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The depletion of energy and the environmental pollution caused by burning energy are serious problems all over the world. There is still no new energy source that can take place of the combustibility source. The best way at present is an energy transition using existing renewable energy sources. In this paper, the author analyzed the amount of total energy consumption (TEC) over the past 40 years and how coal, petroleum, gas and primary energy and other energy (PEE) accounted in TEC. The purpose of this study is to decide the trend for each energy, therefore giving a clearer perspective for the change of energy structure and the increasing rate of consumed PEE . Then constructs two different linear regression models (LR) to determine the future of PEE by analyzing the predicted proportion of PEE consumed in TEC. The linear regression models were analyzed across regression equations, regression coefficients, p-values, the goodness of fits (Multiple R-squared) and confidential interval. The author also drew figures to do the residual error fitting test, residual normality test, residual-variance equality test and outliers’ test. The goal for test models is to find a better model to decide a more precise value of the proportion of PEE, such that observe the increasing process of sustainable energy and give a clearer perspective of the transformation of energy structure. The multiple R-squared of a linear model with all data in the dataset is 0.87 and the accuracy of testing improved to 0.9 by eliminating outliers. The multiple R-squared of the nonlinear model is a greater number of 0.94. In conclusion, the future proportion of sustainable energy and the rate of increase can be predicted by these two models. The PEE can take a larger part in China’s energy construction so as to solve current problems.
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