IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v210y2023icp618-626.html
   My bibliography  Save this article

Preparation of biochar-based photothermal superhydrophobic coating based on corn straw biogas residue and blade anti-icing performance by wind tunnel test

Author

Listed:
  • Liu, Zhiyuan
  • Li, Yan
  • Sun, Yong
  • Feng, Fang
  • Tagawa, Kotaro

Abstract

The utilization of biological resources is conducive to alleviating energy shortages and environmental pollution, and the application of biochar to anti-icing can promote green low-carbon cycle development. In this study, the ice-phobic coating with a photothermal effect was prepared from biogas residue after anaerobic digestion. The modification and Fe3O4 loading promoted the formation of the rough structure of the material and reduced the hydrophilic groups, thus increasing the contact angle of the prepared photothermal coating to 154.49°. The rough structure of the biochar-based photothermal superhydrophobic coating effectively decreased the contact area between the coating and the ice, significantly reducing the icing adhesion strength to 71.96 kPa. The Fe3O4-loaded biochar material had an extremely high light absorption capacity, which rapidly increased the surface temperature of the coating to 48.2 °C. This was attributed to the photothermal properties of the Fe3O4 particles, which enhanced the photothermal conversion performance of the photothermal coating. Icing wind tunnel experiments showed that the maximum reduction in icing mass and icing area of coated blades were 39.13% and 13.48%, respectively, compared to uncoated blades, indicating that the coating had a good anti-icing effect. The biochar-based ice-phobic coating had fine acid and alkali resistance and durability. This study provided a method for anti-icing civil and industrial material surfaces.

Suggested Citation

  • Liu, Zhiyuan & Li, Yan & Sun, Yong & Feng, Fang & Tagawa, Kotaro, 2023. "Preparation of biochar-based photothermal superhydrophobic coating based on corn straw biogas residue and blade anti-icing performance by wind tunnel test," Renewable Energy, Elsevier, vol. 210(C), pages 618-626.
  • Handle: RePEc:eee:renene:v:210:y:2023:i:c:p:618-626
    DOI: 10.1016/j.renene.2023.04.098
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123005621
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2023.04.098?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zeng, Jing & Song, Bingliang, 2017. "Research on experiment and numerical simulation of ultrasonic de-icing for wind turbine blades," Renewable Energy, Elsevier, vol. 113(C), pages 706-712.
    2. Guo, Peng & Infield, David, 2021. "Wind turbine blade icing detection with multi-model collaborative monitoring method," Renewable Energy, Elsevier, vol. 179(C), pages 1098-1105.
    3. Liu, Hongbo & Wang, Xingkang & Fang, Yueying & Lai, Wenjia & Xu, Suyun & Lichtfouse, Eric, 2022. "Enhancing thermophilic anaerobic co-digestion of sewage sludge and food waste with biogas residue biochar," Renewable Energy, Elsevier, vol. 188(C), pages 465-475.
    4. Sun, Lingyun & Yin, Jiemin & Bilal, Ahmad Raza, 2023. "Green financing and wind power energy generation: Empirical insights from China," Renewable Energy, Elsevier, vol. 206(C), pages 820-827.
    5. Rabbani, Rabab & Zeeshan, Muhammad, 2022. "Impact of policy changes on financial viability of wind power plants in Pakistan," Renewable Energy, Elsevier, vol. 193(C), pages 789-806.
    6. Li, Xia & Huang, Yongmei & Gong, Jirui & Zhang, Xinshi, 2010. "A study of the development of bio-energy resources and the status of eco-society in China," Energy, Elsevier, vol. 35(11), pages 4451-4456.
    7. Liu, Shu-Hui & You, Shang-Sian & Lin, Chi-Wen & Cheng, Yu-Shen, 2022. "Optimizing biochar and conductive carbon black composites as cathode catalysts for microbial fuel cells to improve isopropanol removal and power generation," Renewable Energy, Elsevier, vol. 199(C), pages 1318-1328.
    8. Tong, Guoqiang & Li, Yan & Tagawa, Kotaro & Feng, Fang, 2023. "Effects of blade airfoil chord length and rotor diameter on aerodynamic performance of straight-bladed vertical axis wind turbines by numerical simulation," Energy, Elsevier, vol. 265(C).
    9. 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).
    10. Li, Hui & Wu, Zixuan & Yuan, Xing & Yang, Yixuan & He, Xiaoqiang & Duan, Huiming, 2022. "The research on modeling and application of dynamic grey forecasting model based on energy price-energy consumption-economic growth," Energy, Elsevier, vol. 257(C).
    11. Escalante, Jamin & Chen, Wei-Hsin & Tabatabaei, Meisam & Hoang, Anh Tuan & Kwon, Eilhann E. & Andrew Lin, Kun-Yi & Saravanakumar, Ayyadurai, 2022. "Pyrolysis of lignocellulosic, algal, plastic, and other biomass wastes for biofuel production and circular bioeconomy: A review of thermogravimetric analysis (TGA) approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mu, Zhongqiu & Guo, Wenfeng & Li, Yan & Tagawa, Kotaro, 2023. "Wind tunnel test of ice accretion on blade airfoil for wind turbine under offshore atmospheric condition," Renewable Energy, Elsevier, vol. 209(C), pages 42-52.
    2. 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).
    3. Xu, Yang-Jie & Li, Guo-Xiu & Sun, Zuo-Yu, 2016. "Development of biodiesel industry in China: Upon the terms of production and consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 318-330.
    4. Sun, Shilin & Wang, Tianyang & Chu, Fulei, 2022. "In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    5. Pérez, S. & Renedo, C.J. & Ortiz, A. & Delgado, F. & Fernández, I., 2014. "Energy potential of native shrub species in northern Spain," Renewable Energy, Elsevier, vol. 62(C), pages 79-83.
    6. Zhiwei Liao & Bowen Wang & Wenjuan Tao & Ye Liu & Qiyun Hu, 2024. "Research on Decision Optimization and the Risk Measurement of the Power Generation Side Based on Quantile Data-Driven IGDT," Energies, MDPI, vol. 17(7), pages 1-21, March.
    7. Adaiton Oliveira-Filho & Ryad Zemouri & Philippe Cambron & Antoine Tahan, 2023. "Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model," Energies, MDPI, vol. 16(12), pages 1-21, June.
    8. Chunhong Liu & Shisong Jiang & Hanfei Zhang & Ziyi Lu & Umberto Desideri, 2024. "China and Italy’s Energy Development Trajectories: Current Landscapes and Future Cooperation Potential," Energies, MDPI, vol. 17(4), pages 1-18, February.
    9. Yan Li & He Shen & Wenfeng Guo, 2021. "Simulation and Experimental Study on the Ultrasonic Micro-Vibration De-Icing Method for Wind Turbine Blades," Energies, MDPI, vol. 14(24), pages 1-15, December.
    10. Guanying Chen & Zhenming Ji, 2024. "A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    11. Chang Cai & Jicai Guo & Xiaowen Song & Yanfeng Zhang & Jianxin Wu & Shufeng Tang & Yan Jia & Zhitai Xing & Qing’an Li, 2023. "Review of Data-Driven Approaches for Wind Turbine Blade Icing Detection," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    12. Usama Aziz & Sylvie Charbonnier & Christophe Berenguer & Alexis Lebranchu & Frederic Prevost, 2022. "A Multi-Turbine Approach for Improving Performance of Wind Turbine Power-Based Fault Detection Methods," Energies, MDPI, vol. 15(8), pages 1-21, April.
    13. Jiménez, Alfredo Arcos & García Márquez, Fausto Pedro & Moraleda, Victoria Borja & Gómez Muñoz, Carlos Quiterio, 2019. "Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis," Renewable Energy, Elsevier, vol. 132(C), pages 1034-1048.
    14. Yao, Zeng-Yu & Qi, Jian-Hua & Yin, Li-Ming, 2013. "Biodiesel production from Xanthoceras sorbifolia in China: Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 57-65.
    15. Yan Li & Ce Sun & Yu Jiang & Fang Feng, 2019. "Scaling Method of the Rotating Blade of a Wind Turbine for a Rime Ice Wind Tunnel Test," Energies, MDPI, vol. 12(4), pages 1-15, February.
    16. Liu, Yang & Zhao, Xiaomeng & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing the role of green finance in sustainable energy investments by power utilities: Evidence from China," Utilities Policy, Elsevier, vol. 84(C).
    17. Ma, Liqun & Zhang, Zichen & Gao, Linyue & Liu, Yang & Hu, Hui, 2020. "An exploratory study on using Slippery-Liquid-Infused-Porous-Surface (SLIPS) for wind turbine icing mitigation," Renewable Energy, Elsevier, vol. 162(C), pages 2344-2360.
    18. Tien Ngo & Leadin S. Khudur & Ibrahim Gbolahan Hakeem & Kalpit Shah & Aravind Surapaneni & Andrew S. Ball, 2022. "Wood Biochar Enhances the Valorisation of the Anaerobic Digestion of Chicken Manure," Clean Technol., MDPI, vol. 4(2), pages 1-20, May.
    19. Jamshid Ali Turi & Joanna Rosak-Szyrocka & Maryam Mansoor & Hira Asif & Ahad Nazir & Daniel Balsalobre-Lorente, 2022. "Assessing Wind Energy Projects Potential in Pakistan: Challenges and Way Forward," Energies, MDPI, vol. 15(23), pages 1-21, November.
    20. Hongmei Cui & Zhongyang Li & Bingchuan Sun & Teng Fan & Yonghao Li & Lida Luo & Yong Zhang & Jian Wang, 2022. "A New Ice Quality Prediction Method of Wind Turbine Impeller Based on the Deep Neural Network," Energies, MDPI, vol. 15(22), pages 1-18, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:210:y:2023:i:c:p:618-626. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.