As one of the fundamental resources for the survival of human society, energy is an important resource for sustaining economic development and societal progress. Energy consumption is one of the important factors which would trigger climate change and affect the quality of regional environment. Therefore, a situational analysis of regional energy consumption is important for controlling the overall energy consumption and making a reasonable regional energy policy. Taking Liaoning, an old industrial base in Northeastern China, as an example, we used the method of grey relational analysis to quantitatively analyze the correlation of energy consumption and economic growth between 2000 and 2014. The degree of correlation was 0.93,suggesting an energy-driven-model of development. Based on grey model GM( 1,1),we conducted a situational analysis of expected energy consumption between 2015 and 2029. The results showed that the secondary industry would consume the greatest amount of energy. The consumption would show an exponentially rising trend. Based on the factoring method as well as energy-saving index,we evaluated the potential and efficiency of regional energy conservancy. We concluded that regional energy conservancy should be structural energy conservancy and technology-based energy conservancy. We proposed recommendations towards sustainable transition of energy.