Articles producció científica> Enginyeria Mecànica

Experimental investigations and modelling of a small capacity diffusion-absorption refrigerator in dynamic mode

  • Identification data

    Identifier: imarina:5131203
    Authors:
    Mansouri, RamiBourouis, MahmoudBellagi, Ahmed
    Abstract:
    This paper reports on the experimental investigations in a non-steady state mode of a small capacity commercial diffusion-absorption refrigerator (DAR) and the development of a dynamic black-box model for the machine. For these investigations, the refrigerator was equipped with the appropriate metrology. Temperature time variations of the refrigerated room and of the ambient conditions were measured, monitored, and stored using a data acquisition unit connected to a computer. A standardized experimental procedure was used to determine the overall heat conductance of the refrigerated room: A value of (UA)cab(UA)cab = 0.554 W K−1 was found. The time evolution of the cooling capacity for different driving heat inputs to the refrigerator was investigated. Based on the experimental data, a dynamic black-box model was developed using the Matlab identification package to correlate the power input to the generator and the cooling capacity of the refrigerator. A first order transfer function with a delay was found to describe quite accurately the time evolution of the cooling capacity for all considered heat rates supplied to the generator. In a further step, regressed analytical expressions of the transfer function parameters, as a function of the generator heat supply, were incorporated into the cooling capacity function. A generalized dynamic black-box model for the DAR system was thus obtained and was then validated using the Matlab Simulink® environment. The predictions made by the model were found to be well in agreement with the experimental data. In particular, the predictions for COPCOP under steady state conditions agreed satisfactorily with the experimental data yielding a maximum relative deviation of about 8%.
  • Others:

    Author, as appears in the article.: Mansouri, Rami; Bourouis, Mahmoud; Bellagi, Ahmed
    Department: Enginyeria Mecànica
    URV's Author/s: Bourouis Chebata, Mahmoud
    Keywords: Matlab simulink® Dynamic modelling Diffusion-absorption refrigeration
    Abstract: This paper reports on the experimental investigations in a non-steady state mode of a small capacity commercial diffusion-absorption refrigerator (DAR) and the development of a dynamic black-box model for the machine. For these investigations, the refrigerator was equipped with the appropriate metrology. Temperature time variations of the refrigerated room and of the ambient conditions were measured, monitored, and stored using a data acquisition unit connected to a computer. A standardized experimental procedure was used to determine the overall heat conductance of the refrigerated room: A value of (UA)cab(UA)cab = 0.554 W K−1 was found. The time evolution of the cooling capacity for different driving heat inputs to the refrigerator was investigated. Based on the experimental data, a dynamic black-box model was developed using the Matlab identification package to correlate the power input to the generator and the cooling capacity of the refrigerator. A first order transfer function with a delay was found to describe quite accurately the time evolution of the cooling capacity for all considered heat rates supplied to the generator. In a further step, regressed analytical expressions of the transfer function parameters, as a function of the generator heat supply, were incorporated into the cooling capacity function. A generalized dynamic black-box model for the DAR system was thus obtained and was then validated using the Matlab Simulink® environment. The predictions made by the model were found to be well in agreement with the experimental data. In particular, the predictions for COPCOP under steady state conditions agreed satisfactorily with the experimental data yielding a maximum relative deviation of about 8%.
    Thematic Areas: Thermodynamics Química Medicina iii Mechanics Mechanical engineering Materiais Matemática / probabilidade e estatística Interdisciplinar Industrial and manufacturing engineering Fluid flow and transfer processes Engineering, mechanical Engenharias iv Engenharias iii Engenharias ii Engenharias i Energy engineering and power technology Energy & fuels Ciências biológicas ii Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biodiversidade Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: mahmoud.bourouis@urv.cat
    Author identifier: 0000-0003-2476-5967
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S1359431116332094?via%3Dihub
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Applied Thermal Engineering. 113 653-662
    APA: Mansouri, Rami; Bourouis, Mahmoud; Bellagi, Ahmed (2017). Experimental investigations and modelling of a small capacity diffusion-absorption refrigerator in dynamic mode. Applied Thermal Engineering, 113(), 653-662. DOI: 10.1016/j.applthermaleng.2016.11.078
    Article's DOI: 10.1016/j.applthermaleng.2016.11.078
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2017
    Publication Type: Journal Publications
  • Keywords:

    Energy & Fuels,Energy Engineering and Power Technology,Engineering, Mechanical,Fluid Flow and Transfer Processes,Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics,Thermodynamics
    Matlab simulink®
    Dynamic modelling
    Diffusion-absorption refrigeration
    Thermodynamics
    Química
    Medicina iii
    Mechanics
    Mechanical engineering
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Industrial and manufacturing engineering
    Fluid flow and transfer processes
    Engineering, mechanical
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Energy engineering and power technology
    Energy & fuels
    Ciências biológicas ii
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Biodiversidade
    Astronomia / física
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