The effect of single and hybrid nanofluids in the performance of Solar Water Heating System

 

Yacine Marif*, Afak Benazzouz, Belkhir Hebbal

Kasdi Merbah University, LENREZA Laboratory, 30000 Ouargla, Algeria.

*Corresponding Author E-mail: yacine.marif@yahoo.fr

 

ABSTRACT:

In the present study, the feasibility of using single particle Cu and hybrid Cu/Al2O3 nanofluids as heat transfer fluids in a coupled solar parabolic trough collector-heat water storage tank for domestic absorption cooling systems. A computer program based on one dimensional implicit finite difference method and energy balance approach has been developed to investigate the behavior of the studied system under the real climate conditions of a typical summer day in Adrar city, Algeria. The simulation findings reveal that solar parabolic trough collector with small area of 6m² and storage tank of 0.3m3 can ensure higher storage tank temperature able to drive an absorption cooling machine. Solar system with hybrid nanofluid shows superior performance compared to single nanofluid and pure water. Furthermore, the effect of nanoparticle's volume fraction is evaluated. The heat storage tank temperature can attain starting operating chiller temperature more rapidly with small volume fraction equal to 0.2% in the case of Cu-Al2O3/Water hybrid nanofluid.

 

KEYWORDS: Parabolic trough collector, Nanofluids, Thermal enhancement, Simulation.

 

 


INTRODUCTION:

The electricity consumption rate in residential sector has been increased in the word from year to year. A lot of studies are recorded in the literature about the energy consumption optimization in buildings in hot regions using passive concepts such as thermal insulation, natural ventilation, building orientation and underground constructions1-4. Other researchers studied the use of solar cooling systems to provide comfort in the building. Based on flat-plate collector (FPC) dynamic simulation of a solar heating and cooling system was developed by Bahria et al.5 in different regions of Algeria. The obtained results from TRANSOL software shows that 28 m² collector areas for the south regions is suggested to promote cooling production during summer periods.

 

Evangelos et al.6, compared four different collector types in Athens (Greece), flat plate collectors, evacuated tube collectors (ETC), compound parabolic collectors (CPC) and parabolic trough collectors (PTC) for covered 100 Kw cooling load. It is apparent from this study that ETC was the most suitable compared to PTC with 200 m² collector area. According to the authors, this result may be explained by the utilization of diffuse radiation by ETC. However, Al-Falahi et al.7 points out that for PTC with absorption lithium bromide-water solar cooling system (PTC/H2O–LiBr) gives remarkable results comparing to ETC/H2O–LiBr in the case of 700–800Kw cooling load.

 

The parabolic trough collector was used to provide the necessary heat required to drive the absorption cooling machines in the hot regions by a number of researchers in the last year. Because of his higher thermal performance compared to the traditional solar collectors8-10. A single effect absorption lithium bromide-water (LiBr-H2O) with 63.18m² PTC aperture area and 8m3 storage tank volume was installed on the roof of buildings in Kuwait in order to supply the cooling load of 10.55KW11. Mazloumi and al.12 simulate a single effect LiBr-H2O absorption cooling system with 17.5KW cooling load for typical house in Iran, it was concluded that the minimum required collector area is 57.6m² with storage tank in the range of 0.68-1.23m3.  Nidal et al.13 developed a model of a solar adsorption cooling and refrigeration based on parabolic trough collector in Saudi Arabia, a statistical optimization method revealed that the optimum tank volume varied between 0.2 and 0.3 m3 and the required collector area is about 3.5-5m² in the case of equivalent ambient temperature of 27°C.

 

Several theoretical and experimental published studies have examined the impact of nanofluids in various fields of energy14-17, the research to date has tended to focus on many nanofluid types such as Graphene18,19, CNT/H2O20, Al2O3/Water, CuO/Water and Cu/Water21,22. Sergio et al.23 have showed that the solar water heating system (collector and sensible heat storage tank) is the mean element in the single-effect solar absorption cooling systems. The use of nanofluid-based PTC has been examined in many applications by various researchers24,25, and notable paucity of studies in solar cooling and refrigeration systems26. According to the simulation results, the use of water/ZnO and water/Al2O3 can increase the heat transfer rates up to 50%. The main objective of this paper is studying the effect of nanofluid technology in increasing the efficiency of the solar water heating system, in order to reduce starting operating time for single-effect LiBr-H2O absorption cooling systems under real summer weather conditions of Adrar city, south of Algeria.

 

System Description:

The system is illustrated in Figure1, it consists of a solar parabolic trough collector, heat storage tank and single effect LiBr-H2O absorption unit. The systems use water as the storage media with operating temperature of 65-95°C25. The hot water in the storage tank is used to ensure the necessary heat of the absorption chiller generator. As discussed in the previous section, the most common part in the solar cooling system is solar heating system. The present study is focused on the modeling of the coupled parabolic trough collector and storage tank, in order to achieve the chiller starting operating temperature (65°C) in small time.

 

 

Figure 1. Typical solar cooling system

The size of collector area and storage tank capacity depends on the cooling load, solar energy and pumps mass flow.  In this study and based on the previous studies12,27, the storage tank’s volume was taken as 0.3 m3 and higher collector masse flow rate of 0.2kg/s is considered. The characteristics of small size PTC used in the simulations are presented in the Table 1. The collector area of 6 m2 give a storage ratio of 0.05m, extensive research has shown that the perfect storage tank to collector area ratio is given between 0.01- 0.13m in the literature10,12.

 

Table 1. Characteristics of solar PTC28

Absorber length (L)

4m

Collector width (W)

1.5 m

Focal distance (F)

0.43 m

Absorber pipe external diameter Dab2

0.02858 m

Absorber pipe internal diameter Dab1

0.02756 m

Glass envelop external diameter Dg2

0.03628 m

Glass envelop internal diameter Dg1

0.03398 m

Absorber pipe thermal conductivity (kab)

389 W/mK

Glass envelop thermal conductivity (kg)

1.2 W/mK

Absorber pipe thermal absorptance (αab)

0.88

Glass envelop thermal absorptance (αg)

0.05

Glass envelop transmitance (τg)

0.92

Transmittance-absorptance factor (α0)

0.817

Absorber pipe specific heat (Cpab)

380 J/kgK

Glass envelop specific heat (Cpg)

750 J/kgK

Absorber pipe density (ρab)

8940 kg/m3

Glass envelop density (ρg)

2500 kg/m3

Absorber pipe emittance (εab)

0.49

Glass envelop emittance (εg)

0.85

Reflected surface reflectivity(ρ0)

0.83

Shape factor (γ)

0.823

 

Models development:

 PTC model:

The absorber receiver is the main component in solar PTC with a metallic inner pipe and outer glass envelope, the absorber of P layers is represented in Figure 2. The absorber model is based on one dimensional implicit finite difference method with energy balance approach in each section of the glass envelope, absorber pipe and water.

 

 

Figure 2. Longitudinal division of the absorber receiver29

 

In the control volume, the heat balance on the glass envelope, absorber pipe and water can be written as follows29:      

        (1)

 (2)

 (3)

In order to solve these partial differential equations a finite difference method was adopted, after rearranging the glass envelope algebraic equations was found29:

 

 (4)

Where

 (5)

(6)

 

The same procedure mentioned above is employed for the absorber tube and liquid water. The system of (3P+3) equations are solved simultaneously using Gausse-Seidel iterative method. The PTC model was validated by Marif al.29 using measured data obtained by Sandia National Laboratories (SNL) and the simulations results presented in30.

 

Storage tank model:

The operation conditions cited in section 2 eliminate the thermal stratification in the storage tank and ensure turbulent forced convection in the parabolic trough collector. The energy balance in the storage tank is given by the first order differential equation:

 (7)

mw is the heat source mass flow rate and (Aiso hiso) is the overall heat loss coefficient between the tank and environment. The tank hot water temperature Tt can be calculated using Euler method:

 (8)

Where 

 

Nanofluids model:

Cu/Water nanofluids and Cu-Al2O3/Water hybrid nanofluids are used in this study. A considerable amount of literature have been published on the correlations used to estimate thermal properties of the mono nanofluids and hybrid nanofluids31,32. These studies illustrated that the nanofluid thermal properties are a function of nanoparticle volume fraction, base fluid and nanoparticle thermal properties (see Table 2). Equations 9 to 14 determine the density, specific heat capacity and thermal conductivity of single and hybrid nanofluids respectively31:

    (9)

(10)

 (11)

 (12)

 (13)

 (14)

 

Where the total volume fraction 

The dynamic viscosity of single and hybrid nanofluids were estimated by using Eq(15)31:

 

(15)

 

Furthermore, the correlation developed by Maiga et al.33 is recommended for calculating the Nusselt number in case of turbulent flow (Re > 2300):

 

Nu = 0.085 Re0.71 Pr0.35       (16) 

 

Table 2. Thermal properties of water and Nanoparticle used in simulations26,29

Base fluid

Water

pw = -4.95626 ×10-4T20.23291 T + 1001.83736 pw

kw = -5.96341 × 10-6T2 + 1.68 × 10-3 T + 0.56821

Cpw = 0.01378 T2 – 1.42026 T + 4218.2371

µw = -4.28265 × 10-10 T3 + 1.88979 ×10-7 – 2.77774 × 10-5 T + 15.6 × 10-4

Nanoparticle

Density

(Kg/m3)

Specific heat

Capacity

(J/KgK)

Thermal

Conductivity

(W/mK)

Cu

8933

397

393

AL2 O3

3960

773

40

 

RESULTS AND DISCUSSION:

PTC performance:

As previously mentioned parabolic trough solar collector received only the direct irradiation, full tracking system is chosen for its high optical efficiency. The ambient temperature and direct normal irradiation (DNI) received by the collector during typical clear summer day have been recorded at the New Energy Algeria station (NEAL) installed at the Research Unit in Renewable Energies in the Saharan Medium (URERMS) located in Adrar city (27◦53’ N, 0◦17’ E and 264 m) (see Figure 3). It can be seen that maximal ambient temperature is around 48°C in the afternoon, and the maximal value of DNI is around 800 W/m².

 

Figure 3. Variation of meteorological parameters during 15 July in Adrar

 

Figure 4 presents the temperature variation at the output of the absorber for PTC with pure water as heat transfer fluid. When the direct solar radiation reflected by the PTC reflector, most of this radiations heat is absorbed by the absorber tub placed in collector focal line and transmits this useful heat to the heat transfer fluid. It is displayed that the collector area of 6 m2 can produce higher output water temperature. In addition, higher glass envelope temperature fluctuation was observed, this higher fluctuation has been caused by the convective heat loss between glass envelope and exterior air due to wind speed.

 

Figure 4. Temperature variation at the output of the absorber for PTC with water

 

Solar heating system performance:

Physical properties variations with the working temperature in the case of 0.1% volume fraction are presented in Figure 5. Provide the observation that Cu-Al2O3/Water hybrid nanofluid has high thermal conductivity than Cu/Water single nanofluid and pure water. However, pure water has a higher calorific capacity (ρ.Cp) followed by single nanofluid and hybrid nanofluid in decreasing order. For these reasons the useful convection heat transfer coefficient in the case of hybrid nanofluid as a working fluid is higher. This result in a much faster increase of the storage tank temperature (Figure 6), the cooling starting operating time (at Tt=65°C) can be achieved before 13h compared to the other cases.

 

Figure 5. Fluids properties with operating temperature

 

Figure 6. Variation of tank temperature during 15 July in Adrar

 

The tank temperature has been simulated for different volume fraction of single and hybrid nanofluids, as shown in Figure 7. It can be seen that the tank temperature in case of hybrid nanofluid increased fast then single nanofluid case. The reason for this great increase is based on the dependency of the nanofluids thermal properties especially thermal conductivity by small volume fraction, thermal conductivity enhance due to convection currents between base fluid and solid particles. The cooling starting operating time is between 12h and 12h30 with 0.2% Cu-Al2O3/Water volume fraction. Beside, 0.8% Cu/Water volume fraction provide a cooling starting operating time between 12h30 and 13h.

 

Figure7. The effect of volume fraction on the tank temperature during 15 July

 

CONCLUSION:

Solar parabolic trough collector is one of the most mature solar collectors for operation in medium temperature. The aim of this paper is to critically examine the effects of single nanofluids of Cu/H2O and hybrid nanofluids of Cu-Al2O3/H2O in small size solar heating system (Solar parabolic trough collector and storage tank).The design was done for supply heat for the absorption lithium bromide-water solar cooling unit with starting operating temperature equal to 65°C. Based on the simulations results obtained in summer representative day in Adrar region, south of Algeria, the solar PTC aperture area of 6m² and storage tank volume of 0.3m3  are sufficient to reach the starting operating temperature after 13h in the case of pure water. On the other hand, the integration of nanofluid technology can increase the useful heat transfer coefficient and decrease starting operating time compared with pure water. The starting operating time diminished as the volume fraction of the single and hybrid nanofluids increases, the cooling unit can start before 13h with hybrid nanofluid and single nanofluid of 0.2% and 0.8% volume fraction respectively.

 

CONFLICT OF INTEREST:

The authors have no conflicts of interest regarding this investigation.

 

ACKNOWLEDGMENTS:

The authors gratefully thank the Research Unit in Renewable Energies in the Saharan Medium situated in Adrar city for providing the data used in this study.

REFERENCES:

1.      Al-Sallal KH. Al-Rais L. Bin Dalmouk M. Designing a sustainable house in the desert of Abu Dhabi. Renew Energy 2013; 49: 80–84. https://doi.org/10.1016/j.renene.2012.01.061

2.      Hatamipour MS. Mahiyar H. Taheri M. Evaluation of existing cooling systems for reducing cooling power consumption. Energy and Buildings 2007; 39: 105–112. https://doi.org/10.1016/j.enbuild.2006.05.007

3.      Bekkouche SMA. Benouaz T. Yaiche MR.  Cherier MK. Hamdani M. Chellali F. Introduction to control of solar gain and internal temperatures by thermal insulation. proper orientation and eaves. Energy and buildings 2011;43: 2414-2421. https://doi.org/10.1016/j.enbuild.2011.05.018.

4.      Hebbal B. Marif Y. Hamdani M. Belhadj M M. Bouguettaia H. Bechki D. The geothermal potential of underground buildings in hot climates:Case of Southern Algeria. Case Studies in Thermal Engineering 2022;28:101422. https://doi.org/10.1016/j.csite.2021.101422

5.      Bahria S. Amirat M. Hamidat A. El Ganaoui M. El Amine Slimani M. Parametric study of solar heating and cooling systems in different climates of Algeria e A comparison between conventional and high energy performance buildings. Energy 2016;113:521-535. https://doi.org/10.1016/j.energy.2016.07.022.

6.      Evangelos B. Christos T. Kimon AA. Exergetic, energetic and financial evaluation of a solar driven absorption cooling system with various collector types. Applied Thermal Engineering 2016; 102: 749–759. https://doi.org/10.1016/j.applthermaleng.2016.04.032

7.      Al-Falahi A.  Falah A. Bernd E. Design and thermo-economic comparisons of large scale solar absorption air conditioning cycles. Case Studies in Thermal Engineering 2020; 22: 100763. https://doi.org/10.1016/j.csite.2020.100763.

8.      Rosiek S. Batlles F.Integration of the solar thermal energy in the construction: Analysis of the solar-assisted air-conditioning system installed in CIESOL building. Renewable Energy 2009; 34: 1423-1431. https://doi.org/10.1016/j.renene.2008.11.021

9.      Ramadas N. Gopi K H. Santu G. Feasibility study on the solar absorption cooling system for a residential complex in the Australian subtropical region. Case Studies in Thermal Engineering 2021; 27: 101202. https://doi.org/10.1016/j.csite.2021.101202

10.   Cabrera FJ. Fernandez-Garci A. Silva RMP. Perez-Garci M.. Use of parabolic trough solar collectors for solar refrigeration and air-conditioning applications. Renewable and Sustainable Energy Reviews 2013; 20:103–118. https://doi.org/10.1016/j.rser.2012.11.081

11.   Osman MG. Performance analysis and load matching for tracking cylindrical parabolic collector for solar cooling in arid zones. Energy Conversion and Management 1985; 25: 295–302. https://doi.org/10.1016/0196-8904(85)90046-9

12.   Mazloumi M. Naghashzadegan M. Javaherdeh K. Simulation of solar lithium bromide-water absorption cooling system with parabolic trough collector. Energy Conversion and Management 2008; 49: 2820–2832. https://doi.org/10.1016/j.enconman.2008.03.014

13.   Nidal H. Abu-Hamdeh. Khaled A. Alnefaie. Khalid H. Almitani. Design and performance characteristics of solar adsorption refrigeration system using parabolic trough collector: experimental and statistical optimization technique. Energy Conversion and Management 2013 ;74 :162–170. https://doi.org/10.1016/j.enconman.2013.04.043

14.   Ruchika D. Puneet R. Lokendra K. Dual Solutions in MHD Boundary Layer Nanofluid Flow and Heat Transfer with Heat Source/Sink considering Viscous Dissipation. Research J. Engineering and Tech. 2015; 6(1):142-148. https://doi.org/10.5958/2321-581X.2015.00021.5

15.   Prabha T. Aishwaryah P. Manickavalli E. Chandru R. Arulbharathi G. Anu A. Sivakumar T. A Chalcone Annulated Pyrazoline Conjugates as a Potent Antimycobacterial Agents: Synthesis and in Silico Molecular Modeling Studies. Research J. Pharm. and Tech. 2019; 12(8): 3857-3865. https://doi.org/10.5958/0974-360X.2019.00663.2

16.   Habeeb M. Deepthi KL. Vijaya Vara Prasad M. Irfan N. Shaik Liakhat A. Navyaja K. Development Characterization and Molecular Simulation studies of Metoclopramide HCl and Tramadol HCl Bilayer Tablets. Research Journal of Pharmacy and Technology 2022; 15(2):529-4. https://doi.org/10.52711/0974-360X.2022.00085

17.   Ahuja J. Gupta U. Magneto convection of rotating nanofluids in porous medium: metals and semiconductors as nanoparticles. Research J. Science and Tech. 2017; 9(1):135-142. https://doi.org/10.5958/2349-2988.2017.00022.5

18.   Suneetha S. Bala Anki Reddy P. Investigation on Graphene Nanofluids and its Applications: A brief Literature Review. Research J. Pharm. and Tech. 2016; 9(6):655-663. https://doi.org/10.5958/0974-360X.2016.00124.4

19.   Dave A. Sharma K. Chandramuly RS. Comprehensive Study on Graphene Nanofluids and its Applications: Literature Review. Research Journal of Science and Technology. 2021; 13(3):200-4. https://doi.org/10.52711/2349-2988.2021.00030

20.   Rajput D. Kumar R. Efficiency Enhancement of Solar Water Heater using CNT/H2O Nanofluid. Research J. Science and Tech. 2018; 10(4):295-299. https://doi.org/10.5958/2349-2988.2018.00042.6

21.   Jyoti A. Urvashi G. Wanchoo RK. Hydromagnetic Stability of Al2O3-Water and CuO-Water Nanofluids: Effect on Critical Rayleigh Number. Research J. Engineering and Tech. 2015; 6(1):136-141. https://doi.org/10.5958/2321-581X.2015.00020.3

22.   Vedavathi VN. Balamurugan KS. Dharmaiah G. Analysis of Heat and Mass Transfer on MHD flow with Ag, Al2O3 and Cu Water Nanofluids over a Semi Infinite Surface. Research J. Science and Tech. 2017; 9(3):359-367. https://doi.org/10.5958/2349-2988.2017.00063.8

23.   Sergio P. Cristian P. Sethuven Sk. Stephen W. Gary R. A review of thermal energy storage technologies and control approaches for solar cooling Renewable and Sustainable. Energy Reviews 2015; 41: 975–995. https://doi.org/10.1016/j.rser.2014.08.062

24.   Coccia G. Di Nicola G. Colla L. Fedele L. Scattolini M. Adoption of nanofluids in low-enthalpy parabolic trough solar collectors: Numerical simulation of the yearly yield. Energy Conversion and Management 2016;118:306-319. https://doi.org/10.1016/j.enconman.2016.04.013

25.   Rehan MA. Ali M. Sheikh N.A. Khalil MS. Chaudhary G.Q. Rashid T. Shehryar M. Experimental performance analysis of low concentration ratio solar parabolic trough collectors with nanofluids in winter conditions. Renewable Energy 2018;118:742-751. https://doi.org/10.1016/j.renene.2017.11.062

26.   Evangelos B. Christos T. Alternative designs of parabolic trough solar collectors.  Progress in Energy and Combustion Science 2019; 71: 81–117. https://doi.org/10.1016/j.pecs.2018.11.001

27.   Guillaume A. Modélisation, simulation dynamique, validation expérimentale et optimisation énergétique d’une unité de rafraichissement solaire par absorption. Thèse de doctorat en energetique. Université de Pau et des Pays de l’ Adour 2011

28.   Brooks MJ. Performance of a parabolic trough solar collector. Thesis in Master of Science Degree in Engineering. University of Stellenbosch. South Africa 2005.

29.   Marif Y. Benmoussa H. Bouguettaia H. Belhadj MM. Zerrouki M. Numerical simulation of solar parabolic trough collector performance in the Algeria Saharan region.  Energy Conversion and Management 2014; 85: 521–529. https://doi.org/10.1016/j.enconman.2014.06.002

30.   Ya-Ling. He, Jie. Xiao, Ze-Dong. Cheng, Yu-Bing. Tao. A MCRT and FVM coupled simulation method for energy conversion process in parabolic trough solar collector. Renewable Energy 2011; 36: 976-985. https://doi.org/10.1016/j.renene.2010.07.017

31.   Ranga Babu JA. Kiran KK. Srinivasa Rao S. State-of-art review on hybrid nanofluids. Renewable and Sustainable Energy Reviews 2017; 77:551–565. https://doi.org/10.1016/j.rser.2017.04.040

32.   Chitra B. Sathish KK. Manoj D. Mohan KS. Experimental Study to Enhance the Thermal Conductivity of Nanofluid. Research J. Engineering and Tech 2013; 4(4): 272-278.

33.   Maiga SEB. Palm SJ. Nguyen CT. Roy G. Galanis N. Heat transfer enhancement by using nanofluids in forced convection flows. Int J Heat Fluid Flow 2005; 26 (4):530–46. https://doi.org/10.1016/j.ijheatfluidflow.2005.02.004


 

Nomenclature

Symbols

A

Cp

D

Id

k

K

L

m

Nu

h

P

Pr

V

Re

T

t

W

x

Greek

α

α0

γ

ρ

ρ0

 

 

Cross sectional area (m²) 

Specific heat (J/kg K)

 Diameter (m)

Direct solar radiation (W/m²)

Thermal conductivity (W/m K)

Modified incident angle

Absorber length (m)

Mass (Kg)

Mass flow rate (Kg/s)

Nusselt number

Heat transfer coefficients (W/m²),

 Number of layers

Prandtl number

Volume(m3)

Reynolds number

Temperature (°C)

Time (s)

Collector width (m)

Axial coordinat (m)

 

Absorptance factor

Ttransmittance absorptance factor

Shape factor

Density (Kg/m3)

Reflected surface reflectivity

ε

μ

φ

∆t

Δx

 

 

Subscripts

ab

bf

c

ext

g

h

hnf

in

int

iso

j

nf

np

sky

t

u

w

(*)

Emittance

dynamic viscosity (Pa-s)

Volume fraction (%)

Time step (s)

Inter-nodal distance (m)

 

 

 

Ambiant

Absorber pipe

Base fluid

Convection

Exterior

Glass envelope

Hybrid

Hybrid nanofluid

Inlet

Interior

Isolant

Number of node

Nanofluid

Nanoparticle

Sky

Tank

Useful

water

Value of previous instant

 


 

 

 

 

 

 

Received on 28.07.2022                    Modified on 21.08.2022

Accepted on 15.09.2022                   ©AJRC All right reserved

Asian J. Research Chem. 2022; 15(6):489-494.

DOI: 10.52711/0974-4150.2022.00083