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The effect of research and development incentive on wind power investment, a system dynamics approach

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  • Esmaieli, M.
  • Ahmadian, M.

Abstract

Due to high and unstable fossil fuel prices, air pollution arising from conventional power plants, and the need for higher levels of energy security, the necessity of using renewable energy, especially wind power have increased. But barriers such as high investment cost and uncertainty in generation, limit the participation of investors in this respect. Therefore, different incentives have been considered to speed up the development of renewable energy units. Most of these incentives focus on compensating the high investment cost and uncertainty in the future revenue of these units. On the other hand, this paper proposes a new approach based on supporting research and development activities to reduce the investment cost of wind units. Accordingly, a fixed amount is paid to the wind units proportional to their installed capacity but they should spend this fixed amount on research and development activities. These activities lead to lower construction costs due to technology maturity.

Suggested Citation

  • Esmaieli, M. & Ahmadian, M., 2018. "The effect of research and development incentive on wind power investment, a system dynamics approach," Renewable Energy, Elsevier, vol. 126(C), pages 765-773.
  • Handle: RePEc:eee:renene:v:126:y:2018:i:c:p:765-773
    DOI: 10.1016/j.renene.2018.04.009
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    as
    1. Ibenholt, Karin, 2002. "Explaining learning curves for wind power," Energy Policy, Elsevier, vol. 30(13), pages 1181-1189, October.
    2. Hasani, Masoud & Hosseini, Seyed Hamid, 2011. "Dynamic assessment of capacity investment in electricity market considering complementary capacity mechanisms," Energy, Elsevier, vol. 36(1), pages 277-293.
    3. Franco, Carlos J. & Castaneda, Monica & Dyner, Isaac, 2015. "Simulating the new British Electricity-Market Reform," European Journal of Operational Research, Elsevier, vol. 245(1), pages 273-285.
    4. Alishahi, E. & Moghaddam, M. Parsa & Sheikh-El-Eslami, M.K., 2012. "A system dynamics approach for investigating impacts of incentive mechanisms on wind power investment," Renewable Energy, Elsevier, vol. 37(1), pages 310-317.
    5. Philippe Menanteau & Dominique Finon & Marie-Laure Lamy, 2003. "Prices versus quantities :environmental policies for promoting the development of renewable energy," Post-Print halshs-00480457, HAL.
    6. Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 51-72.
    7. Wang, Tan & Gong, Yu & Jiang, Chuanwen, 2014. "A review on promoting share of renewable energy by green-trading mechanisms in power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 923-929.
    8. Hasani-Marzooni, Masoud & Hosseini, Seyed Hamid, 2011. "Dynamic model for market-based capacity investment decision considering stochastic characteristic of wind power," Renewable Energy, Elsevier, vol. 36(8), pages 2205-2219.
    9. Olsina, Fernando & Roscher, Mark & Larisson, Carlos & Garces, Francisco, 2007. "Short-term optimal wind power generation capacity in liberalized electricity markets," Energy Policy, Elsevier, vol. 35(2), pages 1257-1273, February.
    10. Liu, Ximei & Zeng, Ming, 2017. "Renewable energy investment risk evaluation model based on system dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 782-788.
    11. Georgilakis, Pavlos S. & Katsigiannis, Yiannis A., 2009. "Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources," Renewable Energy, Elsevier, vol. 34(1), pages 65-70.
    12. Kennedy, Scott, 2005. "Wind power planning: assessing long-term costs and benefits," Energy Policy, Elsevier, vol. 33(13), pages 1661-1675, September.
    13. He, Y.X. & Jiao, J. & Chen, R.J. & Shu, H., 2018. "The optimization of Chinese power grid investment based on transmission and distribution tariff policy: A system dynamics approach," Energy Policy, Elsevier, vol. 113(C), pages 112-122.
    14. Ouammi, Ahmed & Ghigliotti, Valeria & Robba, Michela & Mimet, Abdelaziz & Sacile, Roberto, 2012. "A decision support system for the optimal exploitation of wind energy on regional scale," Renewable Energy, Elsevier, vol. 37(1), pages 299-309.
    15. Menanteau, Philippe & Finon, Dominique & Lamy, Marie-Laure, 2003. "Prices versus quantities: choosing policies for promoting the development of renewable energy," Energy Policy, Elsevier, vol. 31(8), pages 799-812, June.
    16. Ahmad, Salman & Tahar, Razman Mat & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Rahim, Ruzairi Abdul, 2015. "Role of feed-in tariff policy in promoting solar photovoltaic investments in Malaysia: A system dynamics approach," Energy, Elsevier, vol. 84(C), pages 808-815.
    17. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    18. Mabel, M. Carolin & Raj, R. Edwin & Fernandez, E., 2010. "Adequacy evaluation of wind power generation systems," Energy, Elsevier, vol. 35(12), pages 5217-5222.
    19. Ahmad, Salman & Mat Tahar, Razman & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Abdul Rahim, Ruzairi, 2016. "Application of system dynamics approach in electricity sector modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 29-37.
    20. Aslani, Alireza & Helo, Petri & Naaranoja, Marja, 2014. "Role of renewable energy policies in energy dependency in Finland: System dynamics approach," Applied Energy, Elsevier, vol. 113(C), pages 758-765.
    21. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
    22. Guo, Xiaodan & Guo, Xiaopeng, 2015. "China's photovoltaic power development under policy incentives: A system dynamics analysis," Energy, Elsevier, vol. 93(P1), pages 589-598.
    23. Ibanez-Lopez, A.S. & Moratilla-Soria, B.Y., 2017. "An assessment of Spain's new alternative energy support framework and its long-term impact on wind power development and system costs through behavioral dynamic simulation," Energy, Elsevier, vol. 138(C), pages 629-646.
    24. Qudrat-Ullah, Hassan, 2013. "Understanding the dynamics of electricity generation capacity in Canada: A system dynamics approach," Energy, Elsevier, vol. 59(C), pages 285-294.
    25. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    26. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    27. Klaassen, Ger & Miketa, Asami & Larsen, Katarina & Sundqvist, Thomas, 2005. "The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom," Ecological Economics, Elsevier, vol. 54(2-3), pages 227-240, August.
    28. EL-Shimy, M., 2010. "Optimal site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt," Renewable Energy, Elsevier, vol. 35(8), pages 1870-1878.
    29. Arabian-Hoseynabadi, H. & Oraee, H. & Tavner, P.J., 2010. "Wind turbine productivity considering electrical subassembly reliability," Renewable Energy, Elsevier, vol. 35(1), pages 190-197.
    30. Dariush Khezrimotlagh & Yao Chen, 2018. "The Optimization Approach," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 107-134, Springer.
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