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ERIS: A model prototype with endogenous technological change

Author

Listed:
  • Socrates Kypreos
  • Leonardo Barreto
  • Pantelis Capros
  • Sabine Messner

Abstract

This paper describes the ERIS Model Prototype, developed within the EU-TEEM project as a flexible tool to study different modelling approaches on the endogenisation of technological change in energy optimisation models. The basic formulation and several variants are presented. Some illustrative results and insights obtained with the prototype are discussed and some perspectives for its future development outlined.

Suggested Citation

  • Socrates Kypreos & Leonardo Barreto & Pantelis Capros & Sabine Messner, 2000. "ERIS: A model prototype with endogenous technological change," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 347-397.
    • Handle: RePEc:ids:ijgeni:v:14:y:2000:i:1/2/3/4:p:347-397
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    Citations

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    Cited by:

    1. Hayward, Jennifer A. & Graham, Paul W., 2013. "A global and local endogenous experience curve model for projecting future uptake and cost of electricity generation technologies," Energy Economics, Elsevier, vol. 40(C), pages 537-548.
    2. Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2017. "Inter-temporal R&D and capital investment portfolios for the electricity industrys low carbon future," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    3. Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki & Inagaki, Yugo, 2018. "Empirical Analysis of Factors Influencing Price of Solar Modules," ADBI Working Papers 836, Asian Development Bank Institute.
    4. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
    5. Turton, Hal & Barreto, Leonardo, 2006. "Long-term security of energy supply and climate change," Energy Policy, Elsevier, vol. 34(15), pages 2232-2250, October.
    6. DeCarolis, Joseph F. & Hunter, Kevin & Sreepathi, Sarat, 2012. "The case for repeatable analysis with energy economy optimization models," Energy Economics, Elsevier, vol. 34(6), pages 1845-1853.
    7. Tieju Ma, 2010. "Coping with Uncertainties in Technological Learning," Management Science, INFORMS, vol. 56(1), pages 192-201, January.
    8. Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2014. "Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry's Low Carbon Future," CESifo Working Paper Series 5139, CESifo.
    9. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
    10. Santen, Nidhi R. & Anadon, Laura Diaz, 2016. "Balancing solar PV deployment and RD&D: A comprehensive framework for managing innovation uncertainty in electricity technology investment planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 560-569.
    11. Ma, Tieju & Nakamori, Yoshiteru, 2009. "Modeling technological change in energy systems – From optimization to agent-based modeling," Energy, Elsevier, vol. 34(7), pages 873-879.
    12. Manne, Alan S. & Barreto, Leonardo, 2004. "Learn-by-doing and carbon dioxide abatement," Energy Economics, Elsevier, vol. 26(4), pages 621-633, July.
    13. Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2014. "Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry’s Low Carbon Future," NBER Working Papers 20783, National Bureau of Economic Research, Inc.
    14. Gerboni, Raffaella & Grosso, Daniele & Carpignano, Andrea & Dalla Chiara, Bruno, 2017. "Linking energy and transport models to support policy making," Energy Policy, Elsevier, vol. 111(C), pages 336-345.
    15. Mathias Mier & Jacqueline Adelowo & Valeriya Azarova, 2022. "Endogenous Technological Change in Power Markets," ifo Working Paper Series 373, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki & Inagaki, Yugo & Morgan, Peter J., 2021. "Analyzing the factors influencing the demand and supply of solar modules in Japan – Does financing matter," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 1-12.
    17. Turton, Hal, 2008. "ECLIPSE: An integrated energy-economy model for climate policy and scenario analysis," Energy, Elsevier, vol. 33(12), pages 1754-1769.

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