Decreasing the Use of High-Quality Make-Up Water in the Steel Sector by Coupling Enhanced Sensors Circuit with Decision and Support Tool

可靠性(半导体) 水质 工艺工程 过程(计算) 持续性 供水 质量(理念) 环境科学 计算机科学 风险分析(工程) 可靠性工程 工程类 环境工程 业务 生态学 操作系统 功率(物理) 量子力学 哲学 生物 认识论 物理
作者
Ismael Matino,Valentina Colla,Alessandro Maddaloni,Silvia Cateni,Vincenzo Iannino,Alice Petrucciani,Antonella Zaccara,Teresa Annunziata Branca,Ruben Matino,Matteo Chini,Loris Bianco,Sergio Porisiensi,Luca De Cecco,Gianluca Tomat,Flavio Nodusso,Guido Lepore
出处
期刊:Water [MDPI AG]
卷期号:15 (18): 3208-3208 被引量:2
标识
DOI:10.3390/w15183208
摘要

Water is a fundamental steelworks additional resource; its efficient management is crucial for process reliability, product quality and environmental sustainability. Within steelworks, water is exploited mainly for direct or indirect cooling and is usually reused and recycled after cooling and treatments to eliminate contaminants. However, bottlenecks often exist, limiting water management efficiency and increasing water consumption. These issues are mainly related to water treatments efficiency, lack of water parameters monitoring and the manual/semi-manual management of water networks. Furthermore, these aspects are generally associated with the plant’s service life; brownfield sites are mostly affected. In these cases, improving sensor circuits coupled with decision support tools can support human decisions and lead to significant advantages. The paper discusses a potential application of such tools after new sensors installation in a use case concerning the minimization of the use of high-quality make-up-water for the indirect cooling system of a wire-rod mill in electric steelworks. The effectiveness of the described tool is shown, and the advantages are highlighted in terms of potential savings that can reach 95% and 4% of the current consumption of well and osmotic water in the considered circuit, respectively, corresponding to a saving of about 9400 m3/year of high-quality water.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
尘埃完成签到,获得积分10
2秒前
3秒前
3秒前
可爱的函函应助InitialX采纳,获得10
5秒前
婧婧婧发布了新的文献求助10
5秒前
陈金民完成签到,获得积分10
6秒前
8秒前
guo完成签到,获得积分10
8秒前
9秒前
9秒前
10秒前
zhj完成签到,获得积分10
10秒前
10秒前
11秒前
许钟一发布了新的文献求助10
11秒前
俏皮的一德完成签到,获得积分10
11秒前
小周完成签到,获得积分10
12秒前
weilian完成签到,获得积分10
12秒前
13秒前
Taozhi发布了新的文献求助10
13秒前
Diego发布了新的文献求助30
13秒前
13秒前
李健的小迷弟应助婧婧婧采纳,获得10
14秒前
danporzhu发布了新的文献求助10
16秒前
cquank发布了新的文献求助10
16秒前
Sunshine完成签到,获得积分10
17秒前
文静的清完成签到,获得积分10
18秒前
共享精神应助husi采纳,获得10
18秒前
量子星尘发布了新的文献求助10
18秒前
漂亮竺发布了新的文献求助10
18秒前
zzzhhh发布了新的文献求助10
19秒前
魔幻诗兰完成签到,获得积分10
19秒前
20秒前
21秒前
21秒前
Kittymiaoo完成签到,获得积分10
22秒前
科研通AI6应助等待冰露采纳,获得10
22秒前
24秒前
脑洞疼应助wdd采纳,获得10
25秒前
liuguanfeng发布了新的文献求助10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exosomes Pipeline Insight, 2025 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5649707
求助须知:如何正确求助?哪些是违规求助? 4779165
关于积分的说明 15050119
捐赠科研通 4808741
什么是DOI,文献DOI怎么找? 2571782
邀请新用户注册赠送积分活动 1528105
关于科研通互助平台的介绍 1486871