Prediction of Solar Photovoltaic/Thermal (PV/T) Collector Power Output Using Fuzzy Logic

[+] Author and Article Information
Sridharan M.

Assistant Professor/Mechanical Saranathan college of Engineering

Jayaprakash G.

Professor and Head/Mechanical Saranathan college of Engineering

Chandrasekar M.

Assistant Professor/Mechanical Anna University of Technology

Vigneshwar P.

Assistant Professor/Mechanical Saranathan college of Engineering

Paramaguru S.

Assistant Professor/Mechanical Saranathan college of Engineering

Amarnath K.

Assistant Professor/Mechanical Saranathan college of Engineering

1Corresponding author.

ASME doi:10.1115/1.4040757 History: Received November 29, 2017; Revised June 25, 2018


In recent years solar PV/T water collectors has been identified as one of the most promising hybrid devices. It is a combination of solar PV and solar FPC systems capable of generating electrical and thermal power simultaneously. This study presents a model which predicts solar PV/T collector power output using fuzzy logic techniques. A fuzzy logic model was established to predict power output of PV/T with respect to changes in input process and FPC output power. Membership functions were allocated in connection with each model input. Experimental tests conducted during the month of December 2016 are compared with the developed fuzzy model to verify predicted results. The results indicate an agreement between fuzzy model and experimental results with accuracy of 94.38% and error of 5.62%.

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