Register now for a free webinar on Tuesday September 27, from 8:00am to 9:00am Pacific Time (11-12 Eastern Time,5-6 pm Central European Time).
The webinar will highlight findings from a recent Nature Energy article that seeks to understand wind energy technology advancement and cost reduction potential.
Wind energy supply has grown rapidly over the last decade. However, the long-term contribution of wind to future energy supply depends-in part-on the future cost of wind energy. This webinar will summarize the results of an expert elicitation survey of 163 of the world's foremost wind experts, aimed at better understanding future costs and technology advancement possibilities. This is the largest expert elicitation survey ever conducted on an energy technology. Three wind applications are covered: onshore (land-based) wind, fixed-bottom offshore wind, and floating offshore wind.
Results suggest significant opportunities for cost reductions, but also underlying uncertainties. Under the median scenario, experts anticipate 24-30% reductions by 2030 and 35-41% reductions by 2050 across the three wind applications studied. Costs could be even lower: experts predict a 10% chance that reductions will be more than 40% by 2030 and more than 50% by 2050. Survey results further provide insight on how these cost reductions might be achieved (see the "infographic" below). Overall, insights gained through expert elicitation complement other tools for evaluating cost-reduction potential, and can help inform policy and planning, R amp;D and industry strategy.
Although the webinar is free, registration is required.
The Nature Energy article can be found here. A full report on the survey findings is also available, as are presentation-style slide decks summarizing the results; those can be found here.
The study was led by Berkeley Lab, and included contributions from staff at the National Renewable Energy Laboratory, the University of Massachusetts, and participants in the International Energy Agency (IEA) Wind Technology Collaboration Programme Task 26.
To register for the free webinar, please visit:
https://cc.readytalk.com/r/6j3tvwsn8lto amp;eom
Best regards,
Ryan Wiser and Joachim Seel
Lawrence Berkeley National Laboratory
