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

Bibliographic Data

ID15545266
AuthorsJiayu Xu (0009-0009-9050-5435, Southern University of Science and Technology), Junyu Zou (0000-0002-9365-1835, Southern University of Science and Technology), Alan D Ziegler (0000-0001-5305-2136, Maejo University), Jie Wu (0000-0002-1389-6964, Southern University of Science and Technology), Zhenzhong Zeng (0000-0001-6851-2756, Southern University of Science and Technology, corresponding author)
Year2023
Volume18
Issue6
Pages064009-064009
Publication date2023-04-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/acce4f
OpenAlexW4366447406
LanguageEN
Citations received1
References cited32

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 ∼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 ∼5% per year, while technological improvements increased it by ∼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

Meteorology · Physics · Turbine · Electric Power System Optimization · Engineering · Environmental Science · Integrated Energy Systems Optimization · Wind Energy Research and Development · Aerospace Engineering

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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