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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

Postal Subscription Code 80-972

2018 Impact Factor: 1.701

Front. Energy    2019, Vol. 13 Issue (1) : 193-203    https://doi.org/10.1007/s11708-019-0608-0
RESEARCH ARTICLE
Modeling analysis on solar steam generator employed in multi-effect distillation (MED) system
Zhaorui ZHAO1(), Bao YANG3, Ziwen XING2
1. Department of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China; Center for Environmental Energy Engineering (CEEE), Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA
2. Department of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
3. Center for Environmental Energy Engineering (CEEE), Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA
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Abstract

Recently the porous bilayer wood solar collectors have drawn increasing attention because of their potential application in solar desalination. In this paper, a thermodynamic model has been developed to analyze the performance of the wood solar collector. A modeling analysis has also been conducted to assess the performance and operating conditions of the multiple effect desalination (MED) system integrated with the porous wood solar collector. Specifically, the effects of operating parameters, such as the motive steam temperature, seawater flow rate, input solar energy and number of effects on the energy consumption for each ton of distilled water produced have been investigated in the MED desalination system combined with the bilayer wood solar steam generator. It is found that, under a given operating condition, there exists an optimum steam generation temperature of around 145°C in the wood solar collector, so that the specific power consumption in the MED system reaches a minimum value of 24.88 kWh/t. The average temperature difference is significantly affected by the solar heating capacity. With the solar capacity increasing from 50 kW to 230 kW, the average temperature difference increases from 1.88°C to 6.27°C. This parametric simulation study will help the design of efficient bilayer wood solar steam generator as well as the MED desalination system.

Keywords solar energy      steam generating      multi-effect desalination     
Corresponding Author(s): Zhaorui ZHAO   
Online First Date: 14 January 2019    Issue Date: 20 March 2019
 Cite this article:   
Zhaorui ZHAO,Bao YANG,Ziwen XING. Modeling analysis on solar steam generator employed in multi-effect distillation (MED) system[J]. Front. Energy, 2019, 13(1): 193-203.
 URL:  
https://academic.hep.com.cn/fie/EN/10.1007/s11708-019-0608-0
https://academic.hep.com.cn/fie/EN/Y2019/V13/I1/193
Fig.1  Schematic of the bilayer wood solar collector for steam generation
Fig.2  Schematic of a solar steam generator with the bilayer wood collector under direct solar heating
Fig.3  Microcosmic operation of the bilayer wood solar steam generation
Fig.4  Schematic diagram of a multi-effect desalination (MED) process combined with a steam ejector (The steam ejector compresses the low-pressure vapor from the last effect back to the first effect. The motive steam of the ejector is produced by the proposed bilayer wood steam generator.)
Parameters Value
Inlet seawater salinity/% 4.2
Inlet seawater temperature/°C 25
Outlet brine temperature/°C 35
Number of tube 20 (4 × 5)
Energy efficiency of preheater 0.9
Inner diameter of tubes/mm 20
Outer diameter of tubes/mm 30
Length of tubes/m 1
Area of preheater/m2 2
Tab.1  Geometric and operating parameters
Fig.5  Simulation flowchart for the MED desalination system
Fig.6  Influence of brine flow rate on system performance
Fig.7  Optimal number of effects and specific energy consumption as a function of solar steam temperature
Fig.8  Influence of input solar energy
Fig.9  Temperature difference between effects and salinity in each effect
A Area /m2
BPE The rise in brine’s boiling point rise/K
d Diameter/m
F Mass flow rate/ (kg·s1)
h Specific enthalpy /(kJ·kg1)
m Refrigerant mass /kg
N Number
P Pressure/kPa
Q Heat/kJ
R Fouling resistance of pipe wall/(m2·K1·W1)
r Latent heat/(kJ·kg1)
T Temperature/K
W Power consumption/kJ
X Salinity
α Heat transfer coefficient/(W·m2·K1)
λ Heat transfer coefficient/(W·m2·K1)
μ Dynamic viscosity/(Pa·s)
ρ Density/(kg·m3)
dis Discharge
ev Entrained vapor
f Fluid
l Liquid
sat Saturation
sw Seawater
suc Suction
v Vapor
w Wall
  
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