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Impact of innovation programs on development of energy system: Case of Iranian electricity-supply system

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  • Shafiei, Ehsan
  • Saboohi, Yadollah
  • Ghofrani, Mohammad B.

Abstract

The paper presents further experiments with an extended version of a comprehensive model for assessment of energy technologies and research and development (R&D) planning to evaluate the impact of innovation programs on development of Iranian electricity-supply system. This analytical instrument is a model of energy R&D resource allocation with an explicit perspective of developing countries which has been linked to a bottom-up energy-systems model. Three emerging electricity generation technologies of solar PV, wind turbine and gas fuel cell are considered in the model and the impact of innovation programs on cost-reducing innovation for them is examined. The main results provided by the modeling approach include optimal allocation of R&D resources, induced capacity expansion policies to guarantee the effectiveness of R&D activities, competitive cost of emerging technologies, impact of innovation programs on optimal structure of electricity-supply system and benefits of innovation programs in the long-run.

Suggested Citation

  • Shafiei, Ehsan & Saboohi, Yadollah & Ghofrani, Mohammad B., 2009. "Impact of innovation programs on development of energy system: Case of Iranian electricity-supply system," Energy Policy, Elsevier, vol. 37(6), pages 2221-2230, June.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:6:p:2221-2230
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    1. Ad Seebregts & Tom Kram & Gerrit Jan Schaeffer & Alexandra Bos, 2000. "Endogenous learning and technology clustering: analysis with MARKAL model of the Western European energy system," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 289-319.
    2. Miketa, Asami & Schrattenholzer, Leo, 2004. "Experiments with a methodology to model the role of R&D expenditures in energy technology learning processes; first results," Energy Policy, Elsevier, vol. 32(15), pages 1679-1692, October.
    3. Sabine Messner, 1997. "Endogenized technological learning in an energy systems model," Journal of Evolutionary Economics, Springer, vol. 7(3), pages 291-313.
    4. Kypreos, Socrates, 2005. "Modeling experience curves in MERGE (model for evaluating regional and global effects)," Energy, Elsevier, vol. 30(14), pages 2721-2737.
    5. Shafiei, Ehsan & Saboohi, Yadollah & Ghofrani, Mohammad B., 2009. "Optimal policy of energy innovation in developing countries: Development of solar PV in Iran," Energy Policy, Elsevier, vol. 37(3), pages 1116-1127, March.
    6. Olivier Bahn, Socrates Kypreos, 2003. "Incorporating different endogenous learning formulations in MERGE," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 19(4), pages 333-358.
    7. Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
    8. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    9. Nguyen, Khanh Q., 2008. "Internalizing externalities into capacity expansion planning: The case of electricity in Vietnam," Energy, Elsevier, vol. 33(5), pages 740-746.
    10. Barreto, Leonardo & Kypreos, Socrates, 2004. "Emissions trading and technology deployment in an energy-systems "bottom-up" model with technology learning," European Journal of Operational Research, Elsevier, vol. 158(1), pages 243-261, October.
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    Cited by:

    1. Najafi, G. & Ghobadian, B. & Mamat, R. & Yusaf, T. & Azmi, W.H., 2015. "Solar energy in Iran: Current state and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 931-942.
    2. Manzoor, Davood & Aryanpur, Vahid, 2017. "Power sector development in Iran: A retrospective optimization approach," Energy, Elsevier, vol. 140(P1), pages 330-339.
    3. Zhang, Shuwei & Bauer, Nico & Yin, Guangzhi & Xie, Xi, 2020. "Technology learning and diffusion at the global and local scales: A modeling exercise in the REMIND model," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Alam Hossain Mondal, Md. & Mathur, Jyotirmay & Denich, Manfred, 2011. "Impacts of CO2 emission constraints on technology selection and energy resources for power generation in Bangladesh," Energy Policy, Elsevier, vol. 39(4), pages 2043-2050, April.
    5. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    6. 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.
    7. Seyed Reza Mirnezami & Amin Mohseni Cheraghlou, 2022. "Wind Power in Iran: Technical, Policy, and Financial Aspects for Better Energy Resource Management," Energies, MDPI, vol. 15(9), pages 1-18, April.
    8. Alexander T. Dale & André Frossard Pereira de Lucena & Joe Marriott & Bruno Soares Moreira Cesar Borba & Roberto Schaeffer & Melissa M. Bilec, 2013. "Modeling Future Life-Cycle Greenhouse Gas Emissions and Environmental Impacts of Electricity Supplies in Brazil," Energies, MDPI, vol. 6(7), pages 1-27, July.
    9. Atabaki, Mohammad Saeid & Aryanpur, Vahid, 2018. "Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran," Energy, Elsevier, vol. 161(C), pages 493-507.
    10. Aryanpur, Vahid & Fattahi, Mahshid & Mamipour, Siab & Ghahremani, Mahsa & Gallachóir, Brian Ó & Bazilian, Morgan D. & Glynn, James, 2022. "How energy subsidy reform can drive the Iranian power sector towards a low-carbon future," Energy Policy, Elsevier, vol. 169(C).
    11. Aryanpur, V. & Ghahremani, M. & Mamipour, S. & Fattahi, M. & Ó Gallachóir, B. & Bazilian, M.D. & Glynn, J., 2022. "Ex-post analysis of energy subsidy removal through integrated energy systems modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    12. Aryanpur, Vahid & Shafiei, Ehsan, 2015. "Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions," Energy, Elsevier, vol. 91(C), pages 882-893.

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