Abstract

Field testing of gas compressor packages requires the accurate determination of efficiency, capacity, head, and power in sometimes less than ideal working environments. The results of field tests have significant implications for the compressor manufacturers and their customers, as economic considerations demand that the performance and efficiency of an installation are verified to assure a project's return on investment. Thus, for the compressor manufacturers, as well as for the end user, an accurate determination of the compressor performance in the field is of vital interest. While field performance tests have to be executed under conditions dictated by the situation at site, factory test codes like ASME PTC10 and International Organization for Standardization (ISO) 5389 provide guidance. The former code was recently revised, so a discussion of this revised code in the context of site performance testing is appropriate. A key change in PTC10 is the method to calculate polytropic work, which affects data reduction. It also affirms a method to calculate error propagation and test uncertainties. The discussion includes the appropriate use of equations of State (EOS) and the definition of steady-state requirements. Different methods to define valid operating conditions for the test based on similarity considerations are compared. However, field tests, unlike factory tests, are ultimately conducted based on the conditions at site that may or may not conform with test codes. Therefore, calculation of test uncertainties and the use of observations not covered by the codes are emphasized. The paper attempts to provide guidance for the conduct of field performance tests.

References

1.
ASME
,
2022
, “
ASME Performance Test Code, PTC 10 -2022, Performance Test Code on Compressors and Exhausters
,” ASME, New York.
2.
ISO 5389-1992
,
1992
,
Turbocompressors – Performance Test Code
,
International Standards Organization
, Geneva, Switzerland.
3.
Janssen
,
S.
,
Paetzold
,
P.
,
Emde
,
A.
, and
Kurz
,
R.
,
2014
, “
Modernization of the Equipment of a Head Compressor Station
,”
ASME
Paper No. GT2014-25135.10.1115/GT2014-25135
4.
Casari
,
N.
,
Pinelli
,
M.
,
Fadiga
,
E.
,
Suman
,
A.
,
Kurz
,
R.
,
Davis
,
K.
, and
Marin
,
F.
,
2020
, “
Assessment of Non-Standard Procedure in Field Testing of Gas Turbine Driven Centrifugal Compressors
,”
ASME
Paper No. GT2020-15938.10.1115/GT2020-15938
5.
Kurz
,
R.
,
2022
,
Introduction to Centrifugal Compressors for Oil and Gas Applications, Solar Turbines Incorporated
,
San Diego, CA
.
6.
Kurz
,
R.
,
Davis
,
K.
,
Kaiser
,
R.
,
McBain
,
M.
, and
Brun
,
K.
,
2021
, “
Site Performance Testing of Centrifugal Compressors and Gas Turbine Drivers
,”
Proceedings of 50th Turbomachinery Symposium
,
Houston, TX
, Dec., pp.
1
36
.https://hdl.handle.net/1969.1/196744
7.
Brun
,
K.
, and
Nored
,
M.
,
2006
, “
Guideline for Field Testing of Gas Turbine and Centrifugal Compressor Performance
,” Release 2.0, Gas Machinery Research Council, Dallas, TX.
8.
Brun
,
K.
, and
Kurz
,
R.
,
2001
, “
Measurement Uncertainties Encountered During Gas Turbine Driven Compressor Field Testing
,”
ASME Trans. ASME J. Eng. Gas Turbines Power
,
123
(
1
), pp.
62
69
.10.1115/1.1340628
9.
Kurz
,
R.
, and
Brun
,
K.
,
2005
, “
Site Performance Test Evaluation for Gas Turbine and Electric Motor Driven Compressors
,”
Proceedings of 34th Turbomachinery Symposium
,
Houston, TX
, Sept. 12–15, pp.
53
62
.https://oaktrust.library.tamu.edu/server/api/core/bitstreams/5aec7220-a41a-40d1-8435-8a4049e8d4c7/content
10.
Poling
,
B. E.
,
Prausnitz
,
J. M.
, and
O'Connell
,
J. P.
,
The Properties of Gases and Liquids
,
McGraw-Hill
, New York.
11.
Kumar
,
S. K.
,
Kurz
,
R.
, and
O'Connell
,
J. P.
,
1999
, “
Equations of State for Gas Compressor Design and Testing
,”
ASME
Paper No. 99-GT-12.10.1115/99-GT-12
12.
Sandberg
,
M.
,
2017
, “
A More Comprehensive Evaluation of Equation of State Influences On Compressor Performance Determination
,”
Proceedings of 46th Turbomachinery Symposium
,
Houston, TX
, Dec. 12–14, pp.
1
50
.https://hdl.handle.net/1969.1/163234
13.
Kurz
,
R.
,
Srinivasan
,
A.
,
Lubomirsky
,
M.
,
Zamotorin
,
R.
, and
Singh
,
A.
,
2023
, “
Performance Maps For Centrifugal Compressors
,”
Gas Machinery Conference 2023
,
Phoenix, AZ
, Oct. 1–4, pp.
1
29
.
14.
Haesselbarth
,
W.
,
2006
, “
Guide to the Evaluation of Measurement Uncertainty for Quantitative Test Results
,” Eurolab, Brussels, Belgium, Eurolab Technical Report No. 1/2006.
15.
Kurz
,
R.
, and
Brun
,
K.
,
2015
, “
On Test Uncertainties in Field Performance Tests
,”
ASME
Paper No. GT2015-42035.10.1115/GT2015-42035
16.
ASME
,
2018
, “
ASME Performance Test Code PTC 19.1
,” ASME, New York.
17.
Gilarranz
,
R. J. L.
,
2005
, “
Uncertainty Analysis of a Polytropic Compression Process and Application to Centrifugal Compressor Performance Testing
,”
ASME
Paper No. GT2005-68381.10.1115/GT2005-68381
18.
Gilarranz
,
R.
, and
José
,
L.
,
2006
, “
Uncertainty Analysis of Centrifugal Compressor Aero Performance Test Data: Effect of Correlated Systematic Error
,”
ASME
Paper No. GT2006-90955.10.1115/GT2006-90955
19.
Moffat
,
R. J.
,
1988
, “
Describing the Uncertainties in Experimental Results
,”
Exp. Therm. Fluid Sci.
,
1
(
1
), pp.
3
17
.10.1016/0894-1777(88)90043-X
20.
Colby
,
G.
,
2005
, “
Hydraulic Shop Performance Testing of Centrifugal Compressors
,”
Proceedings of 34th Turbomachinery Symposium
, Houston, TX, Sept. 12–14, pp.
147
154
.https://hdl.handle.net/1969.1/163222
21.
Schultz
,
J. M.
,
1962
, “
The Polytropic Analysis of Centrifugal Compressors
,”
ASME Trans. ASME, Ser. A J. Eng. Power
,
84
(
1
), pp.
69
82
.10.1115/1.3673381
22.
ASME
,
1997
, “
ASME Performance Test Code, PTC 10 -1997, Performance Test Code on Compressors and Exhausters
,” ASME, New York.
23.
Sandberg
,
M. R.
, and
Colby
,
G. M.
,
2013
, “
Limitations of ASME PTC 10 in Accurately Evaluating Centrifugal Compressor Thermodynamic Performance
,”
Proceedings of the 42nd Turbomachinery Symposium
,
Texas A&M University
, Houston, TX, Oct. 1–3, pp.
1
16
.https://core.ac.uk/download/pdf/147258457.pdf
24.
Evans
,
B. F.
, and
Huble
,
S. R.
,
2017
, “
Centrifugal Compressor Polytropic Performance: Consistently Accurate Results From Improved Real Gas Calculations
,”
ASME
Paper No. GT2017-65235.10.1115/GT2017-65235
25.
Huntington
,
R. A.
,
1985
, “
Evaluation of Polytropic Calculation Methods for Turbomachinery Performance
,”
ASME J. Eng. Gas Turbines Power
,
107
(
4
), pp.
872
876
.10.1115/1.3239827
26.
Sandberg
,
M. R.
,
2020
, “
A More Detailed Explanation of the Sandberg-Colby Method for the Evaluation of Centrifugal Compressor Thermodynamic Performance
,” ResearchGate, Berlin, Germany, accessed Jan. 2, 2024, https://www.researchgate.net/publication/340208745
27.
Stoer
,
J.
, and
Bulirsch
,
R.
,
1980
,
Introduction to Numerical Analysis
,
Springer-Verlag
,
New York
.
28.
Kurz
,
R.
,
Brun
,
K.
, and
Legrand
,
D. D.
,
1999
, “
Field Performance Testing of Gas Turbine Driven Compressor Sets
,”
28th Turbomachinery Symposium
,
Houston, TX
, Sept., pp.
213
230
.https://hdl.handle.net/1969.1/163389
29.
Lemmon
,
E. W.
,
Bell
,
I. H.
,
Huber
,
M. L.
, and
McLinden
,
M. O.
,
2018
, “
NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties − REFPROP
,” Version 10.0,
National Institute of Standards and Technology, Gaithersburg, MD
.
30.
American Gas Association (AGA)
,
1994
, “
Compressibility Factors of Natural Gas and Other Related Hydrocarbon Gases
,” American Gas Association, Washington, DC, Report No. 8.
31.
Kunz
,
O.
, and
Wagner
,
W.
,
2012
, “
The GERG-2008 Wide Range Equation of State for Natural Gases and Other Mixtures: An Expansion of GERG-2004
,”
J. Chem. Eng. Data
,
57
(
11
), pp.
3032
3091
.10.1021/je300655b
You do not currently have access to this content.