Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Achieving grid parity of wind power in China : present levelized cost of electricity and future evolution
Authors: Tu, Qiang
Betz, Regina
Mo, Jianlei
Fan, Ying
Liu, Yu
DOI: 10.1016/j.apenergy.2019.05.039
Published in: Applied Energy
Volume(Issue): 250
Page(s): 1053
Pages to: 1064
Issue Date: 2019
Publisher / Ed. Institution: Elsevier
ISSN: 0306-2619
Language: English
Subject (DDC): 333.79: Energy
Abstract: China has adopted an ambitious plan for wind power to achieve grid parity with the on-grid price of coal-fired power in 2020. Whether this target can be achieved is a great concern for policy makers as well as potential investors. To address this issue, we first estimate the future levelized cost of electricity (LCOE) of wind power using a learning curve method, and then determine whether grid parity can be achieved by comparing it with the on-grid price of coal-fired power. Specially, the effect of carbon pricing on the grid-parity is explored, and a sensitivity analysis on how the discount rates, learning rates, and curtailment rates affect grid parity is conducted. The learning rate of onshore wind power is estimated using a panel dataset consisting of information of 2059 onshore wind projects in China from 2006 to 2015. Based on this learning rate, the future LCOE of Chinese onshore wind power from 2016 to 2025 is calculated. The results show that the LCOE of onshore wind power decreases by 13.91% from 0.40 RMB/kWh in 2016 to 0.34 RMB/kWh in 2025. By comparing the LCOE with the on-grid price of coal-fired power, the grid parity of onshore wind power may be achieved in 2019. With the implementation of the carbon pricing policy, the grid parity will be achieved earlier. More specifically, with the carbon price reaching 10, 35, and 60 RMB/t CO2, the grid parity can be achieved in 2019, 2017, and 2016, respectively. The results of the sensitivity analysis show that in the case of high discount rates, low learning rates, high curtailment rates, high O&M cost and low capacity factor, the grid parity will be delayed, and a high carbon price will be required to achieve the grid parity.
URI: https://digitalcollection.zhaw.ch/handle/11475/17373
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Management and Law
Organisational Unit: Center for Energy and Environment (CEE)
Appears in collections:Publikationen School of Management and Law

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Tu, Q., Betz, R., Mo, J., Fan, Y., & Liu, Y. (2019). Achieving grid parity of wind power in China : present levelized cost of electricity and future evolution. Applied Energy, 250, 1053–1064. https://doi.org/10.1016/j.apenergy.2019.05.039
Tu, Q. et al. (2019) ‘Achieving grid parity of wind power in China : present levelized cost of electricity and future evolution’, Applied Energy, 250, pp. 1053–1064. Available at: https://doi.org/10.1016/j.apenergy.2019.05.039.
Q. Tu, R. Betz, J. Mo, Y. Fan, and Y. Liu, “Achieving grid parity of wind power in China : present levelized cost of electricity and future evolution,” Applied Energy, vol. 250, pp. 1053–1064, 2019, doi: 10.1016/j.apenergy.2019.05.039.
TU, Qiang, Regina BETZ, Jianlei MO, Ying FAN und Yu LIU, 2019. Achieving grid parity of wind power in China : present levelized cost of electricity and future evolution. Applied Energy. 2019. Bd. 250, S. 1053–1064. DOI 10.1016/j.apenergy.2019.05.039
Tu, Qiang, Regina Betz, Jianlei Mo, Ying Fan, and Yu Liu. 2019. “Achieving Grid Parity of Wind Power in China : Present Levelized Cost of Electricity and Future Evolution.” Applied Energy 250: 1053–64. https://doi.org/10.1016/j.apenergy.2019.05.039.
Tu, Qiang, et al. “Achieving Grid Parity of Wind Power in China : Present Levelized Cost of Electricity and Future Evolution.” Applied Energy, vol. 250, 2019, pp. 1053–64, https://doi.org/10.1016/j.apenergy.2019.05.039.


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