GAS TRASPORTING UNIT OPERATION MODES MODELING
Abstract
Modern Oil and Gas facilities are requiring control systems applications, upon which exclusive standards of quality, and reliable work of hardware and software are imposed. Gas and steam turbines, high-pressure boilers, oil and gas handling, storage and refining systems refer to such facilities. The main objectives of this article are the description of the software designed to simulate of multistage gas compressor operation modes with associated equipment. A check is made of the adequacy of software to real data, checking the response of the system to external influences and changes in system parameters also performed.
About the Authors
N. A. Batayev
Kazakh National Research Technical University after K. I. Satpayev
Kazakhstan
Kazakhstan
A. R. Kuzyrgaliyev
‘‘Zeinet & SSE” LLP
Kazakhstan
Kazakhstan
References
1. V. Dragan, I. Malael, and B. Gherman, “Development of a very high pressure ratio single stage centrifugal compressor,” Int. Rev. Model. Simulations, vol. 8, no. 3, pp. 347-353, 2015. DOI:10.15866/iremos.v8i3.6020.
2. K. Jones, A. Cortinovis, M. Mercangoez, and H. J. Ferreau, “Distributed Model Predictive Control of Centrifugal Compressor Systems,” IFAC-PapersOnLine, vol. 50, no. 1, pp. 10796-10801, 2017. DOI:10.1016/j.ifacol.2017.08.2343.
3. R. A. Stanley and W. R. Bohannan, “Dynamic Simulation of Centrifugal Compressor Systems,” Proc. sixth Turbomach. Symp., pp. 123-132, 1977.
4. H.-K. Li, X.-F. Wang, J.-G. Yang, P.-F. Zhao, and Y. Liu, “The effect of impeller-diffuser interactions on diffuser performance in a centrifugal compressor,” Eng. Appl. Comput. Fluid Mech., vol. 10, no. 1, pp. 565-577, 2016. DOI:/10.1080/19942060.2016.1210028
5. R. Matas, T. Syka, and O. Lunacek, “Numerical and experimental modelling of the centrifugal compressor stage - setting the model of impellers with 2D blades,” EPJ Web Conf., vol. 143, p. 02073, 2017. https://doi.org/10.1051/epjconf/201714302073.
6. V. V. N. K. S. Koyyalamudi and Q. H. Nagpurwala, “Stall Margin Improvement in a Centrifugal Compressor through Inducer Casing Treatment,” Int. J. Rotating Mach., vol. 2016, pp. 1-19, 2016. DOI:10.1155/2016/2371524.
7. H. Dehnavifard, G. Radman, and M. Kalyan, “Design and comparison of high-speed induction machine and high-speed interior permanent magnet machine,” Int. Rev. Model. Simulations, vol. 11, no. 3, pp. 151-157, 2018. DOI:10.15866/iremos.v11i3.14112.
8. K. K. Botros, P. J. Campbell, and D. B. Mah, “Dynamic Simulation of Compressor Station Operation Including Centrifugal Compressor and Gas Turbine,” J. Eng. Gas Turbines Power, vol. 113, no. 2, p. 300, 2008. DOI: 10.1115/1.2906563.
9. D. Gasparovic, M. Vyzinkar, J. Zarnovsky, and J. Blata, “Turbine Modification of Nuovo Pignone Gas Turbine,” Acta Technol. Agric., vol. 20, no. 3, pp. 74-77, 2017. DOI:10.1515/ata-2017-0015.
10. J. L. Perez-Ruiz, I. Loboda, L. A. Miro-Zarate, M. Toledo-Velazquez, and G. Polupan, “Evaluation of gas turbine diagnostic techniques under variable fault conditions,” Adv. Mech. Eng., vol. 9, no. 10, pp. 1-16, 2017. DOI:10.1177/1687814017727471.
11. M. Rahman, V. Zaccaria, X. Zhao, and K. Kyprianidis, “Diagnostics-Oriented Modelling of Micro Gas Turbines for Fleet Monitoring and Maintenance Optimization,” Processes, vol. 6, no. 11, p. 216, 2018. DOI:10.3390/pr6110216.
12. M. Benrahmoune, A. Hafaifa, M. Guemana, and X. Q. Chen, “Detection and modeling vibrational behavior of a gas turbine based on dynamic neural networks approach,” Stroj. Cas., vol. 68, no. 3, pp. 143-166, 2018. DOI:10.2478/scjme-2018-0032.
13. F. Lu, J. Jiang, J. Huang, and X. Qiu, “An iterative reduced KPCA hidden markov model for gas turbine performance fault diagnosis,” Energies, vol. 11, no. 7, pp. 1-21, 2018. DOI:10.3390/en11071807.
14. M. Adamowicz and G. Zywica, “Advanced gas turbines health monitoring systems,” Diagnostyka, vol. 19, no. 2, pp. 77-87, 2018. DOI:10.29354/diag/89730.
15. N. Batayev, “Gas turbine fault classification based on machine learning supervised techniques,” in 14th International Conference on Electronics Computer and Computation, ICECCO 2018, 2019. DOI: 10.1109/ICECCO.2018.8634719
16. N. Batayev, “Forecasting and Diagnostic of Gas Turbine Driven Gas Compression Unit Parameters,” in Materials of the IV International Scientific-Practical Conference. Sapporo, Japan, 2019, pp. 186-191.
17. N. Batayev and A. Onbayev, “Prediction of Gas Turbine Parameters based on Machine Learning Regression Methods,” Proc. 6th Int. Virtual Conf. Adv. Sci. Results, vol. 6, pp. 217-221, 2018. DOI:10.18638/scieconf.2018.6.1.495.
18. J. Liedman, “Dynamic simulation of a centrifugal compressor system,” Chalmers University of Technology, 2013.
Review
For citations:
Batayev N.A., Kuzyrgaliyev A.R. GAS TRASPORTING UNIT OPERATION MODES MODELING. Herald of the Kazakh-British technical university. 2019;16(3):39-45.
Views:
297
Email this article 