Related Experiment Video
Updated: Feb 18, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
Wind-generated Electricity in China: Decreasing Potential, Inter-annual Variability and Association with Changing
Peter Sherman1, Xinyu Chen2, Michael B McElroy3,4
1Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, 02138, United States.
Wind power generation in China is declining due to changing wind resources. This decrease, linked to global warming and atmospheric oscillations, impacts financial returns and carbon reduction benefits.
Area of Science:
- Meteorology
- Climate Science
- Renewable Energy
Background:
- China possesses the world's largest market for wind-generated electricity.
- Financial returns and carbon reduction from wind power are sensitive to wind resource variability.
- Understanding long-term wind resource trends is crucial for energy management.
Purpose of the Study:
- To estimate hourly wind-generated electricity in China from 1979 to 2015.
- To analyze the secular trends and variability in wind power generating potential.
- To identify factors influencing wind resource changes in China.
Main Methods:
- Utilized assimilated meteorological database for wind data.
- Estimated hourly wind-generated electricity at ~50km x 50km resolution.
- Employed linear regression incorporating Pacific Decadal Oscillation (PDO) and Arctic Oscillation (AO) indices.
Main Results:
- A secular decrease in wind power generating potential was observed across China from 1979 to 2015.
- The most significant declines occurred in western Inner Mongolia (15±7%) and northern Gansu (17±8%).
- This decrease is associated with long-term warming near the Siberian High (SH) and global average surface temperatures.
Conclusions:
- Long-term warming trends and climate oscillations (PDO, AO) significantly influence China's wind power potential.
- A linear regression model incorporating these factors explains interannual wind power variability.
- Improved long-term forecasting of wind resources can enhance future energy system management.
Related Concept Videos
Global Climate Change
Turbine-Governor Control
What is Climate?
Wind Turbine Machine Models
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
Generator Voltage Control
Generation of Three-Phase Voltage
As the rotor...
