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IRJET- Effect of Volume Concentration on Various Thermo-Physical Properties of the Cuo Nanofluid in Solar Flat Plate Collector
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1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3831 Effect of Volume Concentration on Various Thermo-Physical Properties of the CuO Nanofluid in Solar Flat Plate Collector S. Qadri1, Aqib Hussain Mir2 1,2Department of Mechanical Engineering, National Institute of Technology, Srinagar, J&K, India, 190006 ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract – Present study carries out a theoretical analysisfor calculating various thermo-physical properties of nano fluids in flat plate collector. The water based Copper oxide (CuO) nanofluid is used as a working fluid. A mathematical model and a program, written in MATLAB code were used for calculating the thermo-physical properties of the fluid. The results showed that with the increase in the volume concentration of the nanoparticle, the density, viscosity and thermal conductivity increased whereas the specific heat decreased. The Nusselt number increased with the increase in volume concentration. However at the same volume concentration, Nusselt number increased with the diameterof nanoparticle in the base water. Key Words: Flat plate collector, Thermophysical properties, Mathematical Model, MATLAB, Nusselt number. 1. INTRODUCTION The flat platecollector forms the heartofanysolarenergy collection system designed for operation in the low temperature range, from ambient to 60˚C, or the medium temperaturerange, fromambientto100˚C.Asolarcollectoris a special kind of heat exchanger that transfers the radiant energy of the incident sunlight to the sensible heat of a working fluid-liquid or air.Theinventionoftheliquidheating flat plate solar water heater is credited to H.B Saussure, during the second half of the seventeenth century [4].Flat Plate collectors have the following advantages over other types of solar energy collectors: (i) Absorb direct, diffuse and reflected components of solar radiation (ii) Are fixed in tilt and orientation and, thus, there is no need of tracking the sun, (iii) Are easy to make and are low in cost, (iv) Have comparatively low maintenance cost and long life, (v) Operate at comparatively high efficiency. 1.1 Objectives of the Study The objectives of the current study are: 1. To develop a mathematical model and MATLAB Code for evaluating various parameters. 2. To study the effect of volume concentration of nanoparticles on various Thermo-physical properties of the nanofluid. 1.2 LITERATURE REVIEW Morcos [1] developed a mathematical model for calculating the total solar radiation on a tilted surface. The model was then used to determine optimum tilt angles for a flat plate collector and the optimum tilt angle and surface azimuth angles for concentrating solar collectors on a daily basis, as well as for a specified period. Saraf et al. [2] developed a mathematical model for calculating the useful energy gained by a flat plate collector under various operating conditions. The model was then used to determine the optimum tilt angles for a typical collector in Basrah on a daily basis, as well as on the basis of a specified period. The optimum tilt angle was found by searching its value for which the useful energy gained bythe collector is a maximum for a particular day or a specified period. From the results, it was observed that changing the tilt angle eight times in a year determines the useful energy in Basrah near its value which is found by changing the tilt angle daily to its optimum value. Choi and Eastman [3] studied low thermal conductivity is a primary limitation in the development of energy-efficient heat transfer fluids that are required in many industrial applications. They proposed that an innovative new class of heat transfer fluids can be engineered by suspending metallic nanoparticles in conventional heat transfer fluids. The thermal conductivity of metallic liquids is much greater than that of nonmetallic liquids. Therefore, the thermal conductivities of fluids that containsuspendedsolidmetallic particles were enhanced when compared with conventional heat transfer fluids. Yimin and Wilfried [4] described nanofluid as a solid-liquid mixture in which metallic or nonmetallic nanoparticles are suspended. The suspended ultrafine particles change transport properties and heat transfer performance of the nanofluid, which exhibits a great potential inenhancingheat transfer. The mechanismofheattransfer enhancementof the nanofluid was investigated. Based on the assumption that the nanofluid behaves more like a fluid rather than a conventional solid-fluid mixture, two different approaches for deriving heat transfer correlation of the nanofluid were developed.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3832 2. Methodology 2.1 Estimation of Heat transfer coefficient and Nusselt number Li and Xuan [5] proposed the general form of Nusselt number relating to nanofluids for a laminar (Re < 2300) by the following relations: In the above equations, the dimensionless numbers are given by Reynolds number: Peclet number Prandtl number Where V is the mean flow velocity, is the diameter of nanoparticle, and are the dynamic viscosity and specific heat capacity of nanofluid respectively. Thermal diffusivity and density of the nanofluidaregiven by [3] as Where is thevolumeconcentrationofnanoparticles, is the density of nanoparticle, is the density of base fluid. The dimensionless numbers defining Nusselt number are a function of thermo-physical properties of nanofluid (viscosity , specific heat capacity, , thermal conductivities , ,and density, ). There are various correlations available for estimating the thermo-physical properties of nanofluids. Azmi et al. (2010) [28] developed the regression equations for estimation of nanofluids properties such as and as a function ofvolume concentration, , particle size, and temperature . The regression equation for nanofluid viscosity, considering the particle size, concentration and temperature applicable for is given by: The regression equation for nanofluid thermal conductivity, considering the particle size concentration andtemperature applicable for is given by: The regression equation for nanofluid specific heat, considering the particle volume concentration and temperature applicable for is given by: Where the subscript and refer to water and nanofluid respectively. Using the above relations, the thermo-physical properties of nanofluid defining the dimensionlessnumbers (Re, Pe, Pr, and Nu) were calculated as a function of particle volume concentration for different nanoparticle sizes in a nanofluid. These dimensionless numbers are used to obtain the Nusselt number of nanofluid. 3. Results and discussion 3.1 Variation of Density of nanofluid that with the increase in the volume concentration of the nanoparticle from 0.1 to 3.5% ,the nanofluid density increases from 983 kg/m3 to 1170 kg/m3 for differentsize of particles. It can also be seen from the figure that density of nanofluid is independent of the size of particle. Fig -1: Variation of Density with volume concentration 3.2 Variation of Specific Heat of Nanofluid Fig. 2 shows that with the increase in in the volume concentration of the nano particle from 0.1 to 3.5%, the nanofluid specific heat decreases from 4069 J/kgm3 to 3633 J/kgm3 for different size of particles. The figure also shows that the specific heat of nanofluid is independent of the size of particle.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3833 Fig -2: Variation of specific heat with volume concentration 3.3 Thermal conductivity of Nanofluid Fig. 3 shows that the thermal conductivity of nanofluid increases as the particle volume concentration increases in the base water but decreases as the size of the particle increases. The maximum value of thermal conductivity occurs at 3.5% particle volume concentration with particle diameter of 25nm and the minimum value of thermal conductivity occurs at 0.1% particle volume concentration with particle diameter of 120 nm. Fig -3: Variation of Thermal conductivity with volume concentration 3.4 Variation of viscosity of nano fluid Fig -4: Variation of Viscosity with volume concentration It can also be seen in figure 4 that as the particle size increases the viscosity of nanofluid also increases. The maximum value of viscosity for 3.5% CuO nanofluidwiththe particle diameter of 120 nm is 0.8099 x 10-9 kg/m3. 3.4 Nusselt Number, Nu The figure 5 depicts that as the volume concentration increases, the Nusselt number also increases. It also increases with respect to increasing diameter of nanoparticle in the base water. Fig -5: Variation of Nusselt number with volume concentration 4. Conclusions The present study analyzed theoretically the efficiency of CuO-water nanofluid based flat plate solar collector for water heating applications using the MATLAB program. Following conclusions can be drawn from the currentstudy: 1. With the increase in the volume concentration of the nanoparticle from 0.1 to 3.5%, the nanofluid density increasesfrom983kg/m3to1170kg/m3 for different size of particles. It can also be seen from the figure that density of nanofluid is independent of the size of particle. 2. With the increase in in the volume concentration of the nano particle from 0.1 to 3.5%, the nanofluid specific heat decreases from 4069 J/kgm3 to 3633 J/kgm3 for different size of particles. The figurealso shows that the specific heat of nanofluid is independent of the size of particle. 3. The thermal conductivity of nanofluid increases as the particle volume concentration increases in the base water but decreases as the size of the particle increases. The maximum value of thermal conductivity occurs at 3.5% particle volume concentration with particle diameter of 25nm and the minimum value of thermal conductivity occurs at 0.1% particle volume concentration withparticle diameter of 120 nm. 4. The viscosity of nanofluid increases as the volume concentration of particle in the base water increases. It can also be seen in figure that as the
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3834 particle size increases theviscosityofnanofluidalso increases. The maximum value of viscosityfor3.5% CuO nanofluid with the particle diameter of 120nm is 0.8099 10-9 kg/m3. 5. As the volume concentration increases, the Nusselt number also increases. It also increases with respect to increasing diameter of nanoparticle in the base water. REFERENCES [1] H. Morcos, “Optimum tilt angle and orientation for solar collectors in Assiut, Egypt,” Renewable Energy, 1993. [2] G. R. Saraf, Faik Abdul Wahab Hamad, “Optimum tilt angle for a flat plate solar collector,” Energy Conversion and Management. [3] Stephen U. S. Choi and J. A. Eastman,“Enhancingthermal conductivity of fluids with nanoparticles,” 1995. [4] Yimin Xuan, Wilfried Roetzel, "Conceptions for heat transfer correlation of nanofluids, Heat and Mass Transfer,” 2000. [5] LI Qiang and XUAN Yimin, “Convective heattransferand flow characteristics of Cu-water nanofluid,” 2002.
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