Assessment of climate change impacts on the hydro-wind-solar energy supply system

Renewable energies such as hydro, wind, and solar power, are susceptible to the impacts of climate change. Energy Impact Assessment models under climate change are useful tools for understanding these impacts, but still face some challenges, such as the limited spatial resolution, the lack of utilization of the latest climate models, the inadequate analysis of uncertainties and extreme behaviors, and having not enough capability in simulating the coordinated operation of different power sources. To improve the situation, this study utilizes Random Forest Regression and its derivative Quantile Regression Forest to downscale the CMIP6 General Circulation Models for projecting the means and quantiles of the renewable energy resources for each individual power station under seven combined pathways of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs). Based on the projected results, a coordinated operation strategy is established to quantify the impacts of climate change on the regional hydro-wind-solar energy supply system. The assessment reveals: (1) changes of hydro-meteorological variables will present spatially and seasonal inhomogeneous; (2) at the end of the century, the projected increased level of electricity supply will be the highest under the SSP5-RCP8.5 and the increment will be 8.680 TWh; (3) the extreme lack electricity supply will occur under the SSP3-RCP7.0 for the period 2041–2060 and the twenty-year average value will be reduced by 16.83 TWh relative to the historical period reference period. • A novel assessment model for climate change impacts on the hydro-wind-solar energy supply system. • Perfect-prognosis statistical downscaling using the latest CMIP6 General Circulation Models. • Projection for means and quantiles of the renewable energy resources. • New analysis of future electricity supply with regard to climate change.