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

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8 Optimization of HDH plant In this chapter, simulation of a complete HDH plant with periphery will be performed in order to identify suitable plant configurations and operating parameters. Given specific meteorological data for continuously varying weather conditions, the design characteristics and performance of the desalination plant can be optimized for every location and environment. The results obtained in this chapter follow the overall mass and salt balance analysis, which has been discussed in chapter 4 considering the same plant layout and operation strategy. 8.1 Geographical locations Two locations in Egypt were selected as representative sites for application of the simulation model, namely: Al-Arish and Al-Kahrga as depicted on the map in figure 8.1. Al-Arish city is located on the northern coast of the Mediterranean Sea whilst Al-Kharga is located in the western desert south of Egypt. The solar irradiation intensity is less than 5.4 kWh/m 2 /day and highly transient for Al- Arish especially in winter, while it is 6.7- 6.8 kWh/m 2 /day and with very smooth daily and seasonal variations for Al- Kharga. On the other side, Al-Khrga is characterized by desert climatic conditions, where marginal discrepancy in daily ambient temperature is noticeable, some examples are shown in figure 8.2. As a coastal city, Al-Arish doesn’t exhibit such high fluctuation in daily temperatures due to the huge heat capacity of the Mediterranean Sea. Figure 8.1: Selected geographical locations in Egypt 8.2 Boundary conditions and input parameters Al-Arish city will be considered as the main site for optimization of the HDH plant with a targeted fresh water production capacity around 1000 l/day. The local weather data used for the simulation is extracted from the Meteonorm database. It is a climate database using either weather station records or satellite data. The input weather data is generated based on averaged hourly values. 163
Figure 8.2: Daily and seasonal variations of weather conditions in Al-Arish and Al-Kharga, Egypt The meteorological input parameters are the dry bulb temperature and the global solar radiation. The solar radiation determines the thermal energy input, while the ambient temperature determines the inlet feed seawater temperature as well as the inlet cooling water temperature to the condenser. 8.3 Parametric Analysis In order to study the influence of parameters on the considered system layout, yearly simulation and predictions for the system performance were considered as the basis for the optimization procedures. Various geometrical, thermophysical properties of PCM in the external thermal buffer, and operation conditions of the HDH cycle coupled with the solar collector field, as described in figures (3.1) and (4.1), will be discussed and analyzed. MATLAB implementation was used to solve for the single components as well as for the system as a whole. 164
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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
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operating limits. In light of the l
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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 178 and 179: esult, rather than PCM media which
Page 180 and 181: Figure 7.18: Effect of PCM thermal
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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