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Experimental investigation and optimization of sand-coated solar air collector parameters by fuzzy-MCDM integrated decision approach

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Abstract

A sand-coated solar air collector (SCSAC) is simulated and optimized using an integrated expert technique fuzzy C-Means Takagi–Sugeno–Kang fuzzy logic technique for order preference by similarity to ideal solution (FCM-TSK-FL-TOPSIS) for climatic conditions of Bangalore rural, Southern part of India. In this study, the FCM method was used to cluster the experimental dataset, and TSK-FL is used to predict the optimal experimental data, while TOPSIS is applied in order to optimize SAC input and output parameters. Different governing characteristics are taken into account as input parameters, such as air mass flow rate, collector tilt angle, solar radiation, and ambient temperature, while thermal efficiency, temperature rise, and pressure drop are output parameters. Initially, the input parameters of a sand-coated SAC are varied in order to conduct experiments. Finally, results are revealed from the integrated method for sand-coated SAC experimental optimal input setting as 0.010 kgs−1 mass flow rate, 933.7 Wm−2 solar radiation, 35.33 °C temperature inlet and corresponding output optimal parameters such as temperature rise is 61.4 °C, energy efficiency 34.48%, and pressure drop of 6.86 Pa. This integrated method is beneficial for researchers who are engaged in the optimization of solar thermal systems and industries applications which involve drying, heating, etc.

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Abbreviations

\(A_{{\text{c}}}\) :

Collector cross-section area in m2

\(c_{{\text{p}}}\) :

Specific heat of air at constant pressure kJkg−1 K−1

\(I_{{\text{s}}}\) :

Solar radiation Wm−2

\(L\) :

Length of collector m

\(m\) :

Mass flow rate of air kgs−1

\(\Delta P\) :

Pressure drop Pa

\(Q_{{{\text{ab}}}}\) :

Useful energy gain W

\(Q_{{\text{s}}}\) :

Energy incident on collector W

\(T_{1}\) :

Inlet temperature °C

\(T_{2}\) :

Outlet temperature °C

\(\Delta T\) :

Rise in temperature °C

\(W\) :

Width of collector m

\(w_{1} ,w_{2}\) :

Uncertainties in x

\(W_{{\text{R}}}\) :

Total uncertainty %

\(x\) :

Independent variables

\(\eta_{{{\text{ee}}}}\) :

Energy efficiency %

\(\Delta\) :

Deviation

\(a\) :

Air

\(c\) :

Collector

\(ee\) :

Energy efficiency

\(1\) :

Inlet

\(2\) :

Outlet

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Authors and Affiliations

  1. Mechanical Engineering Department, NIT, Silchar, India

    Jagannath Reddy & B. Das

  2. SQC & OR Unit, Indian Statistical Institute Bangalore Center, Bangalore, India

    Jagadish

  3. Department of Mechanical Engineering, University of Idaho, Moscow, ID, USA

    B. Das

  4. Department of Mechanical Engineering, Chandigarh University (CU), Gharuan, Mohali, Punjab, 140413, India

    Suman Debnath

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  1. Jagannath Reddy
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Reddy, J., Jagadish, Das, B. et al. Experimental investigation and optimization of sand-coated solar air collector parameters by fuzzy-MCDM integrated decision approach. J Therm Anal Calorim 148, 5543–5556 (2023). https://doi.org/10.1007/s10973-023-12114-3

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