Study on the effect of refrigerant distributing nonuniformity on the performance of falling-film evaporator with liquid recirculation system

Li, Yinglin; Wang, Ke; Wu, W.; Xia, Xueying; Niu, Baolian; Zhang, Zhongbin

doi:10.1016/j.ijrefrig.2017.05.032

Cited by 15 publications

(2 citation statements)

References 15 publications

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“…Additional baffles in an open system produce more pressure drop than in a closed system (Wang et al., 2017). These additional baffles help to restrict the movement of liquid refrigerant particles with vapor moment to suction in the distributor (Jin et al., 2019; Li et al., 2017; Shih et al., 2017).…”

Section: Resultsmentioning

confidence: 99%

Experimental investigation on the effect of liquid phase and vapor phase separation over performance of falling film evaporator

Anjankar

Lakade

Padalkar

et al. 2022

Environmental Quality Mgmt

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Energy, cost, and environmental concerns play a vital role in understanding governing parameters of distributor design in falling film evaporators. Distributor design is a hidden parameter in many experimental papers. The uniform distribution of liquid refrigerant over the tube bundle mostly depends on two‐phase liquid refrigerant and vapor refrigerant. This work conducted experiments with two distribution systems with and without separation of liquid‐vapor refrigerant after expansion valve for the same evaporator capacity with R134a as a refrigerant. Results reveal that; separating vapor refrigerant has a positive impact on the approach of the evaporator with an open system distributor arrangement. The highest delta T and lowest practice are found at a heat flux of 13.97 kW/m2 with an available system distributor compared to a closed system with a heat flux of 14.25 kW/m2. The open system arrangement in the distributor is the novel parameter for distributor design, ensuring uniform distribution with minimum pressure drop and dry suction. An open system distributor has an average 16.1% capacity increase over a closed system. The experimental analysis helps to understand different parameters for the design of distributors in falling film evaporators for uniform distribution.

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Section: Resultsmentioning

confidence: 99%

Experimental investigation on the effect of liquid phase and vapor phase separation over performance of falling film evaporator

Anjankar

Lakade

Padalkar

et al. 2022

Environmental Quality Mgmt

View full text Add to dashboard Cite

show abstract

“…Under the condition of close coordination of key components such as the evaporator, capillary [13], condenser, and compressor, the amount of refrigerant has a substantial influence on the entire refrigeration system [14]. With too much or too little refrigerant, the refrigerant cannot be freely converted [15], the internal pressure will be unbalanced, efficiency of the system will be reduced, and energy consumption will increase, resulting in poor refrigeration [16,17]. erefore, it is highly important to precisely control the amount of refrigerant, and this necessitates accurate analysis of the system data [18,19].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Prediction of Refrigerant Amounts Based on Internet of Things

et al. 2020

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In a refrigeration unit, the amount of refrigerant has a substantial influence on the entire refrigeration system. To predict the amount of refrigerant in refrigerators with the best performance, this study used refrigerator data collected in real time via the Internet of ings, which were screened to include only the effective parameters related to the compressor and refrigeration properties (based on their practical significance and the research background) and cleaned by applying longitudinal dimensionality reduction and transverse dimensionality reduction. en, on the basis of an idealized model for refrigerator data, a model of the relationships between refrigerant amount (the dependent variable) and temperature variation, refrigerator compartment temperature, freezer temperature, and other relevant parameters (independent variables) was established. A refrigeration model based on a neural network was then established for predicting the amount of refrigerant and was used to predict five unknown amounts of refrigerant from data sets. BP neural network and RBF neural network models were used to compare the prediction results and analyze the loss functions. From the results, it was concluded that the unknown amount of refrigerant was most likely to be 32.5 g. It is of great practical significance for refrigerator production and maintenance to study the prediction of the amount of refrigerant remaining in a refrigerator.

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Modeling and simulation of a falling film evaporator for a water vapor heat pump system

Yan

Wang

2019

Applied Energy

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Study on the effect of refrigerant distributing nonuniformity on the performance of falling-film evaporator with liquid recirculation system

Cited by 15 publications

References 15 publications

Experimental investigation on the effect of liquid phase and vapor phase separation over performance of falling film evaporator

Experimental investigation on the effect of liquid phase and vapor phase separation over performance of falling film evaporator

Intelligent Prediction of Refrigerant Amounts Based on Internet of Things

Modeling and simulation of a falling film evaporator for a water vapor heat pump system

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