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Long-term CO2 emissions reduction target and scenarios of power sector in Taiwan

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  • Ko, Fu-Kuang
  • Huang, Chang-Bin
  • Tseng, Pei-Ying
  • Lin, Chung-Han
  • Zheng, Bo-Yan
  • Chiu, Hsiu-Mei

Abstract

This study analyses a series of carbon dioxide (CO2) emissions abatement scenarios of the power sector in Taiwan according to the Sustainable Energy Policy Guidelines, which was released by Executive Yuan in June 2008. The MARKAL-MACRO energy model was adopted to evaluate economic impacts and optimal energy deployment for CO2 emissions reduction scenarios. This study includes analyses of life extension of nuclear power plant, the construction of new nuclear power units, commercialized timing of fossil fuel power plants with CO2 capture and storage (CCS) technology and two alternative flexible trajectories of CO2 emissions constraints. The CO2 emissions reduction target in reference reduction scenario is back to 70% of 2000 levels in 2050. The two alternative flexible scenarios, Rt4 and Rt5, are back to 70% of 2005 and 80% of 2005 levels in 2050. The results show that nuclear power plants and CCS technology will further lower the marginal cost of CO2 emissions reduction. Gross domestic product (GDP) loss rate in reference reduction scenario is 16.9% in 2050, but 8.9% and 6.4% in Rt4 and Rt5, respectively. This study shows the economic impacts in achieving Taiwan's CO2 emissions mitigation targets and reveals feasible CO2 emissions reduction strategies for the power sector.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:1:p:288-300
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    1. Contaldi, Mario & Gracceva, Francesco & Tosato, Giancarlo, 2007. "Evaluation of green-certificates policies using the MARKAL-MACRO-Italy model," Energy Policy, Elsevier, vol. 35(2), pages 797-808, February.
    2. Unger, Thomas & Ahlgren, Erik O., 2005. "Impacts of a common green certificate market on electricity and CO2-emission markets in the Nordic countries," Energy Policy, Elsevier, vol. 33(16), pages 2152-2163, November.
    3. Larson, Eric D. & Zongxin, Wu & DeLaquil, Pat & Wenying, Chen & Pengfei, Gao, 2003. "Future implications of China's energy-technology choices," Energy Policy, Elsevier, vol. 31(12), pages 1189-1204, September.
    4. Strachan, Neil & Pye, Steve & Kannan, Ramachandran, 2009. "The iterative contribution and relevance of modelling to UK energy policy," Energy Policy, Elsevier, vol. 37(3), pages 850-860, March.
    5. Chen, Wenying, 2005. "The costs of mitigating carbon emissions in China: findings from China MARKAL-MACRO modeling," Energy Policy, Elsevier, vol. 33(7), pages 885-896, May.
    6. Chen, Wenying & Wu, Zongxin & He, Jiankun & Gao, Pengfei & Xu, Shaofeng, 2007. "Carbon emission control strategies for China: A comparative study with partial and general equilibrium versions of the China MARKAL model," Energy, Elsevier, vol. 32(1), pages 59-72.
    Full references (including those not matched with items on IDEAS)

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    3. Kejia Yang & Yalin Lei, 2017. "The carbon dioxide marginal abatement cost calculation of Chinese provinces based on stochastic frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 505-521, January.
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    6. Hwang, Jenn Jiang & Chang, Wei Ru, 2011. "Policy progress in mitigation of climate change in Taiwan," Energy Policy, Elsevier, vol. 39(3), pages 1113-1122, March.
    7. Sarica, Kemal & Tyner, Wallace E., 2013. "Alternative policy impacts on US GHG emissions and energy security: A hybrid modeling approach," Energy Economics, Elsevier, vol. 40(C), pages 40-50.
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    10. Liu, Xi & Du, Huibin & Brown, Marilyn A. & Zuo, Jian & Zhang, Ning & Rong, Qian & Mao, Guozhu, 2018. "Low-carbon technology diffusion in the decarbonization of the power sector: Policy implications," Energy Policy, Elsevier, vol. 116(C), pages 344-356.
    11. Shih, Yi-Hsuan & Tseng, Chao-Heng, 2014. "Cost-benefit analysis of sustainable energy development using life-cycle co-benefits assessment and the system dynamics approach," Applied Energy, Elsevier, vol. 119(C), pages 57-66.
    12. Ahn, Young-Hwan & Jeon, Wooyoung, 2019. "Power sector reform and CO2 abatement costs in Korea," Energy Policy, Elsevier, vol. 131(C), pages 202-214.
    13. Geng, Yuhuan & Tian, Mingzhong & Zhu, Qiuan & Zhang, Jianjun & Peng, Changhui, 2011. "Quantification of provincial-level carbon emissions from energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3658-3668.
    14. Castelo Branco, David A. & Szklo, Alexandre & Gomes, Gabriel & Borba, Bruno S.M.C. & Schaeffer, Roberto, 2011. "Abatement costs of CO2 emissions in the Brazilian oil refining sector," Applied Energy, Elsevier, vol. 88(11), pages 3782-3790.
    15. Levin, Todd & Thomas, Valerie M. & Lee, Audrey J., 2011. "State-scale evaluation of renewable electricity policy: The role of renewable electricity credits and carbon taxes," Energy Policy, Elsevier, vol. 39(2), pages 950-960, February.
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    CO2 emissions reduction Power sector MARKAL-MACRO;

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