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Challenges in top-down and bottom-up soft-linking: Lessons from linking a Swedish energy system model with a CGE model

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  • Krook-Riekkola, Anna
  • Berg, Charlotte
  • Ahlgren, Erik O.
  • Söderholm, Patrik

Abstract

This paper proposes and discusses a soft-linking procedure between a Computable General Equilibrium (CGE) model and an energy system model with the aim to improve national energy policy decision-making. Significant positive and negative experiences are communicated. Specifically, the process of soft-linking the EMEC and TIMES-Sweden models is presented, and unlike previous work we rely on the use of multiple direction-specific connection points. Moreover, the proposed soft-linking methodology is applied in the context of a climate policy scenario for Sweden. The results display a partly new description of the Swedish economy, which when soft-linking, generates lower CO2-emissions in the reference scenario due to a decline in industrial energy demand. These findings point at the importance of linking bottom-up and top-down models when assessing national energy and climate policies.

Suggested Citation

  • Krook-Riekkola, Anna & Berg, Charlotte & Ahlgren, Erik O. & Söderholm, Patrik, 2017. "Challenges in top-down and bottom-up soft-linking: Lessons from linking a Swedish energy system model with a CGE model," Energy, Elsevier, vol. 141(C), pages 803-817.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:803-817
    DOI: 10.1016/j.energy.2017.09.107
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    1. Wene, C.-O., 1996. "Energy-economy analysis: Linking the macroeconomic and systems engineering approaches," Energy, Elsevier, vol. 21(9), pages 809-824.
    2. van Vuuren, Detlef P. & Hoogwijk, Monique & Barker, Terry & Riahi, Keywan & Boeters, Stefan & Chateau, Jean & Scrieciu, Serban & van Vliet, Jasper & Masui, Toshihiko & Blok, Kornelis & Blomen, Eliane , 2009. "Comparison of top-down and bottom-up estimates of sectoral and regional greenhouse gas emission reduction potentials," Energy Policy, Elsevier, vol. 37(12), pages 5125-5139, December.
    3. Böhringer, Christoph & Rutherford, Thomos F., 2009. "Integrated assessment of energy policies: Decomposing top-down and bottom-up," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1648-1661, September.
    4. Andreas Schafer and Henry D. Jacoby, 2006. "Experiments with a Hybrid CGE-MARKAL Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 171-177.
    5. Klinge Jacobsen, Henrik, 1998. "Integrating the bottom-up and top-down approach to energy-economy modelling: the case of Denmark," Energy Economics, Elsevier, vol. 20(4), pages 443-461, September.
    6. Jean Charles Hourcade & Mark Jaccard & Chris Bataille & Frédéric Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges," Post-Print halshs-00471234, HAL.
    7. Martinsen, Thomas, 2011. "Introducing technology learning for energy technologies in a national CGE model through soft links to global and national energy models," Energy Policy, Elsevier, vol. 39(6), pages 3327-3336, June.
    8. Böhringer, Christoph & Rutherford, Thomas F., 2005. "Integrating Bottom-Up into Top-Down: A Mixed Complementarity Approach," ZEW Discussion Papers 05-28, ZEW - Leibniz Centre for European Economic Research.
    9. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    10. Gürkan Kumbaroğlu & Reinhard Madlener, 2003. "Energy and Climate Policy Analysis with the Hybrid Bottom-Up Computable General Equilibrium Model SCREEN: The Case of the Swiss CO 2 Act," Annals of Operations Research, Springer, vol. 121(1), pages 181-203, July.
    11. Patricia Fortes & Sofia Simões & Júlia Seixas & Denise Van Regemorter & Francisco Ferreira, 2013. "Top-down and bottom-up modelling to support low-carbon scenarios: climate policy implications," Climate Policy, Taylor & Francis Journals, vol. 13(3), pages 285-304, May.
    12. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
    13. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
    14. Krook Riekkola, Anna & Ahlgren, Erik O. & Söderholm, Patrik, 2011. "Ancillary benefits of climate policy in a small open economy: The case of Sweden," Energy Policy, Elsevier, vol. 39(9), pages 4985-4998, September.
    15. Wilson, Deborah & Swisher, Joel, 1993. "Exploring the gap : Top-down versus bottom-up analyses of the cost of mitigating global warming," Energy Policy, Elsevier, vol. 21(3), pages 249-263, March.
    16. Östblom, Göran & Berg, Charlotte, 2006. "The EMEC model: Version 2.0," Working Papers 96, National Institute of Economic Research.
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