Dependent function analytic hierarchy process model for energy efficiency virtual benchmark and its applications in ethylene equipments
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Dependent function analytic hierarchy process model for energy efficiency virtual benchmark and its applications in ethylene equipments
CIESC JournalIssue 8, Pages: 2372-2377(2011)
作者机构:
1. 北京化工大学信息科学与技术学院,北京,100029
2. 中国石化集团炼化工程公司,北京,100029
作者简介:
基金信息:
DOI:
CLC:P18
Online First:05 August 2011,
Published:05 August 2011
稿件说明:
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GENG Zhiqiang, ZHU Qunxiong, GU Xiangbai. Dependent function analytic hierarchy process model for energy efficiency virtual benchmark and its applications in ethylene equipments[J]. CIESC Journal, 2011, (8): 2372-2377.
DOI:
GENG Zhiqiang, ZHU Qunxiong, GU Xiangbai. Dependent function analytic hierarchy process model for energy efficiency virtual benchmark and its applications in ethylene equipments[J]. CIESC Journal, 2011, (8): 2372-2377.DOI:
Dependent function analytic hierarchy process model for energy efficiency virtual benchmark and its applications in ethylene equipments
The existed evaluation of energy efficiency of ethylene equipments does not consider the different raw materials
process technology and equipment sizes
and ignores the relative factors of energy efficiency index
so it cannot analyse the saving energy choice among energy consumption factors.The paper puts forward the energy efficiency analysis method for ethylene equipments according to technologies
scales and data distribution of energy consumption including fuel
power
steam and water inner ethylene process boundary.Furthermore
energy efficiency virtual benchmarking method is proposed based on dependent function analytic hierarchy process model (DFAHP)
with which it can manipulate multi-factors and energy efficiency index together.It outweighs the traditional evaluation method such as the mean method and optimal index method.The applications of an ethylene equipment
even the whole ethylene industry for energy efficiency analysis are tested.The validity of proposed method is verified
which is more helpful to find the saving energy chance and quantified energy targets.