Hydrogen energy storage optimization in solar-HVAC using Sutterby nanofluid via Koo-Kleinstreuer and Li (KKL) correlations model: A solar thermal application

Abstract

The purpose of this paper is to explore the behavior of Sutterby nanofluid passed a sloping sheet with a tendency to fluctuate thermal conductivity, radiation and a magnetic field. In a solar parabolic trough collector (PTC) for solar cooling and hydrogen generation, a nanofluid is employed as the running fluid. The Koo-Kleinstreuer-Li (KKL) model is used to calculate effective thermal conductivity and viscosity. The advance results are differentiate with the Lobatto 111A method which strengthens the integration reliability of the current liquid system. Copper oxide-engine oil (CuO-EO) is taken into consideration to address the performance analysis of the current study. The skin coefficient and the local Nusselt number are expressed numerically in the form of a table, whereas other dominant competent parameters on the speed and temperature profiles are discussed numerically and graphically. The radiation parameter slows the rate of heat transfer while increasing the velocity gradient. To test the effect on many device performance parameters, nanoparticle absorption also varies with the growth of Reynolds and Brinkman numbers, entropy creates growth. The thermodynamic action of copper oxide-engine oil (CuO-EO) nanofluid is more noticeable than engine oil (EO) nanofluid oil under similar conditions. CuO-based EO nanofluid system had the best heat transmission efficiency and hydrogen generation. The thermal effectiveness of CuO-EO over EO is characterized by a minimum of 2.89% and a magnitude of 14.79%. Written theory simulations may be more effective in developing solar thermal energy systems.