RESEARCH ON LEVELIZED COST MODEL OF WIND FARMS BASED ON WIND TURBINE RELIABILITY

Liu Ximei; Cui Yang; Dong Jianming; Wang Kairang

doi:10.19912/j.0254-0096.tynxb.2020-1382

PDF(1540 KB)

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (10) : 304-311. DOI: 10.19912/j.0254-0096.tynxb.2020-1382

RESEARCH ON LEVELIZED COST MODEL OF WIND FARMS BASED ON WIND TURBINE RELIABILITY

Liu Ximei¹, Cui Yang², Dong Jianming^3,4, Wang Kairang^3,4

Author information +

History +

Abstract

As the reform of the electricity market continues to deepen, the wind power industry faces the dual pressures of “subsidy decline” and “reducing wind power cost”. The key to realizing wind on-grid price equal to the benchmark price of thermal power is to reduce the cost of wind power and improve its competitiveness in the power market. This paper comprehensively considers the overall operating cost of wind farms, the reliability of wind turbines, and the power generation of wind farms, establishes a Levelized Cost of Energy model for wind farms based on wind turbine reliability from the perspective of the full life cycle of wind farms. With the help of a quantitative analysis example, it is concluded that improving the reliability of the wind turbine reliability can reduce the fault maintenance cost and increase the operating hours of the wind farm, which achieve the goal of reducing the cost of Levelized Cost of wind power. On this basis, the wind power utilization hours meeting to on-grid price equal to the benchmark price of thermal power is estimated. Furthermore, the paper gives suggestions for promoting wind power development.

Key words

wind power cost / wind turbines / reliability / wind power operation and maintenance / levelized cost / wind power utilization hours

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Liu Ximei, Cui Yang, Dong Jianming, Wang Kairang. RESEARCH ON LEVELIZED COST MODEL OF WIND FARMS BASED ON WIND TURBINE RELIABILITY[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 304-311 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1382

References

[1] 国家统计局. 中华人民共和国2020年国民经济和社会发展统计公报[EB/OL]. http://www.stats.gov.cn/tjsj/zxfb/ 202102/t20210227_1814154.html
[2] 王仲颖,时璟丽, 赵勇强.能源技术路线图-中国风电发展路线图2050[R]. 2011.
[3] ANASTASIA I, ANDREW A, FEARGAL B.Parametric capex, opex, and lcoe expressions for offshore wind farms based on global deployment parameters[J]. Energy sources, part B: economics, planning, and policy, 2018, 13(5): 281-290.
[4] MILLER L, CARRIVEAU R, HARPER S, et al.Evaluating the link between LCOE and PPA elements and structure for wind energy[J]. Energy strategy reviews, 2017, 16: 33-42.
[5] BRUCK M, SANDBORN P, GOUDARZI N.A levelized cost of energy (LCOE) model for wind farms that include power purchase agreements (PPAs)[J]. Renewable energy, 2018, 122: 131-139.
[6] ASHURI T, ZAAIJER M B, MARTINS J R R A, et al. Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy[J]. Renewable energy, 2014, 68: 893-905.
[7] DIAF S, DIAF D, BELHAMEL M, et al.A methodology for optimal sizing of autonomous hybrid PV/wind system[J]. Energy policy, 2007, 35(11): 5708-5718.
[8] LANTZ E, WISER R, HAND M.The past and future cost of wind energy[R]. National renewable energy laboratory, golden, CO, report No.NREL/TP-6A20-53510, 2012.
[9] HIRTH L, UECKERDT F, EDENHOFER O.Integration costs revisited-an economic framework for wind and solar variability[J]. Renewable energy, 2015, 74: 925-939.
[10] UECKERDT F, HIRTH L, LUDERER G, et al.System LCOE: what are the costs of variable renewables[J]. Energy, 2013, 63: 61-75.
[11] LIU Z F, ZHANG W H, ZHAO C H, et al.The economics of wind power in China and policy implications[J]. Energies, 2015, 8(2): 1529-1546.
[12] CORY K S, SCHWABE P.Wind levelized cost of energy: a comparison of technical and financing input variables[R]. National renewable energy laboratory, goladen, CO, 2009.
[13] GIELEN D.Renewable energy technologies: cost analysis series-wind power[R]. Volume 1: Power Sector Issue, 2012.
[14] LANTZ E, WISER R, HAND M.IEA wind task 26: the past and future cost of wind energy, work package 2[R]. National renewable energy laboratory (NREL), golden, CO, 2012.
[15] 刘喜梅, 白恺, 邓春, 等. 大型风电项目平准化成本模型研究[J]. 可再生能源, 2016, 34(12): 1853-1858.
LIU X M, BAI K, DENG C, et al.Research on levelized cost of energy model of large-scale wind power projects[J]. Renewable energy resources, 2016, 34(12): 1853-1858.
[16] TIMOTHY C.A levelized cost of energy analysis for a mechanical variable speed wind turbine[D]. Durham: Duke University, 2012.
[17] OUYANG X L, LIN B Q.Levelized cost of electricity (LCOE) of renewable energies and required subsidies in China[J]. Energy policy, 2014, 70: 64-73.
[18] PARRADO C, GIRARD A, SIMON F, et al.2050 LCOE (levelized cost of energy) projection for a hybrid PV (photovoltaic)-CSP (concentrated solar power) plant in the Atacama Desert, Chile[J]. Energy, 2016, 94: 422-430.
[19] PAWEL I.The cost of storage-how to calculate the levelized cost of stored energy (LCOE) and applications to renewable energy generation[J]. Energy procedia, 2014, 46: 68-77.
[20] HOANG T K, QUÉVAL L, BERRIAUD C, et al. Design of a 20-MW fully superconducting wind turbine generator to minimize the levelized cost of energy[J]. IEEE transactions on applied superconductivity, 2018, 28(4): 1-5.
[21] MIGNAN A, KARVOUNIS D, Broccardo M, et al.Including seismic risk mitigation measures into the levelized cost of electricity in enhanced geothermal systems for optimal siting[J]. Applied energy, 2019, 238: 831-850.
[22] 李垚, 朱才朝, 陶友传, 等. 风电机组可靠性研究现状与发展趋势[J]. 中国机械工程, 2017, 28(9): 1125-1133.
LI Y, ZHU C C, TAO Y C, et al.Research status and development tendency of wind turbine reliability[J]. China mechanical engineering, 2017, 28(9): 1125-1133.
[23] 王建. 全寿命周期成本理论在电力设备投资决策中的应用研究[D]. 重庆: 重庆大学, 2008.
WANG J.Research on electric equipment investment decision-making based on LCC theory[D]. Chongqing: Chongqing University, 2008.