Convective heat loss prediction from conical cavity receiver of solar parabolic dish collector using numerical method and artificial neural network

Abstract

In this work, detailed investigations of convection heat loss from conical cavity receiver of solar parabolic dish collector using a numerical method and artificial neural network have been performed. The convective heat loss from the cavity receiver is primarily influenced by geometrical parameters, receiver orientation, and wind characteristics. The heat loss estimation is carried out by considering wind speed (V = 0–10 m/s), wind direction ($\mathrm{\psi }$ = 90$°$ and −90$°$), receiver tilt ($\gamma$ = 0–90$°$), diameter to height ratio (d/h = 0.5–1.5), and surface temperature (T_s = 500–800 K). The utmost heat loss occurs at a tilt of 60$°$ for d/h < 1 and 75$°$ for d/h $\ge$ 1 in head-on high wind speed, while in back-on high wind speed, it occurs at a tilt of 30$°$ for all d/h values. The heat loss is lowest at 90° for V > 4 m/s. The d/h value of 0.5 performs well compared to other values. Further, the correlation for the Nusselt number has been proposed for the conical cavity receiver.

Keywords:

• Artificial neural networks
• conical cavity receiver
• convective heat loss
• numerical modeling
• parabolic dish collector

Additional information

Funding

The financial support provided by the Department of Science and Technology (DST), Government of India, Grant ID: DST/TMD/CERI/RES/2020/14(C) is duly acknowledged.