{"title":"Optimization of injection costs for water distribution systems under double-sided fuzziness","authors":"Xin Huang, Yumin Wang","doi":"10.1080/1573062X.2023.2184702","DOIUrl":null,"url":null,"abstract":"ABSTRACT Booster disinfectant can help control the growth of microorganism in water distribution systems (WDS). To minimize the booster costs under uncertainty, a double-sided fuzziness chance-constrained programming (DFCCP) model was proposed and applied to two cases. The fuzzy nodal response coefficients were obtained by water quality simulation performed by EPANET simulator with consideration of uncertain parameters. The results indicated that the booster costs increased with the confidence level under both maximum and minimum reliability scenarios. Moreover, the booster costs under maximum reliability are greater than those under minimum reliability. In addition, under minimum reliability the booster costs decreased with the uncertainty level for two cases, while under maximum reliability the booster costs increased or decreased with the uncertainty level, which depends on the variation of nodes with minimum response coefficient. The results obtained can help managers make decisions in a complex consideration of costs and risks.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"513 - 520"},"PeriodicalIF":1.6000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Water Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1573062X.2023.2184702","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Booster disinfectant can help control the growth of microorganism in water distribution systems (WDS). To minimize the booster costs under uncertainty, a double-sided fuzziness chance-constrained programming (DFCCP) model was proposed and applied to two cases. The fuzzy nodal response coefficients were obtained by water quality simulation performed by EPANET simulator with consideration of uncertain parameters. The results indicated that the booster costs increased with the confidence level under both maximum and minimum reliability scenarios. Moreover, the booster costs under maximum reliability are greater than those under minimum reliability. In addition, under minimum reliability the booster costs decreased with the uncertainty level for two cases, while under maximum reliability the booster costs increased or decreased with the uncertainty level, which depends on the variation of nodes with minimum response coefficient. The results obtained can help managers make decisions in a complex consideration of costs and risks.
期刊介绍：
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...
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