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

Article Type

Research Article

Publication Title

Journal of Thermal Analysis and Calorimetry

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.

First Page

5543

Last Page

5556

DOI

https://10.1007/s10973-023-12114-3

Publication Date

6-1-2023

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