Time-series data fusion and its application to energy efficiency value for ethylene plants

ZHU Qunxiong; SHI Xiaoyun; GU Xiangbai; TIAN Qing

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Time-series data fusion and its application to energy efficiency value for ethylene plants

更新时间：2025-12-10

- Time-series data fusion and its application to energy efficiency value for ethylene plants
- CIESC Journal Issue 10, Pages: 2620-2626(2010)
- 作者机构：
  
  1. 北京化工大学信息科学与技术学院
  2. 中国石化集团炼化工程公司
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 October 2010，
  
  Published：05 October 2010
- 稿件说明：
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ZHU Qunxiong, SHI Xiaoyun, GU Xiangbai, et al. Time-series data fusion and its application to energy efficiency value for ethylene plants[J]. CIESC Journal, 2010, (10): 2620-2626.
DOI：

ZHU Qunxiong, SHI Xiaoyun, GU Xiangbai, et al. Time-series data fusion and its application to energy efficiency value for ethylene plants[J]. CIESC Journal, 2010, (10): 2620-2626. DOI：

摘要

为了获取乙烯装置的能效价值，提出基于k-means聚类的多变量时序数据线性最小方差优化融合算法及其证明。采用改进的k-means聚类算法对乙烯装置能耗相关时序数据进行聚类分析，获取多变量时序数据的分类及其聚类中心，以各聚类中心计算每个时序变量均方差，并用线性最小方差优化融合算法对各聚类中心加权向量融合，提取乙烯装置能效价值的多维数据虚拟标杆。提出采用多维能效价值雷达曲线展示虚拟标杆与能耗相关的多维数据，直观揭示各年度装置的运行状态与操作水平，准确找出产生能耗的主要原因及提高能效的主要方向。提出的方法不但为乙烯装置的能效评估提供了可行方法，也可应用到其他流程装置的能效评估。

Abstract

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.

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