Optimizing Asset Value and Operational Costs for Sustainability in Industrial Water Systems: A Case Study of a Steel Plant

IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL
Aadil Bharucha, Abhilasha Maheshwari, Vijaysai Prasad, Ravindra D. Gudi
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Abstract

Sustainable industrialization and efficient water management are among the crucial objectives of the United Nations’ sustainable development agenda. These objectives can be achieved by adopting water-saving technologies, optimizing resource usage, and refining plant operations for improved sustainability. Cooling systems are an essential part of several process industries in which cooling operations are frequently impaired by the deposition of impurities in water. In this paper, a superstructure-based optimization framework along with various objective functions is used to analyze the interaction among freshwater requirement, scaling potential, and water flow within the water network. The goal is to evolve and understand the characteristics of an operation strategy that ensures a sustainable water network. Deposition of calcium carbonate is a major challenge in cooling system networks. The Langelier Saturation Index (LSI) (Roberge, P. R. Corrosion Inspection and Monitoring; Wiley Online Library, 2007) is used to estimate the scaling potential of calcium carbonate in the cooling network. An objective function termed avg. LSI (average LSI) which is a weighted sum of LSIs of the water streams emerging out of cooling systems (blowdown water) is introduced to measure the scaling potential of the water network. It was observed that achieving these objectives simultaneously presents an opportunity for innovation and strategic planning of operations in the cooling water network. The results of this study highlight the interdependency between the freshwater requirement, avg. LSI, and total water flow (that determines the pumping costs) within the network. The characteristics of such networks are also presented in this work. The application of this approach to a representative cooling water network from the steel industry is presented to demonstrate the efficacy and utility of the proposed approach.

Abstract Image

工业用水系统可持续性的资产价值和运营成本优化:一家钢铁厂的案例研究
可持续工业化和有效的水管理是联合国可持续发展议程的关键目标之一。这些目标可以通过采用节水技术、优化资源利用和改进工厂操作以提高可持续性来实现。冷却系统是几个过程工业的重要组成部分,在这些过程工业中,冷却操作经常受到水中杂质沉积的损害。本文采用基于上部结构的优化框架,结合多种目标函数,分析了水网内淡水需要量、结垢势和水流量三者之间的相互作用。目标是发展和理解确保可持续供水网络的运营策略的特点。碳酸钙的沉积是冷却系统网络的主要挑战。Langelier饱和指数(LSI) (Roberge, p.r.腐蚀检查和监测;Wiley在线图书馆,2007)用于估计冷却网络中碳酸钙的结垢潜力。一个称为平均LSI(平均LSI)的目标函数是冷却水(排污水)中出现的水流LSI的加权和,用于测量水网的结垢潜力。有人指出,实现这些目标同时为冷却水网的业务提供了创新和战略规划的机会。本研究的结果强调了网络内淡水需求、平均LSI和总水流量(决定抽水成本)之间的相互依赖性。这种网络的特点也提出了这项工作。将该方法应用于一个具有代表性的钢铁工业冷却水网络,以证明该方法的有效性和实用性。
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来源期刊
Industrial & Engineering Chemistry Research
Industrial & Engineering Chemistry Research 工程技术-工程:化工
CiteScore
7.40
自引率
7.10%
发文量
1467
审稿时长
2.8 months
期刊介绍: ndustrial & Engineering Chemistry, with variations in title and format, has been published since 1909 by the American Chemical Society. Industrial & Engineering Chemistry Research is a weekly publication that reports industrial and academic research in the broad fields of applied chemistry and chemical engineering with special focus on fundamentals, processes, and products.
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