Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/37195
DC FieldValueLanguage
dc.contributor.authorRuiz-García, A.en_US
dc.contributor.authorFeo-García, J.en_US
dc.contributor.otherRuiz Garcia, Alejandro
dc.date.accessioned2018-05-29T11:36:28Z-
dc.date.available2018-05-29T11:36:28Z-
dc.date.issued2017en_US
dc.identifier.issn1944-3994en_US
dc.identifier.urihttp://hdl.handle.net/10553/37195-
dc.description.abstractThe implementation of seawater reverse osmosis (SWRO) desalination plants was key to ensure the fresh water supply in arid and coastal regions. The high operating and maintenance (O\&M) cost in these plants are an impediment. In this paper, the O\&M cost of twelve SWRO desalination plants located in Fuerteventura (Canary Islands) were analyzed. A mathematical model was elaborated to estimate the O\&M cost. The inputs were the production capacity of the line, recovery, energy consumption and the price per kWh. The specific cost related to the energy consumption is complex to be evaluated because of its dependence on other factors such as energy recovery system, chemical cleaning frequency and electrical energy tariffs. It was observed that the specific cost of the chemicals, cartridge filters, membrane replacement, staff and maintenance decreased with the production and recovery increase in the studied ranges. The model was verified with the data proving to be a good estimator.en_US
dc.languageengen_US
dc.relation.ispartofDesalination and Water Treatmenten_US
dc.sourceDesalination and Water Treatment[ISSN 1944-3994],v. 73, p. 73-79en_US
dc.subject3308 Ingeniería y tecnología del medio ambienteen_US
dc.subject3313 Tecnología e ingeniería mecánicasen_US
dc.subject.otherSeawateren_US
dc.subject.otherReverse osmosisen_US
dc.subject.otherOperating and maintenanceen_US
dc.subject.otherCostsen_US
dc.titleOperating and maintenance cost in seawater reverse osmosis desalination plants. Artificial neural network based modelen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.5004/dwt.2017.20807
dc.identifier.scopus85020166929
dc.identifier.isi000404376700008
dcterms.isPartOfDesalination And Water Treatment
dcterms.sourceDesalination And Water Treatment[ISSN 1944-3994],v. 73, p. 73-79
dc.contributor.authorscopusid55749145800
dc.contributor.authorscopusid56925498900
dc.identifier.eissn1944-3986-
dc.description.lastpage79-
dc.description.firstpage73-
dc.relation.volume73-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000404376700008-
dc.contributor.daisngid2368242
dc.contributor.daisngid5705574
dc.identifier.investigatorRIDM-3697-2014
dc.contributor.wosstandardWOS:Ruiz-Garcia, A
dc.contributor.wosstandardWOS:Feo-Garcia, J
dc.date.coverdateAbril 2017
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptSistemas industriales de eficiciencia, instrumentación y protección-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptSistemas industriales de eficiciencia, instrumentación y protección-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.orcid0000-0002-5209-653X-
crisitem.author.parentorgDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.parentorgDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.fullNameRuiz García, Alejandro-
crisitem.author.fullNameFeo García, José Juan-
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