Suribabu Conety Ravi, Neelakantan Thurvas Renganathan, Sivakumar Perumal, D. Paez
{"title":"Analysis of water distribution network under pressure-deficient conditions through emitter setting","authors":"Suribabu Conety Ravi, Neelakantan Thurvas Renganathan, Sivakumar Perumal, D. Paez","doi":"10.5194/DWES-12-1-2019","DOIUrl":null,"url":null,"abstract":"Abstract. Pressure-driven analysis (PDA) of water distribution networks necessitates\nan assessment of the supplying capacity of a network within the minimum and required\npressure ranges. Pressure-deficient conditions happen due to the uncertainty\nof nodal demands, failure of electromechanical components, diversion of\nwater, aging of pipes, permanent increase in the demand at certain supply\nnodes, fire demand, etc. As the demand-driven analysis (DDA) solves the\ngoverning equations without any bound on pressure head, it fails to replicate\nthe real scenario, particularly when the network experiences pressure-deficient situations. Numerous researchers formulated different\nhead–discharge relations and used them iteratively with demand-driven\nsoftware, while some other approaches solve them by incorporating this\nrelation within the analysis algorithms. Several attempts have been made by\nadding fictitious network elements like reservoirs, check valves (CVs), flow\ncontrol valves (FCVs), emitters, dummy nodes and pipes of negligible length (i.e.,\nnegligible pressure loss) to assess the supplying capability of a network\nunder pressure-deficient conditions using demand-driven simulation software.\nThis paper illustrates a simple way of assessing the supplying capacity of\ndemand nodes (DNs) under pressure-deficient conditions by assigning the respective\nemitter coefficient only for those nodes facing a pressure-deficit condition.\nThe proposed method is tested with three benchmark networks, and it is able\nto simulate the network without addition of any fictitious network elements\nor changing the source code of the software like EPANET. Though the proposed\napproach is an iterative one, the computational burden of adding artificial\nelements in the other methods is avoided and is hence useful for analyzing large\nnetworks.\n","PeriodicalId":53581,"journal":{"name":"Drinking Water Engineering and Science","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drinking Water Engineering and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/DWES-12-1-2019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 14
Abstract
Abstract. Pressure-driven analysis (PDA) of water distribution networks necessitates
an assessment of the supplying capacity of a network within the minimum and required
pressure ranges. Pressure-deficient conditions happen due to the uncertainty
of nodal demands, failure of electromechanical components, diversion of
water, aging of pipes, permanent increase in the demand at certain supply
nodes, fire demand, etc. As the demand-driven analysis (DDA) solves the
governing equations without any bound on pressure head, it fails to replicate
the real scenario, particularly when the network experiences pressure-deficient situations. Numerous researchers formulated different
head–discharge relations and used them iteratively with demand-driven
software, while some other approaches solve them by incorporating this
relation within the analysis algorithms. Several attempts have been made by
adding fictitious network elements like reservoirs, check valves (CVs), flow
control valves (FCVs), emitters, dummy nodes and pipes of negligible length (i.e.,
negligible pressure loss) to assess the supplying capability of a network
under pressure-deficient conditions using demand-driven simulation software.
This paper illustrates a simple way of assessing the supplying capacity of
demand nodes (DNs) under pressure-deficient conditions by assigning the respective
emitter coefficient only for those nodes facing a pressure-deficit condition.
The proposed method is tested with three benchmark networks, and it is able
to simulate the network without addition of any fictitious network elements
or changing the source code of the software like EPANET. Though the proposed
approach is an iterative one, the computational burden of adding artificial
elements in the other methods is avoided and is hence useful for analyzing large
networks.