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Dynamic modeling of the policy effect and development of electric power systems: A case in Taiwan

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  • Hsiao, Chih-Tung
  • Liu, Chung-Shu
  • Chang, Dong-Shang
  • Chen, Chun-Cheng

Abstract

Electric power is the cornerstone of economic growth, as well as one of the major energy sources for modern society. Economic growth, the demand for electricity, the security of fuel supplies, power-generating technologies, and the impact on the environment must be considered in the development planning and policy making of electric power. In fact, the planning of electric power development and the establishment of power generation capacity are complex and dynamic processes, which are influenced by national policies, citizens’ acceptance, and domestic and international energy sources. Hence, this study adopted system dynamics methodology to explore the development of policy-based electric power planning in Taiwan, analyzed its system structure, and simulated the impact of energy source policies on Taiwan's power supply according to different scenarios of economic growth. The findings of this study showed that the power supply in Taiwan is mainly influenced by four sub-systems with three important level variables, including the installed capacity of thermal power, installed capacity of nuclear power, and installed capacity of renewable energy. Currently, Taiwan plans to eradicate nuclear power by 2025 and replace it with renewable energies, which could result in power shortages and power rationing.

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  • Hsiao, Chih-Tung & Liu, Chung-Shu & Chang, Dong-Shang & Chen, Chun-Cheng, 2018. "Dynamic modeling of the policy effect and development of electric power systems: A case in Taiwan," Energy Policy, Elsevier, vol. 122(C), pages 377-387.
  • Handle: RePEc:eee:enepol:v:122:y:2018:i:c:p:377-387
    DOI: 10.1016/j.enpol.2018.07.001
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    as
    1. Ochoa, Camila & van Ackere, Ann, 2015. "Does size matter? Simulating electricity market coupling between Colombia and Ecuador," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1108-1124.
    2. Arango, Santiago, 2007. "Simulation of alternative regulations in the Colombian electricity market," Socio-Economic Planning Sciences, Elsevier, vol. 41(4), pages 305-319, December.
    3. Lee, Chien-Chiang & Chang, Chun-Ping, 2005. "Structural breaks, energy consumption, and economic growth revisited: Evidence from Taiwan," Energy Economics, Elsevier, vol. 27(6), pages 857-872, November.
    4. Wang, Hsiao-Fan & Sung, Meng-Ping & Hsu, Hsin-Wei, 2016. "Complementarity and substitution of renewable energy in target year energy supply-mix plannin–in the case of Taiwan," Energy Policy, Elsevier, vol. 90(C), pages 172-182.
    5. Ming, Zeng & Yingxin, Liu & Shaojie, Ouyang & Hui, Shi & Chunxue, Li, 2016. "Nuclear energy in the Post-Fukushima Era: Research on the developments of the Chinese and worldwide nuclear power industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 147-156.
    6. Herter, Karen & Wayland, Seth, 2010. "Residential response to critical-peak pricing of electricity: California evidence," Energy, Elsevier, vol. 35(4), pages 1561-1567.
    7. Sterman, John D., 1988. "Modeling the formation of expectations : The history of energy demand forecasts," International Journal of Forecasting, Elsevier, vol. 4(2), pages 243-259.
    8. 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.
    9. 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.
    10. Pasaoglu Kilanc, Guzay & Or, Ilhan, 2008. "A decision support tool for the analysis of pricing, investment and regulatory processes in a decentralized electricity market," Energy Policy, Elsevier, vol. 36(8), pages 3026-3034, August.
    11. Chen, Fung-Fei & Chou, Seng-Cho & Lu, Tai-Ken, 2013. "Scenario analysis of the new energy policy for Taiwan's electricity sector until 2025," Energy Policy, Elsevier, vol. 61(C), pages 162-171.
    12. Yu, L. & Li, Y.P. & Huang, G.H., 2016. "A fuzzy-stochastic simulation-optimization model for planning electric power systems with considering peak-electricity demand: A case study of Qingdao, China," Energy, Elsevier, vol. 98(C), pages 190-203.
    13. Cepeda, Mauricio & Finon, Dominique, 2013. "How to correct for long-term externalities of large-scale wind power development by a capacity mechanism?," Energy Policy, Elsevier, vol. 61(C), pages 671-685.
    14. Chih‐Tung Hsiao, 2014. "Industrial Development Research by Systems Approach in NICs: The Case in Taiwan," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(2), pages 258-267, March.
    15. D. Finon, 2013. "How to Correct Long-term Externalities of Large-scale Wind Power Development by a Capaciy Mechanism ?," Post-Print hal-00834997, HAL.
    16. Strupczewski, A., 2003. "Accident risks in nuclear-power plants," Applied Energy, Elsevier, vol. 75(1-2), pages 79-86, May.
    17. Pereira, Adelino J.C. & Saraiva, João Tomé, 2011. "Generation expansion planning (GEP) – A long-term approach using system dynamics and genetic algorithms (GAs)," Energy, Elsevier, vol. 36(8), pages 5180-5199.
    18. Liu, Chung-Shu & Hsiao, Chih-Tung & Chang, Dong-Shang & Hsiao, Cheng-Hsing, 2016. "How the European Union’s and the United States’ anti-dumping duties affect Taiwan's PV industry: A policy simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 296-305.
    19. Kim, Younghwan & Kim, Minki & Kim, Wonjoon, 2013. "Effect of the Fukushima nuclear disaster on global public acceptance of nuclear energy," Energy Policy, Elsevier, vol. 61(C), pages 822-828.
    20. Vivianne H. M. Visschers & Michael Siegrist, 2013. "How a Nuclear Power Plant Accident Influences Acceptance of Nuclear Power: Results of a Longitudinal Study Before and After the Fukushima Disaster," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 333-347, February.
    21. Renn, Ortwin & Marshall, Jonathan Paul, 2016. "Coal, nuclear and renewable energy policies in Germany: From the 1950s to the “Energiewende”," Energy Policy, Elsevier, vol. 99(C), pages 224-232.
    22. Olsina, Fernando & Garces, Francisco & Haubrich, H.-J., 2006. "Modeling long-term dynamics of electricity markets," Energy Policy, Elsevier, vol. 34(12), pages 1411-1433, August.
    23. Mathews, John A. & Tan, Hao, 2013. "The transformation of the electric power sector in China," Energy Policy, Elsevier, vol. 52(C), pages 170-180.
    24. Ford, Andrew, 1999. "Cycles in competitive electricity markets: a simulation study of the western United States," Energy Policy, Elsevier, vol. 27(11), pages 637-658, October.
    25. Qudrat-Ullah, Hassan, 2014. "Green power in Ontario: A dynamic model-based analysis," Energy, Elsevier, vol. 77(C), pages 859-870.
    26. D’Agostino, Anthony Louis & Sovacool, Benjamin K. & Trott, Kirsten & Ramos, Catherine Regalado & Saleem, Saleena & Ong, Yanchun, 2011. "What’s the state of energy studies research?: A content analysis of three leading journals from 1999 to 2008," Energy, Elsevier, vol. 36(1), pages 508-519.
    27. Cherp, Aleh & Vinichenko, Vadim & Jewell, Jessica & Suzuki, Masahiro & Antal, Miklós, 2017. "Comparing electricity transitions: A historical analysis of nuclear, wind and solar power in Germany and Japan," Energy Policy, Elsevier, vol. 101(C), pages 612-628.
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