极地研究 ›› 2022, Vol. 34 ›› Issue (3): 292-302.DOI: 10.13679/j.jdyj.20210058

• 研究论文 • 上一篇    下一篇

南极昆仑站光照资源评估

王焘1  单硕2  金鑫淼1  姚旭1  方仕雄2  张侃健2   

  1. 1中国极地研究中心, 上海 200136; 
    2东南大学自动化学院, 江苏 南京 210096

  • 收稿日期:2021-07-08 修回日期:2021-08-03 出版日期:2022-09-28 发布日期:2022-09-28
  • 通讯作者: 单硕
  • 作者简介:王焘, 男, 1988年生。工程师, 主要研究方向为极地特种机械装备及能源系统。E-mail: wangtao@pric.org.cn
  • 基金资助:
    国家自然科学基金(61973083)和上海市“科技创新行动计划”社会发展科技攻关项目(20dz1207102)资助

Assessment of solar photovoltaic power potential at Kunlun Station, Antarctica

Wang Tao1, Shan Shuo2, Jin Xinmiao1, Yao Xu1, Fang Shixiong2, Zhang Kanjian2   

  1. 1Polar Research Institute of China, Shanghai 200136, China; 
    2School of Automation, Southeast University, Nanjing 210096, China

  • Received:2021-07-08 Revised:2021-08-03 Online:2022-09-28 Published:2022-09-28

摘要: 在极地地区建立光伏电站首先要进行光照资源评估。本研究使用了NASA 2001—2017年昆仑站地区卫星数据, 基于人工神经网络对全天候辐照度进行了预测分析。结果表明昆仑站地区年辐照度属于最丰富带, 近17年均值达到1855 kW·h·m–2, 月辐照度分布呈现年际规律, 每个月相对固定; 日平均辐照度和日照时长也呈现相似年际规律; 气候反馈分析和预测分析表明, 昆仑站地区辐照度与温度、气溶胶和臭氧含量呈正相关关系; 降水、云量与辐照度成负相关关系。

关键词: 昆仑站, 辐照度, 人工神经网络, 南极

Abstract: We assessed the solar photovoltaic power potential at Kunlun Station, Antarctica with the goal of establishing a photovoltaic plant at the station. We analyzed NASA satellite data of the station area from 2001 to 2017 and conducted forecasts of global irradiance. Our results show that the annual irradiance is high. During the year, there are monthly variations in the irradiance distribution, which remains relatively stable during each month. The average daily irradiance and sunshine hours also exhibit similar variations throughout the year. Using artificial neural networks, we conducted forecasts and climate feedback analysis. Results show that the irradiance is positively correlated with temperature, aerosol, and ozone content, while cloud amount and rainfall show negatively correlation with the irradiance in the Antarctic region.

Key words: Kunlun Station, irradiance, artificial neural network, Antarctica