid Tie Low Voltage (Sunflower). Energy and Power, 4, 49-53.

[4]   Loschi, H. (2013) Sistema de Rastreamento Solar Instalado em Módulo com Painéis Fotovoltaicos para Conexao “Grid Tie” de Baixa Tensao. Universidade Paulista—UNIP, Sao Paulo.

[5]   Naeem, W. (2012) Concepts in Electric Circuits. Belfast, Northern Ireland, 1-87.

[6]   Kessel, W. (2002) Measurement Uncertainty According to ISO/BIPM-GUM. Thermochimica Acta, 382, 1-16.
http://dx.doi.org/10.1016/S0040-6031(01)00729-8

[7]   Joint Committee for Guides in Metrology (JCGM) (2008) Evaluation of Measurement Data: Guide to the Expression of Uncertainty in Measurement. Geneva.

[8]   Bich, W., Cox, M.G. and Harris, P.M. (2006) ISO Guide to the Expression of Uncertainty in Measurement. Metrologia, 43, S161-S166.
http://dx.doi.org/10.1088/0026-1394/43/4/S01

[9]   Theodorou, D., Meligotsidou, L., Karavoltsos, S., Burnetas, A., Dassenakis, M. and Scoullos, M. (2011) Comparison of ISO-GUM and Monte Carlo Methods for the Evaluation of Measurement Uncertainty: Application to Direct Cadmium Measurement in Water by GFAAS. Talanta, 83, 1568-1574.
http://dx.doi.org/10.1016/j.talanta.2010.11.059

[10]   Beltrán, J., Munuzuri, J., Rivas, M. and González, C. (2010) Metrological Management Evaluation Based on ISO10012: An Empirical Study in ISO-14001-Certified Spanish Companies. Energy, 35, 140-147.
http://dx.doi.org/10.1016/j.energy.2009.09.004

[11]   Prat, M. and Desanlis, T. (1998) Metrological Analysis of a High Current Measurement System. 1998 Conference on Precision Electromagnetic Measurements Digest, Washington DC, 6-10 July 1998, 1-2.

[12]   Lombard, B. (2006) Estimation of Measurement Uncertainty in Food Microbiology: The ISO Approach. Accreditation and Quality Assurance, 11, 94-100.
http://dx.doi.org/10.1007/s00769-005-0085-5

[13]   Borkowski, J. and Mroczka, J. (2002) Metrological Analysis of the LIDFT Method. IEEE Transactions on Instrumentation and Measurement, 51, 67-71.
http://dx.doi.org/10.1109/19.989903

 
 
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