中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-objective Optimization of the Energy System in an Iron and Steel Plant for Energy Saving and Low Emissions

文献类型:会议论文

作者Zeng, Yujiao; Xiao, Xin; Li, Jie; Song, Fei
出版日期2018
会议日期JUN 10-13, 2018
会议地点Graz, AUSTRIA
关键词multi-objective optimization POWER environmental impact MODEL integrated energy system improved multi-objective particle swarm iron and steel
卷号43
DOI10.1016/B978-0-444-64235-6.50199-6
页码1141 ; 1146
英文摘要The energy system in the iron and steel industry significantly contributes to the large energy consumption and emissions of CO2 and some air pollutants such as SO2 and NOx. Therefore, optimization of the energy system is highly desired in order to reduce energy consumption and those emissions. In this paper, a multi-objective multi-period planning model is developed for optimization of the energy system in an iron and steel plant, incorporating some important practical features such as fuel selection, gasholder level control, minimum heating requirements for single and mixed consuming users and ramp rate limits. The objective is to minimize the economic cost and environmental impact simultaneously. To solve the multi-objective optimization model, a new improved multi-objective particle swarm optimization algorithm is proposed, incorporating self-adaptive mutation and effective constraint handling strategies. The results demonstrate the superiority of the proposed approach to solve the multi-objective optimization problem.
源文献作者European Federat Chem Engn, CAPE Working Party, TU Graz, TU Wien, Brno Univ Technol, Sci Coordinat Team
会议录Proceedings Paper
WOS记录号WOS:000441374200199
源URL[http://ir.ipe.ac.cn/handle/122111/28936]  
专题中国科学院过程工程研究所
推荐引用方式
GB/T 7714
Zeng, Yujiao,Xiao, Xin,Li, Jie,et al. Multi-objective Optimization of the Energy System in an Iron and Steel Plant for Energy Saving and Low Emissions[C]. 见:. Graz, AUSTRIA. JUN 10-13, 2018.

入库方式: OAI收割

来源:过程工程研究所

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