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Improving the natural gas transporting based on the steady state simulation results

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  • Szoplik, Jolanta

Abstract

The work presents an example of practical application of gas flow modeling results in the network, that was obtained for the existing gas network and for real data about network load depending on the time of day and air temperature. The gas network load in network connections was estimated based on real data concerning gas consumption by customers and weather data in 2010, based on two-parametric model based on the number of degree-days of heating. The aim of this study was to elaborate a relationship between pressure and gas stream introduced into the gas network. It was demonstrated that practical application of elaborated relationship in gas reduction station allows for the automatic adjustment of gas pressure in the network to the volume of network load and maintenance of gas pressure in the whole network at possibly the lowest level. It was concluded based on the results obtained that such an approach allows to reduce the amount of gas supplied to the network by 0.4% of the annual network load.

Suggested Citation

  • Szoplik, Jolanta, 2016. "Improving the natural gas transporting based on the steady state simulation results," Energy, Elsevier, vol. 109(C), pages 105-116.
  • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:105-116
    DOI: 10.1016/j.energy.2016.04.104
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    1. Satman, A & Yalcinkaya, N, 1999. "Heating and cooling degree-hours for Turkey," Energy, Elsevier, vol. 24(10), pages 833-840.
    2. Sarak, H & Satman, A, 2003. "The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study," Energy, Elsevier, vol. 28(9), pages 929-939.
    3. Kenisarin, Murat & Kenisarina, Kamola, 2007. "Energy saving potential in the residential sector of Uzbekistan," Energy, Elsevier, vol. 32(8), pages 1319-1325.
    4. Lochner, Stefan, 2011. "Identification of congestion and valuation of transport infrastructures in the European natural gas market," Energy, Elsevier, vol. 36(5), pages 2483-2492.
    5. Szoplik, Jolanta, 2015. "Forecasting of natural gas consumption with artificial neural networks," Energy, Elsevier, vol. 85(C), pages 208-220.
    6. Kostowski, Wojciech J. & Skorek, Janusz, 2012. "Real gas flow simulation in damaged distribution pipelines," Energy, Elsevier, vol. 45(1), pages 481-488.
    7. Lise, Wietze & Hobbs, Benjamin F., 2008. "Future evolution of the liberalised European gas market: Simulation results with a dynamic model," Energy, Elsevier, vol. 33(7), pages 989-1004.
    8. Matko, Drago & Geiger, Gerhard & Gregoritza, Withold, 2000. "Pipeline simulation techniques," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 52(3), pages 211-230.
    9. Yazdani Damavandi, Maziar & Kiaei, Iman & Sheikh-El-Eslami, Mohamad Kazem & Seifi, Hossein, 2011. "New approach to gas network modeling in unit commitment," Energy, Elsevier, vol. 36(10), pages 6243-6250.
    10. Askari, S. & Montazerin, N. & Zarandi, M.H. Fazel, 2015. "Forecasting semi-dynamic response of natural gas networks to nodal gas consumptions using genetic fuzzy systems," Energy, Elsevier, vol. 83(C), pages 252-266.
    11. Sun, Liang, 2012. "Mathematical modeling of the flow in a pipeline with a leak," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(11), pages 2253-2267.
    12. Thomas, Sydney & Dawe, Richard A, 2003. "Review of ways to transport natural gas energy from countries which do not need the gas for domestic use," Energy, Elsevier, vol. 28(14), pages 1461-1477.
    13. Monforti, F. & Szikszai, A., 2010. "A MonteCarlo approach for assessing the adequacy of the European gas transmission system under supply crisis conditions," Energy Policy, Elsevier, vol. 38(5), pages 2486-2498, May.
    14. Voropai, N.I. & Senderov, S.M. & Edelev, A.V., 2012. "Detection of “bottlenecks” and ways to overcome emergency situations in gas transportation networks on the example of the European gas pipeline network," Energy, Elsevier, vol. 42(1), pages 3-9.
    15. Sanaye, Sepehr & Mohammadi Nasab, Amir, 2012. "Modeling and optimizing a CHP system for natural gas pressure reduction plant," Energy, Elsevier, vol. 40(1), pages 358-369.
    16. Durmayaz, Ahmet & Kadıoǧlu, Mikdat & Şen, Zekai, 2000. "An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in Istanbul," Energy, Elsevier, vol. 25(12), pages 1245-1256.
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    6. Kai Wen & Zijie Xia & Weichao Yu & Jing Gong, 2018. "A New Lumped Parameter Model for Natural Gas Pipelines in State Space," Energies, MDPI, vol. 11(8), pages 1-17, July.
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    10. Ding, Hongbing & Zhang, Yu & Sun, Chunqian & Yang, Yan & Wen, Chuang, 2022. "Numerical simulation of supersonic condensation flows using Eulerian-Lagrangian and Eulerian wall film models," Energy, Elsevier, vol. 258(C).
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