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A global model for residential energy use: Uncertainty in calibration to regional data

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  • van Ruijven, Bas
  • de Vries, Bert
  • van Vuuren, Detlef P.
  • van der Sluijs, Jeroen P.

Abstract

Uncertainties in energy demand modelling allow for the development of different models, but also leave room for different calibrations of a single model. We apply an automated model calibration procedure to analyse calibration uncertainty of residential sector energy use modelling in the TIMER 2.0 global energy model. This model simulates energy use on the basis of changes in useful energy intensity, technology development (AEEI) and price responses (PIEEI). We find that different implementations of these factors yield behavioural model results. Model calibration uncertainty is identified as influential source for variation in future projections: amounting 30% to 100% around the best estimate. Energy modellers should systematically account for this and communicate calibration uncertainty ranges.

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  • van Ruijven, Bas & de Vries, Bert & van Vuuren, Detlef P. & van der Sluijs, Jeroen P., 2010. "A global model for residential energy use: Uncertainty in calibration to regional data," Energy, Elsevier, vol. 35(1), pages 269-282.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:1:p:269-282
    DOI: 10.1016/j.energy.2009.09.019
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    as
    1. van Vuuren, D. P. & Strengers, B. J. & De Vries, H. J. M., 1999. "Long-term perspectives on world metal use--a system-dynamics model," Resources Policy, Elsevier, vol. 25(4), pages 239-255, December.
    2. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    3. Barlas, Yaman, 1989. "Multiple tests for validation of system dynamics type of simulation models," European Journal of Operational Research, Elsevier, vol. 42(1), pages 59-87, September.
    4. Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
    5. Richard B. Olsen & Ulrich A. Müller & Michel M. Dacorogna & Olivier V. Pictet & Rakhal R. Davé & Dominique M. Guillaume, 1997. "From the bird's eye to the microscope: A survey of new stylized facts of the intra-daily foreign exchange markets (*)," Finance and Stochastics, Springer, vol. 1(2), pages 95-129.
    6. Azar, Christian & Lindgren, Kristian & Andersson, Bjorn A., 2003. "Global energy scenarios meeting stringent CO2 constraints--cost-effective fuel choices in the transportation sector," Energy Policy, Elsevier, vol. 31(10), pages 961-976, August.
    7. Gales, Ben & Kander, Astrid & Malanima, Paolo & Rubio, Mar, 2007. "North versus South: Energy transition and energy intensity in Europe over 200 years," European Review of Economic History, Cambridge University Press, vol. 11(2), pages 219-253, August.
    8. Focacci, Antonio, 2005. "Empirical analysis of the environmental and energy policies in some developing countries using widely employed macroeconomic indicators: the cases of Brazil, China and India," Energy Policy, Elsevier, vol. 33(4), pages 543-554, March.
    9. Parikh, Kirit S. & Karandikar, Vivek & Rana, Ashish & Dani, Prasanna, 2009. "Projecting India's energy requirements for policy formulation," Energy, Elsevier, vol. 34(8), pages 928-941.
    10. Tschang, F. Ted & Dowlatabadi, Hadi, 1995. "A Bayesian technique for refining the uncertainty in global energy model forecasts," International Journal of Forecasting, Elsevier, vol. 11(1), pages 43-61, March.
    11. World Bank, 2007. "World Development Indicators 2007," World Bank Publications - Books, The World Bank Group, number 8150.
    12. AkIn, Cigdem & Kose, M. Ayhan, 2008. "Changing nature of North-South linkages: Stylized facts and explanations," Journal of Asian Economics, Elsevier, vol. 19(1), pages 1-28, February.
    13. Shukla, P. R., 1995. "Greenhouse gas models and abatement costs for developing nations : A critical assessment," Energy Policy, Elsevier, vol. 23(8), pages 677-687, August.
    14. Oliva, Rogelio, 2003. "Model calibration as a testing strategy for system dynamics models," European Journal of Operational Research, Elsevier, vol. 151(3), pages 552-568, December.
    15. Patrick Criqui & Nikolaos Kouvaritakis, 2000. "World energy projections to 2030," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 116-136.
    16. van Ruijven, Bas & Urban, Frauke & Benders, René M.J. & Moll, Henri C. & van der Sluijs, Jeroen P. & de Vries, Bert & van Vuuren, Detlef P., 2008. "Modeling Energy and Development: An Evaluation of Models and Concepts," World Development, Elsevier, vol. 36(12), pages 2801-2821, December.
    17. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    18. Syri, Sanna & Amann, Markus & Capros, Pantelis & Mantzos, Leonidas & Cofala, Janusz & Klimont, Zbigniew, 2001. "Low-CO2 energy pathways and regional air pollution in Europe," Energy Policy, Elsevier, vol. 29(11), pages 871-884, September.
    19. Kander, Astrid & Schon, Lennart, 2007. "The energy-capital relation--Sweden 1870-2000," Structural Change and Economic Dynamics, Elsevier, vol. 18(3), pages 291-305, September.
    20. Kenneth B. Medlock III & Ronald Soligo, 2001. "Economic Development and End-Use Energy Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-105.
    21. L. Schipper & R. Haas & C. Sheinbaum, 1996. "Recent Trends in Residential Energy Use in OECD Countries and their Impact on Carbon Dioxide Emissions: A Comparative Analysis of the Period 1973–1992," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 1(2), pages 167-196, December.
    22. van Vuuren, Detlef & Fengqi, Zhou & Vries, Bert de & Kejun, Jiang & Graveland, Cor & Yun, Li, 2003. "Energy and emission scenarios for China in the 21st century--exploration of baseline development and mitigation options," Energy Policy, Elsevier, vol. 31(4), pages 369-387, March.
    23. Turton, Hal, 2008. "ECLIPSE: An integrated energy-economy model for climate policy and scenario analysis," Energy, Elsevier, vol. 33(12), pages 1754-1769.
    24. George B. Kleindorfer & Liam O'Neill & Ram Ganeshan, 1998. "Validation in Simulation: Various Positions in the Philosophy of Science," Management Science, INFORMS, vol. 44(8), pages 1087-1099, August.
    25. Agenor, Pierre-Richard & McDermott, C John & Prasad, Eswar S, 2000. "Macroeconomic Fluctuations in Developing Countries: Some Stylized Facts," The World Bank Economic Review, World Bank, vol. 14(2), pages 251-285, May.
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