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Enhancement of output power of semitransparent photovoltaic thermal air collector using ANFIS model

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Abstract

The paper aims to develop a model using adaptive neuro-fuzzy inference system (ANFIS) architecture for enhancing output power of semitransparent photovoltaic thermal (PV/T) air collector by predicting the failure of PV panels for different weather conditions and different climate zones. Increased temperature of the photovoltaic module is a big problem which reduces its working life. The working and hotspot temperatures of photovoltaic (PV) modules have been reduced using ANFIS-based thermal design with optimal placement of PV cells which increase their life and reduce the failure rate which in turn increase the output power. The overall analysis reveals that output power is enhanced using ANFIS-based model by minimizing absolute error to 1.4% in 100 epochs by predicting accurate parameters.

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Data Availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

αc :

Absorptivity of solar cell

βo :

Temperature coefficient of efficiency

bdx:

Bottom insulation length

τg :

Transmissivity of glass

ho :

Top loss heat coefficient

βc :

Packing factor of cell

Tc :

Cell temperature

△T :

Temperature difference between solar cell and ambient

Ta :

Ambient temperature

I(t):

Incident solar radiation

ηc :

Cell efficiency

hgi :

Overall heat transfer coefficient from solar cell to ambient through glass cover

ηel :

Electrical efficiency of semitransparent PVT air collector

Tb :

Bottom insulation temperature

ηth :

Thermal efficiency of semitransparent PVT air collector

R i :

Thermal resistance of Ei in perfect placement

ηo :

Efficiency of semitransparent PVT air collector at standard test condition

R ij :

Coupling thermal resistance between Ei and Ej

αb :

Absorptivity of bottom insulation

W i :

Power dissipation in Ei

hf :

Heat transfer coefficient in duct

ab :

Total modules in an array (Nos.)

Tf :

Outlet air temperature of duct

θ pi :

Temperature rise of Ei due to heat dissipation of other modules

hb :

Heat transfer coefficient for bottom insulation to ambient

θ i :

Junction temperature rise of Ei

\(\dot{m_a}\) :

Mass flow rate

θj :

Junction temperature rise of Ej

Ca :

Specific heat of air

A pi :

Constant, weight given to Rei and Wj

Ub :

Overall back loss coefficient from flowing air to ambient

B pi :

Constant, weight given to Rei

F(t; T):

Failure time distribution function

γi :

Positive constant, weight given to θpi

λ(T):

Failure rate

Ea :

Activation energy

A:

Acceleration factor due to temperature

K:

Rate constant

R:

Universal gas constant

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Acknowledgements

The authors acknowledge Prof. GN Tiwari, Ex-Professor, IIT Delhi, India, and Prof. Sanjay Agarwal for providing literature and suggestions in the field of PV/T air collector.

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Authors and Affiliations

  1. Jaypee Institute of Information Technology, Noida, UP, India

    Ruby Beniwal & Hari Om Gupta

  2. Bundelkhand Institute of Engineering & Technology, Jhansi, UP, India

    Narendra Singh Beniwal

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  1. Ruby Beniwal
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  2. Narendra Singh Beniwal
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  3. Hari Om Gupta
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Contributions

Ruby Beniwal did the mathematical modeling of semitransparent PV/T air collector. She also designed ANFIS model with detailed methodology and was a major contributor in writing the manuscript. NS Beniwal did thermal design analysis. HO Gupta along with R. Beniwal and NS Beniwal analyzed and interpret the results. All authors read and approved the final manuscript.

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Correspondence to Ruby Beniwal.

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Beniwal, R., Beniwal, N.S. & Gupta, H.O. Enhancement of output power of semitransparent photovoltaic thermal air collector using ANFIS model. Environ Sci Pollut Res 29, 44378–44390 (2022). https://doi.org/10.1007/s11356-022-18521-7

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