Decision Tree Based Approach to Control the Efficiency of a Hybrid PV/T Solar System in Bangladesh

  • Mohammad Nasim American International University—Bangladesh (AIUB)
  • Miftah Al Karim American University of Technology Bangladesh
  • Saiful Islam Khan American International University—Bangladesh
  • Md. Hasib Noor American International University—Bangladesh (AIUB)
Keywords: 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.

Downloads

Download data is not yet available.

Author Biographies

Mohammad Nasim, American International University—Bangladesh (AIUB)

Mohammad Nasim completed his B.Sc. in Mechanical Engineering from Islamic University of Technology (IUT) in 2009. He received Erasmus Mundus Scholarship in European Masters in Engineering Rheology (EURHEO) and completed his Masters from Univerza v Ljubljana (Slovenia), Universidade do Minho (Portugal) and Université Catholique de Louvain (Belgium). Most recently, he has been serving American International University—Bangladesh (AIUB) as a lecturer in the department of Electrical and Electronics Engineering. His research interests include renewable energy, polymer processing and characterization, materials for automotive, shear and extensional rheology, aeronautical and biomedical application, rheology for melts, solid state rheology, supramolecular assembled polymer. E-mail: nasim@aiub.edu

Miftah Al Karim, American University of Technology Bangladesh

Miftah Al Karim received his M.Sc. from KTH Royal Institute of Technology, Sweden and bachelor degree from Islamic University of Technology (IUT), Bangladesh. Currently he is working as a faculty member at American University of Technology Bangladesh. Before that he worked as a research engineer at the department of Industrial Information and Control Systems at KTH and also as a product engineer at the department of Transmission Networks at the Huawei Technologies BD Ltd. His research interests are application of data mining in power system analysis, renewable energy technologies, electricity market analysis, power system optimization, intelligent energy management systems etc. E-mail: miftah@aiub.edu

Saiful Islam Khan, American International University—Bangladesh

Saiful Islam Khan is currently working in American International University—Bangladesh as a lecturer. He received his M.Sc. degree in Biomedical Engineering from Tampere University of Technology, Tampere, Finland with a major in Medical Instrumentation and minor in Biomaterials. He received his B.Sc. degree in Electrical and Electronic Engineering from Ahsanullah University of Science and Technology, Dhaka, Bangladesh. Currently his research focus is in medical electronics, sensor and biosensor technology, and other interdisciplinary research work related to polymer, material and biomaterials, renewable energy systems etc. E-mail: saifkhan@aiub.edu

Md. Hasib Noor, American International University—Bangladesh (AIUB)

Md. Hasib Noor currently has been working as a Faculty of Electrical and Electronic Engineering Department of American International University—Bangladesh (AIUB). He has completed his graduation at Electrical and Electronic Engineering from Islamic University of Technology (IUT), Gazipur, Dhaka, Bangladesh. He has completed his Masters from Telematics Engineering from UPC (Barcelona) and UC3M (Madrid), Spain with full Spanish Govt. funding. He also completed MBA from IBA, Dhaka University of Bangladesh. He is involved in a number of research areas like Advanced Communication Network, Smart grid (Distribution network), Data Mining, Engineering Management, etc. Email: hasibnoor@aiub.edu

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 ConsumerCharacterization 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, România.

Section
Articles