Data center energy optimization problem is an important research direction in cloud computing field. However, in the real world, relevant research needs to bear high research costs and long experimental period. Therefore, simulation technology has been widely used in this field. In order to improve the accuracy and reliability of the data center energy-aware simulation experiment, this study analyzes the built-in energy consumption model of the simulation platform and the energy consumption evaluation methods proposed by other scholars, and puts forward the energy consumption evaluation method, which considers the impact of CPU utilization on memory energy consumption, based on CPU and memory usage rate. Also, a multivariate nonlinear model is used for regression analysis. The experiment proves that the energy consumption evaluation method proposed in this study can be applied to the simulation platform and has high prediction accuracy, which effectively improves the accuracy of the energy consumption evaluation of the cloud computing simulation platform.