High Emission Scenario Substantially Damages China's Photovoltaic Potential

Quantifying future changes in solar photovoltaic (PV) potential is of great significance for energy planning and policy making to achieve carbon neutrality. To constrain the uncertainties of applying directly Coupled Model Intercomparison Project Phase 6 (CMIP6) projections to such quantification, we construct the performance‐weighted CMIP6 solar irradiance and air temperature data, and then assess the future changes in China's PV potential and accompanying economic benefits under three typical climate change scenarios. We find that the high emission scenario will substantially damage China's PV potential, resulting in a reduction of 314 TWh/year in electricity generation by the planned installed capacity in 2100, with a corresponding loss of US $25 billion/year. However, the low emission scenario will enhance the PV potential, yielding an additional electricity generation of 226 TWh/year and a corresponding bonus of US $18 billion/year in 2100. China's commitment to carbon neutrality will lead to low‐carbon emissions, which brings great economic rewards to its PV industry.

[1]  D. V. van Vuuren,et al.  Climate change impacts on renewable energy supply , 2021, Nature Climate Change.

[2]  G. Huang,et al.  Impacts of climate change on photovoltaic energy potential: A case study of China , 2020 .

[3]  R. Jackson,et al.  Climate change extremes and photovoltaic power output , 2020, Nature Sustainability.

[4]  S. Mallapaty How China could be carbon neutral by mid-century , 2020, Nature.

[5]  R. Vautard,et al.  Impacts of climate change on energy systems in global and regional scenarios , 2020, Nature Energy.

[6]  J. Thepaut,et al.  The ERA5 global reanalysis , 2020, Quarterly Journal of the Royal Meteorological Society.

[7]  Mengchun Wu,et al.  Photovoltaic panel cooling by atmospheric water sorption–evaporation cycle , 2020, Nature Sustainability.

[8]  A. Porporato,et al.  Impacts of solar intermittency on future photovoltaic reliability , 2020, Nature Communications.

[9]  Martin Wild,et al.  Homogenization and trend analysis of the 1958-2016 in-situ surface solar radiation records in China1 , 2018 .

[10]  Graham R. Simpkins Progress in climate modelling , 2017 .

[11]  Richard H. Friend,et al.  Understanding Energy Loss in Organic Solar Cells: Toward a New Efficiency Regime , 2017 .

[12]  Daniel M. Kammen,et al.  Energy storage deployment and innovation for the clean energy transition , 2017, Nature Energy.

[13]  S. Pfenninger,et al.  Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data , 2016 .

[14]  Björn Müller,et al.  Projections of long-term changes in solar radiation based on CMIP5 climate models and their influence on energy yields of photovoltaic systems , 2015 .

[15]  Abul Fazal M. Arif,et al.  Electrical, thermal and structural performance of a cooled PV module: Transient analysis using a multiphysics model , 2013 .

[16]  Min Min,et al.  Development of a 50-year daily surface solar radiation dataset over China , 2013, Science China Earth Sciences.

[17]  P. Forster,et al.  Climate change impacts on future photovoltaic and concentrated solar power energy output , 2011 .

[18]  T. Chang The Sun’s apparent position and the optimal tilt angle of a solar collector in the northern hemisphere , 2009 .

[19]  S. Pfenninger,et al.  Estimation of losses in solar energy production from air pollution in China since 1960 using surface radiation data , 2019, Nature Energy.

[20]  J. Eom,et al.  The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview , 2017 .