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Webinar: Public acceptance of U.S. wind energy: Historical lessons and results from the first nationally representative survey of wind farm neighbors

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Thursday, 26 October 2017, 12:00

Thursday, October 26, 2017. 12:00PM. Webinar: Public acceptance of U.S. wind energy: Historical lessons and results from the first nationally representative survey of wind farm neighbors. Joe Rand and Ben Hoen, Lawrence Berkeley National Laboratory. Sponsored by Center for Satellite Application and Research. More information here.


Joe Rand and Ben Hoen will present on their work as part of a three-year Dept of Energy funded effort to characterize the baseline of attitudes and annoyances near US wind installations.  Joe recently published a literature review that was the first step in the project, entitled, ‚ÄúThirty Years of North American Wind Energy Acceptance Research: What Have We Learned?" That review encompassed over 100 papers primarily focused on existing and proposed North American wind projects through 2016. He will summarize some of the key takeaways from that review, such as community perceptions of economic aspects, sound and visual/landscape aspects, environmental concerns, and development process fairness. In 2016, following the literature review, survey data were collected from over 1,700 individuals living within 5 miles of 234 US wind projects. Ben Hoen, the PI for the project, will overview results from the analysis of those data, such as: overall attitudes and their drivers; what influences the perception that the planning process was fair; and, how well does modelled sound predict audibility and annoyance to turbines.  This first-of-its-kind research provides the first nationally applicable baseline of attitudes, annoyances, and other opinions toward existing wind projects.  These results can help enlighten existing and potential wind project hosting communities, as well as wind project developers, on various impacts of wind development, the drivers of attitudes and annoyance, and how to promote responsible wind deployment.   

 

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