A novel evolution tree for analyzing the global energy consumption structure. (15th March 2018)

• Record Type: Journal Article
• Authors: Hu, Yuan; Peng, Ling; Li, Xiang; Yao, Xiaojing; Lin, Hui; Chi, Tianhe
• Is Part Of: Energy. Volume 147(2018)
• Page Start: 1177
• Page End: 1187
• Publication Date: 2018-03-15
• Subjects: Energy consumption structure -- Evolution tree -- Cluster analysis -- Markov chain; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2018.01.093
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Systematically organizing and analyzing the energy consumption structure of the world can reveal the organic connections between countries. Furthermore, such tasks can provide a global reference system for each country, enabling each one to adjust and optimize its energy consumption structure. Most previous studies of the global energy consumption structure overlooked the associations between countries and the evolutionary trends associated with the energy consumption structures of countries. This paper analyzes the evolution of the global energy consumption structure using an evolution tree model. The visual structure of this model provides a novel perspective for understanding and analyzing the underlying trends. First, 144 countries and regions are categorized into four different types using the k-means clustering algorithm. Countries and regions that belong to the same type generally follow similar evolutionary paths. Moreover, type IV countries, which are mainly developed countries, have the most diverse energy consumption structures. By contrast, the energy consumption structures of other types of countries and regions can be improved. Countries can be located in the global energy consumption structure of the evolution tree, and these locations can provide a basis for improving the energy consumption structure of a country based on similar countries that are more diverse. Highlights: The evolution tree is a visual tool to analyze the energy consumption structure. The evolutionary trends in different countries are clearly presented in one figure. The organic connections between countries can be revealed by the evolution tree.