Spatiotemporal distribution pattern and analysis of influencing factors of pumped storage power generation in China

被引:1
|
作者
Zhao, Feifei [1 ]
Liu, Xiaoxue [1 ]
Zhao, Xu [1 ]
Wang, Hao [1 ,2 ]
机构
[1] China Three Gorges Univ, Sch Econ & Management, Yichang 443002, Peoples R China
[2] Jishou Univ, Coll Civil Engn & Architecture, Jishou 427000, Peoples R China
关键词
Pumped storage power generation; Temporal distribution pattern; Spatial distribution trend; Geographic detector; Influencing factors; SYSTEM; OPERATION; OPTIMIZATION; STRATEGY; STATION; PLANT;
D O I
10.1016/j.est.2023.110078
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Under the "30 & sdot;60" dual carbon target, the construction of pumped storage power stations is an important component of promoting clean energy consumption and building a new type of power system. This article aims to depict the spatiotemporal distribution pattern and main influencing factors of China's pumped storage power generation (PSPG) and provides practical support for planning power station construction and promoting clean energy development in the future. The main conclusions can be drawn as follows: (1) From 2012 to 2020, PSPG was mainly distributed in the central and eastern regions, with an inverted "U" trend in power generation except for in Guangzhou and Zhejiang provinces. (2) The development direction of PSPG showed a fluctuating and spreading trend from East China to North China, but the development focus was still in East China. In addition, the western regions showed a low-low autocorrelation, while the central and eastern regions showed a high-high autocorrelation, highlighting the issue of spatial imbalance. (3) Socioeconomic factors were the main factors affecting PSPG, followed by energy structure, and the impact of natural factors was relatively weak.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] The spatiotemporal pattern evolution and influencing factors of CO2 emissions at the county level of China
    Wang, Shaojian
    Xie, Zihan
    Wang, Zehong
    Dili Xuebao/Acta Geographica Sinica, 2021, 76 (12): : 3103 - 3118
  • [32] Spatiotemporal Pattern of Cultivated Land Pressure and Its Influencing Factors in the Huaihai Economic Zone, China
    LI Yi
    FANG Bin
    LI Yurui
    FENG Weilun
    YIN Xu
    Chinese Geographical Science, 2023, 33 (02) : 287 - 303
  • [33] Spatiotemporal Pattern of Cultivated Land Pressure and Its Influencing Factors in the Huaihai Economic Zone, China
    Yi Li
    Bin Fang
    Yurui Li
    Weilun Feng
    Xu Yin
    Chinese Geographical Science, 2023, 33 : 287 - 303
  • [34] Analysis of the factors that affect the arrangement of powerhouse of pumped storage power station
    Yang, Jing
    Wu, Kui
    Shuili Fadian Xuebao/Journal of Hydroelectric Engineering, 2009, 28 (02): : 157 - 160
  • [35] Distribution Pattern and Influencing Factors of Soil Selenium in Northern Hebei Province, China
    Liting Zhang
    Zhijun Wang
    Yuanchen Liu
    Xi Wang
    Xiaoyang Xie
    Li Zhang
    Geochemistry International, 2023, 61 : 750 - 767
  • [36] Research on the Spatial Distribution Pattern and Influencing Factors of Digital Economy Development in China
    Li, Zhiqiang
    Liu, Ying
    IEEE ACCESS, 2021, 9 : 63094 - 63106
  • [37] Distribution Pattern and Influencing Factors of Soil Selenium in Northern Hebei Province, China
    Zhang, Liting
    Wang, Zhijun
    Liu, Yuanchen
    Wang, Xi
    Xie, Xiaoyang
    Zhang, Li
    GEOCHEMISTRY INTERNATIONAL, 2023, 61 (07) : 750 - 767
  • [38] Multiscale Spatial Distribution Pattern and Influencing Factors on Inland Fishing Gardens in China
    Huang, Yong
    Kang, Qinjun
    Wang, Qi
    Luo, Lili
    Wang, Tingting
    Chang, Qingrui
    SUSTAINABILITY, 2022, 14 (11)
  • [39] Agricultural carbon emissions in China: measurement, spatiotemporal evolution, and influencing factors analysis
    Huang, Xiujing
    Wu, Xinyu
    Guo, Xiaoyang
    Shen, Yang
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [40] Spatiotemporal analysis and influencing factors of ecological vulnerability in the Tuojiang River Basin, China
    Zhang, Rui
    Hu, Chengyu
    Lim, Hweesan
    Zhang, Yuanjun
    GEOCARTO INTERNATIONAL, 2025, 40 (01)