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Strategic Evaluation of Research and Development into Embedded Energy Storage in Wind Power Generation

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Book cover Life System Modeling and Intelligent Computing (ICSEE 2010, LSMS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6328))

Abstract

Embedded Energy Storage (EES) is an innovative idea presented in a previous paper. EES is associated with some major configurations of wind power generation and rechargeable batteries. Areas for further research are identified, but before resources are committed it is necessary to assess the likely benefits of ESS. In this paper, the technical and economic potential of the EES are evaluated from the viewpoint of (1) historical and future development of electrical power systems, and (2) globalisation of CO2 emission reduction and global wind energy utilisation. The evaluation uses four case studies relevant to the United Kingdom and around the world. Based on this work, a practical and low-risk methodology for research and development into this new area is proposed.

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Author information

Authors and Affiliations

  1. School of Engineering and Design, University of Sussex, Brighton, BN1 9QT, UK

    T. C. Yang

  2. School of Mechanical Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, 200072, P.R. China

    Lixiong Li

Authors
  1. T. C. Yang
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  2. Lixiong Li
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Editor information

Editors and Affiliations

  1. Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    Kang Li

  2. School of Mechatronical Engineering and Automation, Shanghai University, P.O.Box 183, 200072, Shanghai, China

    Minrui Fei  & Li Jia  & 

  3. School of Electronics, Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    George W. Irwin

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© 2010 Springer-Verlag Berlin Heidelberg

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Yang, T.C., Li, L. (2010). Strategic Evaluation of Research and Development into Embedded Energy Storage in Wind Power Generation. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15621-2_39

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  • DOI: https://doi.org/10.1007/978-3-642-15621-2_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15620-5

  • Online ISBN: 978-3-642-15621-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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