What drives the change of capacity factor of wind turbine in the United States?

The capacity factor (CF) is a vital parameter used to quantify the performance and efficiency of a wind turbine. An increase in generation efficiency leads to higher wind power production, improving the economics within the growing global wind market. In this research, we use a data-driven statistical method to explore the contributions of the three main drivers of CF change: turbine aging, changes in wind speed, and technological improvements. We find that for the group of old turbines (operated before 2008) with an unchanging technical condition, wind increases contributed similar to 10% to the increasing CF on average from 2010 to 2020. For new turbines (built from 2008 to 2020), technological improvements had a strong positive effect on CF from 2015 to 2020, exceeding the effect of wind increases and offsetting the effects of aging. On average, rising wind speeds increased CF by similar to 5% per year, while technological improvements increased it by similar to 12%. As the installed capacity of wind turbines grew, technological progress became the dominant driver in CF increase. However, poor site selection potentially compromised the positive effect on CF afforded by technology changes early in the decade.

Automated summary

The capacity factor (CF) is an important parameter for measuring the performance and efficiency of wind turbines. This research utilizes a data-driven statistical method to study the impact of turbine aging, changes in wind speed, and technological improvements on CF. The study finds that wind increases contributed to a 10% increase in CF for old turbines, while technological improvements had a stronger positive effect on CF for new turbines. Rising wind speeds increased CF by approximately 5% per year, while technological improvements increased it by approximately 12%. Technological progress became the dominant driver in CF increase as the installed capacity of wind turbines grew.