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Electricity portfolio planning model incorporating renewable energy characteristics

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  • Wu, Jung-Hua
  • Huang, Yun-Hsun

Abstract

Traditional electricity planning models pursue minimal costs, yet their design often results in an underestimation of the true benefits of renewable energy. This paper attempts to introduce different complementary approaches to traditional electricity planning model to incorporate various renewable energy characteristics and uses Taiwan’s electricity sector as a case study. The portfolio theory, learning curve theory and the capacity credit are applied in the proposed model to reflect characteristics of renewable energy, such as a hedge against fossil fuel price volatility, significant technological progress, and intermittent generation. Simulation results demonstrate that using renewable energies has the advantage of hedging against the volatile fossil fuel price risk as well as reducing carbon dioxide emissions. Considering the intermittency of renewable energies requires LNG-fired plants to serve as the backup generators. However, wind power can only account for limited share of total installed capacity due to the limited land resources in Taiwan. Therefore, taking intermittency into account only demonstrates a small influence of the reserve margins of the entire power system and the total generation costs.

Suggested Citation

  • Wu, Jung-Hua & Huang, Yun-Hsun, 2014. "Electricity portfolio planning model incorporating renewable energy characteristics," Applied Energy, Elsevier, vol. 119(C), pages 278-287.
    • Handle: RePEc:eee:appene:v:119:y:2014:i:c:p:278-287
    DOI: 10.1016/j.apenergy.2014.01.001
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    as
    1. Huang, Yun-Hsun & Wu, Jung-Hua, 2008. "A portfolio risk analysis on electricity supply planning," Energy Policy, Elsevier, vol. 36(2), pages 627-641, February.
    2. Ghadikolaei, Hadi Moghimi & Tajik, Elham & Aghaei, Jamshid & Charwand, Mansour, 2012. "Integrated day-ahead and hour-ahead operation model of discos in retail electricity markets considering DGs and CO2 emission penalty cost," Applied Energy, Elsevier, vol. 95(C), pages 174-185.
    3. Tolis, Athanasios I. & Rentizelas, Athanasios A., 2011. "An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios," Applied Energy, Elsevier, vol. 88(11), pages 3791-3806.
    4. Foley, Aoife & Tyther, Barry & Calnan, Patrick & Ó Gallachóir, Brian, 2013. "Impacts of Electric Vehicle charging under electricity market operations," Applied Energy, Elsevier, vol. 101(C), pages 93-102.
    5. Pode, Ramchandra, 2010. "Addressing India's energy security and options for decreasing energy dependency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3014-3022, December.
    6. Lam, J.C.K. & Woo, C.K. & Kahrl, F. & Yu, W.K., 2013. "What moves wind energy development in China? Show me the money!," Applied Energy, Elsevier, vol. 105(C), pages 423-429.
    7. Pettersson, Fredrik & Söderholm, Patrik, 2009. "The diffusion of renewable electricity in the presence of climate policy and technology learning: The case of Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2031-2040, October.
    8. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    9. Awerbuch, Shimon & Yang, Spencer, 2007. "Efficient electricity generating portfolios for Europe: maximising energy security and climate change mitigation," EIB Papers 7/2007, European Investment Bank, Economics Department.
    10. Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
    11. Reuter, Wolf Heinrich & Szolgayová, Jana & Fuss, Sabine & Obersteiner, Michael, 2012. "Renewable energy investment: Policy and market impacts," Applied Energy, Elsevier, vol. 97(C), pages 249-254.
    12. Jirutitijaroen, Panida & Kim, Sujin & Kittithreerapronchai, Oran & Prina, José, 2013. "An optimization model for natural gas supply portfolios of a power generation company," Applied Energy, Elsevier, vol. 107(C), pages 1-9.
    13. Zon, Adriaan van & Fuss, Sabine, 2005. "Investing in Energy Conversion Technologies - An Optimum Vintage Portfolio Selection Approach," Research Memorandum 023, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    14. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
    15. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    16. Allan, Grant & Eromenko, Igor & McGregor, Peter & Swales, Kim, 2011. "The regional electricity generation mix in Scotland: A portfolio selection approach incorporating marine technologies," Energy Policy, Elsevier, vol. 39(1), pages 6-22, January.
    17. Mari, Carlo, 2014. "Hedging electricity price volatility using nuclear power," Applied Energy, Elsevier, vol. 113(C), pages 615-621.
    18. Arnesano, M. & Carlucci, A.P. & Laforgia, D., 2012. "Extension of portfolio theory application to energy planning problem – The Italian case," Energy, Elsevier, vol. 39(1), pages 112-124.
    19. Ko, Li & Chen, Chia-Yon & Lai, Jeng-Wen & Wang, Yu-Hui, 2013. "Abatement cost analysis in CO2 emission reduction costs regarding the supply-side policies for the Taiwan power sector," Energy Policy, Elsevier, vol. 61(C), pages 551-561.
    20. Li, Sheng & Zhang, Xiaosong & Gao, Lin & Jin, Hongguang, 2012. "Learning rates and future cost curves for fossil fuel energy systems with CO2 capture: Methodology and case studies," Applied Energy, Elsevier, vol. 93(C), pages 348-356.
    21. Zhou, Ying & Wang, Lizhi & McCalley, James D., 2011. "Designing effective and efficient incentive policies for renewable energy in generation expansion planning," Applied Energy, Elsevier, vol. 88(6), pages 2201-2209, June.
    22. 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.
    23. Bhattacharya, Anindya & Kojima, Satoshi, 2012. "Power sector investment risk and renewable energy: A Japanese case study using portfolio risk optimization method," Energy Policy, Elsevier, vol. 40(C), pages 69-80.
    24. Muñoz, José Ignacio & Sánchez de la Nieta, Agustín A. & Contreras, Javier & Bernal-Agustín, José L., 2009. "Optimal investment portfolio in renewable energy: The Spanish case," Energy Policy, Elsevier, vol. 37(12), pages 5273-5284, December.
    25. Plaza, Malgorzata & Ngwenyama, Ojelanki K. & Rohlf, Katrin, 2010. "A comparative analysis of learning curves: Implications for new technology implementation management," European Journal of Operational Research, Elsevier, vol. 200(2), pages 518-528, January.
    26. Zhu, Lei & Fan, Ying, 2010. "Optimization of China's generating portfolio and policy implications based on portfolio theory," Energy, Elsevier, vol. 35(3), pages 1391-1402.
    27. Ko, Fu-Kuang & Huang, Chang-Bin & Tseng, Pei-Ying & Lin, Chung-Han & Zheng, Bo-Yan & Chiu, Hsiu-Mei, 2010. "Long-term CO2 emissions reduction target and scenarios of power sector in Taiwan," Energy Policy, Elsevier, vol. 38(1), pages 288-300, January.
    28. Yun-Hsun Huang & Jung-Hua Wu, 2009. "Energy Policy in Taiwan: Historical Developments, Current Status and Potential Improvements," Energies, MDPI, vol. 2(3), pages 1-23, August.
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