Decision Tree Based Approach to Control the Efficiency of a Hybrid PV/T Solar System in Bangladesh
DOI:
https://doi.org/10.13052/dgaej2156-3306.3212Keywords:
Solar cogeneration, solar CHP, PV/T hybrid system, solar energy, PV panel, data mining, decision tree, PVT improvement.Abstract
The Hybrid PV/T solar system is a combination of the photovoltaic
(PV) module with a solar thermal collector. The system can provide electrical and thermal energies; and therefore increase both the total energy
output and the overall system efficiency. For the experiment, a modified
PV/T solar system was set with a water heat exchanger; so that excess
heat, which is generated in the system and can hinder the PV module
electrical efficiency, is removed upon reaching an optimal temperature.
At the same time, the thermal efficiency can be improved. Further analysis has been carried out using the statistical correlation method and decision tree based data mining approach.
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References
Tripanagnostopoulos Y., Aspects and improvements of hybrid photovoltaic/thermal solar energy systems. Solar Energy 81(9), 2007, pp. 1117–1131.
Kalogirou S.A., Tripanagnostopoulos Y., Hybrid PV/T solar systems for domestic
hot water and electricity production. Energy Conversion and Management 47, 2006,
pp. 3368–3382.
Kern E.C. Jr and Russel M.C., Combined photovoltaics and thermal hybrid collector
systems, Proc. of 13th IEEE Photovoltaic Specialists, Washington DC, USA, 1978, pp.
-1157.
Florschuetz L.W., Extention of the Hottel—Whillier model to the analysis of combined photovoltaic/thermal flat plate collectors. Solar Energy 22, 1979, pp. 361-366.
Raghuraman P., Analytical Predictions of liquid and air Photovoltaic/Thermal, flatplate collector performance. Journal of Solar Energy Engineering Vol 103, 1981, pp.
-298.
Lalovic B., A hybrid amorphous silicon photovoltaic and thermal solar collector.
Solar Cells 19, 1986-87, pp. 131-138.
Garg H.P. and Agarwal P.K., Some aspects of a PV/T collector/forced circulation
flat plate solar water heater with solar cells. Energy Conversion. Management 36, 1995,
pp.87-99.
Bergene T. and Lovvik O.M., Model calculations on a flat-plate solar heat collector
with integrated solar cells. Solar Energy 55, 1995, pp. 453-462.
Tripanagnostopoulos Y., Nousia Th., Souliotis M. and Yianoulis P., Hybrid
Photovoltaic/Thermal solar systems. Solar Energy Vol 72, 3, 2002, pp 217-234.
Tripanagnostopoulos Y., Tzavellas D., Zoulia I. and Chortatou M., Hybrid PV/T
systems with dual heat extraction operation. In Proc. 17th PV Solar Energy Conference
Munich, 22-26 Oct, 2001, pp 2515-2518.
Tselepis S. and Tripanagnostopoulos Y., Economic analysis of hybrid photovoltaic/
thermal solar systems and comparison with standard PV modules. In Proc. Int. Conf.
PV in Europe 7-11 Oct. Rome, Italy, 2002, pp. 856-859.
Tripanagnostopoulos, Y., Nousia, Th., Souliotis, M., Low cost improvements to
building integrated air cooled hybrid PV-Thermal systems, In: Proceedings of 16th
European PV Solar Energy Conference, Glasgow, UK, 1–5 May, 2002, vol. II, pp. 1874-
Chow T.T., A review on photovoltaic/thermal hybrid solar technology, Applied Energy 87,
, pp: 365–379.
Xindong Wu, Kumar V., Quinlan J. R., Ghosh J, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Steinbach M.,
David J. Hand, Dan Steinberg, Top 10 algorithms in data mining. Springer-Verlag
London Limited, 2007, Know Inf. Syst, 2008, Vol.14 pp: 1–37.
Krzysztof J. Cios, Pedrycz W., Roman W. Swiniarski, Lukasz A. Kurgan, ‘Data Mining A Knowledge Discovery Approach’. 2007, ISBN 978-0-387-36795-8.
Yi Zhang; Tomsovic, K., “Real-Time Transient Instability Detection Based on Decision Trees,” Intelligent System Applications to Power Systems, 2009. ISAP ‘09. 15th
International Conference on, 2009, vol., no., pp.1,6, 8-12.
Figueiredo V., Rodrigues F., Vale Z. and Gouveia J.B., An Electric Energy Consumer Characterization Framework Based on Data Mining Techniques. IEEE Transactions
on Power Systems, 2005, Vol. 20, No. 2.
Gao O. and Rovnyak S.M., Decision Trees Using Synchronized Phasor Measurements for Wide-Area Response-Based Control, IEEE Transactions on Power Systems,
, Vol. 26, No. 2.
Al Karim M., Chenine M., Kun Zhu, Nordstrom L., Synchrophasor-based data mining for power system fault analysis. Innovative Smart Grid Technologies (ISGT Europe),
rd IEEE PES International Conference and Exhibition, 2012, pp. 1,8, 14-17.
Ioan Viorel Banu, Răzvan Beniugă, Marcel Istrate, Study on Temperature for Modeling of Photovoltaic Solar Array using Experimental Test Data. 5th International Conference on Modern Power Systems MPS 2013, 28-31 May 2013, Cluj-Napoca,