Thermal growth in solar water pump using Prandtl–Eyring hybrid nanofluid: a solar energy application

Abstract

Nowadays, with the advantages of nanotechnology and solar radiation, the research of Solar Water Pump (SWP) production has become a trend. In this article, Prandtl–Eyring hybrid nanofluid (P-EHNF) is chosen as a working fluid in the SWP model for the production of SWP in a parabolic trough surface collector (PTSC) is investigated for the case of numerous viscous dissipation, heat radiations, heat source, and the entropy generation analysis. By using a well-established numerical scheme the group of equations in terms of energy and momentum have been handled that is called the Keller-box method. The velocity, temperature, and shear stress are briefly explained and displayed in tables and figures. Nusselt number and surface drag coefficient are also being taken into reflection for illustrating the numerical results. The first finding is the improvement in SWP production is generated by amplification in thermal radiation and thermal conductivity variables. A single nanofluid and hybrid nanofluid is very crucial to provide us the efficient heat energy sources. Further, the thermal efficiency of MoS2–Cu/EO than Cu–EO is between 3.3 and 4.4% The second finding is the addition of entropy is due to the increasing level of radiative flow, nanoparticles size, and Prandtl–Eyring variable.

Swimming of microbes in entropy optimized nano‐bioconvective flow of Prandtl–Erying fluid

“…The feature C f is detected to upsurge for greater magnitudes of W 1 , whilst an opposite fashion is noted for larger values of W 2 . These results concur with several appraisals comprising Abdelmalek et al, 24 Jamshed et al, 25 and Ullah et al 27 …”

“…T A B L E 2 Comparative outcomes of present assessment with Ishak et al, 58 Hayat et al, 59 Jamshed et al, 25 Qureshi, 60 and Shamshuddin et al 6 Prn Ishak et al 58 Hayat et al 59 Jamshed et al 25 Qureshi 60 Shamshuddin et al 6 Present results out through a bar diagram (see Figure 4.). Note that, the experimental validation of this finite difference method was uncovered by Rana et al 13…”

Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction

“…Moreover, fossil fuels are non-renewable, so they are bound to deplete in the near future. On the other hand, solar energy serves as a great alternative to fossil fuels as they are clean and renewable energy 5 , 6 , thus helping in reducing carbon emissions 7 , 8 . Many countries with great technology advancement have already taken the initiative to develop technologies and machines that could harness energy from the sun.…”

Interaction of multi-walled carbon nanotubes in mineral oil based Maxwell nanofluid

“…In conjunction with thermal radiation, the energy Eq. ( 13 ) yields to where represents radiative heat flux and formulated by Rosseland approximation as 22 , 23 Here is the Stefan–Boltzman coefficient and represents the absorption coefficient. Assume that the difference inside the flow domain is small enough such that can be expanded about using the Taylor series as …”