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Warianty tytułu
Języki publikacji
Abstrakty
Theoretical and numerical modeling of flow transients in pipelines is a challenging field of research. The governing flow equations constitute a system of nonlinear hyperbolic partial differential equations enforcing the conservation laws for mass, momentum and energy. The application of these mathematical models might be limited due to the absence of complete knowledge about the physical phenomena and uncertainties. Information about the initial and boundary conditions is usually obtained from measurements. The presence of noise and inaccuracies, as well as inexactness of the flow model and numerical approximations for solving the full model can lead to predictions that differ from reality. In this paper, we deal with the problem of extracting information about states of the system in real time given noisy measurements. We solved the isothermal flow model during a hydraulic shock while using the extended Kalman filter to estimate the hidden state variables. To avoid spurious oscillations in the solution, the flow model in conservative form was solved using Roe’s flux limiter within the finite volume framework to ensure the total variation diminishing property. Numerical approximation of the Jacobian was done with an adaptive routine and showed that most entries in the matrix are zero and therefore sparse. The robustness of the extended Kalman filter was examined by varying the noise statistics. In most of the situations, we can conclude that the extended Kalman filter was successful in estimating the rapid transients of natural gas.
Rocznik
Tom
Strony
97--110
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
autor
- Gas Engineering Group, Warsaw University of Technology, Poland
Bibliografia
- 1. Abbaspour M., Chapman K. S.: Nonisothermal transient flow in natural gas pipeline. ASME. J. Appl. Mech. 75, no. 3 (2008), 031018–031018-8.
- 2. Chaczykowski M.: Transient flow in natural gas pipeline – the effect of pipeline thermal model. Appl. Math. Model. 34, no. 4 (2009), 1051–1067.
- 3. Chen Z.: Bayesian Filtering: From Kalman Filters to Particle Filters, and Beyond. Technical report, Communications Research Laboratory, McMaster University, Canada 2003.
- 4. Durgut I., Leblebiciogˇlu K.: Kalman-Filter observer design around optimal control policy for gas pipelines. Internat. J. Numer. Methods Fluids 24, no. 2 (1997), 233–245.
- 5. Gelb A.: Applied Optimal Estimation. MIT Press, Cambridge 1974.
- 6. Griffiths G., Schiesser W.: Traveling Wave Analysis of Partial Differential Equations: Numerical and Analytical Methods with Matlab and Maple. Academic Press, Amsterdam 2011.
- 7. Harten A.: High resolution schemes for hyperbolic conservation laws. J. Comput. Phys. 49, no. 3 (1983), 357–393.
- 8. Helgaker J. F., Muller B., Ytrehus T.: Transient flow in natural gas pipelines using implicit finite difference schemes. ASME. J. Offshore Mech. Arct. Eng. 136, no. 3 (2014), 031701–031701–11.
- 9. Helgaker J. F., Oosterkamp A., Langelandsvik L. I., Ytrehus T.: Validation of 1D flow model for high pressure offshore natural gas pipelines. J. Natural Gas Sci. Eng. 16 (2014), 44–56.
- 10. Jazwinski A.H.: Stochastic Processes and Filtering Theory. Academic Press, New York 1970.
- 11. Kalman R.E.: A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng., Ser. D 82 (1960), 34–45.
- 12. Kaipio J., Somersalo E.: Statistical inverse problems: discretization, model reduction and inverse crimes. J. Comput. Appl. Math.198, no. 2 (2007), 493–504.
- 13. Kiuchi T.: An implicit method for transient gas flows in pipe networks. Int. J. Heat Fluid Flow 15, no. 5 (1994), 378–383.
- 14. Langelandsvik L., Postvoll W., Aarhus B., Kaste K.: Accurate calculation of pipeline transport capacity. Proceedings to World Gas Conference 2009.
- 15. Maybeck P.S.: Stochastic Models, Estimation and Control: Volume 1. Academic Press, New York 1979.
- 16. Ozawa A., Sanada K.A.: Kalman filter for estimating transient pressure and flow rate in a pipe. In SICE Annual Conference, Japan 2011.
- 17. Roe P.L.: Characteristic-based schemes for the Euler equations. Annu. Rev. Fluid Mech. 18, no. 1 (1986), 337–365.
- 18. Salane D.E.: Adaptive Routines for Forming Jacobians Numerically. Technical Report SAND86-1319, Sandia National Laboratories, 1986.
- 19. Sanada K.: Using a Kalman Filter to Estimate Unsteady Flow. Int. J. Autom. Tech. 6, no. 4 (2012), 440–444.
- 20. Sweby P.K.: High resolution schemes using flux limiters for hyperbolic conservation laws. SIAM J. Numer. Anal. 21, no. 5 (1984), 995–1011.
- 21. Thorley A.R.D., Tiley C.H.: Unsteady and transient flow of compressible fluids in pipelines-a review of theoretical and some experimental studies. Int. J. Heat Fluid Flow 8, no. 1 (1987), 3–15.
- 22. Van Leer B.: Towards the ultimate conservative difference scheme V. A second order sequel to Godunov’s method. J. Comput. Phys. 32 (1979), 101–136.
- 23. Vianna F.L.V., Orlande H.R.B., Dulikravich G.S.: Estimation of the temperature field in pipelines by using the Kalman filter. In 2nd International Congress of Serbian Society of Mechanics, Serbia 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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