Optimization of iron and steel manufacturing plant considering electricity price tariff and electric arc furnace control

Author:

Lee Seok‐Young1,Lee Gyu‐Sub2ORCID,Moon Seung‐Il2,Yoon Yong‐Tae1

Affiliation:

1. Department of Electrical and Computer Engineering Seoul National University (SNU) Seoul South Korea

2. Department of Energy Engineering Korea Institute of Energy Technology (KENTECH) Naju South Korea

Abstract

AbstractThe iron and steel industry, which is a highly energy‐intensive sector, seeks to increase energy efficiency and reduce operating costs by optimizing the distributions of byproduct gases, steam, and electricity throughout the production process. The operating costs of an iron and steel plant typically include the purchase cost of liquefied natural gas fuel, electricity, and penalties for byproduct gas holders. Electricity tariffs have a significant impact on energy costs through two factors: the energy charge, which is related to energy consumption varying with time, and the demand charge, which is proportional to the peak power. In this study, the characteristics of electricity tariffs and multi‐energy systems, specifically for iron and steel plants, are considered. In the proposed method, electric arc furnaces are employed as controllable units to flexibly manage the power load. The optimization model utilized in the plant adopts a mixed‐integer linear programming approach to minimize the overall operating costs. Several case studies were conducted to verify the effectiveness of the proposed methods, and the total costs associated with different cases were compared.

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3