Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46176
Campo DC Valoridioma
dc.contributor.authorFeo, José
dc.contributor.authorJaime Sadhwani, J.
dc.contributor.authorAlvarez, Luis
dc.date.accessioned2018-11-23T02:03:01Z-
dc.date.available2018-11-23T02:03:01Z-
dc.date.issued2013
dc.identifier.issn1944-3994
dc.identifier.urihttp://hdl.handle.net/10553/46176-
dc.description.abstractWe introduce the present article with the intention to define the most efficient production line for reverse osmosis seawater desalination plants. We show the relationship between the cost of desalinated water per cubic meter according to the production capacity, verifying a scale economy as the production rises significantly. The destination of this article is within the reach of small desalination plants in the range between 500 and 15,000 m3/day in the Canary Islands Autonomous Community. Specified range is the most established in the Autonomous Community. Approximately, more than about the 90% of the desalination plants have a production capacity corresponding to the selected range. The methodology used consists of calculating each one of the costs involved in the seawater desalination process, applying actual prices, and obtaining a graphic serial according to prices tolerance, from -5% to a value of +5%. Concerning staff costs, we have recovered data from the iron and steel industrial sector collective agreement of the Autonomous Community. In our article, we present all the elements that directly affect each one of the costs, equations, and formula based on factors affecting each one of them, with actual market prices in the Autonomous Community of Canary Islands, making all calculations and obtaining a family of costs graphics for each one. As an innovative and original article, we present the real costs for small desalination plants, in between the said range. We also present a new cost, to bear in mind, according to current regulations, which is the environmental cost, based, among other things, in solving the problem of brine spills directly into the sea. Cost has been calculated based on the introduction of a new machinery and canalization to reduce the before mentioned environmental impact. Lastly, this article, as a final result, presents the total value of the cost in (sic)/m(3) with the results and graphics for each plant between the before established range in the Canary Islands, obtaining according to them, the most efficient production line. We present the results based on a small fluctuating scale economy. Our article presents costs results in order to be able to select the most convenient production line in each case, based on the production capacity and on the several own factors of each individual cost. The aim of our work is to study the influence of the fouling factor and temperature according to the desired production (500-15,000 m(3)/day) on the cost in (sic)/m(3). Based on it, we study the operational and functional costs searching for the production line with the best efficiency.
dc.publisher1944-3994
dc.relation.ispartofDesalination and Water Treatment
dc.sourceDesalination and Water Treatment[ISSN 1944-3994],v. 51, p. 307-317
dc.subject.otherSeawater Desalination
dc.subject.otherRo Desalination
dc.subject.otherEconomics
dc.subject.otherDesign
dc.subject.otherOptimization
dc.subject.otherSystems
dc.titleMore efficient production line with Desalination plants using reverse osmosis
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.relation.conferenceInternational Conference of the European-Desalination-Society (EDS) on Desalination for the Environment, Clean Water and Energy
dc.identifier.doi10.1080/19443994.2012.713565
dc.identifier.scopus84875802222
dc.identifier.isi000313790300032
dc.contributor.authorscopusid55639616700
dc.contributor.authorscopusid55640295600
dc.contributor.authorscopusid10041008200
dc.contributor.authorscopusid55640159000
dc.description.lastpage317
dc.description.firstpage307
dc.relation.volume51
dc.type2Artículoes
dc.contributor.daisngid10450267
dc.contributor.daisngid11906609
dc.contributor.daisngid478566
dc.contributor.wosstandardWOS:Feo, J
dc.contributor.wosstandardWOS:Sadhwani, JJ
dc.contributor.wosstandardWOS:Alvarez, L
dc.date.coverdateEnero 2013
dc.identifier.conferenceidevents120814
dc.identifier.ulpgces
dc.description.sjr0,409
dc.description.jcr0,987
dc.description.sjrqQ2
dc.description.jcrqQ3
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.event.eventsstartdate23-04-2012-
crisitem.event.eventsenddate26-04-2012-
crisitem.author.deptGIR Energía, Corrosión, Residuos y Agua-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptGIR Energía, Corrosión, Residuos y Agua-
crisitem.author.deptDepartamento de Ingeniería de Procesos-
crisitem.author.deptGIR Modelos Matemáticos-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-5286-9005-
crisitem.author.orcid0000-0002-6816-2271-
crisitem.author.orcid0000-0002-6953-9587-
crisitem.author.parentorgDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.parentorgDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameFeo García, José Juan-
crisitem.author.fullNameSadhwani Alonso, José Jaime-
crisitem.author.fullNameÁlvarez León, Luis Miguel-
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