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A dynamic model of global natural gas supply

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  • Crow, Daniel J.G.
  • Giarola, Sara
  • Hawkes, Adam D.

Abstract

This paper presents the Dynamic Upstream Gas Model (DYNAAMO); a new, global, bottom-up model of natural gas supply. In contrast to most “static” supply-side models, which bracket resources by average cost, DYNAAMO creates a range of dynamic outputs by simulating investment and operating decisions in the upstream gas industry triggered in response to investors’ expectations of future gas prices. Industrial data from thousands of gas fields is analysed and used to build production and expenditure profiles which drive the economics of supply at field level. Using these profiles, a novel methodology for estimating supply curves is developed which incorporates the size, age and operating environment of gas fields, and treats explicitly the fiscal, abandonment, exploration and emissions costs of production. The model is validated using the US shale gas boom in the 2000s as a historic case study. It is found that the modelled market share of supply by field environment replicates the observed trend during the period 2000–2010, and that the model price response during the same period – due to lower capacity margins and the financing of new projects – is consistent with market behaviour.

Suggested Citation

  • Crow, Daniel J.G. & Giarola, Sara & Hawkes, Adam D., 2018. "A dynamic model of global natural gas supply," Applied Energy, Elsevier, vol. 218(C), pages 452-469.
    • Handle: RePEc:eee:appene:v:218:y:2018:i:c:p:452-469
    DOI: 10.1016/j.apenergy.2018.02.182
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    as
    1. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    2. Zhang, Qi & Li, Zhan & Wang, Ge & Li, Hailong, 2016. "Study on the impacts of natural gas supply cost on gas flow and infrastructure deployment in China," Applied Energy, Elsevier, vol. 162(C), pages 1385-1398.
    3. Lochner, Stefan & Bothe, David, 2009. "The development of natural gas supply costs to Europe, the United States and Japan in a globalizing gas market--Model-based analysis until 2030," Energy Policy, Elsevier, vol. 37(4), pages 1518-1528, April.
    4. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    5. Söderbergh, Bengt & Jakobsson, Kristofer & Aleklett, Kjell, 2010. "European energy security: An analysis of future Russian natural gas production and exports," Energy Policy, Elsevier, vol. 38(12), pages 7827-7843, December.
    6. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    7. McGlade, Christophe & Ekins, Paul, 2014. "Un-burnable oil: An examination of oil resource utilisation in a decarbonised energy system," Energy Policy, Elsevier, vol. 64(C), pages 102-112.
    8. Perner, J. & Seeliger, A., 2004. "Prospects of gas supplies to the European market until 2030--results from the simulation model EUGAS," Utilities Policy, Elsevier, vol. 12(4), pages 291-302, December.
    9. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
    10. Chávez-Rodríguez, Mauro F. & Dias, Luís & Simoes, Sofia & Seixas, Júlia & Hawkes, Adam & Szklo, Alexandre & Lucena, Andre F.P., 2017. "Modelling the natural gas dynamics in the Southern Cone of Latin America," Applied Energy, Elsevier, vol. 201(C), pages 219-239.
    11. Tan, Siah Hong & Barton, Paul I., 2015. "Optimal dynamic allocation of mobile plants to monetize associated or stranded natural gas, part I: Bakken shale play case study," Energy, Elsevier, vol. 93(P2), pages 1581-1594.
    12. Richard Loulou, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    13. Middleton, Richard S. & Gupta, Rajan & Hyman, Jeffrey D. & Viswanathan, Hari S., 2017. "The shale gas revolution: Barriers, sustainability, and emerging opportunities," Applied Energy, Elsevier, vol. 199(C), pages 88-95.
    14. Aguilera, Roberto F., 2010. "The future of the European natural gas market: A quantitative assessment," Energy, Elsevier, vol. 35(8), pages 3332-3339.
    15. Egging, Ruud & Holz, Franziska & Gabriel, Steven A., 2010. "The World Gas Model," Energy, Elsevier, vol. 35(10), pages 4016-4029.
    16. Aguilera, Roberto F. & Ripple, Ronald D., 2012. "Technological progress and the availability of European oil and gas resources," Applied Energy, Elsevier, vol. 96(C), pages 387-392.
    17. Marks, Robert, 2006. "Market Design Using Agent-Based Models," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 27, pages 1339-1380, Elsevier.
    18. Hulshof, Daan & van der Maat, Jan-Pieter & Mulder, Machiel, 2016. "Market fundamentals, competition and natural-gas prices," Energy Policy, Elsevier, vol. 94(C), pages 480-491.
    19. Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
    20. Kaiser, Mark J., 2011. "Economic limit of Outer Continental Shelf Gulf of Mexico structure production," Applied Energy, Elsevier, vol. 88(7), pages 2490-2508, July.
    21. Trutnevyte, Evelina, 2016. "Does cost optimization approximate the real-world energy transition?," Energy, Elsevier, vol. 106(C), pages 182-193.
    22. Weijermars, Ruud, 2014. "US shale gas production outlook based on well roll-out rate scenarios," Applied Energy, Elsevier, vol. 124(C), pages 283-297.
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