Effect of MW on Compressors
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HOME PUBLIC COURSES IN-HOUSE COURSES OPERATOR TRAINING TIP OF THE MONTH REQUEST INFO
NOVEMBER 2008
Effect of gas molecular weight on centrifugalcompressor performance
In this tip of the month (TOTM) we will present the results of several case
studies showing the effect of gas molecular weight on the performance and
efficiencies of centrifugal compressors. We have considered several what if
scenarios such as variation of compressor speed as a function of molecular
weight, while maintaining the same suction and discharge pressures and mass
flow rate. Variation of polytropic head and efficiencies as a function of gas
molecular weight for a given compression ratio, and compressor speed hasalso been studied. In addition, the impact of thermodynamic properties
package has been studied.
Compressors can be generally classified in two categories:
1. Positive displacement; this type of compressor includes reciprocating,
rotary screw, sliding vane, liquid ring and rotary lobe. The compression
principle is volumetric displacement reducing the gas volume increases
pressure.
2. Kinetic or Dynamic: this type of compressor includes centrifugal and
axial compressors. The compression principle is acceleration and
deceleration of the gas kinetic energy is converted to pressure rise.
Reciprocating and centrifugal compressors are the most popular compressors
used in E & P applications. Rotary screw compressors are gaining in popularity
in low to moderate pressure gas boosting service, refrigeration systems and
fuel gas compression for gas turbines. Further detail may be found in reference
[1].
From a calculation viewpoint alone, the power calculation is particularly
sensitive to the specification of flow rate, inlet temperature and pressure, and
outlet pressure. Gas composition is important but a small error here is less
important providing it does not involve the erroneous exclusion of corrosive
components. A compressor is going to operate under varying values of the
variables affecting its performance. Thus the most difficult part of a
compressor calculation is specification of a reasonable range for each variable
and not the calculation itself. Maddox and Lilly [2] emphasize that using a
single value for each variable is not the correct way to evaluate a compressionsystem.
Normally, the thermodynamic calculations are performed for an ideal
(reversible process). The results of a reversible process are then adapted to
the real world through the use of an efficiency. In the compression process
there are three ideal processes that can be visualized: 1) an isothermal
process, 2) an isentropic process and 3) a polytropic process. Any one of these
processes can be suitably used as a basis for evaluating compression power
requirement by either hand or computer calculation. The isothermal process,
however, is seldom used as a basis because the normal industrial compression
process is not even approximately carried out at constant temperature.
Due to practical limitation the compression ratio per stage is often in the range
between 2 and 6. For large overall compression ratio applications multistage
compressors are used. The choice of the interstage pressure is an economicdecision and can be estimated by equal compression ratios for each section but
may be adjusted to minimize total power requirement.
In order to study the effect of feed gas molecular weight on the performance of
centrifugal compressors, several computer simulations using HYSYS [3] were
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performed. The gas mixtures with the composition shown in Table 1 with
molecular weights ranging from 18.2 to 23.17, corresponding to relative
density of 0.63 to 0.80, respectively, were used in this study. The
characteristics curves for the centrifugal compressors used in this study are
shown in Figures 1 and 2. These performance curves were supplied to the
simulation software and used in the course of simulations.
Case 1: Effect of Molecular Weight on Flow Rate for Fixed ?P (Constant
Speed)
For a fixed inlet pressure of 700 kPa, 35 C, and 15000 RPM, the feed gas
relative density was varied from 0.63 to 0.80 with an increment of 0.05. In
order to maintain the outlet pressure, the feed flow rate has to vary. We are
essentially fixing P1 and P2 and wanting to see the effect on the compressor of
varying molecular weight feed. The set up shown in Figure 3 was used to
generate the simulation results. The simulation results for compression ratios
of 2.0 and 2.5 are shown in Figure 4. The PR EOS [4] is used for
thermodynamic properties calculations.
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Figure 4 indicates that as the relative density decreased, the flow rate must
decrease. Note, for the case of compression ratio of 2.5, no convergence could
be achieved for relative density of 0.63 and 0.65 due to the fact the surge limit
had been reached. For the same case, the required power as a function ofrelative density is shown in Figure 5. Since, the flow rate decreased with
decreasing relative density, the required power decreased.
Finally, the variation of polytropic head as a function of inlet actual volumetric
flow rate is shown in Figure 6. Note that the relative densities are identified on
this diagram to show their influence on the performance of the compressor.
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Case 2: Variab le Speed
As in the case 1, for a fixed inlet pressure of 700 kPa, 35 C, and mass flow
rate of 1000 kmol/hr, the feed gas relative density was varied from 0.63 to
0.80 with an increment of 0.05. In this case, the compressor is varying speed
to maintain flow rate at the P speed imposed on it. The schematic setup to
generate simulation results is shown in Figure 7. The simulation results for
compression ratios of 2.0 and 2.5 are shown in Figures 8 and 9. In addition to
the results by the PR EOS, the results obtained by BWRS are shown on these
diagrams. The difference between the results of these two EOS for these cases
is negligible.
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As shown in Figure 8, as the relative density increases, the compressor speed
dropped. However, as relative density or molecular weight increased, the
required power increased, see Figure 9.
As shown in Figures 10 and 11, the polytropic efficiency and head decrease
with relative density. More detail of simulation results can be found in
Reference [5].
Conclusions
The impact of relative density (molecular weight) on the performance of a
centrifugal compressor was studied by performing a series of computer
simulations. Based on the simulation results, it is found that:
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1. For the same feed condition, compression ratio, compressor speed, the
flow rates must decrease as the relative density decreases, and will
eventually approach a surge condition.
2. For the same feed condition, compression ratio, compressor speed, as
the relative density increases, the flow rate increases which results in
more power consumption.
3. For the same feed condition and rate, and compression ratio, the
compressor speed decreases with molecular weight but as expected, the
power requirement increases.
4. The PR EOS and BWRS EOS produced the same simulation results
To learn more about similar cases and how to minimize operational problems,
we suggest attending our ME44 (Overview of Pumps and Compressors in
Oil and Gas Facilities) , ME46 (Compressor Systems - Mechanical
Design and Specification), G4 (Gas Conditioning and Processing) , G5
(Gas Conditioning and Processing - Special) , and G7 (Process
Simulation in Gas Conditioning and Processing) courses.
By: Dr. Mahmood Moshfeghian
Reference:
Campbell, J. M., Gas Conditioning and Processing, Vol. 2, the
Equipment Modules, 8th Ed., Campbell Petroleum Series, Norman,
Oklahoma, 2001
Maddox, R. N. and L. L. Lilly, Gas conditioning and processing,
Volume 3: Advanced Techniques and Applications, John M.
Campbell and Company, 2nd Ed., Norman, Oklahoma, USA, 1990.
ASPENone, Engineering Suite, HYSYS Version 2006, Aspen
Technology, Inc., Cambridge, Massachusetts U.S.A., 2006.
Peng, Y. D., Robinson, D. B., A New Two-Constant Equation of
State, Ind. Eng. Chem. Fund., 15, 59, 1976
Moshfeghian, M., Bothamley, M., and Lilly, L.L., Feed gas
molecular weight affects performance of centrifugal efficiency, Oil
and Gas J., May 10, 2008
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