Share this page on:


Back to the programme printer.gif Print

Thursday, 29 September 2016
14:30 - 16:00 Yes in my back yard! Maximising social acceptance
Environmental impacts & social acceptance  

Room: C 2.2

The session will present various measures to support and maximise social acceptance. It will have four presentations: exploring engagement measures with local communities; research into effective involvement; real-life experience of successful approaches to social acceptance; and specific examples and case studies.

Finally, the session will conclude with WISE Power project announcing the winner of the Best Community Project Award for outstanding commitment to local people in a European wind energy project, which the winner will then present.  

You attended this session?

Please give us feedback


Learning objectives

  • List and explain the most appropriate measures to maximise social acceptance;
  • Identify concerns and issues from local residents;
  • Explain the importance of social acceptances strategies and community engagement.
This session will be chaired by:
Jennifer Ramsay, Project Manager, Local Energy Scotland, United Kingdom


Uta Schneider Fraunhofer Institute for Systems and Innovation Research - ISI, Germany
Uta Schneider (1) F Elisabeth Dütschke (1) Julius P. Wesche (1)
(1) Fraunhofer Institute for Systems and Innovation Research ISI , Karlsruhe, Germany

Presenter's biography

Biographies are supplied directly by presenters at WindEurope Summit 2016 and are published here unedited

Uta Schneider studied Social Sciences with Psychology at the universities of Mannheim, Giessen and Brussels, specializing in Micro-sociology, Consulting and Advisory Services. From January to December 2011 research associate in the Competence Center Energy Policy and Energy Systems at the Fraunhofer Institute for Systems and Innovation Research ISI, since January 2012 in the Competence Center Energy Technology and Energy Systems.
Work focus: Acceptance of new mobility technologies and infrastructure, qualitative and quantitative methods


View abstract