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


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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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:

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:

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:

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:


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