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The ACEGES laboratory for energy policy: Exploring the production of crude oil

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  • Voudouris, Vlasios
  • Stasinopoulos, Dimitrios
  • Rigby, Robert
  • Di Maio, Carlo

Abstract

An agent-based computational laboratory for exploratory energy policy by means of controlled computational experiments is proposed. It is termed the ACEGES (agent-based computational economics of the global energy system). In particular, it is shown how agent-based modelling and simulation can be applied to understand better the challenging outlook for oil production by accounting for uncertainties in resource estimates, demand growth, production growth and peak/decline point. The approach emphasises the idea that the oil system is better modelled not as black-box abode of 'the invisible hand' but as a complex system whose macroscopic explananda emerges from the interactions of its constituent components. Given the estimated volumes of oil originally present before any extraction, simulations show that on average the world peak of crude oil production may happen in the broad vicinity of the time region between 2008 and 2027. Using the proposed petroleum market diversity, the market diversity weakness rapidly towards the peak year.

Suggested Citation

  • Voudouris, Vlasios & Stasinopoulos, Dimitrios & Rigby, Robert & Di Maio, Carlo, 2011. "The ACEGES laboratory for energy policy: Exploring the production of crude oil," Energy Policy, Elsevier, vol. 39(9), pages 5480-5489, September.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:9:p:5480-5489
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    References listed on IDEAS

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    1. Vlasios Voudouris, 2011. "Towards a conceptual synthesis of dynamic and geospatial models: fusing the agent-based and Object – Field models," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 38(1), pages 95-114, January.
    2. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    3. Li, Hongyan & Tesfatsion, Leigh S., 2009. "Development of Open Source Software for Power Market Research: The AMES Test Bed," Staff General Research Papers Archive 13069, Iowa State University, Department of Economics.
    4. Fernholz, Robert, 1999. "On the diversity of equity markets," Journal of Mathematical Economics, Elsevier, vol. 31(3), pages 393-417, April.
    5. Kaufmann, Robert K., 1991. "Oil production in the lower 48 states : Reconciling curve fitting and econometric models," Resources and Energy, Elsevier, vol. 13(1), pages 111-127, April.
    6. Jakobsson, Kristofer & Söderbergh, Bengt & Höök, Mikael & Aleklett, Kjell, 2009. "How reasonable are oil production scenarios from public agencies?," Energy Policy, Elsevier, vol. 37(11), pages 4809-4818, November.
    7. Hallock, John L. & Tharakan, Pradeep J. & Hall, Charles A.S. & Jefferson, Michael & Wu, Wei, 2004. "Forecasting the limits to the availability and diversity of global conventional oil supply," Energy, Elsevier, vol. 29(11), pages 1673-1696.
    8. M. C. Jones & Arthur Pewsey, 2009. "Sinh-arcsinh distributions," Biometrika, Biometrika Trust, vol. 96(4), pages 761-780.
    9. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880 Elsevier.
    10. Lutz Kilian, 2008. "A Comparison of the Effects of Exogenous Oil Supply Shocks on Output and Inflation in the G7 Countries," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 78-121, March.
    11. Roger Bentley & Godfrey Boyle, 2008. "Global oil production: forecasts and methodologies," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(4), pages 609-626, July.
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    Citations

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    Cited by:

    1. Klabunde, Anna, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 471, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Bentley, Roger & Bentley, Yongmei, 2015. "Explaining the price of oil 1971–2014 : The need to use reliable data on oil discovery and to account for ‘mid-point’ peak," Energy Policy, Elsevier, vol. 86(C), pages 880-890.
    3. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    4. Hallock, John L. & Wu, Wei & Hall, Charles A.S. & Jefferson, Michael, 2014. "Forecasting the limits to the availability and diversity of global conventional oil supply: Validation," Energy, Elsevier, vol. 64(C), pages 130-153.
    5. Jakobsson, Kristofer & Söderbergh, Bengt & Snowden, Simon & Aleklett, Kjell, 2014. "Bottom-up modeling of oil production: A review of approaches," Energy Policy, Elsevier, vol. 64(C), pages 113-123.
    6. Matsumoto, Ken'ichi & Voudouris, Vlasios & Stasinopoulos, Dimitrios & Rigby, Robert & Di Maio, Carlo, 2012. "Exploring crude oil production and export capacity of the OPEC Middle East countries," Energy Policy, Elsevier, vol. 48(C), pages 820-828.
    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. repec:zbw:rwirep:0471 is not listed on IDEAS
    9. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Sandro Sapio, 2017. "Complexity and the economics of climate change : a survey and a look foreward," Sciences Po publications info:hdl:2441/1nlv566svi8, Sciences Po.
    10. repec:spr:testjl:v:27:y:2018:i:1:d:10.1007_s11749-017-0538-2 is not listed on IDEAS
    11. Anna Klabunde, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 0471, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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