Skip to main content
SpringerLink
Log in
Book cover

Strategies of Sustainable Development in China’s Wind Power Industry pp 223–392Cite as

Innovation Fields for Sustainable Development of Wind Power

  • Chapter
  • First Online:

Abstract

This chapter intends to elucidate technical routes for sustainable development of wind power industry. However, the most prominent bottleneck for the target evidently comes from intermittent and stochastic source, which very likely causes extensive wind power curtailment. To cope with this challenging issue, the innovation technologies proposed in this chapter are generally divided into two categories: One is IT-based measures like integration operation (Sect. 6.1), intelligent wind farm (Sect. 6.2), and distributed and microgrid system (Sect. 6.3) to realize efficient and stable operation of wind power. Of course, diversified utilization such as heat supply, hydrogen production, and desalinization can also be regarded as one form of distributed utilization of wind power (Sect. 6.9). Another is associated with advanced design and manufacture technologies including design reliability (Sect. 6.4), turbine blade design and manufacture (Sect. 6.5), drive train system (Sect. 6.6), offshore wind power system (Sect. 6.7), and green manufacture (Sect. 6.8) so as to safe and clean utilization of wind power. All of these technical measures enable us to believe that it is possible to realize the utilization of wind power on a large scale to supply mankind with abundant green energy resources.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    α→①, β→②, γ→③, δ→④, ε→⑤

  2. 2.

    α→①, β→②, γ→③, δ→④

  3. 3.

    α→①, β→②, γ→③, δ→④

  4. 4.

    α→①, β→②, γ→③, δ→④, ε→⑤

References

  • Bai, Jingyan, Ke Yang, Hongli Li, et al. 2010. Design of the Horizontal Axis Wind Turbine Airfoil Family. Jounal of Engineering Thermophysics 31 (4): 589–592.

    Google Scholar 

  • Blischke, W.R., and D.N. Prabhakar Murthy. 2000. Reliability Modeling, Prediction, and Optimization. New York, USA: Wiley.

    Google Scholar 

  • Castro Sayas, F., and R.N. Allan. 1996. Generation Availability Assessment of Wind Farms. IET Proceedings Generation Transmission and Distribution 143(5): 507–518.

    Article  Google Scholar 

  • Chen, L., J.F. Zhou, X. Wang, and Z. Wang. 2018. Nonlinear Wave Loads on High-Rise Pile Cap Structures in the Donghai Bridge Wind Farm. International Journal of Offshore and Polar Engineering 28 (3): 263–271.

    Article  Google Scholar 

  • Chen, L., J.F. Zhou, and X. Wang. 2016. Scale effect on wave force characteristics of the structures supporting offshore wind turbines (in Chinese). Scientia Sinica-Physics Mechanica Astronomica 46: 124709. https://doi.org/10.1360/SSPMA2016-00275.

    Article  Google Scholar 

  • Walford, C.A. 2006. Wind Turbine Reliability: Understanding and Minimizing Wind Turbine Operation and Maintenance Costs, vol. 7. New Mexico: Sandia National Laboratories.

    Google Scholar 

  • DNV (Det Norske Veritas). 2013. Design of Offshore Wind Turbine Structure. Offshore Standard DNV-OS-J101.

    Google Scholar 

  • Feng, Shuanglei, Weisheng, Wang, and Chun, Liu, etc. 2010. Study on the Physical Approach to Wing Power Prediction. Proceedings of the CSEE 30(2): 1–6.

    Google Scholar 

  • Bywaters, G., V. John, and J. Lynch. 2005. Northern Power Systems Wind PACT Drive Train Alternative Design Study Report. NREL Research Report.

    Google Scholar 

  • Georg, Böhmeke. 2001. Development of the 3 Mw Multibrid® Wind Turbine 41. Annual report Pfleiderer ag.

    Google Scholar 

  • Gunter, R.F., et al. 2014. Multi-Objective Optimisation of Horizontal Axis Wind Turbine Structure and Energy Production using Aerofoil and Blade Properties as Design Variables. Renewable Energy 62: 506515.

    Google Scholar 

  • Guo, Li, Chengshan, Wang, Qiguo, Yang, etc. 2015. An Independent Micro-grid System for Seawater Desalination of Wind Energy and Diesel Reserve in Dafeng, Jiangsu. Distribution & Utilization 01.

    Google Scholar 

  • Guo, D. 2012. Research on Condition Monitoring and Fault Intelligent Diagnosis System of Wind Turbines (Doctoral dissertation, Shanxi University).

    Google Scholar 

  • Hesheng, H.U.S. 2016. Distributed Application is an Important Direction for Wind Energy Development. Bulletin of Chinese Academy of Sciences 31 (2): 173–181.

    Google Scholar 

  • Hodge, M.B., and M. Milligan. 2011. Wind Power Forecasting Error Distributions Over Multiple Timescales. In Power & Energy Society General Meeting, 1–11. Detroit, Michigan, United States: USDOE.

    Google Scholar 

  • Huang, Chenwu, Ke, Yang, Qiang, Liu, et al. 2013. Roughness Sensitivity Analysis and Optimization of CAS Airfoils Used at Outboard Section of Wind Turbine Blade. Acta Energiae Solaris Sinica 34(4): 562–567.

    Google Scholar 

  • IEC61400-3. 2005. Design Requirements for Offshore Wind Turbines.

    Google Scholar 

  • Institutional Finance. 2015. Ministry of Industry and Information Technology Will Implement Intelligent Manufacturing and Other Special Actions in 2015. China Machinery & Electric Industry 1: 15.

    Google Scholar 

  • Jia, Hongxin, Zhang, Yu, Yufei, Wang, et al. Application of Energy Storage Technology in Wind Power Generation Systems.

    Google Scholar 

  • Jia, Yulu, Ping, Liu, and Wenhua, Zhang. 2014. Research Progress of Electrochemical Energy Storage Technology. Chinese Journal of Power Sources 38.

    Google Scholar 

  • Liu, Chun, Yang, Cao, Yuehui, Huang, etc. 2014. An Annual Wind Power Planning Method Based on Time Sequential Simulation. Automation of Electric Power System 11: 13–19.

    Google Scholar 

  • Lyu, G.Q., H.Q. Zhang, and J.C. Li. 2016. Characteristics and Forecast of Short-Term Wind Speed Series in the Donghai Bridge Wind Farm (in Chinese). Scientia Sinica-Physica Mechanica Astronomica 46: 124713. https://doi.org/10.1360/SSPMA2016-00407.

    Article  Google Scholar 

  • Latha, Sethuraman, Michael, Maness, and Katherine, Dykes. 2017. Optimized Generator Designs for the DTU 10-MW Offshore Wind Turbine using Generator SE. NREL Technical Report.

    Google Scholar 

  • Li, J., L. Tian, and X. Lai. 2015. The Outlook of Electrical Energy Storage Technologies Under Energy Internet Background. Automation of Electric Power Systems 23: 15–27.

    Google Scholar 

  • Mao, D., C. Zhu, and G. Liu. 2016. New Wind Farm Operation and Maintenance Mode—Intelligent Cloud Maintenance Platform. Electric Engineering 10: 105–106.

    Google Scholar 

  • Marcelo, G.M., and E.M. Pedro. 2011. Modelling and Control Design of Pitch-Controlled Variable Speed Wind Turbines. In: Wind Turbines, ed. Ibrahim, A., 373–402. INTECH, Rijieka, Croatia.

    Google Scholar 

  • National Energy Administration. 2016. 2016 Wind Power Grid-Connected Operation of China. http://www.nea.gov.cn/2017-01/26/c_136014615.htm.

  • Navigant Research. 2013. More Than 400 Microgrid Projects are underdevelopment Worldwide.https://www.navigantresearcch.com/newsroom/More-Than-400-Microgrid-Projects-Are-under-Development-Worldwide[2013-4-2].

  • Johnson, P.L., and G.R. Bames, M. Rockhamwala, et al. 2013. Compact Gear Drive System, CN 101865084 B.

    Google Scholar 

  • Peter, Jamieson (Garrad Hassan UK). 2011. Innovation in Wind Turbine Design. New York: Wiley.

    Google Scholar 

  • Qiao, Zhide, Wenping, Song, and Gao, Yongwei. 2012. Design and Experimental of NPU-WA Airfoil Family for Wind Turbines. Acta Aerodynamica Sinica 30(2): 260–265.

    Google Scholar 

  • Faried, S.O., I. Unal, D. Rai, and J. Mahseredjian. 2013. Utilizing DFIG-Based Wind Farms for Damping Subsynchronous Resonance in Nearby Turbine Generators. IEEE Transactions on Power Systems 28 (1): 452–459.

    Article  Google Scholar 

  • Siegfriedson, S. 2013. Drive/Generator Connector. CN 103210214 A.

    Google Scholar 

  • Siegfriedsen, Soenke. 1997. Gearbox-Generator Combination for Wind Turbine. EP0811764.

    Google Scholar 

  • Su, Xiao. 2014. Brief Analysis on German Wind Power Development Condition and Renewable Energy Reform in 2013. Wind Energy 7: 40–46.

    Google Scholar 

  • The State Council. 2015. Made in China 2025.

    Google Scholar 

  • U.S. Department of Energy. 2010. Wind Vision: A New Era for Wind Power in the United States.

    Google Scholar 

  • Wang, Chengshan, and Peng, Li. 2010. Development and challenges of distributed generation of the microgrid and smart distribution system. Automation of Electric Power Systems 34(2): 10–14.

    Google Scholar 

  • Wang, Chengshan, Zhen, Wu, and Peng, Li. 2014. Prospects and Challenges of Distributed Electricity Storage Technology. Automation of Electric Power Systems 38 (16): 1–8.

    Google Scholar 

  • Wang, Chengshan, Zhen, Wu, and Peng, Li. 2014. Research on Key Technologies of Microgrid. Transactions of China Electrotechnical Society.

    Google Scholar 

  • Wang, Chengshan, Honghua, Xu, et al. 2016. Microgrid Technology and Application, vol. 2. Beijing: Science Press.

    Google Scholar 

  • Wang, Fang, and Tongguang, Wang. 2009. Wind Turbine Aerodynamic Performance Prediction Based on the Vortex Wake Method. Acta Energiae Solaris Sinica 30 (9): 1286–1291.

    Google Scholar 

  • Wang, Q., Z.X. Wang, J.J. Song, et al. 2012. Study on a New Aerodynamic Model of HAWT Based on Panel Method and Reduced Order Model using Proper Orthogonal Decomposition. Renewable Energy 48 (436): 447.

    Google Scholar 

  • Wang, Weisheng, Yongning, Chi, etc. 2014. China Electric Power Encyclopedia (The Third Version)-Renewable Energy-Renewable Energy Generation Integration into Power Grid Branch. China Electric Power Press.

    Google Scholar 

  • Wang, Zhongying, Guili, Shi, and Yongqiang, Zhao. 2011. The Road Map of China’s Wind Power Development 2050. Beijing: Energy Research Institute, NDRC.

    Google Scholar 

  • Wang, S., L. Feng, P. Zhang, & L. Wu. 2014. The Hybrid of Multiple Energy Promotes New Energy Development. Northwest Water Power, 78–82.

    Google Scholar 

  • Wang, Z. 2016. Design and Implementation of Intelligent Wind Farm Performance Analysis System (Doctoral dissertation, Southeast University).

    Google Scholar 

  • Wu, Jialiang, Guangliang Wang, Zhenshan Wei, et al. 2010. Wind Turbine Reliability Engineering, 227. Beijing: Chemical Industry Press.

    Google Scholar 

  • Yang, Jianli. 2015. An Analysis of the Way of Heating with Wind Power. Wind Energy 06.

    Google Scholar 

  • Yang, Xinfa, Jian Su, Zhipeng Lv, et al. 2014. Research on Microgrid Technology 34 (1): 57–69.

    Google Scholar 

  • Zhan, Jianjun. 2014. Application of Green Manufacturing Technology in Mechanical Manufacturing. Equipment Manufacturing Technology 7: 229–231.

    Google Scholar 

  • Zhang, Liang, and Xiaomeng Han. 2013. Discussion on the Importance of Intelligent Electrical Equipment for Intelligent Power Grid. Urban Construction Theory Research: Electronic Version 16: 169.

    Google Scholar 

  • Zhang, Liying, Yanlu, Ye, Yaozhong, Xin, etc. 2010. Problems and Measures of Power Grid Accommodating Large Scale Wind Power. Proceedings of the CSEE 30 (25): 1–9.

    Google Scholar 

  • Zhang, T., F. Zhang, & Y. Zhang. 2016. Study on Energy Management System of Energy Internet. Power System Technology 40 (1), 146–155.

    Google Scholar 

  • Zhou, Zhichao, Chengshan, Wang, Bingqi, Jiao, et al. 2015. Optimization Control of Independent Micro-grid System of Wind Energy. Diesel Reserve Biomass. Proceedings of the CSEE 35.

    Google Scholar 

  • Zhou, H. 2015b. The Internet + That I understand—Internet + is a fusion. Modern Communication (Journal of Communication University of China) 37 (8): 114–121.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Mechanics, Chinese Academy of Sciences, Beijing, China

    J. C. Li

  2. China Aerodynamics Research and Development Center, Mianyang, China

    D. X. He

Authors
  1. J. C. Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. X. He
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to J. C. Li .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Science Press and Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Li, J.C., He, D.X. (2020). Innovation Fields for Sustainable Development of Wind Power. In: Strategies of Sustainable Development in China’s Wind Power Industry. Springer, Singapore. https://doi.org/10.1007/978-981-13-9516-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9516-1_6

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9515-4

  • Online ISBN: 978-981-13-9516-1

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation