IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v277y2020ics0306261920310965.html
   My bibliography  Save this article

Effect of Taiwan's energy policy on unit commitment in 2025

Author

Listed:
  • Hong, Ying-Yi
  • Apolinario, Gerard Francesco DG.
  • Chung, Chen-Nien
  • Lu, Tai-Ken
  • Chu, Chia-Chi

Abstract

This study presents the effect of Taiwan's energy policy on its unit commitment in the year 2025. Taiwan's energy policy has been changing since 2005, since when it has required the decommissioning of nuclear power plants in response to the crisis in Fukushima, the adoption of the Kyoto Protocol, and the increase of renewable sources of power generation to 20% of its energy mix. The paper models the unit commitment for the Taiwan power system under Taiwan's energy policy. The study compares unit commitments in 2018, summer 2025, and winter 2025 using AMPL Software with the CPLEX 12.9.0 Solver. The results show that the net demand curve will change by 2025, forming a “duck – curve” model due to the high penetration of renewable energy. The daily carbon dioxide emission in 2018 for five percent (5%) spinning reserve is 392,151,000 kg. The said amount is larger than in winter 2025 when it will be 311,314,000 kg indicating the importance of the full implementation of renewable energy projects in helping to reach Taiwan's goal to limit carbon dioxide emission by 2025. Pumped storage scheduling changes from conventional pumping in the early morning to pumping from around noon to late afternoon due to the high penetration of renewable energy. The construction of combined-cycle units will have a critical role in the achieving of the spinning reserve capacity goal set by the Taiwan government, to avoid the importation of energy and to maintain the energy security of the country.

Suggested Citation

  • Hong, Ying-Yi & Apolinario, Gerard Francesco DG. & Chung, Chen-Nien & Lu, Tai-Ken & Chu, Chia-Chi, 2020. "Effect of Taiwan's energy policy on unit commitment in 2025," Applied Energy, Elsevier, vol. 277(C).
  • Handle: RePEc:eee:appene:v:277:y:2020:i:c:s0306261920310965
    DOI: 10.1016/j.apenergy.2020.115585
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920310965
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2020.115585?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Behrangrad, Mahdi & Sugihara, Hideharu & Funaki, Tsuyoshi, 2011. "Effect of optimal spinning reserve requirement on system pollution emission considering reserve supplying demand response in the electricity market," Applied Energy, Elsevier, vol. 88(7), pages 2548-2558, July.
    2. Osório, G.J. & Lujano-Rojas, J.M. & Matias, J.C.O. & Catalão, J.P.S., 2015. "A probabilistic approach to solve the economic dispatch problem with intermittent renewable energy sources," Energy, Elsevier, vol. 82(C), pages 949-959.
    3. Salkuti, Surender Reddy, 2019. "Day-ahead thermal and renewable power generation scheduling considering uncertainty," Renewable Energy, Elsevier, vol. 131(C), pages 956-965.
    4. Shin, Hansol & Kim, Tae Hyun & Kim, Hyoungtae & Lee, Sungwoo & Kim, Wook, 2019. "Environmental shutdown of coal-fired generators for greenhouse gas reduction: A case study of South Korea," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Domínguez, R. & Carrión, M. & Oggioni, G., 2020. "Planning and operating a renewable-dominated European power system under uncertainty," Applied Energy, Elsevier, vol. 258(C).
    6. Shayesteh, E. & Amelin, M. & Soder, L., 2015. "Area equivalents for spinning reserve determination in interconnected power systems," Energy, Elsevier, vol. 88(C), pages 907-916.
    7. Shayesteh, E. & Yousefi, A. & Parsa Moghaddam, M., 2010. "A probabilistic risk-based approach for spinning reserve provision using day-ahead demand response program," Energy, Elsevier, vol. 35(5), pages 1908-1915.
    8. Gao, Anton Ming-Zhi & Fan, Chien-Te & Liao, Chao-Ning, 2018. "Application of German energy transition in Taiwan: A critical review of unique electricity liberalisation as a core strategy to achieve renewable energy growth," Energy Policy, Elsevier, vol. 120(C), pages 644-654.
    9. Partovi, Farzad & Nikzad, Mehdi & Mozafari, Babak & Ranjbar, Ali Mohamad, 2011. "A stochastic security approach to energy and spinning reserve scheduling considering demand response program," Energy, Elsevier, vol. 36(5), pages 3130-3137.
    10. Dietzenbacher, Erik & Kulionis, Viktoras & Capurro, Filippo, 2020. "Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014," Applied Energy, Elsevier, vol. 258(C).
    11. Mallapragada, Dharik S. & Sepulveda, Nestor A. & Jenkins, Jesse D., 2020. "Long-run system value of battery energy storage in future grids with increasing wind and solar generation," Applied Energy, Elsevier, vol. 275(C).
    12. Ruppert, Leopold & Schürhuber, Robert & List, Bernhard & Lechner, Alois & Bauer, Christian, 2017. "An analysis of different pumped storage schemes from a technological and economic perspective," Energy, Elsevier, vol. 141(C), pages 368-379.
    13. Xu, Beibei & Chen, Diyi & Venkateshkumar, M. & Xiao, Yu & Yue, Yan & Xing, Yanqiu & Li, Peiquan, 2019. "Modeling a pumped storage hydropower integrated to a hybrid power system with solar-wind power and its stability analysis," Applied Energy, Elsevier, vol. 248(C), pages 446-462.
    14. 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.
    15. Shyu, Chian-Woei, 2014. "Development of Taiwanese government’s climate policy after the Kyoto protocol: Applying policy network theory as an analytical framework," Energy Policy, Elsevier, vol. 69(C), pages 334-346.
    16. Cheng, Chuntian & Su, Chengguo & Wang, Peilin & Shen, Jianjian & Lu, Jianyu & Wu, Xinyu, 2018. "An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids," Energy, Elsevier, vol. 163(C), pages 722-733.
    17. Khaloie, Hooman & Abdollahi, Amir & Shafie-khah, Miadreza & Anvari-Moghaddam, Amjad & Nojavan, Sayyad & Siano, Pierluigi & Catalão, João P.S., 2020. "Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model," Applied Energy, Elsevier, vol. 259(C).
    18. Lin, Yashen & Johnson, Jeremiah X. & Mathieu, Johanna L., 2016. "Emissions impacts of using energy storage for power system reserves," Applied Energy, Elsevier, vol. 168(C), pages 444-456.
    19. Chuang, Ming-Tung & Chang, Shih-Yu & Hsiao, Ta-Chih & Lu, Yun-Ru & Yang, Tsung-Yeh, 2019. "Analyzing major renewable energy sources and power stability in Taiwan by 2030," Energy Policy, Elsevier, vol. 125(C), pages 293-306.
    20. Hou, Qingchun & Zhang, Ning & Du, Ershun & Miao, Miao & Peng, Fei & Kang, Chongqing, 2019. "Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China," Applied Energy, Elsevier, vol. 242(C), pages 205-215.
    21. Chen, Wei-Ming & Kim, Hana & Yamaguchi, Hideka, 2014. "Renewable energy in eastern Asia: Renewable energy policy review and comparative SWOT analysis for promoting renewable energy in Japan, South Korea, and Taiwan," Energy Policy, Elsevier, vol. 74(C), pages 319-329.
    22. Chuang, Ming Chih & Ma, Hwong Wen, 2013. "An assessment of Taiwan’s energy policy using multi-dimensional energy security indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 301-311.
    23. Babrowski, Sonja & Jochem, Patrick & Fichtner, Wolf, 2016. "How to model the cycling ability of thermal units in power systems," Energy, Elsevier, vol. 103(C), pages 397-409.
    24. 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.
    25. Yu, Hsiang-Hua & Chang, Kuo-Hao & Hsu, Hsin-Wei & Cuckler, Robert, 2019. "A Monte Carlo simulation-based decision support system for reliability analysis of Taiwan’s power system: Framework and empirical study," Energy, Elsevier, vol. 178(C), pages 252-262.
    26. Jiang, L. & Gonzalez-Diaz, A. & Ling-Chin, J. & Roskilly, A.P. & Smallbone, A.J., 2019. "Post-combustion CO2 capture from a natural gas combined cycle power plant using activated carbon adsorption," Applied Energy, Elsevier, vol. 245(C), pages 1-15.
    27. Jianhua Chen & Wenchuan Wu & Boming Zhang & Bin Wang & Qinglai Guo, 2013. "A Spinning Reserve Allocation Method for Power Generation Dispatch Accommodating Large-Scale Wind Power Integration," Energies, MDPI, vol. 6(10), pages 1-25, October.
    28. Wu, Kuei-Yen & Huang, Yun-Hsun & Wu, Jung-Hua, 2018. "Impact of electricity shortages during energy transitions in Taiwan," Energy, Elsevier, vol. 151(C), pages 622-632.
    29. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Han, Jen-Yu & Vohnicky, Petr, 2022. "An optimized approach for mapping solar irradiance in a mid-low latitude region based on a site-adaptation technique using Himawari-8 satellite imageries," Renewable Energy, Elsevier, vol. 187(C), pages 603-617.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ying-Yi Hong & Gerard Francesco DG. Apolinario, 2021. "Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications," Energies, MDPI, vol. 14(20), pages 1-47, October.
    2. Chun Chih Chen, 2021. "The path to a 2025 nuclear-free Taiwan: An analysis of dynamic competition among emissions, energy, and economy," Energy & Environment, , vol. 32(4), pages 668-689, June.
    3. Shin, Hansol & Kim, Wook, 2023. "Comparison of the centralized and decentralized environmentally constrained economic dispatch methods of coal-fired generators: A case study for South Korea," Energy, Elsevier, vol. 275(C).
    4. Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
    5. Lim, Juin Yau & Safder, Usman & How, Bing Shen & Ifaei, Pouya & Yoo, Chang Kyoo, 2021. "Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model," Applied Energy, Elsevier, vol. 283(C).
    6. Chien-Chi Lin & Chih-Ming Dong, 2023. "Exploring Consumers’ Purchase Intention on Energy-Efficient Home Appliances: Integrating the Theory of Planned Behavior, Perceived Value Theory, and Environmental Awareness," Energies, MDPI, vol. 16(6), pages 1-16, March.
    7. Chang, Ching-Ter & Lee, Hsing-Chen, 2016. "Taiwan's renewable energy strategy and energy-intensive industrial policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 456-465.
    8. Saez-Gallego, Javier & Morales, Juan M. & Madsen, Henrik & Jónsson, Tryggvi, 2014. "Determining reserve requirements in DK1 area of Nord Pool using a probabilistic approach," Energy, Elsevier, vol. 74(C), pages 682-693.
    9. Shin, Hansol & Kim, Tae Hyun & Kim, Hyoungtae & Lee, Sungwoo & Kim, Wook, 2019. "Environmental shutdown of coal-fired generators for greenhouse gas reduction: A case study of South Korea," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Roy, Sanjoy, 2018. "The maximum likelihood optima for an economic load dispatch in presence of demand and generation variability," Energy, Elsevier, vol. 147(C), pages 915-923.
    11. Hon Chung Lau & Steve C. Tsai, 2022. "A Decarbonization Roadmap for Taiwan and Its Energy Policy Implications," Sustainability, MDPI, vol. 14(14), pages 1-34, July.
    12. Hovgaard, Tobias Gybel & Larsen, Lars F.S. & Edlund, Kristian & Jørgensen, John Bagterp, 2012. "Model predictive control technologies for efficient and flexible power consumption in refrigeration systems," Energy, Elsevier, vol. 44(1), pages 105-116.
    13. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
    14. Hong Zhang & Hao Sun & Qian Zhang & Guanxun Kong, 2018. "Microgrid Spinning Reserve Optimization with Improved Information Gap Decision Theory," Energies, MDPI, vol. 11(9), pages 1-17, September.
    15. Roy, Sanjoy, 2020. "A technical perspective on variability costs: Dependence on power variability and cross-correlations," Energy, Elsevier, vol. 198(C).
    16. Yao, Lixia & Shi, Xunpeng & Andrews-Speed, Philip, 2018. "Conceptualization of energy security in resource-poor economies: The role of the nature of economy," Energy Policy, Elsevier, vol. 114(C), pages 394-402.
    17. Behrangrad, Mahdi & Sugihara, Hideharu & Funaki, Tsuyoshi, 2012. "Integrating the cold load pickup effect of reserve supplying demand response resource in social cost minimization based system scheduling," Energy, Elsevier, vol. 45(1), pages 1034-1041.
    18. Alvarez, Gonzalo E., 2020. "Operation of pumped storage hydropower plants through optimization for power systems," Energy, Elsevier, vol. 202(C).
    19. Hu, Jinhong & Yang, Jiebin & He, Xianghui & Zhao, Zhigao & Yang, Jiandong, 2023. "Transient analysis of a hydropower plant with a super-long headrace tunnel during load acceptance: Instability mechanism and measurement verification," Energy, Elsevier, vol. 263(PA).
    20. Kwag, Kyuhyeong & Shin, Hansol & Oh, Hyobin & Yun, Sangmin & Kim, Tae Hyun & Hwang, Pyeong-Ik & Kim, Wook, 2023. "Bilevel programming approach for the quantitative analysis of renewable portfolio standards considering the electricity market," Energy, Elsevier, vol. 263(PD).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:277:y:2020:i:c:s0306261920310965. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.