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
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/204999
Título:
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Analysis of map-based models for reciprocating compressors and optimum selection of rating points
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Otro titulo:
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Analyse de modèles basés sur des abaques pour les compresseurs alternatifs et sélection optimale des points d évaluation
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Autor:
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Marchante-Avellaneda, Javier
Navarro-Peris, Emilio
Corberan, J.M.
Shrestha, Som S.
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Entidad UPV:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
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Fecha difusión:
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Resumen:
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[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 ...[+]
[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.
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Palabras clave:
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AHRI polynomials
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Heat pumps
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Empirical models
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Reciprocating compressors
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Energy consumption
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Mass flow rate
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Polynômes AHRI
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Pompes à chaleur
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Modèles empiriques
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Compresseurs alternatifs
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Consommation énergétique
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Débit massique
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Derechos de uso:
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Reconocimiento (by)
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Fuente:
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International Journal of Refrigeration. (issn:
0140-7007
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DOI:
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10.1016/j.ijrefrig.2023.06.002
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Editorial:
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Elsevier
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Versión del editor:
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https://doi.org/10.1016/j.ijrefrig.2023.06.002
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Código del Proyecto:
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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)/
info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//PID2020-115665RB-I00//DESCARBONIZACION DE EDIFICIOS E INDUSTRIAS CON SISTEMAS HIBRIDOS DE BOMBA DE CALOR/
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Agradecimientos:
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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: ...[+]
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.
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Tipo:
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Artículo
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