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Increases in China’s wind energy production from the recovery of wind speed since 2012

handle: 10261/303506
Abstract China has realized a 56-fold increase in installed wind capacity, from 5.9 GW in 2007 to 328 GW in 2021. In addition to increasing installed capacity, plans to substantially increase wind energy production for climate change mitigation also depend on future wind speeds, which strongly influences the efficiencies of installed turbines within individual wind farms. A reversal in globally decreasing wind speeds over several decades has been reported previously. However, subsequent studies using other data sources reported only a slight increase or no reversal in China. These uncertainties regarding China’s wind energy production hamper estimates of wind energy production potential. Here, our analysis of quality-controlled wind speed measurements from in-situ stations shows that the wind speed decline in China reversed significantly since 2012 (P < 0.001), but with substantial spatio-temporal variability. We further estimated the capacity factor (CF) growth and the wind power gain solely associated with the changes in wind speed ranges from 31.6 to 56.5 TWh yr−1 based on the 2019 installed capacity. This estimate explains 22.0%–39.3% of the rapid increase in wind generation CF in China during 2012–2019. The result implies that the site selection of wind farms should consider both current wind situation and future wind speed trends. Further studies are needed to understand the driving factor of wind speed recovery in support of the wind energy industry.
- University of Gothenburg Sweden
- Zhejiang Ocean University China (People's Republic of)
- Zhejiang Ocean University China (People's Republic of)
- Sorbonne Paris Cité France
- French National Centre for Scientific Research France
Wind turbine selection, Atmospheric sciences, 550, Economics, Macroeconomics, FOS: Mechanical engineering, Capacity factor, 551, wind speed recovery, Environmental technology. Sanitary engineering, Wind Power Generation, Wind speed, wind power gain, Engineering, GE1-350, Production (economics), TD1-1066, Geography, Physics, Q, Geology, Archaeology, [SDE]Environmental Sciences, Physical Sciences, Wind Energy Technology and Aerodynamics, Wind speed recovery, China, Wind power gain, Wind gradient, Electricity Price and Load Forecasting Methods, [SDE.MCG]Environmental Sciences/Global Changes, Science, QC1-999, Aerospace Engineering, Environmental science, Meteorology, FOS: Electrical engineering, electronic engineering, information engineering, Maximum sustained wind, Wind Power Integration, Electrical and Electronic Engineering, Offshore wind power, capacity factor, Wind profile power law, multiple scenarios, Integration of Renewable Energy Systems in Power Grids, wind turbine selection, FOS: Earth and related environmental sciences, Environmental sciences, [SDE.MCG] Environmental Sciences/Global Changes, Wind Farm Optimization, Electrical engineering, Wind power, Multiple scenarios
Wind turbine selection, Atmospheric sciences, 550, Economics, Macroeconomics, FOS: Mechanical engineering, Capacity factor, 551, wind speed recovery, Environmental technology. Sanitary engineering, Wind Power Generation, Wind speed, wind power gain, Engineering, GE1-350, Production (economics), TD1-1066, Geography, Physics, Q, Geology, Archaeology, [SDE]Environmental Sciences, Physical Sciences, Wind Energy Technology and Aerodynamics, Wind speed recovery, China, Wind power gain, Wind gradient, Electricity Price and Load Forecasting Methods, [SDE.MCG]Environmental Sciences/Global Changes, Science, QC1-999, Aerospace Engineering, Environmental science, Meteorology, FOS: Electrical engineering, electronic engineering, information engineering, Maximum sustained wind, Wind Power Integration, Electrical and Electronic Engineering, Offshore wind power, capacity factor, Wind profile power law, multiple scenarios, Integration of Renewable Energy Systems in Power Grids, wind turbine selection, FOS: Earth and related environmental sciences, Environmental sciences, [SDE.MCG] Environmental Sciences/Global Changes, Wind Farm Optimization, Electrical engineering, Wind power, Multiple scenarios
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 46 download downloads 119 - 46views119downloads
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