Lingfeng Lv, Xiaotong Zhang
Accurate estimation of photovoltaic (PV) potential under future climate scenarios is critical for global decarbonization and energy transition planning. This study employed the Global Solar Energy Estimation model to calculate PV potential and carbon mitigation across three Shared Socioeconomic Pathways (SSPs) using calibrated data of 2015 – 2100 from the CMIP6 data based on the Bayesian Model Averaging method. Results showed that the global annual mean PV capacity factor (CF) (power generation) was 0.1622 (2010 TWh), 0.1597 (1993 TWh), and 0.1543 (1961 TWh) under low (SSP1-2.6), intermediate (SSP2-4.5), and high (SSP5-8.5) carbon emission scenarios respectively, indicating that climate change impacts significantly affect global PV potential and its driving mechanisms.
@article{8810fe12-8958-488c-bc39-c62692e3e2b5,
title={Spatiotemporal analysis of global future photovoltaic potenti 2027 Applied E},
author={Lingfeng Lv and Xiaotong Zhang},
year={2026},
language={en}
}TY - JOUR TI - Spatiotemporal analysis of global future photovoltaic potenti 2027 Applied E AU - Lingfeng Lv AU - Xiaotong Zhang PY - 2026 LA - en ER -
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