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On wind speed pattern and energy potential in China

Citations

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Cited by:

  1. Zetao Huang & Youkai Yu & Yushu Chen & Tao Tan & Xuhui Kong, 2022. "Mapping of the Greenhouse Gas Emission Potential for the Offshore Wind Power Sector in Guangdong, China," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
  2. Zhuo Chen & Wei Li & Junhong Guo & Zhe Bao & Zhangrong Pan & Baodeng Hou, 2020. "Projection of Wind Energy Potential over Northern China Using a Regional Climate Model," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
  3. Liu, Fa & Wang, Xunming & Sun, Fubao & Wang, Hong, 2022. "Correct and remap solar radiation and photovoltaic power in China based on machine learning models," Applied Energy, Elsevier, vol. 312(C).
  4. Fuquan Zhao & Fanlong Bai & Xinglong Liu & Zongwei Liu, 2022. "A Review on Renewable Energy Transition under China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 14(22), pages 1-27, November.
  5. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2023. "Sustainable development pathways of China's wind power industry under uncertainties: Perspective from economic benefits and technical potential," Energy Policy, Elsevier, vol. 182(C).
  6. Gao, Yang & Ma, Shaoxiu & Wang, Tao & Miao, Changhong & Yang, Fan, 2022. "Distributed onshore wind farm siting using intelligent optimization algorithm based on spatial and temporal variability of wind energy," Energy, Elsevier, vol. 258(C).
  7. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
  8. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  9. Bilal, Boudy & Adjallah, Kondo Hloindo & Yetilmezsoy, Kaan & Bahramian, Majid & Kıyan, Emel, 2021. "Determination of wind potential characteristics and techno-economic feasibility analysis of wind turbines for Northwest Africa," Energy, Elsevier, vol. 218(C).
  10. Liu, Fa & Wang, Xunming & Sun, Fubao & Kleidon, Axel, 2023. "Potential impact of global stilling on wind energy production in China," Energy, Elsevier, vol. 263(PB).
  11. Liang, Yushi & Wu, Chunbing & Ji, Xiaodong & Zhang, Mulan & Li, Yiran & He, Jianjun & Qin, Zhiheng, 2022. "Estimation of the influences of spatiotemporal variations in air density on wind energy assessment in China based on deep neural network," Energy, Elsevier, vol. 239(PC).
  12. Li, Jiangxia & Pan, Shunqi & Chen, Yongping & Yao, Yu & Xu, Conghao, 2022. "Assessment of combined wind and wave energy in the tropical cyclone affected region:An application in China seas," Energy, Elsevier, vol. 260(C).
  13. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
  14. Liu, Fa & Sun, Fubao & Wang, Xunming, 2023. "Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China," Applied Energy, Elsevier, vol. 348(C).
  15. Li, Mingquan & Virguez, Edgar & Shan, Rui & Tian, Jialin & Gao, Shuo & Patiño-Echeverri, Dalia, 2022. "High-resolution data shows China’s wind and solar energy resources are enough to support a 2050 decarbonized electricity system," Applied Energy, Elsevier, vol. 306(PA).
  16. Liu, Laibao & Wang, Zheng & Wang, Yang & Wang, Jun & Chang, Rui & He, Gang & Tang, Wenjun & Gao, Ziqi & Li, Jiangtao & Liu, Changyi & Zhao, Lin & Qin, Dahe & Li, Shuangcheng, 2020. "Optimizing wind/solar combinations at finer scales to mitigate renewable energy variability in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
  17. Wang, Chengdong & Wang, Yutao & Tong, Xin & Ulgiati, Sergio & Liang, Sai & Xu, Ming & Wei, Wendong & Li, Xiao & Jin, Mingzhou & Mao, Jiafu, 2020. "Mapping potentials and bridging regional gaps of renewable resources in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
  18. Miao, Haozeyu & Xu, Haiming & Huang, Gang & Yang, Kai, 2023. "Evaluation and future projections of wind energy resources over the Northern Hemisphere in CMIP5 and CMIP6 models," Renewable Energy, Elsevier, vol. 211(C), pages 809-821.
  19. Xu, Wenxuan & Liu, Yongxue & Wu, Wei & Dong, Yanzhu & Lu, Wanyun & Liu, Yongchao & Zhao, Bingxue & Li, Huiting & Yang, Renfei, 2020. "Proliferation of offshore wind farms in the North Sea and surrounding waters revealed by satellite image time series," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
  20. Chen, Lei & Xie, Xiaorong & Li, Xiang & Yang, Lei & Cao, Xin, 2023. "Online SSO stability analysis-based oscillation parameter estimation in converter-tied grids," Applied Energy, Elsevier, vol. 351(C).
  21. Martin, Sean & Jung, Sungmoon & Vanli, Arda, 2020. "Impact of near-future turbine technology on the wind power potential of low wind regions," Applied Energy, Elsevier, vol. 272(C).
  22. Zhang, Chongyu & Lu, Xi & Ren, Guo & Chen, Shi & Hu, Chengyu & Kong, Zhaoyang & Zhang, Ning & Foley, Aoife M., 2021. "Optimal allocation of onshore wind power in China based on cluster analysis," Applied Energy, Elsevier, vol. 285(C).
  23. Cheng Liu & Qinglan Li & Wei Zhao & Yuqing Wang & Riaz Ali & Dian Huang & Xiaoxiong Lu & Hui Zheng & Xiaolin Wei, 2020. "Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
  24. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(C).
  25. Jean Souza dos Reis & Nícolas de Assis Bose & Ana Cleide Bezerra Amorim & Vanessa Dantas Almeida & Luciano Andre Cruz Bezerra & Leonardo de Lima Oliveira & Samira de Azevedo Emiliavaca & Maria de Fáti, 2023. "Wind and Solar Energy Generation Potential Features in the Extreme Northern Amazon Using Reanalysis Data," Energies, MDPI, vol. 16(22), pages 1-27, November.
  26. Zong, Haoxiang & Lyu, Jing & Wang, Xiao & Zhang, Chen & Zhang, Ruifang & Cai, Xu, 2021. "Grey box aggregation modeling of wind farm for wideband oscillations analysis," Applied Energy, Elsevier, vol. 283(C).
  27. Zhuo, Chen & Junhong, Guo & Wei, Li & Fei, Zhang & Chan, Xiao & Zhangrong, Pan, 2022. "Changes in wind energy potential over China using a regional climate model ensemble," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
  28. Wei Han & Ying Zhang & Jianming Cai & Enpu Ma, 2019. "Does Urban Industrial Agglomeration Lead to the Improvement of Land Use Efficiency in China? An Empirical Study from a Spatial Perspective," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
  29. Giani, Paolo & Tagle, Felipe & Genton, Marc G. & Castruccio, Stefano & Crippa, Paola, 2020. "Closing the gap between wind energy targets and implementation for emerging countries," Applied Energy, Elsevier, vol. 269(C).
  30. Yang, Yong & Chen, Rensheng & Han, Chuntan & Liu, Zhangwen, 2021. "Evaluation of 18 models for calculating potential evapotranspiration in different climatic zones of China," Agricultural Water Management, Elsevier, vol. 244(C).
  31. Wenhui Zhao & Ruican Zou & Guanghui Yuan & Hui Wang & Zhongfu Tan, 2019. "Long-Term Cointegration Relationship between China’s Wind Power Development and Carbon Emissions," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
  32. He, J.Y. & Chan, P.W. & Li, Q.S. & Lee, C.W., 2022. "Characterizing coastal wind energy resources based on sodar and microwave radiometer observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
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