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Assessment of plum rain’s impact on power system emissions in Yangtze-Huaihe River basin of China

Author

Listed:
  • Guangsheng Pan

    (Southeast University)

  • Qinran Hu

    (Southeast University)

  • Wei Gu

    (Southeast University)

  • Shixing Ding

    (Southeast University)

  • Haifeng Qiu

    (Southeast University)

  • Yuping Lu

    (Southeast University)

Abstract

As a typical climate that occurs in the Yangtze-Huaihe River basin of China with a size of 500,000 km2, plum rain can reduce the photovoltaic (PV) potential by lowering the surface irradiance (SI) in the affected region. Based on hourly meteorological data from 1980 to 2020, we find that plum rain can lower the SI in the affected region with a weekly peak drop of more than 20% at the most affected locations. This SI drop, coupled with a large number of deployed PV systems, can cause incremental CO2 emissions (ICEs) of local power systems by increasing the additional thermal power. Using a cost optimization model, we demonstrate that the ICEs in 2020 already reached 1.22 megatons and could range from 2.21 to 4.73 megatons, 3.47 to 7.19 megatons, and 2.97 to 7.43 megatons in 2030, 2040, and 2050, respectively, considering a change trend interval of a ±25% fluctuation in power generation and demand in the different years. To offset these ICEs, we compare four pathways integrated with promising technologies. This analysis reveals that the advanced deployment of complementary technologies can improve the PV utilization level to address climate impacts.

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  • Guangsheng Pan & Qinran Hu & Wei Gu & Shixing Ding & Haifeng Qiu & Yuping Lu, 2021. "Assessment of plum rain’s impact on power system emissions in Yangtze-Huaihe River basin of China," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26358-w
    DOI: 10.1038/s41467-021-26358-w
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    2. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).

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