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Analysis of map-based models for reciprocating compressors and optimum selection of rating points

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Analysis of map-based models for reciprocating compressors and optimum selection of rating points

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dc.contributor.author Marchante-Avellaneda, Javier es_ES
dc.contributor.author Navarro-Peris, Emilio es_ES
dc.contributor.author Corberan, J.M. es_ES
dc.contributor.author Shrestha, Som S. es_ES
dc.date.accessioned 2024-06-11T18:18:53Z
dc.date.available 2024-06-11T18:18:53Z
dc.date.issued 2023-09 es_ES
dc.identifier.issn 0140-7007 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204999
dc.description.abstract [EN] The present work includes an in-depth performance analysis in fixed-speed reciprocating compressors. The industry standard for compressor characterization is the AHRI-540, which uses a 10-term and third-degree polynomial to characterize mass flow rate and energy consumption. However, the suitability of such a high-degree polynomial is unclear, and the potential for overfitting and extrapolation errors cannot be ignored. This work analyzes the response surfaces of mass flow rate and energy consumption in reciprocating compressors to determine if more concise models with lower degrees are more suitable. For that purpose, a massive experimental dataset with multiple compressors using different refrigerant and suction conditions was analyzed to obtain overall conclusions in the compressor field. The results of the present work showed that mass flow rate modeling requires lower-degree polynomials. However, the energy consumption characterization is more complex, and the model reported in the standard may be justified. Additionally, it was found that, if the specific energy consumption is selected as the modeling variable, it is possible to use a compact polynomial expression, which can also be extended to scroll compressors and also has the advantage of reducing the experimental data necessary for the model fit. Finally, by selecting the mass flow rate and the specific energy consumption as response variables, this work also explores other critical issues related to the experimental points¿ location and minimum sample sizes required in order to minimize the experimental costs and increase the model accuracy. es_ES
dc.description.sponsorship The present work has been supported by the project "DESCARBONIZACION DE EDIFICIOS E INDUSTRIAS CON SISTEMAS HIBRIDOS DE BOMBA DE CALOR", funded by the "Ministerio de Ciencia e Innovacion", MCIN, Spain, with code number: PID2020-115665RB-I00 and by the "Ministerio de Educacion, Cultura y Deporte", MECD, Spain, inside the program "Formacion de Profesorado Universitario (FPU15/03476)". This research used resources at the Building Technologies Research and Integration Center, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory of USA. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof International Journal of Refrigeration es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject AHRI polynomials es_ES
dc.subject Heat pumps es_ES
dc.subject Empirical models es_ES
dc.subject Reciprocating compressors es_ES
dc.subject Energy consumption es_ES
dc.subject Mass flow rate es_ES
dc.subject Polynômes AHRI es_ES
dc.subject Pompes à chaleur es_ES
dc.subject Modèles empiriques es_ES
dc.subject Compresseurs alternatifs es_ES
dc.subject Consommation énergétique es_ES
dc.subject Débit massique es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Analysis of map-based models for reciprocating compressors and optimum selection of rating points es_ES
dc.title.alternative Analyse de modèles basés sur des abaques pour les compresseurs alternatifs et sélection optimale des points d évaluation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ijrefrig.2023.06.002 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECYD//FPU15%2F03476//AYUDAS PARA CONTRATOS PREDOCTORALES FPU-MARCHANTE AVELLANEDA, JAVIER (DESARROLLO Y OPTIMIZACION DE UNA BOMBA DE CALOR DUAL GEOTERMIA/AIRE)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//PID2020-115665RB-I00//DESCARBONIZACION DE EDIFICIOS E INDUSTRIAS CON SISTEMAS HIBRIDOS DE BOMBA DE CALOR/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Marchante-Avellaneda, J.; Navarro-Peris, E.; Corberan, J.; Shrestha, SS. (2023). Analysis of map-based models for reciprocating compressors and optimum selection of rating points. International Journal of Refrigeration. 153:168-183. https://doi.org/10.1016/j.ijrefrig.2023.06.002 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ijrefrig.2023.06.002 es_ES
dc.description.upvformatpinicio 168 es_ES
dc.description.upvformatpfin 183 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 153 es_ES
dc.relation.pasarela S\501639 es_ES
dc.contributor.funder MINISTERIO DE EDUCACION es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.subject.ods 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles es_ES
dc.subject.ods 12.- Garantizar las pautas de consumo y de producción sostenibles es_ES


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