An assessment of global electric power consumption using the Defense Meteorological Satellite Program-Operational Linescan System nighttime light imagery. (15th December 2019)

• Record Type: Journal Article
• Authors: Lu, Linlin; Weng, Qihao; Xie, Yanhua; Guo, Huadong; Li, Qingting
• Is Part Of: Energy. Volume 189(2019)
• Publication Date: 2019-12-15
• Subjects: Electric power consumption -- Global spatial pattern -- Metropolises -- Nighttime lights -- Remote sensing; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2019.116351
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Industrialization and urbanization have led to a remarkable increase of electric power consumption (EPC) during the past decades. To assess the changing patterns of EPC at the global scale, this study utilized nighttime lights in conjunction with population and built-up datasets to map EPC at 1 km resolution. Firstly, the inter-calibrated nighttime light data were enhanced using the V4.0 Gridded Population Density data and the Global Human Settlement Layer. Secondly, linear models were calibrated to relate EPC to the enhanced nighttime light data; these models were then employed to estimate per-pixel EPC in 2000 and 2013. Finally, the spatiotemporal patterns of EPC between the periods were analyzed at the country, continental, and global scales. The evaluation of the EPC estimation shows a reasonable accuracy at the provincial scale with R 2 of 0.8429. Over 30% of the human settlements in Asia, Europe, and North America showed apparent EPC growth. At the national scale, moderate and high EPC growth was observed in 45% of the built-up areas in East Asia. The spatial clustering patterns revealed that EPC decreased in Russia and the Western Europe. This study provides fresh insight into the spatial pattern and variations of global electric power consumption. Highlights: Global electric power consumption was estimated with nighttime light data. Good degree of accuracy was achieved against statistical data in China and USA. Temporal variations of electricity consumption were observed in East Asia. Electric power consumption decrease was observed in Russia and the Western Europe. Energy efficiency improvement in Asia contributed to global energy use reduction.