{"title":"Smart water network infrastructures","authors":"Hossam A. Gabbar, Sultan Islam, Ahmed Ramadan","doi":"10.2166/wrd.2023.063","DOIUrl":null,"url":null,"abstract":"Abstract This paper presents a solution to convert the conventional water network into a smart water network (SWN). Scenarios are synthesized for water recycling inside buildings with less water consumed, minimizing the overall cost. Multiphysics modelling and simulation are conducted with Hysys and Ansys - Fluent in calculating the water flow quantity, pressure of the water network and velocity of water inside the pipe network. Four scenarios are synthesized and modelled for a selected mall building case study. These scenarios reduce the water consumption in the mall from 100% to 29.4%, with a cost-saving of more than 60%.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":"436 1","pages":"0"},"PeriodicalIF":4.3000,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Reuse","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/wrd.2023.063","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
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Abstract
Abstract This paper presents a solution to convert the conventional water network into a smart water network (SWN). Scenarios are synthesized for water recycling inside buildings with less water consumed, minimizing the overall cost. Multiphysics modelling and simulation are conducted with Hysys and Ansys - Fluent in calculating the water flow quantity, pressure of the water network and velocity of water inside the pipe network. Four scenarios are synthesized and modelled for a selected mall building case study. These scenarios reduce the water consumption in the mall from 100% to 29.4%, with a cost-saving of more than 60%.
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