Analysis of outlet temperature of parabolic trough collector solar water heater using machine learning techniques

Abstract

The green sources of energy are ocean, hydro, solar, tidal, wave, wind, biomass, etc. Among all these wind, solar and hydro are mainly used. Particularly, solar energy has various applications such as atmospheric energy balance studies, solar energy collecting systems, analysis of the thermal load on buildings, etc. Parabolic trough collector (PTC) based solar water heater (SWH) gains a significant role in water heating systems. Parabolic trough collector is a concentrating type collector which collects the solar radiation in copper tube placed in the focal point of the parabolic trough. It also generates a high temperature which is suitable for steam generation. The main goal of this paper is to predict the outlet temperature of parabolic trough collector solar water heater with time and temperature for different days using various machine learning techniques.