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]
日期:2023-09-08
卷期号:15 (18): 3208-3208
被引量:2
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.
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