Box - Behnken design to optimize the performance of a peak photovoltaic solar system
DOI:
https://doi.org/10.21754/tecnia.v21i2.1018Keywords:
Photovoltaic solar system, Box-Behnken, normal effects, response surfaceAbstract
The objective of the research was to design a Box Behnken system to optimize the performance of a peak photovoltaic solar system in the Mantaro Valley under conditions of high population density. For this, the system was located in a zone of moderate urban density in the city of Huancayo, Junín region, in the central region of Peru with coordinates 12 ° 03'29.0 "S 75 ° 13'12.9" W. Measurements were made in the regional summer season. The variables evaluated for optimization in the Behnken Box Design were: orientation, angle of inclination of the solar panel and time of exposure. Behavior was modeled using the response surface for single and combined variables, comparing the variation in the potential difference (V). The results showed that the variable of greatest significance for the potential variation was the angle of inclination, with a standardized effect of 3.48 and 95% significance. All the residuals of the factorial diagram were found within +0.8 and -0.8, indicating that the experimental procedure applying the Box Behnken method did not present outliers. It was concluded that it is possible to maximize the potential difference of a solar collection system in the Mantaro Valley, in an area of high urban density, prioritizing the angle of incidence of radiation.
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[2] P. Owusu y S. Asumadu-Sarkodie. “A review of renewable energy sources, sustainability issues and climate change mitigation”. Cogent Engineering, vol. 3, no. 1, pp. 1-14, 2016.
[3] J. Barbosa et al., “Estudio para el uso de la tecnología solar fotovoltaica”. Revista de la Universidad Cooperativa de Colombia., vol. 6, no. 1, pp. 1–13, 2010.
[4] G. Arencibia-Carballo, “La importancia del uso de paneles solares en la generación de energía eléctrica.”, REDVET. Revista Electrónica de Veterinaria, vol. 17, no. 9, pp. 1–4, 2016.
[5] D. Li et al., “Box-Behnken experimental design for investigation of microwave-assisted extracted sugar beet pulp pectin. Carbohydrate”. Polymers, vol. 88, no. 1, pp. 342–346, 2012.
[6] G. Box, J. Hunter, y W. Hunter, Estadística para investigadores. Madrid, MA, España: Reverté, 2008.
[7] D. Montgomery, Diseño y análisis de experimentos. México DF, MX, México: Limusa Wiley, 2004.
[8] J. Zolgharnein et al., “Comparative study of Box-Behnken, central composite, and Doehlert matrix for multivariate optimization of Pb (II) adsorption onto Robinia tree leaves”. Journal of Chemometrics, vol. 27, no. 1, pp. 12–20, 2013.
[9] H. Gutiérrez y R. De la Vara, Análisis y diseño de experimentos. México DF, MX, México: Mc Graw Hill, 2008
[10] B. Tak et al., “Optimization of color and COD removal from livestock wastewater by electrocoagulation process: Application of Box-Behnken design (BBD)”. Journal of Industrial and Engineering Chemistry, vol. 28, no. 1, pp. 307–315, 2015.
[11] G. Swamyet al., “Response surface modeling and process optimization of aqueous extraction of natural pigments from Beta vulgaris using Box-Behnken design of experiments”. Dyes and Pigments, vol. 111, no. 1, pp. 64–74, 2014.
[12] S. Escoda, Libro Blanco de las Energías Renovables. México DF, MX, México: ESCODA S.A., 2018.
[13] A. Jaramillo et al., “Diseño Box-Behnken para la optimización de la adsorción del colorante azul ácido sobre residuos de flores.”. Ingeniería y Ciencia, vol. 9, no. 18, pp. 75–91, 2013.
[14] J. Maran et al., “Box-Behnken design based multi-response analysis and optimization of supercritical carbon dioxide extraction of bioactive flavonoid compounds from tea (Camellia sinensis L.) leaves”. Journal of Food Science and Technology, vol. 52, no. 1, pp. 92–104, 2015.
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