Effects of using a porous disk on the dynamic features of phase change process with PCM integrated circular pipe during nano-liquid forced convection in discharging operation mode

Siavashi, 2019, Numerical analysis of mixed convection of two-phase non-newtonian nanofluid flow inside a partially porous square enclosure with a rotating cylinder, J Therm Anal Calorim, 137, 267, 10.1007/s10973-018-7945-9 Siavashi, 2018, Optimization of heat transfer enhancement and pumping power of a heat exchanger tube using nanofluid with gradient and multi-layered porous foams, Appl Therm Eng, 138, 465, 10.1016/j.applthermaleng.2018.04.066 Guerroudj, 2010, Mixed convection in a channel provided with heated porous blocks of various shapes, Energy Convers Manag, 51, 505, 10.1016/j.enconman.2009.10.015 Poulikakos, 1987, Forced convection in a duct partially filled with a porous material, J Heat Transf, 109, 653, 10.1115/1.3248138 Chikh, 1995, Analytical solution of non-Darcian forced convection in an annular duct partially filled with a porous medium, Int J Heat Mass Transf, 38, 1543, 10.1016/0017-9310(94)00295-7 Rashidi, 2018, Applications of nanofluids in condensing and evaporating systems, J Therm Anal Calorim, 131, 2027, 10.1007/s10973-017-6773-7 Saffarian, 2020, Heat transfer enhancement in a flat plate solar collector with different flow path shapes using nanofluid, Renew Energy, 146, 2316, 10.1016/j.renene.2019.08.081 Bozorg, 2020, CFD study of heat transfer and fluid flow in a parabolic trough solar receiver with internal annular porous structure and synthetic oil–Al2o3 nanofluid, Renew Energy, 145, 2598, 10.1016/j.renene.2019.08.042 Riaz, 2021, Entropy generation and MHD analysis of a nanofluid with peristaltic three dimensional cylindrical enclosures, Int J Numer Methods Heat Fluid Flow, 10.1108/HFF-11-2020-0704 Esfahani, 2017, Influences of wavy wall and nanoparticles on entropy generation over heat exchanger plat, Int J Heat Mass Transf, 109, 1162, 10.1016/j.ijheatmasstransfer.2017.03.006 Arshad, 2017, Graphene nanoplatelets nanofluids thermal and hydrodynamic performance on integral fin heat sink, Int J Heat Mass Transf, 107, 995, 10.1016/j.ijheatmasstransfer.2016.10.127 Selimefendigil, 2020, Identification of pulsating flow effects with CNT nanoparticles on the performance enhancements of thermoelectric generator (TEG) module in renewable energy applications, Renew Energy, 162, 1076, 10.1016/j.renene.2020.07.071 Mahian, 2019, Recent advances in modeling and simulation of nanofluid flows-part i: fundamentals and theory, Phys Rep, 790, 1, 10.1016/j.physrep.2018.11.004 Esfe, 2017, Experimental evaluation, sensitivity analyzation and ANN modeling of thermal conductivity of ZnO-MWCNT/EG-water hybrid nanofluid for engineering applications, Appl Therm Eng, 125, 673, 10.1016/j.applthermaleng.2017.06.077 Rashidi, 2019, A concise review on the role of nanoparticles upon the productivity of solar desalination systems, J Therm Anal Calorim, 135, 1145, 10.1007/s10973-018-7500-8 Gholamalipour, 2019, Eccentricity effects of heat source inside a porous annulus on the natural convection heat transfer and entropy generation of cu-water nanofluid, Int Commun Heat Mass Transf, 109, 104367, 10.1016/j.icheatmasstransfer.2019.104367 Selimefendigil, 2021, Performance assessment of a thermoelectric module by using rotating circular cylinders and nanofluids in the channel flow for renewable energy applications, J Clean Prod, 279, 123426, 10.1016/j.jclepro.2020.123426 Sheremet, 2015, Three-dimensional natural convection in a porous enclosure filled with a nanofluid using Buongiorno mathematical model, Int J Heat Mass Transf, 82, 396, 10.1016/j.ijheatmasstransfer.2014.11.066 Baïri, 2019, Experimental study on enhancement of free convective heat transfer in a tilted hemispherical enclosure by using Water-ZnO nanofluid saturated porous materials, Appl Therm Eng, 148, 992, 10.1016/j.applthermaleng.2018.11.115 Sheremet, 2016, Mhd free convection in a wavy open porous tall cavity filled with nanofluids under an effect of corner heater, Int J Heat Mass Transf, 103, 955, 10.1016/j.ijheatmasstransfer.2016.08.006 Kasaeian, 2017, Nanofluid flow and heat transfer in porous media: a review of the latest developments, Int J Heat Mass Transf, 107, 778, 10.1016/j.ijheatmasstransfer.2016.11.074 Mahdi, 2015, Review of convection heat transfer and fluid flow in porous media with nanofluid, Renew Sustain Energy Rev, 41, 715, 10.1016/j.rser.2014.08.040 Li, 2018, Energy investigation of glazed windows containing nano-PCM in different seasons, Energy Convers Manag, 172, 119, 10.1016/j.enconman.2018.07.015 Mahdi, 2019, Hybrid heat transfer enhancement for latent-heat thermal energy storage systems: a review, Int J Heat Mass Transf, 137, 630, 10.1016/j.ijheatmasstransfer.2019.03.111 Sharma, 2009, Review on thermal energy storage with phase change materials and applications, Renew Sustain Energy Rev, 13, 318, 10.1016/j.rser.2007.10.005 Saman Rashidi, 2020, Organic phase change materials Darzi, 2016, Melting and solidification of PCM enhanced by radial conductive fins and nanoparticles in cylindrical annulus, Energy Convers Manag, 118, 253, 10.1016/j.enconman.2016.04.016 Sheikholeslami, 2019, Enhancement of PCM solidification using inorganic nanoparticles and an external magnetic field with application in energy storage systems, J Clean Prod, 215, 963, 10.1016/j.jclepro.2019.01.122 Mousavi, 2019, Numerical melting performance analysis of a cylindrical thermal energy storage unit using nano-enhanced PCM and multiple horizontal fins, Numer Heat Transf Part A, 75, 560, 10.1080/10407782.2019.1606634 Arıcı, 2017, Melting of nanoparticle-enhanced paraffin wax in a rectangular enclosure with partially active walls, Int J Heat Mass Transf, 104, 7, 10.1016/j.ijheatmasstransfer.2016.08.017 Mohammadnejad, 2020, A CFD modeling and investigation of a packed bed of high temperature phase change materials (PCMs) with different layer configurations, J Energy Storage, 28, 101209, 10.1016/j.est.2020.101209 Nield, 2013 Comsol. Comsol user’s guide; 2018. Wakao, 1979, Effect of fluid dispersion coefficients on particle-to-fluid heat transfer coefficients in packed beds: correlation of nusselt numbers, Chem Eng Sci, 34, 325, 10.1016/0009-2509(79)85064-2 Liu, 2018, Effects of nanoparticle shapes on laminar forced convective heat transfer in curved ducts using two-phase model, Int J Heat Mass Transf, 116, 292, 10.1016/j.ijheatmasstransfer.2017.08.097 Timofeeva, 2009, Particle shape effects on thermophysical properties of alumina nanofluids, J Appl Phys, 106, 014304, 10.1063/1.3155999 Nguyen, 2007, Heat transfer enhancement using Al2O3–water nanofluid for an electronic liquid cooling system, Appl Therm Eng, 27, 1501, 10.1016/j.applthermaleng.2006.09.028 Wolff, 1988, Solidification of a pure metal at a vertical wall in the presence of liquid superheat, Int J Heat Mass Transf, 31, 1735, 10.1016/0017-9310(88)90285-2 Motahar, 2020, Transient heat transfer analysis of a phase change material heat sink using experimental data and artificial neural network, Appl Therm Eng, 167, 114817, 10.1016/j.applthermaleng.2019.114817 Rostami, 2020, Forecasting the thermal conductivity of a nanofluid using artificial neural networks, J Therm Anal Calorim, 1 Kalani, 2017, Using artificial neural network models and particle swarm optimization for manner prediction of a photovoltaic thermal nanofluid based collector, Appl Therm Eng, 113, 1170, 10.1016/j.applthermaleng.2016.11.105 Ghahdarijani, 2017, Convective heat transfer and pressure drop study on nanofluids in double-walled reactor by developing an optimal multilayer perceptron artificial neural network, Int Commun Heat Mass Transf, 84, 11, 10.1016/j.icheatmasstransfer.2017.03.014 Alizadeh, 2021, A machine learning approach to predicting the heat convection and thermodynamics of an external flow of hybrid nanofluid, J Energy Resour Technol, 143, 10.1115/1.4049454 Kalogirou, 2000, Applications of artificial neural-networks for energy systems, Appl Energy, 67, 17, 10.1016/S0306-2619(00)00005-2 Haykin, 2000, Neural networks: a guided tour, Nonlinear Biomed Signal Process, 1, 53 Yu, 2006, An efficient hidden layer training method for the multilayer perceptron, Neurocomputing, 70, 525, 10.1016/j.neucom.2005.11.008 Nallusamy, 2007, Experimental investigation on a combined sensible and latent heat storage system integrated with constant/varying (solar) heat sources, Renew Energy, 32, 1206, 10.1016/j.renene.2006.04.015 Saeid, 2004, Transient free convection in a square cavity filled with a porous medium, Int J Heat Mass Transf, 47, 1917, 10.1016/j.ijheatmasstransfer.2003.10.014 Baytaş, 2000, Entropy generation for natural convection in an inclined porous cavity, Int J Heat Mass Transf, 43, 2089, 10.1016/S0017-9310(99)00291-4