Experimental and Numerical Analysis of a PCM-Supported ...
Experimental and Numerical Analysis of a PCM-Supported ...
Experimental and Numerical Analysis of a PCM-Supported ...
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
x<br />
t u x<br />
u<br />
0 0<br />
, (6.5)<br />
<strong>and</strong> for a system <strong>of</strong> equations:<br />
u<br />
<br />
u<br />
1<br />
<br />
<br />
2<br />
<br />
<br />
x,<br />
t 0 u<br />
<br />
x,<br />
t 0 u<br />
1,0<br />
2,0<br />
x<br />
<br />
x <br />
(6.6)<br />
In order to implement the PDEs system <strong>of</strong> the evaporator (as an example) in the<br />
“pdepe” function, the system <strong>of</strong> equations arranged to fit the terms <strong>of</strong> equation<br />
(6.1) as shown in table 6.1.<br />
6.2 Solution <strong>of</strong> the HDH plant lumped model<br />
The primary reason for creating a computer model <strong>of</strong> a solar desalination system<br />
is to determine how much distillate water the system will supply over a long<br />
period <strong>of</strong> time, usually over the whole year. Long term system performance is<br />
important in determining the economic viability <strong>of</strong> its particular design due to the<br />
transient nature <strong>of</strong> continuously varying weather conditions. As with any<br />
simulation model, the design characteristics <strong>of</strong> the components <strong>and</strong> operation<br />
parameters may be varied to help optimizing the system in terms <strong>of</strong> its<br />
performance <strong>and</strong> cost.<br />
A complete but simplified system model has been developed to simulate the<br />
proposed solar distiller based on the governing equation systems, which have<br />
been developed in chapter 4 (i.e. equations 4.7 to 4.88). The model was<br />
developed in MATLAB, since it is an integrated package <strong>and</strong> helpful engineering<br />
tool. With the simulation model, the system performance can virtually be tested in<br />
different environments by altering the meteorological data. The model predicts<br />
the system’s transient behaviour <strong>and</strong> therefore uses an explicit calculations<br />
scheme for different parameters <strong>of</strong> interest.<br />
Concerning the boundary conditions, the inlet feed seawater temperature,<br />
ambient conditions <strong>and</strong> hourly solar irradiation data are given as input<br />
parameters. The water vapor concentration in the air can be determined as a<br />
function <strong>of</strong> the gas temperature assuming saturation conditions, since the air<br />
circulates in a closed loop cycle. The temporal <strong>and</strong> spatial evolution <strong>of</strong><br />
temperature <strong>and</strong> concentration fields <strong>of</strong> fluid <strong>and</strong> solid phases are then derived<br />
from the solution.<br />
The model comprises three main modules; the evaporator, condenser, <strong>and</strong> solar<br />
water heater consisting <strong>of</strong> a solar flat plate collector (FPC) <strong>and</strong> <strong>PCM</strong> thermal<br />
storage tank (also referred to as the thermal buffer). Each module was developed<br />
using a ”pdepe” function, tested <strong>and</strong> refined separately to solve the coupled<br />
partial differential equations governing each component as described in details in<br />
127