| 炼油企业综合能源效率评价指标体系的研究 |
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| 引用本文： | 韩致远,王伯安.炼油企业综合能源效率评价指标体系的研究[J].北京石油化工学院学报,2013,21(2):56-61. |
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| 作者姓名： | 韩致远 王伯安 |
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| 作者单位： | 北京化工大学经济管理学院,北京,100029;北京石油化工学院经济管理学院,北京,102617 |
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| 摘 要： | 利用3E评价模型构建炼油企业的综合能源效率评价指标体系,通过运用BP神经网络确定评价指标的权重,权重最高的指标是资源循环利用率,其次是能源强度。利用2010年M企业和炼油行业的数据进行神经网络训练,结果显示,M企业的综合能源效率评价结果明显优于行业水平。
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| 关 键 词： | 炼油企业 能源效率 BP神经网络 |
Refining Enterprise Evaluation Index System of Comprehensive Energy Efficiency |
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| HAN Zhi-yuan
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WANG Bo-an.Refining Enterprise Evaluation Index System of Comprehensive Energy Efficiency[J].Journal of Beijing Institute of Petro-Chemical Technology,2013,21(2):56-61. |
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| Authors: | HAN Zhi-yuan WANG Bo-an |
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| Affiliation: | 1. Beijing University of Chemical Technology, Beijing 102617, China; 2. Beijing Institutes of Petro-chemical Technology, Beijing 102617, China) |
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| Abstract: | 3E evaluation model is employed to analyze the comprehensive factors affecting energy efficiency in refining enterprise, and the BP neural network is adopted to determine the weights of the evaluation index. The result shows that the highest weight of the indicators is the resource recycling rate, followed by energy intensity. Put 2010 M enterprise and refining industry data into the neural network training, the results show that the evaluation of the energy efficiency of the M enterprises is significantly better than the industrial level. |
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| Keywords: | oil refining enterprises energy efficiency BP neural network |
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