Experimental and Numerical Analysis of a PCM-Supported ...

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esult, rather than PCM media which usually suffer from poor thermal conductivity, other conductive media with high thermal conductivities, smaller size, and lower cost would be ideal candidates for the present application. Figure 7.16: Effect of solid packing media on hourly productivity On the other hand, when condensation depends on the interfacial vapour pressures, the sensible energy flow components impact the film temperature at the liquid-gas and solid-gas interfaces and consequently affects the latent heat components. At steady state conditions, the energy flow from liquid to solid phase equilibrates with the energy flow from gas to solid and the local temperatures of all phases remain constant. However, numerical analysis has been carried out to have deep insight about the extent of this effect. Table 7.3: Effect of different packing media on the condensation rate (Mcw=1000 [l/h]) Medium Properties Glass, Brick Pyrex (fired clay) Iron Aluminum Water PCM (HS 58) Air k (W/m.K) 1.14 1.13 70 229 0.64 0.6 0.027 8 ρ (kg/m 3 ) 2240 2310 7880 2701.1 1000 1280 1.084 c (J/kg) 840 922 511 938.3 4180 2.51E+05 1015 M d [l/h] 44.81 44.79 43.72 43.72 43.07 42.69 40.56 M d Increase (%) relative to air 10.5% 10.4% 7.8% 7.8% 6.2% 5.2% 0.0% 159
Figure (7.17) and (7.18) demonstrate the effect of thermal conductivity at different cooling water mass flow rates and different inlet cooling water temperatures, respectively. The results show that the effect of thermal conductivity of PCM has a considerable effect on the condensation rate. This effect appears much stronger when its value is less than 2 [W/m/K], moderately between 2 and 10, and slightly above 10 for the given mass flow rate of air. Figure 7.17: Effect of PCM thermal conductivity on condensation rate under different cooling water mass flow rates 7.3.7 Concluding remarks The present analysis indicated that water to air mass flow ratio is one of the most crucial operational parameters and its optimum value lies around 1.5. However, the thermal conductivity represents an important parameter that controls local heat and mass transfer rates. The thermal conductivity of the packing media should not be less than 2W/m/K for better performance of the condenser. The study concluded that, conductive media with high thermal conductivity, smaller size, and lower cost would be the ideal candidates for the present application, rather than PCM media that usually have poor thermal conductivity and high cost. 160
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Technische Universität München In
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It is my pleasure to thank Prof. Th
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Contents List of figures ..........
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5.3 Functional description ........
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List of Figures Figure 1.1: Cost br
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78cm; Top: Evaporator, Bottom: Cond
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xii
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m Mass flow rate; [kg.s -1 ] m eva
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ed c coll cond cw d d e or eff evap
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1 Introduction The first part of th
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summarized in figure (1.2). Thermal
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1.3.2 Selection criteria of desalin
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of energy storage or hybridization
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Desalination development focuses on
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Introduction of the indirect type s
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2 Literature Survey 2.1 Introductio
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There is actually a commercial prod
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Q m H c ( T T1) c ( T 2 T ) (2.2)
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(solid-liquid) have a storage densi
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(iii) a sharp melting temperature.
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melt and freeze without segregation
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However, the stored heat is less va
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parameters on the heat transfer and
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categories. The first category is b
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to 550 kWh/m 3 of distilled water a
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The enthalpy and humidity of the sa
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Air mass flow rate [kg/h] GOR [-] 1
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On the other hand, the efficiency o
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2.8.4.2 Effect of air to water mass
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distillate rate. The system was not
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were; EnviPac Gr.1, 32 mm, and VFF
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Figure 2.15: Height versus air temp
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The performance of the condenser is
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Klausner and Mei [136] described a
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The impact of the collector cost ca
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exchanger and energy storage in one
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3 Scope of the Study This chapter p
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packing where it gets in direct con
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In fact there is a tradeoff between
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The energy flow between all and eac
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4 Theoretical Analysis and Modeling
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The two-energy equation models whic
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solid-liquid phase change inside th
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assumed by conduction in both axial
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the air pressure drop ∆P per unit
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evaporation rate per unit volume of
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where β t , β c , ρ ref , c ref
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the viscous transport and introduce
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liquid and solid phases, respective
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4.2.3.3 Liquid and gas hold-ups Liq
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Several models and approaches for m
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where G=ρU d /ε g is the pore mas
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k k eff s 1 3 2 (4.55) This cor
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uncertainties associated with the f
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1 2 (4.62) d1 capp c2 c1 c2 1
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[58] evaluated the cooling tower ai
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1 exp NTU 1 C r, cond cond (4
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A HE QHE U T HE LM (4.81) Where Q
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c M f b (4.86) M b S S f where r
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that form the study logical foundat
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5 Experimental Analysis This chapte
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5.2 Measuring Techniques K-type the
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The product condensed water was mea
Page 128 and 129: operating limits. In light of the l
Page 130 and 131: In the last two cases, the inlet ho
Page 132 and 133: performance and its threshold value
Page 134 and 135: It could be interpreted that this p
Page 136 and 137: Evaporator Condenser Figure 5.8: Av
Page 138 and 139: within the inaccuracy margins. The
Page 140 and 141: The last two cases of boundary cond
Page 142 and 143: natural air flow in the system. In
Page 144 and 145: 6 Model Implementation and Validati
Page 146 and 147: x t u x u 0 0 , (6.5) and for a s
Page 148 and 149: Next time step validation were the
Page 150 and 151: The evaporator and condenser both w
Page 152 and 153: Figure 6.2: Evolution of inlet and
Page 154 and 155: Figure 6.4: Evolution of inlet and
Page 156 and 157: temperature is at its maximum level
Page 158 and 159: Bottom Top Figure 6.7: Evolution of
Page 160 and 161: 7 Parameters Analysis of the Evapor
Page 162 and 163: Figure 7.1: Effect of packing size
Page 164 and 165: e 0.45 kPa under natural convection
Page 166 and 167: aspect ratio under constant bed vol
Page 168 and 169: Figure 7.7: Effect of inlet hot wat
Page 170 and 171: well as the time required to reach
Page 172 and 173: Figure 7.10: Effect of packing medi
Page 174 and 175: 40°C respectively. This gives flex
Page 176 and 177: the condensate rate, productivity f
Page 180 and 181: Figure 7.18: Effect of PCM thermal
Page 182 and 183: 8 Optimization of HDH plant In this
Page 184 and 185: The MATLAB model describes how the
Page 186 and 187: less steep than that of the distill
Page 188 and 189: 8.3.4 Effect of hot water flow rate
Page 190 and 191: storage materials and thus it can h
Page 192 and 193: for latent heat storage would be ob
Page 194 and 195: When T m becomes sufficiently highe
Page 196 and 197: 9 Summary and conclusions 9.1 Summa
Page 198 and 199: productivities at any cooling water
Page 200 and 201: [13] Vafai K., Sozen M. An investig
Page 202 and 203: [48] Crone S., Bergins C., and Stra
Page 204 and 205: [79] Tiwari G.N. and Yadav Y.P. (78
Page 206 and 207: [109] Mehling H., Hiebler S. and Zi
Page 208 and 209: [139] Belessiotis V, Delyannis E (2
Page 210 and 211: Appendices Appendix A A1. PCM Therm
Page 212 and 213: A3. Constants and Thermo-physical p
Page 214 and 215: From the above correlation, the con
Page 216 and 217: The Ergun analogy factor J h repres
Page 218 and 219: Equation (C.7) represents an overal
Page 220 and 221: Appendix D D1. Cooling tower theory
Page 222 and 223: A m w = the plan or cross sectiona
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