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Assessing effects of exogenous assumptions in GHG emissions forecasts – a 2020 scenario study for Portugal using the Times energy technology model

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  • Simoes, Sofia
  • Fortes, Patrícia
  • Seixas, Júlia
  • Huppes, Gjalt

Abstract

Energy-economy-environment models are fundamental in developing realistic cost-effective climate policy. However, such models by necessity are simplified based on assumptions which co-determine the outcomes of scenario modelling. Major assumptions relate to demographic and economic development, technology evolution and deployment and policy decisions. The core of this analysis is to quantify how specific assumptions influence the outcomes of scenarios; not taking them together as usually in the literature but instead looking into them apiece. The TIMES modelling framework is broadly used for climate policy support and here we used the Portuguese version as an example. As the structure of TIMES modelling is similar in other countries and also for larger aggregates as the EU and the World, the method can be applied there quite directly, although outcomes will differ between countries due to differences in energy technologies and energy markets. The outcomes for the Portugal Baseline scenario using TIMES_PT show the relevance of this exercise in this sensitivity analysis on assumptions. Contrary to what might be expected, varying assumptions on the availability and price of energy resources lead to minor variations on GHG emissions in the modelling outcomes, less than 2% of the Baseline scenario emissions in 2020. The more relevant assumptions to overall uncertainty are related to socio-economic development, followed by assumptions on technology deployment. This detailed uncertainty analysis on assumptions helps to assess the robustness of modelling outcomes in the TIMES model framework, next to other aspects like model structure and validity.

Suggested Citation

  • Simoes, Sofia & Fortes, Patrícia & Seixas, Júlia & Huppes, Gjalt, 2015. "Assessing effects of exogenous assumptions in GHG emissions forecasts – a 2020 scenario study for Portugal using the Times energy technology model," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 221-235.
    • Handle: RePEc:eee:tefoso:v:94:y:2015:i:c:p:221-235
    DOI: 10.1016/j.techfore.2014.09.016
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    1. Treffers, D. J. & Faaij, A. P. C. & Spakman, J. & Seebregts, A., 2005. "Exploring the possibilities for setting up sustainable energy systems for the long term: two visions for the Dutch energy system in 2050," Energy Policy, Elsevier, vol. 33(13), pages 1723-1743, September.
    2. Anandarajah, Gabrial & Strachan, Neil, 2010. "Interactions and implications of renewable and climate change policy on UK energy scenarios," Energy Policy, Elsevier, vol. 38(11), pages 6724-6735, November.
    3. Strachan, Neil & Pye, Steve & Kannan, Ramachandran, 2009. "The iterative contribution and relevance of modelling to UK energy policy," Energy Policy, Elsevier, vol. 37(3), pages 850-860, March.
    4. 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.
    5. Michel, David, 2009. "Foxes, hedgehogs, and greenhouse governance: Knowledge, uncertainty, and international policy-making in a warming World," Applied Energy, Elsevier, vol. 86(2), pages 258-264, February.
    6. Simões, Sofia & Cleto, João & Fortes, Patri­cia & Seixas, Júlia & Huppes, Gjalt, 2008. "Cost of energy and environmental policy in Portuguese CO2 abatement--scenario analysis to 2020," Energy Policy, Elsevier, vol. 36(9), pages 3598-3611, September.
    7. Strachan, Neil, 2011. "Business-as-Unusual: Existing policies in energy model baselines," Energy Economics, Elsevier, vol. 33(2), pages 153-160, March.
    8. van Ruijven, Bas & van Vuuren, Detlef P., 2009. "Oil and natural gas prices and greenhouse gas emission mitigation," Energy Policy, Elsevier, vol. 37(11), pages 4797-4808, November.
    9. Labriet, Maryse & Kanudia, Amit & Loulou, Richard, 2012. "Climate mitigation under an uncertain technology future: A TIAM-World analysis," Energy Economics, Elsevier, vol. 34(S3), pages 366-377.
    10. Chiodi, Alessandro & Gargiulo, Maurizio & Deane, J.P. & Lavigne, Denis & Rout, Ullash K. & Ó Gallachóir, Brian P., 2013. "Modelling the impacts of challenging 2020 non-ETS GHG emissions reduction targets on Ireland′s energy system," Energy Policy, Elsevier, vol. 62(C), pages 1438-1452.
    11. Li, Y.P. & Huang, G.H. & Li, M.W., 2014. "An integrated optimization modeling approach for planning emission trading and clean-energy development under uncertainty," Renewable Energy, Elsevier, vol. 62(C), pages 31-46.
    12. Pilavachi, P.A. & Dalamaga, Th. & Rossetti di Valdalbero, D. & Guilmot, J.-F., 2008. "Ex-post evaluation of European energy models," Energy Policy, Elsevier, vol. 36(5), pages 1726-1735, May.
    13. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    14. Peter Russ & Juan Carlos Ciscar & Bert Saveyn & Antonio Soria & Laszlo Szabo & Tom Van Ierland & Denise Van Regemorter & Rosella Virdis, 2009. "Economic Assessment of Post-2012 Global Climate Policies - Analysis of Gas Greenhouse Gas Emission Reduction Scenarios with the POLES and GEM-E3 models," JRC Research Reports JRC50307, Joint Research Centre.
    15. Usher, Will & Strachan, Neil, 2013. "An expert elicitation of climate, energy and economic uncertainties," Energy Policy, Elsevier, vol. 61(C), pages 811-821.
    Full references (including those not matched with items on IDEAS)

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    2. Liu, Xi & Du, Huibin & Brown, Marilyn A. & Zuo, Jian & Zhang, Ning & Rong, Qian & Mao, Guozhu, 2018. "Low-carbon technology diffusion in the decarbonization of the power sector: Policy implications," Energy Policy, Elsevier, vol. 116(C), pages 344-356.
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