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Welcome back, we had started to look at this problem yesterday example 3.2. Let me read
it out again for completeness, today. Ethanol is probably one of the most popular products
in the bio industry with the large number of uses. It is also an alternative bio fuel;
during the processing of ethanol post production in the bioreactor, it is subject to conditions
of 35 degree C, at which temperature, the vapour pressure is 1.3 into 10 power 4 pascals.
Assuming that only ethanol is present, estimate the volumes of the saturated vapour and the
saturated liquid at 35 degree C using the Redlich-Kwong equation of state. This was
the problem or the example that was presented. And then I had also given you some hints and
time to work it out. Hopefully you had worked out the solution in full. We will any way
present the solution now, after these hints.
The hints were to use the Redlich-Kwong equation. We need to find the Redlich-Kwong constant,
constants a and b for ethanol, and I had asked you to find that out first. You had to look
at the appropriate appendix. And then find the vapour volume using the redlich-kwong
equation and an iterative procedure. The question was what would the initial guess be? The initial
guess is the ideal, the volume that one obtains from the ideal gas equation. And then the
other hint was to find out the liquid volume, which is the next part of the solution using
the Redlich-Kwong equation of state and an iterative procedure. In this case, the initial
gas was going to be the volume of the molecules as given by the constant b.
So, the solution itself in terms of numbers to for you, to verify yours. The constants
a and b can be obtained from the equations that give the constants in terms of the critical
values. The critical values are available in the appendix B, this is the actual appendix
which of Smith van ness and Abbott, which gives you the values of the critical parameters,
critical temperature, critical pressure. And from appendix b, the critical values of ethanol
are critical temperature T c is 513.9 Kelvin and the critical pressure is 61.48 bar. It
will be good to visualize, what exactly these mean in terms of your P v diagram, P versus
v diagram. The top point of the domb with under which you have the saturated region
or in the P T diagram it is essentially the point at the end point of the line, the vaporisation
line there. Upon substitution of these values into equation
3.10 and 3.1,1 which give you the expressions for a and b. This is 0.42748 into R squared
into T bar 2.5, 513.9 bar 2.5. R of course, in the relevant units is 8.314 divided by
P c this is 61.48 bar. Therefore, we need it in Newton per meter square and therefore,
you need to multiply it by 10 power 5. This value turns out to be 28.7739 newton per meter
squared per mole squared per kelvin to the power of 0.5.
I am giving you 4 digits here, because this is the calculation, 4 is reasonably fine.
When you are working with experimental values you need to be a little careful with the number
of digits that you get here. Although your calculations would give you a large number
of digits, your calculator would give you a large number of digits. They usually do
not make much sense given the accuracy with which the measurements can themselves be made.
The confidence with which measurements can be made is probably limited to 1 or 2 decimal
places after this and therefore, it may not make sense to give experimental values in
terms of a large number of decimal places. Whenever, it becomes relevant I will mention
it again but, in this case it is a turns out to be 28.7739 Newton per Newton meter square
per mole square Kelvin to the power of 0.5. Similarly, b in terms of the critical values
is 0.08664, this was the constant in the equation times R 8.314 times T c, which is 513.9 divided
by T c, which turns out to be 6.021 into 10 power minus 5 meter cubed per mole. This is
the volume of the molecules.
Now, that we have this, the second part is to find out the gas volumes and that can be
or the vapour volume and that can be done through the equation of 3.12. You can go back
and check it is essentially an equation that is set up to find out volumes for a gas. The
convergence in this case were this iterative solution happens in one step or in two steps.
When we use the ideal gas volume we, if we look at RT by P as the initial gas V 0, which
is the initial gas turns out to be 0.197 meter cube per mole and this is the equation that
we considered for the iteration. And V 2, which is after two iterations turns out to
be0.1964 meter cube per mole and since the difference between this and the V 1 value
is less than certain acceptable percent in this case very less. This can be taken as
the volume of the saturated vapour. This is nice, it just turned out that the solution
was closed to the initial gas. So, we do not have to do too many iterations. Sometimes
we may have to do a large number of iterations in, which case its best to feed this into
a computer that does it or write a program, computer program that does it in terms of
excel and so on so forth m s excel or write a program to do it in terms of any of these
standard programming languages.
So, this is the second part. The third part was to find out the liquid volume. This gain
the liquid volume, we needed to use another formulation to avoid the dropping of the second
term because you had a V minus V term earlier if you recall that. You can go back and check
why we had used a different polynomial formulation for this iterations this set of iterations.
V n plus 1 equals b squared plus b R T by P minus a by P T power 0.5 the inverse of
this into V n cubed minus R T by P V n squared minus a b P T power 0.5.
If we do the iterations here with an initial gas, as b the volume of the molecules 6.01
into 10 power minus 5 meter cube per mole. The conversions happens in about 6 iterations
to give you a value of 7.655 into 10 power minus 5 meter cubed per mole as the volume
of the saturated liquid.
So, that is the numerical solution. Please check it if you have any doubts, any clarifications
that are needed you can always get back. Now, let us look at something called generalized
correlations. To see this in the context of whatever we have already seen, we have already
seen ideal gas law which is applicable only to ideal gases, very few gases. Virial equations
which is applicable to a wider variety of gases and the cubic equations the van-der-waals
and redlich-kwong are the examples of cubic equations of state that we saw. These are
applicable to a gas or a liquid state of a pure substance.
Now, we are going to see a formulation that is applicable to almost all gases. Where in
a very few, these generalized correlations are applicable to almost all gases and that
is our interest in such a formulation. These generalized correlations are usually written
in terms of what are called Reduced properties. Reduced property is nothing but, you take
a value let us say if you are talking of reduced temperature you take the actual temperature.
Take the ratio of the actual temperature to the critical temperature of that your substance
then you get reduced temperature. As we go along the generality of this particular use
will become very apparent.
But, let us start with the definitions themselves. Reduced pressure is nothing but, which is
represented as P r is defined as the actual pressure to the critical pressure. Reduced
temperature we already solved T r is defined as the actual temperature to the critical
temperature and reduced molar volume which is represented as V r is defined as V which
is the actual molar volume divided by the critical molar volume.
Usually, we start out with one of these equations; in this case we will start with the redlich-kwong
equation of state and write it in a generalized form. To do that, what we will do is multiply
both sides of equation 3.7. You can go back and check equation 3.7 is nothing but, the
redlich-kwong equation of state. If you multiply that by, V by R T you will get in fact I would
like you to do this right now, let me first present the equation.
Z the compressibility factor is 1 by 1 minus h minus a by b R T power 0.5 into h by 1 plus
h, where h that we have defined, which we have introduced here is nothing but, b by
the molar volume or in terms of the compressibility factor it is b P by Z R T. Now V can be written
as Z R T by P and therefore, you get b P by Z R T. What I would like you to do is just
do not take this one face value, there are some, which we may have to do because of the
scope of this course itself. But, in this case its straight forward substitution
and substitution in terms of critical properties and finding out this particular expression.
I would like you to take the next 10 minutes to start out with the Redlich-Kwong equation,
multiply both sides by V by R T and bring it to this form. Please go ahead and do this
and convince yourself that this is indeed the correct expression. Go ahead please 10
minutes.
Hopefully, you would have arrived at this expression here which is by mere substitution
and grouping b by V as h and some transposition may be required, may be more of grouping of
terms is required to get this expression.
We have already seen that a and b can be expressed in terms of critical properties. 3.10 and
3.11, and this T c can be written in terms of the reduced properties. You know T r is
nothing but, T by T c therefore; T T c is nothing but, T by T r. If we do that and substitute
these expressions for a and b in the earlier formulation which is this. Z equals 1 by 1
minus h minus a by b R T power 1.5 into h by 1 minus h. We do that here you have a and
b here we are going to substitute here. We will get Z equals 1 by 1 minus h minus combine
all those constants together you get 4.934 divided by T r power 1.5 into h by 1 plus
h, we will call this equation 3.15. And h we said was b by V and that can be written
in terms of, the combination of 0.08664 P r by Z T r, we will call this equation 3 16.
It so happens, that any equation of state can be written in terms of the compressibility
factor and reduced properties. If it is written in that way or written in that form, it is
called the generalized equation of state. And in such a case the advantage, the big
advantage is, the only data that one requires to use that equation is are the critical properties
that are usually found in tables such as the one that is available in your textbook.
Whatever, we have said just now has already been formalized, you know when something is
formulized then there is a significant confidence in that formalism to use it in general. The
whatever we have said so far in the generalized equations of state is actually been formalized
into a theorem called the two-parameter theorem. Which is essentially states, that all fluids
have approximately the same compressibility factor when compared at the same reduced temperature
and reduced pressure. Or in other words they all deviate from the ideal gas behaviour by
about the same extent. Those essentially is saying the same thing that we have mentioned
earlier but, this brings in another prospective. Let us read the first sentence again to understand
this prospective. All fluids have approximately the same compressibility factor, when compared
at the same reduced temperature and reduced pressure. And from this just by using the
reduced temperature and reduced pressure appropriately and using the compressibility factor we have
information about a large variety of gases that is the advantage here. The theorem that
we just mentioned the two-parameter theorem and it is consequences gave a results that
were better compared to the ideal gas equations, for ideal gas equation for some simple fluid
such as argon, krypton, xenon. So, there was some level of generalization
there but, not the level that was acceptable. Therefore, or significant deviations from
the experimental values were found for other fluids apart from these so called simple fluids
such as argon, krypton, xenon. And the way to handle that was to bring in
another corresponding state parameter, in addition to this reduced pressure and reduced
temperature. Now, we can see why this is called the corresponding states parameter, compare
this state, this word corresponding states parameter this phrase with the theorem here
all fluids have approximately the same compressibility factor when compared at the same reduced temperature
and reduced pressure. You would understand why we are calling this a corresponding state
parameter.
And when we are looking, when the third parameter was looked into to improve the predictions.
Pitzer and co-workers came up with a parameter called the Acentric factor. Which we will
represent by this letter omega here. What they found was, this was experimentally found
by analysing a large amount of data. They observed that the logarithm of the reduced
vapour pressure of a species or of a pure substance is linearly related to the inverse
of the reduced temperature. This was a powerful kind of information that was gathered from
a large amount of data or in other words the logarithm of the reduced vapour pressure P
r sat. Saturated pressure is the vapour pressure that we are talking about, is a constant times
1 by T r. It is linearly related to the inverse of the reduced temperature. We will call this
equation 3.17. And further it was observed that at a reduced
temperature of 0.7, the value of the logarithm of these saturated reduced pressures was minus
one for simple fluids. So, what is dead was it will lead to an interpretation that the
deviation of the log of P r sat for other gases at reduced temperature of 0.7 is a single
measurement that you need to differentiate between this the simple fluids that follow
the two-parameter theorem and all other fluids. And most importantly it is just one measurement.
The deviation of log of P r sat at T r 0.7 can be used as a convenient parameter that
is applicable to all gases. That is in other words this acentric factor can be used as
a convenient parameter. The Acentric factor therefore, you know right from this thing
here that at T r equals 0.7 log of P r sat was minus one for simple fluids and therefore,
the difference between this and this or the deviation here would come in as a factor that
would represent something apart from the simple fluids that was the thinking.
And therefore, the acentric factor was defined as minus 1 minus log, the natural log of P
r sat at a reduced temperature of 0.7. Let me repeat this once again for completeness,
the two-parameter theorem said that at the same reduced temperature and reduced pressure
all gases have the same compressibility factor. And then they found that that theorem was
only applicable only to simple fluids and not to all fluids all, not all gases and therefore,
the way of improving the two-parameter theorem was to bring in a third parameter. And search
for the third parameter led to something called an Acentric factor by pitzer and co-workers.
This came about from the observation that the logarithm of P r sat for a large number
of gases is directly proportional to the inverse of the reduced temperature and also that was
one aspect. The other aspect was at a T r of 0.7 at a
reduced temperature of 0.7. The value of log of P r sat was minus 1 for simple fluids and
therefore, the deviation from minus 1 at of the log P r sat value at a T r of 0.7 would
possibly give us a parameter that we are looking for, that was the thinking. And that was actually
defined as the acentric factor minus 1 minus the natural log of P r sat at T r equals 0.7.
We will call this equation 3.18. As mentioned earlier, when I had presented
this. I mentioned this but, let me mention this again, only a single measurement of the
saturated vapour pressure at a reduced temperature of 0.7 is needed when the critical parameters
are known. Therefore, we have brought down the measurements to just one additional value
to describe a large variety of gases.
This was actually formalized by the three parameter theorem of corresponding states,
all fluids with the same value of acentric factor have the same compressibility factor
when compared at the same reduced temperature and reduced pressure. That is the theorem
or in other words the all deviate from the ideal gas behaviour by about the same extent.
The generalized equation of state can be written as in terms of the acentric factor, compressibility
factor Z equals a certain Z naught plus the acentric factor and a certain Z 1 or in other
words the compressibility factor has been divided into two parts Z naught part and Z
1 part multiplied by the acentric factor. This has now become the equation of state,
we will call this equation 3.19. Why it is written in this from is that the
values of Z naught and Z 1 are available readily in tables. So, one can use those tables and
directly calculate the compressibility factor. Here one or few such tables are given in appendix
E of your textbook smith van ness and abbott. What I would like you to do is now is to familiarize
yourself with these tables. Please go to appendix E of your textbook Smith van ness and Abbott
and look at what how these numbers are given there or how these values are given there
Z naught and Z 1? Take about 5 minutes please.
Now, that you have you have familiarized yourself with the listing of Z naught and Z 1 values
and acentric values are also available in a table and the appendix. Let us look at things
a little further, the tabulated values actually were calculated by a correlation that was
given by Lee and Kesler. And these values give very good predictions within about 3
percent of the very carefully measured experimental values, but, for non-polar and slightly polar
gases. Therefore, we have generalized this, but, not completely these gases, non-polar
gases and slightly polar gases are fine, but, not the others.
They do not work for the highly polar gases and gases that associate or quantum gases
also do not work very. We need to be a little careful when we apply the generalized equation
of state to these gases for highly polar gases, gases that associate or quantum gases. Further,
you can get liquid properties or in other words you can use those equations when you
are considering the liquid state but, the accuracy of the values is not very high.
Suppose, the table of Z naught and Z 1 values are not available to you or the values are
in a range that are not directly given in the table and reading of the table becomes
difficult. In such cases, you can use the analytical expressions for Z naught and Z
1. I am just going to present these analytical expressions; we are not going to get into
the origins of these analytical expressions. So, useful to know this; instead of using
the table, you can use this, if there is a need to use it. One should always go the first
preference to use the tabulated values. Z naught is 1 plus B naught P r by T r, equation
3.20; and Z 1 is B 1 P r by T r, equation 3.21. B naught is nothing but 0.083 minus
0.422 divided by the reduced temperature to the power of 1.66, equation 3.22; and B 1
is 0.139 minus 0.172 divided by reduced temperature to the power of 4.2, equation 3.23. What we
would do next is to work out a problem to become familiar with the application of these
generalized equations of state; and I think since we are almost run out of time, we will
start doing that in the next class.