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dc.contributor.authorMaldonado, José Miguel
dc.contributor.authorGracia Cuesta, Alvaro de
dc.contributor.authorZsembinszki, Gabriel
dc.contributor.authorMoreno Argilés, Pere
dc.contributor.authorAlbets Chico, Xavier
dc.contributor.authorGonzález, Miguel Ángel
dc.contributor.authorCabeza, Luisa F.
dc.date.accessioned2019-12-12T07:58:05Z
dc.date.issued2020
dc.identifier.issn0140-7007
dc.identifier.urihttp://hdl.handle.net/10459.1/67708
dc.description.abstractTo preserve food nutrients, texture, and taste, as well as to prevent its putrefaction, food is frozen and kept at around −20 °C. Refrigerators and freezers are highly energy demand systems which can suf- fer a considerable decrease in operational efficiency due to frost growth on the evaporator. Defrost pro- cesses are launched periodically to avoid the frost built-up, consuming a relevant part of the total energy demand. To control the defrost launching and to improve the energy performance of the refrigeration system an accurate measurement of the frost level is required. Many frost detecting methods are expen- sive, not feasible due to their size, or simply they cannot measure the frost stacking precisely enough to swerve mal-defrost phenomena. This study provides an accurate parameter to indirectly estimate the frost layer built-up on the evaporator. The new parameter called thermal variation easiness (TVE) was experimentally tested and validated by comparison with another frost leveling method, T method, on a walk-in freezer unit. Then the TVE was successfully tested on a multi-cold room refrigeration system, proving its applicability on both walk-in freezers run by remote condensing units and multiple cold rooms fed by a rack of compressors. The novelty of this parameter lays on its capacity to work on refrigeration facilities which are used to feed several walk-in fridges and refrigerated displays in big installations, such as supermarkets.
dc.description.sponsorshipThis work was partially funded by the Spanish government through CDTI project with reference code IDI-20160143. José Miguel Maldonado would like to thank the Spanish Government for his research fellowship (BES-2016-076554). The project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 712949 (TECNIOspring PLUS) and from the Agency for Business Competitiveness of the Government of Catalonia. Pere Moreno would like to thank Ministerio de Economía y Competitividad de España for Grant Torres Quevedo, PTQ-15-08025. GREA is certified agent TECNIO in the category of technology developers from the Government of Catalonia. The authors would like to thank the Catalan Government for the quality accreditation given to their research group (2017 SGR 1537). This work is partially supported by ICREA under the ICREA Academia programme.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.ijrefrig.2019.10.023
dc.relation.ispartofInternational Journal of Refrigeration, 2020, vol. 110, p. 75-82
dc.rightscc-by-nc-nd (c) Elsevier, 2019
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCompression refrigeration system
dc.subjectDefrost cycle
dc.subjectFrost detection
dc.subjectCooling
dc.subjectSystème frigorifique à compression
dc.subjectCycle de dégivrage
dc.subjectDétection de givre
dc.subjectRefroidissement
dc.titleFrost detection method on evaporator in vapour compression systems
dc.title.alternativeMéthode de détection du givre sur l’évaporateur dans les systèmes à compression de vapeur
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2019-12-12T07:58:05Z
dc.identifier.idgrec029305
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess
dc.identifier.doihttps://doi.org/10.1016/j.ijrefrig.2019.10.023
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/712949/EU/TECNIOspring PLUS
dc.date.embargoEndDate2021-10-28


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cc-by-nc-nd (c) Elsevier, 2019
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Elsevier, 2019