An approximate model of a multilayer wire-on-tube condenser operating with R134a and R600a: Experimental validation and parametric analysis

Belman-Flores, J.M.; Heredia-Aricapa, Y.; Pabón, Juan José García; Gallegos-Muñoz, Armando; Serrano-Arellano, J.; Pérez-Reguera, C. Gutiérrez

doi:10.1016/j.csite.2021.100927

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…In Figure 2, the scheme of the model used as a reference for the optimization analysis is presented and was validated with stationary experimental data obtained with a real refrigerator. This model was developed in a previous study [25], in which the ε-NTU thermal analysis method and empirical correlations were used, considered as input variables the geometric parameters (Table 1) and the operating conditions of the condenser, as shown in Table 2. The thermal capacity, the air outlet temperature, and the refrigerant outlet temperature were obtained as outputs.…”

Section: Multilayer Wire-on-tube Condensermentioning

confidence: 99%

“…Considering the maximization of the heat transfer and the minimization of the exchanger area, a multiple set of optimal solutions, known as Pareto optimal solutions, are obtained. According to the model developed for the wire-on-tube condenser [25], the two objective functions that were defined in this work are shown in Equations ( 2) and (3). The total heat transfer of the condenser, .…”

Section: Proposed Objective Functionsmentioning

confidence: 99%

“…In this work, different operating conditions were evaluated for the thermal behavior of the wire-on-tube condenser, which is mounted in a domestic refrigerator [25].…”

Section: Proposed Objective Functionsmentioning

confidence: 99%

“…To substantiate the use of the OMOPSO algorithm in this work and under the conditions of the model [25], Table 3 presents a summary of the statistical comparison, through the Tukey HSD pairwise test, among the algorithms presented in Figure 3, which was a specific case for the heat transfer surface. In the first column, the evaluated refrigerant was defined, and in the second column, a grouping of algorithms was proposed for their respective comparisons.…”

Section: Analysis Of the Optimization Algorithmmentioning

confidence: 99%

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Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A

et al. 2022

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This study presents the optimization of a multilayer wire-on-tube condenser exposed to forced convection, using the Optimized Multi-objective Particle Swarm Optimization (OMOPSO) algorithm. The maximization of the heat transfer and the minimization of the heat exchange area were defined as objective functions. In the optimization process, the variations of eight geometric parameters of the condenser were analyzed, and the Multi-objective Evolutionary Algorithm based on Decomposition (MOEAD), Non-dominated Sorting Genetic Algorithm-II (NSGAII), and OMOPSO algorithms were statistically explored. Furthermore, the condenser optimization analysis was extended to the use of alternative refrigerants to R134a such as R600a and R513A. Among the relevant results, it can be commented that the OMOPSO algorithm presented the best option from the statistical point of view compared to the other two algorithms. Thus, optimal designs for the wire-on-tube condenser were defined for three proposed study cases and for each refrigerant, providing an overview of compact designs. Likewise, the reduction of the condenser area was analyzed in more detail, presenting a maximum reduction of 15% for the use of R134a compared to for the current design. Finally, the crossflow condition was studied with respect to the current one, concluding in a greater heat transfer and a smaller heat exchange surface.

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Section: Multilayer Wire-on-tube Condensermentioning

confidence: 99%

Section: Proposed Objective Functionsmentioning

confidence: 99%

“…In this work, different operating conditions were evaluated for the thermal behavior of the wire-on-tube condenser, which is mounted in a domestic refrigerator [25].…”

Section: Proposed Objective Functionsmentioning

confidence: 99%

Section: Analysis Of the Optimization Algorithmmentioning

confidence: 99%

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Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A

et al. 2022

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“…Por otro lado, el condensador se suele modelar con balances energéticos (Purohit et al, 2017), incluyendo el proceso de transferencia de calor con un modelo de tres zonas (Belman-Flores et al, 2021;Cuevas et al, 2009), un modelo de cuatro zonas (Ge and Cropper, 2005), y un modelo con zonas discretizadas (Ge and Cropper, 2009). En el caso del gas cooler, algunos lo modelan empleando balances de energía (Sooben et al, 2019), otros utilizan un modelo de una zona , y otros usan un modelo de zonas discretizadas Martínez-Ballester et al, 2013).…”

Section: Aproximaciones Empleadasunclassified

Modelación de sistemas de refrigeración basados en R744 (CO2) para supermercados en Chile.

Cuevas Barraza,

Blanco Machín

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La presente investigación se basa en la necesidad de Chile de incluir soluciones rentables y amigables ambientalmente ante los refrigerantes empleados (R404A) en sistemas de refrigeración para supermercados. Como solución, se presentan los sistemas transcríticos con R744 que presentan bajos desempeños a temperaturas ambientes por encima de 15°C. Dada la variabilidad climática de Chile, una adecuada evaluación es necesaria. Este estudio tiene como objetivo evaluar varios sistemas transcríticos para sustituir los sistemas convencionales de expansión directa (DXS-R404A) en 18 ciudades representativas de cada región de Chile, a través de un análisis multidimensional (energético, ambiental y económico), basado en la modelación robusta de sistemas. El estudio considera un supermercado mediano con 2,500 m2 de área de ventas con una demanda de refrigeración de 140 kW y 40 kW en los evaporadores de media (MT) y baja temperatura (LT), respectivamente. Tomando como referencia el sistema convencional con R404A (DXS), se proponen los siguientes sistemas transcríticos: Booster (BB); Booster en Paralelo (BP); BP con evaporadores MT sobrealimentados (Ov) (BP+MT-Ov); BP con Multi-eyectores (BP+ME+MT-Ov); y BP con Multi-eyectores y ambos evaporadores MT y LT sobrealimentados (BP+ME+MT-Ov+LT Ov). Cada sistema es evaluado mediante la integración de los modelos de cada equipo, donde los equipos críticos son evaluados con modelos semi-empíricos y los no críticos mediante modelos termodinámicos. Como aporte científico, se modificaron y crearon modelos semi-empíricos basado en principios físicos para los compresores a pistón y scroll, gas cooler/condensador, y multi eyectores, complementado con un sistema de control para estos. Se descubre la mejor forma de modelar el condensador con R744 en 3 zonas discretizando la zona sobrecalentada en 8 subzonas, mientras que el gas cooler es discretizado con un modelo de 4 zonas, delimitadas por los cambios en las propiedades termo-físicas del refrigerante. El modelo del sistema Booster es validado con 2.4% de error en el COP, logrando reducir los errores de los modelos termodinámicos existentes en 3.5%. Se revela que en Chile, los sistemas transcríticos reducen el consumo anual del sistema convencional en un: 5% (BB), 8% (BP), 15% (BP+MT-Ov), 20% (BP+ME+MT-Ov) y 21% (BP+ME+MT-Ov+LT-Ov), acompañadas de reducciones ambientales del DXS en un 77% y un 86%. Sin embargo, comparado con el DXS, con el sistema BB y BP nunca se logra recuperar la inversión inicial, mientras que con los sistemas BP+MT-Ov, BP+ME+MT-Ov y BP+ME+MT-Ov+LT Ov, la inversión se recupera en 7.4, 7.4 y 6.7 años, respectivamente. No se cumple la hipótesis inicial dado que no se encontraron sistemas transcríticos con un período de recuperación de inversión menores a 3 años. Pero si se considera un tiempo menos optimista, de 8 años, se identifican las siguientes soluciones: desde Magallanes hasta Ñuble, el sistema BP+MT-Ov; entre el Maule y Coquimbo, el BP+ME+MT-Ov; desde Atacama hasta Arica y Parinacota, el BP+ME+MT-Ov+LT-Ov. Con el análisis exergoeconómico, se identificaron las posibles mejoras para reducir los elevados costos exergoeconómicos de los sistemas transcríticos: adquirir los compresores a un menor precio, mejorar el diseño del gas cooler/condensador, aumentar el rendimiento de los eyectores y aumentar la temperatura de evaporación de los evaporadores.

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An improved approach to model compressors, condenser/gas cooler and their control system in refrigeration systems with R404A and R744 based on physical principles

Suárez

Vega

Cuevas

et al. 2023

International Journal of Refrigeration

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An approximate model of a multilayer wire-on-tube condenser operating with R134a and R600a: Experimental validation and parametric analysis

Cited by 5 publications

References 18 publications

Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A

Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A

Modelación de sistemas de refrigeración basados en R744 (CO2) para supermercados en Chile.

An improved approach to model compressors, condenser/gas cooler and their control system in refrigeration systems with R404A and R744 based on physical principles

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