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Statistical analysis of design variables in a chiller plant and their influence on energy consumption and life cycle cost

dc.rights.licenseAtribución 4.0 Internacional (CC BY 4.0)spa
dc.contributor.authordiaz torres, yamile
dc.contributor.authorGullo, Paride
dc.contributor.authorHernández Herrera, Hernán
dc.contributor.authorTorres del Toro, Migdalia
dc.contributor.authorÁlvarez Guerra, Mario A.
dc.contributor.authorSilva Ortega, Jorge I
dc.contributor.authorSpeerforck, Arne
dc.date.accessioned2023-01-30T14:33:39Z
dc.date.available2023-01-30T14:33:39Z
dc.date.issued2022-08-16
dc.identifier.citation: Torres, Y.D.; Gullo, P.; Herrera, H.H.; Torres del Toro, M.; Guerra, M.A.Á.; Ortega, J.I.S.; Speerforck, A. Statistical Analysis of Design Variables in a Chiller Plant and Their Influence on Energy Consumption and Life Cycle Cost. Sustainability 2022, 14, 10175. https://doi.org/10.3390/su141610175spa
dc.identifier.urihttps://hdl.handle.net/11323/9841
dc.description.abstractAn appropriate design of a chiller plant is crucial to guarantee highly performing solutions. However, several design variables, such as type of systems, total cooling capacity, and hydraulic arrangement, need to be considered. On the one hand, at present, different technical criteria for selecting the most suitable design variables are available. Studies that corroborate the influence of the design variables over the operational variables are missing. In order to fill this knowledge gap, this work proposes a statistical analysis of design variables in chiller plants operating in medium- and large-scale applications and evaluates their influence on energy consumption and life cycle cost (LCC) under the same thermal demand conditions. A case study involving 138 chiller plant combinations featuring different arrangements and a Cuban hotel was selected. The results suggested that the total chiller design and cooling capacity distribution among chillers have a significant influence on the energy consumption of the chiller plant with a Spearman’s Rho and Kendall Tau (τ) correlation index value of −0.625 and 0.559, respectively. However, with LCC, only the cooling capacity distribution among the chillers had a certain influence with a Kendall Tau correlation index value of 0.289. As for the considered total cooling capacity, the applied statistical test showed that this design variable does not have any influence on performing the chiller plant.eng
dc.format.extent19 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherMDPI AGspa
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland.eng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/spa
dc.sourcehttps://www.mdpi.com/2071-1050/14/16/10175spa
dc.titleStatistical analysis of design variables in a chiller plant and their influence on energy consumption and life cycle costeng
dc.typeArtículo de revistaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doi10.3390/su141610175
dc.identifier.eissn2071-1050spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.publisher.placeSwitzerlandspa
dc.relation.ispartofjournalSustainabilityspa
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dc.subject.proposalChillereng
dc.subject.proposalDesign variableseng
dc.subject.proposalEnergy savingeng
dc.subject.proposalLife cycle costeng
dc.subject.proposalPearson’s correlationeng
dc.subject.proposalSpearman’s correlationeng
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