Articles | Volume 23, issue 5
https://doi.org/10.5194/acp-23-3181-2023
https://doi.org/10.5194/acp-23-3181-2023
Research article
 | 
10 Mar 2023
Research article |  | 10 Mar 2023

Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment

Boming Liu, Xin Ma, Jianping Guo, Hui Li, Shikuan Jin, Yingying Ma, and Wei Gong

Related authors

Extending wind profile beyond the surface layer by combining physical and machine learning approaches
Boming Liu, Xin Ma, Jianping Guo, Hui Li, Shikuan Jin, Yingying Ma, and Wei Gong
EGUsphere, https://doi.org/10.5194/egusphere-2023-2727,https://doi.org/10.5194/egusphere-2023-2727, 2023
Short summary
A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia
Shikuan Jin, Yingying Ma, Zhongwei Huang, Jianping Huang, Wei Gong, Boming Liu, Weiyan Wang, Ruonan Fan, and Hui Li
Atmos. Chem. Phys., 23, 8187–8210, https://doi.org/10.5194/acp-23-8187-2023,https://doi.org/10.5194/acp-23-8187-2023, 2023
Short summary
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm
Shikuan Jin, Yingying Ma, Cheng Chen, Oleg Dubovik, Jin Hong, Boming Liu, and Wei Gong
Atmos. Meas. Tech., 15, 4323–4337, https://doi.org/10.5194/amt-15-4323-2022,https://doi.org/10.5194/amt-15-4323-2022, 2022
Short summary
Carbon dioxide cover: carbon dioxide column concentration seamlessly distributed globally during 2009–2020
Haowei Zhang, Boming Liu, Xin Ma, Ge Han, Qinglin Yang, Yichi Zhang, Tianqi Shi, Jianye Yuan, Wanqi Zhong, Yanran Peng, Jingjing Xu, and Wei Gong
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-215,https://doi.org/10.5194/essd-2022-215, 2022
Preprint withdrawn
Short summary
Intercomparison of wind observations from ESA’s satellite mission Aeolus, ERA5 reanalysis and radiosonde over China
Boming Liu, Jianping Guo, Wei Gong, Yong Zhang, Lijuan Shi, Yingying Ma, Jian Li, Xiaoran Guo, Ad Stoffelen, Gerrit de Leeuw, and Xiaofeng Xu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-26,https://doi.org/10.5194/amt-2022-26, 2022
Publication in AMT not foreseen
Short summary

Related subject area

Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean
Kaori Kawana, Fumikazu Taketani, Kazuhiko Matsumoto, Yutaka Tobo, Yoko Iwamoto, Takuma Miyakawa, Akinori Ito, and Yugo Kanaya
Atmos. Chem. Phys., 24, 1777–1799, https://doi.org/10.5194/acp-24-1777-2024,https://doi.org/10.5194/acp-24-1777-2024, 2024
Short summary
Evolution of nucleophilic high molecular-weight organic compounds in ambient aerosols: a case study
Chen He, Hanxiong Che, Zier Bao, Yiliang Liu, Qing Li, Miao Hu, Jiawei Zhou, Shumin Zhang, Xiaojiang Yao, Quan Shi, Chunmao Chen, Yan Han, Lingshuo Meng, Xin Long, Fumo Yang, and Yang Chen
Atmos. Chem. Phys., 24, 1627–1639, https://doi.org/10.5194/acp-24-1627-2024,https://doi.org/10.5194/acp-24-1627-2024, 2024
Short summary
Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions?
Karine Desboeufs, Paola Formenti, Raquel Torres-Sánchez, Kerstin Schepanski, Jean-Pierre Chaboureau, Hendrik Andersen, Jan Cermak, Stefanie Feuerstein, Benoit Laurent, Danitza Klopper, Andreas Namwoonde, Mathieu Cazaunau, Servanne Chevaillier, Anaïs Feron, Cécile Mirande-Bret, Sylvain Triquet, and Stuart J. Piketh
Atmos. Chem. Phys., 24, 1525–1541, https://doi.org/10.5194/acp-24-1525-2024,https://doi.org/10.5194/acp-24-1525-2024, 2024
Short summary
Real-world observations of reduced nitrogen and ultrafine particles in commercial cooking organic aerosol emissions
Sunhye Kim, Jo Machesky, Drew R. Gentner, and Albert A. Presto
Atmos. Chem. Phys., 24, 1281–1298, https://doi.org/10.5194/acp-24-1281-2024,https://doi.org/10.5194/acp-24-1281-2024, 2024
Short summary
Source apportionment of PM2.5 in Montréal, Canada, and health risk assessment for potentially toxic elements
Nansi Fakhri, Robin Stevens, Arnold Downey, Konstantina Oikonomou, Jean Sciare, Charbel Afif, and Patrick L. Hayes
Atmos. Chem. Phys., 24, 1193–1212, https://doi.org/10.5194/acp-24-1193-2024,https://doi.org/10.5194/acp-24-1193-2024, 2024
Short summary

Cited articles

Abbes, M. and Belhadj, J.: Wind resource estimation and wind park design in El-Kef region, Tunisia. Energy, 40, 348–357, https://doi.org/10.1016/j.energy.2012.01.061, 2012. 
Akpinar, E. K. and Akpinar, S.: An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics, Energy Convers. Manage., 46, 1848–1867, https://doi.org/10.1016/j.enconman.2004.08.012, 2005. 
Ali, S., Lee, S. M., and Jang, C. M.: Statistical analysis of wind characteristics using Weibull and Rayleigh distributions in Deokjeok-do Island–Incheon, South Korea, Renew. Energ., 123, 652–663, https://doi.org/10.1016/j.renene.2018.02.087, 2018. 
Allabakash, S., Lim, S., Yasodha, P., Kim, H., and Lee, G.: Intermittent clutter suppression method based on adaptive harmonic wavelet transform for L-band radar wind profiler, IEEE T. Geosci. Remote, 57, 8546–8556, 2019. 
Banuelos-Ruedas, F., Angeles-Camacho, C., and Rios-Marcuello, S.: Analysis and validation of the methodology used in the extrapolation of wind speed data at different heights, Renew. Sustain. Energy Rev., 14, 2383–2391, https://doi.org/10.1016/j.rser.2010.05.001, 2010. 
Download
Short summary
Wind energy is one of the most essential clean and renewable forms of energy in today’s world. However, the traditional power law method generally estimates the hub-height wind speed by assuming a constant exponent between surface and hub-height wind speeds. This inevitably leads to significant uncertainties in estimating the wind speed profile. To minimize the uncertainties, we here use a machine learning algorithm known as random forest to estimate the wind speed at hub height.
Altmetrics
Final-revised paper
Preprint