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Abstract

In this paper we give an introduction to modelling the natural gas value chain including production, transportation, processing, contracts, and markets. The presentation gives insight in the complexity of planning in the natural gas supply chain and how optimization can help decision makers in a natural gas company coordinate the different activities. We present an integrated view from the perspective of an upstream company. The paper starts with decribing how to model natural gas transportation and storage, and at the end we present a stochastic portfolio optimization model for the natural gas value chain in a liberalized market.

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References

  1. Energy Information Administration. The basics of underground natural gas storage, 2002. http://www.eia.doe.gov/pub/oil_gas/natural gas/analysis_publications/storagebasics/storagebasics.pdf.

    Google Scholar 

  2. J.M. Campbell. The Equipment Modules. Gas Conditioning and Processing. Norman, Okla., 7 edition, 1992.

    Google Scholar 

  3. H.J. Dahl, F. Rømo, and A. Tomasgard. An optimisation model for rationing-efficient allocation of capacity in a natural gas transportation network. In Conference Proceedings: IAEE Praha, 2003.

    Google Scholar 

  4. D. De Wolf and Y. Smeers. The gas transmission problem solved by an extension of the simplex algorithm. Manag. Sci., 46(11):1454–1465, 2000.

    Article  Google Scholar 

  5. Directorate-General for Energy European Commission and Transport. Opening up to choice: Launching the single european gas market. Office for Official Publications of the European Communities, July 2002.

    Google Scholar 

  6. Directive 98/30/EC of the european parliament and of the council, 22 June 1998.

    Google Scholar 

  7. Directive 2003/55/EC of the european parliament and of the council, 26 June 2003.

    Google Scholar 

  8. K. Hofsten. Model-Based Dynamic Control and Optimization of Gas Networks. PhD thesis, NTNU, Trondheim, 2000.

    Google Scholar 

  9. J. Hull. Options, Futures and Other Derivatives. Prentice Hall International, Upper Saddle River, N.J, fifth edition, 2003.

    MATH  Google Scholar 

  10. P. Kall and S. W. Wallace. Stochastic Programming. John Wiley & Sons, Chichester, 1994.

    MATH  Google Scholar 

  11. M. Manoliu. Storage options valuation using multilevel trees and calendar spreads. Int. J. Theor. Appl. Finance, 7(4):425–464, 2004.

    Article  MATH  MathSciNet  Google Scholar 

  12. B. Nygreen, M. Christiansen, T. Bjørkvoll, K. Haugen, and Ă˜ Kristiansen Modelling Norwegian petroleum production and transportation. Ann. Oper. Res., 82:251–267, 1998.

    Article  MATH  Google Scholar 

  13. M. Nowak and M. Westphalen. A linear model for transient gas flow. In Proceedings of ECOS, pages 1751–1758, 2003. available as SINTEF-report STF 38S03601.

    Google Scholar 

  14. M. Pereira, N. CampodĂ³nico, and R. Kelman. Application of stochastic dual DP and extensions to hydrothermal scheduling. Technical report, PSRI, 012/99.

    Google Scholar 

  15. M.V.F Pereira and L.M.V.G. Pinto. Multi-stage stochastic optimization applied to energy planning. Math. Program., 52:359–375, 1991.

    Article  MATH  MathSciNet  Google Scholar 

  16. R. L. Rardin. Optimization in Operations Research. Prentice Hall, Upper Saddle River, New Jersey, 1998.

    Google Scholar 

  17. F. Rømo, A. Tomasgard, M. Fodstad, and K. Midthun. Stochastic optimization of the natural gas value chain in a liberalized market. Technical report, SINTEF, Trondheim, Norway, 2004.

    Google Scholar 

  18. F. Rømo, A. Tomasgard, M.P. Nowak, M. Fodstad and L. Hellemo. An optimization system for gas transportation on the Norwegian continental shelf. Technical report, SINTEF, Trondheim, Norway, 2006.

    Google Scholar 

  19. T. Scott, H. Brown, and N. Perry. Storing true value? Energy and Power Risk Management, March 2000.

    Google Scholar 

  20. E.S. Schwarz. The stochastic behavior of commodity prices: Implications for valuation and hedging. J. Finance, 52(3):923–973, 1997.

    Article  Google Scholar 

  21. N.L. Ulstein, B. Nygreen, and J.R. Sagli. Tactical planning of offshore petroleum production. Working paper, NTNU, Trondheim, 2004.

    Google Scholar 

  22. T. Van der Hoeven. Math in Gas and the Art of Linearization. PhD thesis, International business school and research center for natural gas, Groningen, The Netherlands, 2004.

    Google Scholar 

  23. M. Westphalen. Anwendungen der Stochastischen Optimierung im Stromhandel und Gastransport. PhD thesis, University Duisburg-Essen (Germany), 2004.

    Google Scholar 

  24. H. P. Williams. Model Building in Mathematical Programming. John Wiley & Sons, Chichester, 4th edition, 1999.

    Google Scholar 

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Tomasgard, A., Rømo, F., Fodstad, M., Midthun, K. (2007). Optimization Models for the Natural Gas Value Chain. In: Hasle, G., Lie, KA., Quak, E. (eds) Geometric Modelling, Numerical Simulation, and Optimization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68783-2_16

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