EGU25-26, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-26
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 29 Apr, 16:15–18:00 (CEST), Display time Tuesday, 29 Apr, 14:00–18:00
 
Hall X5, X5.230
A Novel Metric for Quantifying Solar Irradiance Stability: Mapping Solar Irradiance Variability to Photovoltaic Power Generation
Qun Tian1, Jinxiao Li2, Zhiang Xie3, Puxi Li4, Ya Wang5, Dongwei Chen6, and Yue Zheng7
Qun Tian et al.
  • 1Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, China (tianq@gd121.cn)
  • 2Shanghai Investigation, Design and Research Institute Co., Ltd., Shanghai, China (lijinxiao@sidri.com)
  • 3Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China (xieza@sustech.edu.cn)
  • 4State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China (lipx@cma.gov.cn)
  • 5State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China (wangya@mail.iap.ac.cn)
  • 6School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, USA (dongwec@clemson.edu)
  • 7ClusterTech Ltd., Hong Kong, China (zheng124@alumni.purdue.edu)

The daily stability of solar irradiance significantly influences photovoltaic (PV) power generation; however, existing metrics for assessing it normally fail to robustly correlate with daily PV output. To address this gap, we introduce a new metric, the solar instability index (SII), formulated by applying the Wasserstein distance to assess the deviation of intra-day solar irradiance pattern from the anticipated diurnal cycle. In our case station, SII closely correlates with atmospheric moisture and available solar energy, suggesting its strong association with synoptic weather events that lead to solar resource loss. We further scrutinize the efficacy of SII alongside two existing metrics through two case studies. The results demonstrate that SII excels in capturing low-frequency variations in solar irradiance without relying on arbitrarily assigned parameters, thereby outperforming the other two metrics in establishing a robust correlation with PV power output. As such, in scenarios involving site selection for PV power plant, SII stands as a valuable metric for assessing the potential stability of daily PV power generation.

How to cite: Tian, Q., Li, J., Xie, Z., Li, P., Wang, Y., Chen, D., and Zheng, Y.: A Novel Metric for Quantifying Solar Irradiance Stability: Mapping Solar Irradiance Variability to Photovoltaic Power Generation, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-26, https://doi.org/10.5194/egusphere-egu25-26, 2025.