Wind power generation can offer a great opportunity to pursue the greenhouse gases mitigation ambitions as ratified under the Paris Agreement. Despite definite advantage of wind resources and rapid growth of wind energy industry, actual electric power from wind generation is still quite limited due to the uncertainty of wind prediction at turbine height. In this project, we will estimate the changes in wind energy potentials under global warming over Jeju island which has served as a Smart Grid Test-bed. The ensemble climate projections produced using the state-of-the-art climate models will be analyzed in a comprehensive way.
The student will collect and process the multi-model climate projections. The student will apply the statistical method to correct model bias and compare model simulation with observation. An in-depth analysis will be performed to identify how the globally aggregated warming target temperature (1.5 degree warming or 2 degree warming) can be disaggregated into regional impacts on wind energy resources.
By completing this project, the student will learn how to handle huge amount of climate data and how to analyze and interpret the climate change impacts due to global warming.