In order to obtain energy efficiency value of ethylene plants

multivariate time series data linear minimum variance optimal fusion algorithm based on k-means clustering was proposed.The improved k-means clustering algorithm was adopted to analyze time-series data of energy consumption of ethylene unit with related multi-variables.So the various groups and cluster centers could be obtained

and the calculation of each variable variance in all kinds of groups was provided based on cluster centers.And then comprehensive vector-weighting was used to fuse all clustering centers

and realize multi-dimensional data virtual benchmarking of energy efficiency value of ethylene plants.Virtual benchmarking and multi-dimensional data about energy efficiency were shown by multi-dimensional energy efficiency value Radar curve.The operational status and operational levels were revealed directly

and the main reason for energy consumption was easily identified to improve energy efficiency.The proposed algorithm provided a method of energy consumption evaluation not only for ethylene plants

but also for other process plants.