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Outdoor Performance Tests of a HCPV Prototype
(*) Corresponding author
DOI: https://doi.org/10.15866/irecon.v6i4.15939
Abstract
Outdoor performance of a high concentrating photovoltaic (HCPV) system developed in this work has been investigated. In particular, the effect of three parameters namely wind speed, DNI and ambient temperature on the HCPV performance is explored. The tracking accuracy of the HCPV system is a crucial factor in the energy production related directly to the performance and closely depends on the acceptance angle of the HCPV module and the sun tracking control upon the abovementioned parameters. The acceptance angle of the HCPV module mounted on our HCPV system has been determined to be around 1.2°, deduced by studying the variation of the maximum pointing error from the solar source before the power drop. It is worth to mention that the HCPV system produces more than 94% of the excepted output power for a tracking error less than 1°. The tracking error in the range wind speed 6-8 m/s was found to reach an utmost deviation of 0.12° leading to 1% of power loss. Indeed, the outdoor tests of our HCPV prototype revealed variation of the maximum output power under different atmospheric conditions such as the ambient temperature and the direct normal irradiance (DNI). The maximum efficiency of the HCPV prototype has been determined around 23% according to a large range of DNI 0-850 W/m2. Taking into account the variation of the performance of our HCPV system versus the three parameters, The ASTM E2527 model has been implemented and its four coefficients have been determined to find the best accuracy of relationship between the three atmospheric parameters and maximum output power, simultaneously.
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References
A. L. Luque and A. Viachesla, Concentrator Photovoltaics, Springer Series in Optical Sciences (2007).
http://dx.doi.org/10.1007/978-3-540-68798-6
Twidell, J. Weir, T. and Weir, A. D., Renewable Energy Resources, Taylor & Francis (2005).
http://dx.doi.org/10.4324/9780203989302
L. Freris and D. Infield, Renewable energy in power systems, John Wiley & Sons (2008).
N. El Bassam and M. Preben, Renewable Energy Resources and Technologies, in Integrated Renewable Energy for Rural Communities, 2004, pp. 71-191.
http://dx.doi.org/10.1016/b978-044451014-3/50034-x
M. Tahri and M. Hakdaoui, The evaluation of solar farm locations applying geographic information system and multi-criteria decision-making methods: case study in Southern Morocco. Renewable and Sustainable Energy Reviews, Vol 51, pp.1354-1362, 2015.
http://dx.doi.org/10.1016/j.rser.2015.07.054
A. Svetlana, B. Christian and E. Manfred, The Impact of Cost Dynamics of Lithium-Ion Batteries on the Economics of Hybrid PV-Battery-Gas Turbine Plants and the Consequences for Competitiveness of Coal and Natural Gas-Fired Power Plants, 10th International Renewable Energy Storage Conference (IRES), March 2016.
Mills D. Advances in solar thermal electricity technology. Solar Energy, Vol 76(1-3), pp.19-31, 2004.
http://dx.doi.org/10.1016/s0038-092x(03)00102-6
MC. Scharber and NS. Sariciftci, Efficiency of bulk-heterojunction organic solar cells, Progress in Polymer Science, Vol. 38(12), pp. 1929-40, 2013.
http://dx.doi.org/10.1016/j.progpolymsci.2013.05.001
A. Martí, A. Luque, Next Generation Photovoltaics: High Efficiency through Full Spectrum Utilization, Series in Optics and Optoelectronics, 2003.
http://dx.doi.org/10.1201/9781420033861
M. Belkasmi, K. Bouziane, M. Akherraz, T. Sadiki, M. Faqir and M. Elouahabi, Improved dual-axis tracker using a fuzzy-logic based controller, 3rd International Renewable and Sustainable Energy Conference, pp. 1-5, 2015.
http://dx.doi.org/10.1109/irsec.2015.7455104
D. Chemisana, Building Integrated Concentrating Photovoltaics: A review, Renewable and Sustainable Energy Reviews, Vol. 15 (Issue 1), January 2011.
http://dx.doi.org/10.1016/j.rser.2010.07.017
A. Roger, C. Brian and W. Andy, Lightweight dual-axis tracker designs for dish-based HCPV, AIP Conference Proceedings, Vol. 1616, (1), pp. 220-223, 2014.
http://dx.doi.org/10.1063/1.4897065
P. Pérez-Higueras, E. Muñoz, G. Almonacid, P.G. Vidal, High Concentrator PhotoVoltaics efficiencies: Present status and forecast, Renewable and Sustainable Energy Reviews, Vol. 15 (Issue 4), May 2011.
http://dx.doi.org/10.1016/j.rser.2010.11.046
Narottam Das, Hendy Wongsodihardjo & Syed Islam, Modeling of multi-junction photovoltaic cell using MATLAB/Simulink to improve the conversion efficiency, Renewable Energy, Vol. 74, pp. 917-924, 2015.
http://dx.doi.org/10.1016/j.renene.2014.09.017
Chun W. N., Yue W. M., Sheng S. G., Study on characteristics of photovoltaic cells based on MATLAB simulation, 2011 Asia-Pacific Power and Energy Engineering Conference, IEEE, 2011.
http://dx.doi.org/10.1109/appeec.2011.5748713
A. Babiker Hussain, A. S. Abdalla, A. Sidi Mukhtar, M. Elamin, R. Alammari and A. Iqbal, Modeling and Simulation of Single and Triple Junction Solar Cell Using MATLAB/SIMULINK, International Journal of Ambient Energy, Vol 38 (issue 6), pp. 613-621, 2016.
http://dx.doi.org/10.1080/01430750.2016.1181567
C. Dominguez, I. Anton and G. Sala. Multijunction solar cell model for translating I–V characteristics as a function of irradiance, spectrum, and cell temperature, Progress in Photovoltaics: Research and Applications, Vol. 18(4), pp. 272-284, June 2010.
http://dx.doi.org/10.1002/pip.965
Gideon Segev, Gur Mittelman, and Abraham Kribus. Equivalent circuit models for triple-junction concentrator solar cells, Solar Energy Materials and Solar Cells. Vol. 98, pp. 57-65, March 2012.
http://dx.doi.org/10.1016/j.solmat.2011.10.013
D. L. King, W. E. Boyson and J. A. Kratochvil, Sandia National Laboratories. Photovoltaic array performance model SAND2004-3535, Albuquerque, New Mexico, USA, 2004.
http://dx.doi.org/10.2172/919131
Eduardo F. Fernández et al., Performance Analysis Of The Lineal Model For Estimating The Maximum Power Of A HCPV Module In Different Climate Conditions, 10th International Conference on Concentrator Photovoltaic Systems, AIP Conference Proceedings, Vol. 1616, pp. 187-190, 2014.
http://dx.doi.org/10.1063/1.4897057
M. Steiner, G. Siefer, T. Hornung, G. Peharz, A. Bett , YieldOpt, a model to predict the power output and energy yield for concentrating photovoltaic modules, Progress in Photovoltaics: research and applications, 2014.
http://dx.doi.org/10.1002/pip.2458
E. Fernández, F. Almonacid, Spectrally corrected direct normal irradiance based on artificial neural networks for high concentrator photovoltaic applications, Solar Energy, Vol. 97, pp. 12-18, 2013.
I. Luque-Heredia , G. Quéméré, R. Cervantes, O. Laurent, E. Chiappori and J. Ying Chong, The Sun Tracker in Concentrator Photovoltaics, Springer, pp. 61-93, 2014.
http://dx.doi.org/10.1007/978-3-642-23369-2_3
Belkasmi, M., Bouziane, K., Akherraz, M., El Ouahabi, M., Sadiki, T., Faqir, M., Sun Tracking Based on Hybrid Control with High Accuracy and Low Consumption, (2017) International Review of Automatic Control (IREACO), 10 (6), pp. 485-498.
http://dx.doi.org/10.15866/ireaco.v10i6.13376
R. Campesato, G. Gori, G. Gabetta, M. Casale, CPV infant mortality and Indoor characterization for high efficiency reliable solar cells, in CPV-9 Conference proceedings (2013).
http://dx.doi.org/10.1063/1.4822186
P. Pérez-Higueras, EF. Fernández, High Concentrator Photovoltaic: Fundamentals, Engineering and Power Plants, Springer International Publishing, 2015.
M. Belkasmi and M. K. Anaty, K. Bouziane, M. Akherraz, M. Elouahabi, T. Sadiki, M. Faqir, Study of the performance of a High concentrator photovoltaic module using three prediction models, 2016 International Renewable and Sustainable Energy Conference, pp. 243-248, 2016.
http://dx.doi.org/10.1109/irsec.2016.7984013
IEC 62108. Concentrator photovoltaic (CPV) modules and assemblies - Design qualification, 2016.
W. Jiunn-Chi and L. Wu-Chun , High accuracy sun-tracking using CCD and field test for PV system, AIP Conference Proceedings, Vol. 1556, pp. 214-217, September 2013.
http://dx.doi.org/10.1063/1.4822234
L. A. A. Bunthof, J. Bos-Coenraad, W. H. M. Corbeek, E. Vlieg, J. J. Schermer, The illumination angle dependency of CPV solar cell electrical performance. Solar Energy, Vol 144, pp.166-174, March 2017.
http://dx.doi.org/10.1016/j.solener.2017.01.026
Mousa, A., Abdel Aleem, S., Ibrahim, A., Mathematical Analysis of Maximum Power Points and Currents Based Maximum Power Point Tracking in Solar Photovoltaic System: a Solar Powered Water Pump Application, (2016) International Review of Electrical Engineering (IREE), 11 (1), pp. 97-108.
http://dx.doi.org/10.15866/iree.v11i1.8137
Abadi, I., Musyafa, A., Soeprijanto, A., Type-2 Fuzzy Logic Controller Based PV Passive Two-Axis Solar Tracking System, (2015) International Review of Electrical Engineering (IREE), 10 (3), pp. 390-398.
http://dx.doi.org/10.15866/iree.v10i3.6090
Mokhlis, M., Ferfra, M., Optimization of Photovoltaic Panels Efficiency Using a Backstepping Control Technique Under Partial Shading Conditions, (2017) International Review on Modelling and Simulations (IREMOS), 10 (6), pp. 437-446.
http://dx.doi.org/10.15866/iremos.v10i6.12495
Ajdid, R., Ouassaid, M., Maaroufi, M., Modeling and Simulation of a Novel Photovoltaic Solar System, (2017) International Journal on Energy Conversion (IRECON), 5 (6), pp. 171-179.
http://dx.doi.org/10.15866/irecon.v5i6.13802
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