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Exploring emerging battery technology for grid-connected energy storage with Constructive Technology Assessment

Author

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  • Versteeg, T.
  • Baumann, M.J.
  • Weil, M.
  • Moniz, A.B.

Abstract

The last decades have shown an increasing amount of research into expectations of science and technology. Especially for emerging technologies, expectations held by different stakeholder are guiding the direction of research and development. In this article the results of an investigation into the expectations of specific actors regarding the development of emerging battery technology for applications in the power grid are presented. It is set up as an explorative study within the framework of Constructive Technology Assessment (CTA). A number of studies since the 1990s have indicated a growing need for energy storage options in the power grid, where batteries appear to be capable of providing a range of valuable services to the grid. Cost-effectiveness on a large scale will however require considerable technical improvements. The configuration of energy storage may differ in the specific location and exploitation of the storage assets, as well as in the investments in new storage capacity. In this study the visions and expectations of several relevant actors are analysed using interviews and surveys in terms of expectations of technological development, expectations concerning stakeholder roles, and channels of interaction between the relevant actors. The results indicate a divide in expectations between the user side of the technology (the electric power industry) and the development side (academic researchers). Opinions differ with respect to the obstacles to technological development, the actors relevant in early technological development, and the most suitable channels for interaction between these actors. It follows from the theoretical background that conflicts in expectations provide the opportunity for the acceleration of technological development and adoption through stakeholder participation. Small interactive workshops, where conflicts identified in this paper are discussed, were identified as a suitable channel in order to reach consensus in visions and expectations for battery technology.

Suggested Citation

  • Versteeg, T. & Baumann, M.J. & Weil, M. & Moniz, A.B., 2017. "Exploring emerging battery technology for grid-connected energy storage with Constructive Technology Assessment," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 99-110.
  • Handle: RePEc:eee:tefoso:v:115:y:2017:i:c:p:99-110
    DOI: 10.1016/j.techfore.2016.09.024
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    References listed on IDEAS

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    1. Foxon, T. J. & Gross, R. & Chase, A. & Howes, J. & Arnall, A. & Anderson, D., 2005. "UK innovation systems for new and renewable energy technologies: drivers, barriers and systems failures," Energy Policy, Elsevier, vol. 33(16), pages 2123-2137, November.
    2. Gohar Feroz Khan & Sungjoon Lee & Ji Young Park & Han Woo Park, 2016. "Theories in communication science: a structural analysis using webometrics and social network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 531-557, August.
    3. Thielmann, Axel & Isenmann, Ralf & Wietschel, Martin, 2010. "Technologie-Roadmap Lithium-Ionen-Batterien 2030," Technology Roadmapping at Fraunhofer ISI: Concepts – Methods – Project examples 1, Fraunhofer Institute for Systems and Innovation Research (ISI).
    4. Ibrahim, H. & Ilinca, A. & Perron, J., 2008. "Energy storage systems--Characteristics and comparisons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1221-1250, June.
    5. Winskel, Mark & Markusson, Nils & Jeffrey, Henry & Candelise, Chiara & Dutton, Geoff & Howarth, Paul & Jablonski, Sophie & Kalyvas, Christos & Ward, David, 2014. "Learning pathways for energy supply technologies: Bridging between innovation studies and learning rates," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 96-114.
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    10. Laxmi Gupta & Ravi Shankar, 2022. "Adoption of Battery Management System in Utility Grid: An Empirical Study Using Structural Equation Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 573-596, December.
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