The ACEGES laboratory for energy policy: Exploring the production of crude oil
AbstractAn 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.
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Bibliographic InfoArticle provided by Elsevier in its journal Energy Policy.
Volume (Year): 39 (2011)
Issue (Month): 9 (September)
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Web page: http://www.elsevier.com/locate/enpol
Oil depletion Oil scenario generation ACEGES;
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- Li, Hongyan & Tesfatsion, Leigh S., 2009. "Development of Open Source Software for Power Market Research: The AMES Test Bed," Staff General Research Papers 13069, Iowa State University, Department of Economics.
- 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.
- Tesfatsion, Leigh, 2006.
"Agent-Based Computational Economics: A Constructive Approach to Economic Theory,"
Staff General Research Papers
12514, Iowa State University, Department of Economics.
- 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.
- Leigh Tesfatsion, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Computing in Economics and Finance 2006 527, Society for Computational Economics.
- 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.
- Fernholz, Robert, 1999. "On the diversity of equity markets," Journal of Mathematical Economics, Elsevier, vol. 31(3), pages 393-417, April.
- 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.
- James D. Hamilton, 2000.
"What is an Oil Shock?,"
NBER Working Papers
7755, National Bureau of Economic Research, Inc.
- M. C. Jones & Arthur Pewsey, 2009. "Sinh-arcsinh distributions," Biometrika, Biometrika Trust, vol. 96(4), pages 761-780.
- 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, 03.
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