Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4573
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dc.contributor.authorDíaz 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 Iván-
dc.contributor.authorSpeerforck, Arne-
dc.date.accessioned2022-08-30T09:31:38Z-
dc.date.available2022-08-30T09:31:38Z-
dc.date.issued2022-08-
dc.identifierdoi: 10.3390/su141610175-
dc.identifier.citationSustainability 14 (16): 10175 (2022-08)de_DE
dc.identifier.issn2071-1050de_DE
dc.identifier.urihttp://hdl.handle.net/11420/13520-
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&rsquo;s Rho and Kendall Tau (<i>&tau;</i>) correlation index value of &minus;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.-
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.en
dc.description.sponsorshipStudy center of energy and environmentde_DE
dc.description.sponsorshipCienfuegos Tourismde_DE
dc.language.isoende_DE
dc.publisherMultidisciplinary Digital Publishing Institutede_DE
dc.relation.ispartofSustainabilityde_DE
dc.rightsCC BY 4.0de_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de_DE
dc.subjectchillerde_DE
dc.subjectdesign variablesde_DE
dc.subjectenergy savingde_DE
dc.subjectlife cycle costde_DE
dc.subjectPearson’s correlationde_DE
dc.subjectSpearman’s correlationde_DE
dc.subject.ddc530: Physikde_DE
dc.titleStatistical analysis of design variables in a chiller plant and their influence on energy consumption and life cycle costde_DE
dc.typeArticlede_DE
dc.date.updated2022-08-25T11:17:45Z-
dc.identifier.doi10.15480/882.4573-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.0195356-
tuhh.oai.showtruede_DE
tuhh.abstract.englishAn 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.de_DE
tuhh.publisher.doi10.3390/su141610175-
tuhh.publication.instituteTechnische Thermodynamik M-21de_DE
tuhh.identifier.doi10.15480/882.4573-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue16de_DE
tuhh.container.volume14de_DE
dc.rights.nationallicensefalsede_DE
dc.identifier.scopus2-s2.0-85137690927de_DE
tuhh.container.articlenumber10175de_DE
local.status.inpressfalsede_DE
local.type.versionpublishedVersionde_DE
datacite.resourceTypeArticle-
datacite.resourceTypeGeneralJournalArticle-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.mappedtypeArticle-
item.cerifentitytypePublications-
item.creatorGNDDíaz Torres, Yamile-
item.creatorGNDGullo, Paride-
item.creatorGNDHernández Herrera, Hernán-
item.creatorGNDTorres del Toro, Migdalia-
item.creatorGNDÁlvarez Guerra, Mario A.-
item.creatorGNDSilva Ortega, Jorge Iván-
item.creatorGNDSpeerforck, Arne-
item.creatorOrcidDíaz Torres, Yamile-
item.creatorOrcidGullo, Paride-
item.creatorOrcidHernández Herrera, Hernán-
item.creatorOrcidTorres del Toro, Migdalia-
item.creatorOrcidÁlvarez Guerra, Mario A.-
item.creatorOrcidSilva Ortega, Jorge Iván-
item.creatorOrcidSpeerforck, Arne-
crisitem.author.deptTechnische Thermodynamik M-21-
crisitem.author.orcid0000-0001-9256-875X-
crisitem.author.orcid0000-0001-9767-6231-
crisitem.author.parentorgStudiendekanat Maschinenbau-
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