sustainability Article LMDI Decomposition of Energy-Related CO2 Emissions Based on Energy and CO2 Allocation Sankey Diagrams: The Method and an Application to China Linwei Ma 1,2, Chinhao Chong 1,2,3, Xi Zhang 1, Pei Liu 1, Weiqi Li 1,3,*, Zheng Li 1 and Weidou Ni 1 1 State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Research and Education Centre, Tsinghua University, Beijing 100084, China;
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[email protected] (W.N.) 2 Tsinghua-Rio Tinto Joint Research Centre for Resources, Energy and Sustainable Development, Tsinghua University, Beijing 100084, China 3 Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610200, China * Correspondence:
[email protected]; Tel.: +86-10-6279-5734-302 Received: 30 December 2017; Accepted: 25 January 2018; Published: 29 January 2018 Abstract: This manuscript develops a logarithmic mean Divisia index I (LMDI) decomposition method based on energy and CO2 allocation Sankey diagrams to analyze the contributions of various influencing factors to the growth of energy-related CO2 emissions on a national level. Compared with previous methods, we can further consider the influences of energy supply efficiency. Two key parameters, the primary energy quantity converted factor (KPEQ) and the primary carbon dioxide emission factor (KC), were introduced to calculate the equilibrium data for the whole process of energy unitization and related CO2 emissions. The data were used to map energy and CO2 allocation Sankey diagrams.