Back to OurEnergyLibrary search

Forecasting Wind Energy Costs & Cost Drivers

Forecasting Wind Energy Costs & Cost Drivers

Full Title: Forecasting Wind Energy Costs & Cost Drivers
Author(s): Ryan Wiser, Karen Jenni, Joachim Seel, Erin Baker, Maureen Hand, Eric Lantz, Aaron Smith
Publisher(s): Lawrence Berkeley National Laboratory
Publication Date: June 1, 2016
Full Text: Download Resource
Description (excerpt):

This report summarizes the results of an expert elicitation survey of 163 of the world’s foremost wind energy experts, aimed at better understanding future wind energy costs and potential technology advancement. We specifically sought to gain insight on the possible magnitude of future cost reductions, the sources of those reductions, and the enabling conditions needed to realize continued innovation and lower costs. In implementing what may be the largest single elicitation ever performed on an energy technology in terms of expert participation, we sought to complement other tools for evaluating cost-reduction potential, including learning curves, engineering assessments, and other means of synthesizing expert knowledge. Wind applications covered by the survey include onshore, fixed-bottom offshore, and floating offshore wind. Ultimately, the study is intended to inform policy and planning decisions, research and development decisions, and industry investment and strategy development while also improving the representation of wind energy in energy-sector planning models.

All statements and/or propositions in discussion prompts are meant exclusively to stimulate discussion and do not represent the views of, its Partners, Topic Directors or Experts, nor of any individual or organization. Comments by and opinions of Expert participants are their own.

Sign up for our Press Release Distribution List

    Your Name (required)

    Your Email (required)

    Please sign me up to receive press releases from