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10–21$
P10–10)(a))Continued$
)
)
)
)
)
$
$
$
10–22$
P10–10)(b))$
)
)
)
)
Substituting$the$expressions$for$CV$and$CA·S$into$the$equation$for$–r’A$
$
$
)
P10–10)(c))Individualized$solution$
)
10–23$
P10–10)(d))
First$we$need$to$calculate$the$rate$constants$involved$in$the$equation$for$–r’A$in$part$
(a).$We$can$rearrange$the$equation$to$give$the$following$
$
$
$
$
$
$
$
See$Polymath$program$P10–10–d.pol.$
10–24$
P10–10)(d)$continued$
POLYMATH)Results
Calculated)values)of)the)DEQ)variables
Variable initial value minimal value maximal value final value
W 0 0 23 23
X 0 0 0.9991499 0.9991499
e 1 1 1 1
ODE)Report)(RKF45)
Differential equations as entered by the user
[1] d(X)/d(W) = –ra/Fao
Explicit equations as entered by the user
$
$
P10–10)(e)$Individualized$solution$
)
10–25$
P10–10)(f)$
$
$
Use$these$new$equations$in$the$Polymath$program$from$part$(d).$
See$Polymath$program$P10–10–f.pol.$
POLYMATH)Results
Calculated)values)of)the)DEQ)variables
rate 12.228142 0.0435044 68.584462 0.0435044
ODE)Report)(RKF45)
Differential equations as entered by the user
[1] d(X)/d(W) = –ra/Fao
[2] d(y)/d(W) = –alpha*(1+X)/2/y
Explicit equations as entered by the user
[8] rate = –ra
[9] alpha = .03
$
$
10–27$
P10–11)(b))Continued$
)
)
P10–11)(c))
The$estimates$of$the$rate$law$parameters$were$given$to$simplify$the$search$techniques$to$make$sure$
)
P10–11)(d))
( )
2
1
A
a
AA BB H H
kP
r
KP KP K P
−
=+++
000
(1 ) ,,
(1 ) (1 ) (1 )
AAA
ABH
PX PX PX
PPP
XXX
−
===
+++
0
0
0.00137
4.77
0.259
0.424
15
10 / sec
A
B
H
A
A
k
K
K
K
P atm
F mol
=
=
=
=
=
=
10–28$
P10–11)(d)$continued$
Calculated values of DEQ variables$$
$
Differential equations$$
ra = –k*Pa/((1+Ka*Pa+Kb*Pb+Kh*Ph)^2)
$
From$the$above$graph,$we$get$the$weight$of$catalyst$required$for$85%$conversion$is$1.2083×106)kg.)$
The$required$catalyst$weight$is$so$high$because$of$very$low$value$of$reaction$constant$’k’.$
$$$$$$$$$$$$$$
Pa
Run Pa Pb Pc reaction-rate
11 1 2 0.114
310 1 2 0.18
620 1 2 0.186
70.1 1 2 0.0243
Pb
Run Pa Pb Pc reaction-rate
11 1 2 0.114
2110 21.14
4120 22.273
0
0.5
1
1.5
2
2.5
0 5 10 15 20 25
-rA’*(mol/gcat*s)
Pb*(atm)
Pc
Run Pa Pb Pc reaction-rate
4120 22.273
5120 10 0.926
P10–12)(b))Species$A$and$C$are$on$the$surface$
)
P10–12)(c))
AS AS
AS B CS
CS C S
+=
+=
=+
g
gg
g
‘
(1 )
1
ASSASB
AS A A V
CS C C V
tV ASCSV AA CC
t
V
AA CC
rrkCP
CKPC
CKPC
CC C C C KPKP
C
C
KP KP
−==
=
=
=+ + = + +
=++
g
g
g
gg
‘
‘
11
ASSASB
St AAB AB
A
AA CC AA CC
rrkCP
kCK PP kPP
r
KP KP KP KP
−==
−= =
++ ++
g
0
0.5
1
1.5
2
2.5
0 2 4 6 8 10 12
-rA’-(mol/gcat-s)
Pc-(atm)
( )
( )
( )
0
0
1
1
1
AS V A A V A A
CS V C C V C A
X
CCKPCKP
X
X
CCKPCKP
X
ε
ε
•
•
−
== +
== +
( )
1(4)(1 0.8) 1
(13)(0.8) 13
A
AS
CS C
KX
C
CKX
•
•
−−
== =
( )
( )
( )
( )
0
0
1
1
1
1
1 13
4
0.235
AS V A A V A A
CS V C C V C A
AS C S
AC
C
A
X
CCKPCKP
X
X
CCKPCKP
X
CC
KXKX
XK
XK
X
ε
ε
•
•
••
−
== +
== +
=
−=
−==
=
00
00
00
00
0
2
0
0
1
‘
1X
( ), ( )
11
111 1
1X
1()()
11
1
()
1
XX
AA CC
AA
AAB
AB A C A
XAA CA
A
A
dX K P K P
W F F dX
rkPP
X
PPP PP
XX
X
KP KP
XX
W F dX
X
kP
X
εε
ε
εε
ε
++
==
−
−
== =
++
=−−=−
−
++
++
=−
+
∫∫
∫
P10–13)(a))
Proposed$Single$site$Mechanism:$$
22
222
22
2
”
1
”
2
”
1
‘
2
SHO SHO
SHO SH O
SH S H
SO S
⎯⎯→
+•
←⎯⎯
•⎯⎯→•+
⎯⎯→
•+
←⎯⎯
+⎯⎯→
2
2
2
‘
‘
()
SHO
AD AD v H O
HO
C
rkCP
K
•
=−
$
Rate$of$surface$reaction:$
P10–13)(b))Continued$
Rate$of$surface$reaction:$
22
‘
(/K)
ssSHO SH S
rkC C
••
=−
$$$$$$$———-$(1)$!
Rate$of$desorption:$
222
()
DDSH HHv
rkC KPC
•
=−
$
Assuming,$surface$reaction$to$be$rate$limiting,$we$get$
——-$(3)$
Equating$(2)$and$(3),$we$get$
22 2 22 2
22 2 2
‘
(1 )
t
v
OO O H O H
OO HOHO
SS
C
CKP KK PP
KP K P
KK
=
++ + +
P10–14)continued$
At$low$temperature$and$low$pressure$
$
These$fit$the$low–pressure$data$
At$high$pressure$
10–36$
P10–15)
$
$
P10–16)(a))
Using$Polymath$non–linear$regression$few$can$find$the$parameters$for$all$models:$
(1)$
POLYMATH)Results
Nonlinear)regression)(L–M))
b 0.1 –0.0308691 0.1311507
Precision
R^2 = 0.7852809
10–37$
P10–16)(a))Continued$
$(2)$
POLYMATH)Results
Nonlinear)regression)(L–M))
Model: rT = k*PM/(1+KM*PM)
Variable Ini guess Value 95% confidence
(3)$
POLYMATH)Results
Nonlinear)regression)(L–M))
Model: rT = k*PM*PH2/((1+KM*PM)^2)
Variable Ini guess Value 95% confidence
(4)$
POLYMATH)Results
Nonlinear)regression)(L–M))
Model: rT = k*PM*PH2/(1+KM*PM+KH2*PH2
Variable Ini guess Value 95% confidence
10–38$
P10–16)(b))
We$can$see$from$the$precision$results$from$the$Polymath$regressions$that$rate$law$(2)$best$describes$the$
P10–16)(c))Individualized$solution$
)
P10–16)(d)))
We$have$chosen$rate$law$(2)$
Proposed$Mechanism$
()
MS
AD AD v M
M
C
rkCP
K
•
=−
$
Rate$of$surface$reaction:$
———-$(1)$
Assuming,$surface$reaction$to$be$rate$limiting:$
—————–$(2)$
Now,$applying$site$balance$
$
Putting$in$Equation$(2),$we$get$
1
sMtM
s
MM
kK CP
r
KP
⇒=+
––A$better$solution$is$to$put$this$equation$directly$into$polymath.$