Exclusive: Climate Change and Low-carbon Development of Green Energy

Capacity of wind power generation and impacts of electricity transmission and energy storage on achieving “dual carbon” goal in China

  • CHEN Zhiye ,
  • ZENG Jiawei ,
  • WANG Yijing ,
  • WANG Rong
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  • Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China

Received date: 2024-01-03

  Revised date: 2024-04-07

  Online published: 2024-11-02

Abstract

This study employs high-resolution comprehensive digital geographic information to analyze the spatiotemporal differences of wind power resources and predict the impacts of electricity transmission and energy storage on the capacity of carbon emissions abatement by deploying wind power in China. The findings of this study include: 1) High capacities of wind power are identified over North China and Southwest China. The efficiency of wind power generation can be largely enhanced by improving the spatial layout of power installation and securing the development of electricity transmission and energy storage facilities. 2) The potential of wind power generation in China is predicted based on spatial and temporal distributions of wind power resources and hourly wind power generation loads at a spatial resolution of 1/120°×1/30°. with consideration of infrastructure construction such as electricity transportation and energy storage. The national wind power generation potential varies significantly between scenarios with different assumptions on land use. The projected capacity of wind power generation may reach 50 PW·h per year by assuming that all land pixels can be used for power generation, whereas it will decrease to 4 PW·h per year if filtering pixels suitable for wind power generation and optimizing the size of power plants under cost minimization. Provinces in the west of China are predicted to the hotspot areas of wind power generation while the potential of wind power generation is relatively lower. The efficiency of power generation will be largely reduced in the absence of electricity transportation and energy storage. Future studies should focus on improving planning and layout of wind power plants by coordinating the supporting facilities of electricity transportation and energy storage, which can increase the economic benefits when achieving the emission abatement targets. 3) Deploying wind power will significantly reduce carbon emissions in China. When the facilities of electricity transmission and energy storage are fully coordinated, the capacity of carbon emissions abatement by deploying wind power will be increased by 26%, accompanied with an 84% reduction in the average abatement costs. This paper provides a scientific foundation for deploying wind power at large scales in China. By 2060, a large amount of infrastructure for electricity transmission and energy storage will be needed to achieve energy balance under carbon neutrality in China, and then North China and Northwest China will be the primary areas of wind power generation.

Cite this article

CHEN Zhiye , ZENG Jiawei , WANG Yijing , WANG Rong . Capacity of wind power generation and impacts of electricity transmission and energy storage on achieving “dual carbon” goal in China[J]. Science & Technology Review, 2024 , 42(19) : 47 -58 . DOI: 10.3981/j.issn.1000-7857.2024.02.00234

References

[1] 国家统计局. 中国统计年鉴: 2023[M]. 北京: 中国统计出版社, 2023: 275-293.
[2] 《世界能源统计年鉴》(72版)[R]. 英国: 能源研究所, 2023.
[3] 联合国气候变化框架公约. 巴黎协定[EB/OL]. (2015-12-12)[2024-01-08]. https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement.
[4] Zeyringer M, Price J, Fais B, et al. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather [J]. Nature Energy, 2018, 3(5): 395-403.
[5] 国家发展改革委关于完善风电上网电价政策的通知[EB/OL]. (2019-05-21) [2024-01-08]. https://www.ndrc.gov.cn/xxgk/zcfb/tz/201905/t20190524_962453.html?code=&state=123.
[6] Zhou S, Wang Y, Zhou Y Y, et al. Roles of wind and solar energy in China's power sector: Implications of intermittency constraints[J]. Applied Energy, 2018, 213: 22-30.
[7] Chen X Y, McElroy M B, Kang C Q. Integrated energy systems for higher wind penetration in China: Formulation, implementation and impacts[J]. IEEE Transactions on Power Systems, 2017: 1.
[8] Ding N, Duan J H, Xue S, et al. Overall review of peaking power in China: Status quo, barriers and solutions[J]. Renewable and Sustainable Energy Reviews, 2015, 42: 503-516.
[9] 全球风能理事会. 全球风电装机统计(2015)[EB/OL]. (2016-02-15) [2024-01-08]. https://news.bjx.com.cn/html/20160215/707829.shtml.
[10] 中国电力. 2015及中长期我国电力工业展望[EB/OL]. (2016-01-06)[2024-01-08]. http://www.chinapower.com.cn/informationzxbg/20160106/16252.html.
[11] 2022年全球风电装机容量增长、区域分布统计及23— 26年发展趋势预测分析[EB/OL]. (2023-06-01)[2024-01-08]. http://www.leadingir.com/datacenter/view/9134.html.
[12] He G, Kammen D M. Where, when and how much wind is available? A provincial-scale wind resource assessment for China[J]. Energy Policy, 2014, 74: 116-122.
[13] Feng J X, Feng L Y, Wang J L, et al. Evaluation of the onshore wind energy potential in mainland China: Based on GIS modeling and EROI analysis[J]. Resources, Conservation and Recycling, 2020, 152: 104484.
[14] Yu S W, Gui H Z, Yang J. China's provincial wind power potential assessment and its potential contributions to the "dual carbon" targets[J]. Environmental Science and Pollution Research, 2023, 30(5): 13094-13117.
[15] Luo G L, Li Y L, Tang W J, et al. Wind curtailment of China's wind power operation: Evolution, causes and solutions[J]. Renewable and Sustainable Energy Reviews, 2016, 53: 1190-1201.
[16] Liu F, Sun F B, Liu W B, et al. On wind speed pattern and energy potential in China[J]. Applied Energy, 2019, 236: 867-876.
[17] Yuan T J, Ma T T, Sun Y Q, et al. Game-based generation scheduling optimization for power plants considering long-distance consumption of wind-solar-thermal hybrid systems[J]. Energies, 2017, 10(9): 1260.
[18] 郭为民, 魏强, 唐耀华. 一种可在特高压或风电大量接入后减少旋转备用的新方法[C]//智能化电站技术发展研讨暨电站自动化2013年会论文集. 郑州: 国网河南省电力公司电力科学研究院, 2013: 9.
[19] Qi Q R, Zhang C P. Study of some key issues related to large-scale wind power grid integration in China[C]//Proceedings of Asia-Pacific Power and Energy Engineering Conference. Piscataway, NJ: IEEE, 2012: 1-4.
[20] Su C G, Cheng C T, Wang P L, et al. Optimization model for long-distance integrated transmission of wind farms and pumped-storage hydropower plants[J]. Applied Energy, 2019, 242: 285-293.
[21] Schill W. Electricity storage and the renewable energy transition[J]. Joule, 2020, 4(10): 2059-2064.
[22] Land cover type yearly L3 global 500 m SIN grid[DS]. Survey U S G: 2014.
[23] 中国生态功能保护区[DS]. 资源环境科学与数据中心: 2020.
[24] Shuttle radar topography mission (SRTM) [DS]. NASA N: 2015.
[25] Gelaro R, McCarty W, Suárez M J, et al. The modernera retrospective analysis for research and applications, version 2(MERRA-2) [J]. Journal of Climate, 2017, 30(14): 5419-5454.
[26] Global Modeling and Assimilation Office. GEOS atmospheric assimilation products[EB/OL]. (2022-07-11) [2024-01-08]. https://gmao.gsfc.nasa.gov/GMAO_products/NRT_products.
[27] Wang Y J, Wang R, Tanaka K, et al. Accelerating the energy transition towards photovoltaic and wind in China [J]. Nature, 2023, 619(7971): 761-767.
[28] Jacobson M Z, Archer C L. Saturation wind power potential and its implications for wind energy[J]. Proceedings of the National Academy of Sciences of the United States of America, 2012, 109(39): 15679-15684.
[29] 肯巴提·波拉提. 城市下垫面零平面位移和粗糙长度的计算[D]. 南京: 南京信息工程大学, 2015.
[30] Gao Y, Ma S X, Wang T, et al. Assessing the wind energy potential of China in considering its variability/intermittency[J]. Energy Conversion and Management, 2020, 226: 113580.
[31] Bauer L, Matysik S. Wind turbine specification[EB/OL]. (2024-01-08) [2024-01-08]. https://en.wind-turbinemodels.com/turbines.
[32] Masters G M. Renewable and efficient electric power systems[M]. New Jersey: John Wiley & Sons, 2004.
[33] Huang J L, Lu X, McElroy M B. Meteorologically defined limits to reduction in the variability of outputs from a coupled wind farm system in the Central US[J]. Renewable Energy, 2014, 62: 331-340.
[34] Rinne E, Holttinen H, Kiviluoma J, et al. Effects of turbine technology and land use on wind power resource potential[J]. Nature Energy, 2018, 3: 494-500.
[35] Duan H B, Zhou S, Jiang K J, et al. Assessing China's efforts to pursue the 1.5℃ warming limit[J]. Science, 2021, 372(6540): 378-385.
[36] Chen X Y, Liu Y X, Wang Q, et al. Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling[J]. Joule, 2021, 5(10): 2715-2741.
[37] Cole W J, Frazier A W. Cost projections for utility-scale battery storage[EB/OL]. (2019-06-01) [2024-01-08]. https://www.nrel.gov/docs/fy19osti/73222.
[38] 中国能源转型与”十四五“电力规划研究[R]. 全球能源互联网发展合作组织, 2020.
[39] 电力规划设计总院. 电网工程限额设计控制指标-2019年水平[M]. 北京: 中国电力出版社, 2020.
[40] 电力规划设计总院“. 十一五”期间投产电力工程项目造价情况[R]. 北京: 国家电监会, 2011.
[41] Hiesl A, Ajanovic A, Haas R. On current and future economics of electricity storage[J]. Greenhouse Gases: Science and Technology, 2020, 10(6): 1176-1192.
[42] Zhang T, Emanuel A E, Orr J A. Distribution feeder upgrade deferral through use of energy storage systems[C]//Proceedings of IEEE Power and Energy Society General Meeting (PESGM). Piscataway, NJ: IEEE, 2016: 1-5.
[43] Liu L B, Wang Z, Wang Y, et al. Optimizing wind/solar combinations at finer scales to mitigate renewable energy variability in China[J]. Renewable and Sustainable Energy Reviews, 2020, 132: 110151.
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