Authors: Chen Demin; Lu Biao; Chen Guang
Addresses: School of Civil Engineering, Anhui University of Technology, Ma'anshan, 243032, China ' School of Civil Engineering, Anhui University of Technology, Ma'anshan, 243032, China ' School of Energy and Environment, Anhui University of Technology, Ma'anshan, 243032, China
Abstract: For improving the energy utilisation efficiency of iron and steel enterprises, a systemic energy consumption analysis method was put forward in accordance with the index decomposition method of the e-p (IDM e-p) model. And this analysis method included that data collection of the enterprise; the improvement of the IDM e-p (IIDM e-p) model; partial correlation analysis (PCA) of energy consumption influencing factors in bottleneck location; multiple linear regressions (MLR) modelling in bottleneck position. And then, this systemic analysis method was used in an iron and steel enterprise. The analysis of the model showed that blast temperature and blast volume were key parameters on coke ratio in bottleneck location. The coke ratio decreased by 0.48 kg/t when the blast temperature was increased by 1% (2.15°C). When the blast volume was increased by 1% (7.93 m3/min), the coke ratio decreased by 0.43 kg/t.
Keywords: the IIDM e-p model; PCA; partial correlation analysis; MLR modelling; bottleneck location.
International Journal of Engineering Systems Modelling and Simulation, 2018 Vol.10 No.2, pp.103 - 111
Received: 25 Mar 2017
Accepted: 18 Jul 2017
Published online: 15 May 2018 *