研究目的
To investigate the impact of climate change on photovoltaic power generation potential (PVP) over West Africa under four global warming levels (1.5°C; 2.0°C; 2.5°C and 3.0°C) and under the representative concentration pathway 8.5 (RCP 8.5) climate change scenario.
研究成果
The study concludes that ongoing global warming may reduce the photovoltaic power generation potential (PVP) over West Africa, with the magnitude of the decrease growing with warming levels. The maximum decrease in PVP projected over any country or zone in the region is less than 3.8% even for a warming level of 3.0°C. The results suggest that global warming and global dimming are the main contributors to the projected decrease in PVP.
研究不足
The study's limitations include the sensitivity of PVP projection to the uptake and removal of atmospheric dust by dry and wet convective systems, the need for high-resolution simulations for better representation of convections, and the influence of model biases on future projections.
1:Experimental Design and Method Selection:
The study analyzed fourteen regional climate model simulations from the Coordinated Regional Climate Downscaling Experiment (CORDEX) under the RCP
2:5 climate scenario. The methodology included evaluating the capability of the simulations to reproduce climate variables and PVP over West Africa. Sample Selection and Data Sources:
The study covered the entire West African domain, focusing on climate zones and countries within West Africa. Data sources included CORDEX datasets, SARAH-2, CRU, and ERA-Interim reanalyses dataset.
3:List of Experimental Equipment and Materials:
The study utilized simulations from CORDEX, satellite-observations from SARAH-2, and reanalysis data from ERA-Interim.
4:Experimental Procedures and Operational Workflow:
The study involved analyzing the projected changes in PVP and climate variables at four global warming levels, comparing simulations with observations, and quantifying the contribution of each variable to the projected changes in PVP.
5:Data Analysis Methods:
The study used spatial correlation, mean bias deviation, and root mean square deviation to evaluate the simulations' performance. The impact of climate change on PVP was analyzed by including Rs, Ts, Ws, and Rh over West Africa.
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