A simulation model of the transient performance of a heat pump

Chi, Jinling; Didion, David

doi:10.1016/0140-7007(82)90099-8

Cited by 121 publications

(33 citation statements)

References 2 publications

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“…This ueaunentto large ex<ent makes the model workable, whiCh othcrw<.c would take unacceptable computauon time. 4) The heal transfer coefficient in the two-phase flow region can locally be calculated accordmg to the local vapour quality.…”

Section: Discussionmentioning

confidence: 99%

Distributed and non-steady-state modelling of an air cooler

Wang

Touber

1991

International Journal of Refrigeration

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Section: Discussionmentioning

confidence: 99%

Distributed and non-steady-state modelling of an air cooler

Wang

Touber

1991

International Journal of Refrigeration

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“…This model is included in a group known as phase-dependent moving formulation. There are several models included in that group, Chi and Didion (1982), Sami et al (1987), Deng (2000). Five years later in 1984, MacArthur (1984 presented a heat pump dynamic model.…”

Section: Introductionmentioning

confidence: 98%

A dynamic mathematical model of a shell-and-tube evaporator. validation with pure and blend refrigerants

Llopis¹,

Cabello²,

Navarro-Esbrí³

et al. 2007

Int. J. Energy Res.

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SUMMARYThis work presents a mathematical model of a shell-and-tube evaporator based on mass continuity, energy conservation and heat transfer physical fundamentals. The model is formulated as a control volume combination that represents the different refrigerant states along the evaporator. Since the model is based on refrigerant and secondary fluid states prediction, it can be easily adapted for modelling any type of evaporator. The strategy of working with physical fundamentals allows the steady-and dynamic-state analysis of any of its performance variables. The paper presents a steady-state validation made with two pure refrigerants (HCFC-22, HFC-134a) and with a zeotropic blend (HFC-407C), and a dynamic validation with transient experimental tests using HCFC-22. The model prediction error is lower than 5% and it is well in accordance with actual dynamic behaviour.

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“…The two fluid phases are assumed to exchange mass internally and heat externally. Chi and Didion also present a dynamic model of a complete vapor compression cycle using a moving boundary, lumped parameter formulation [10].…”

Section: Modeling Of Vapor Compression Systemsmentioning

confidence: 99%

Control-Oriented Modeling of Transcritical Vapor Compression Systems

Rasmussen

Alleyne

2004

Journal of Dynamic Systems, Measurement, and Control

114

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This thesis details the efforts to develop a dynamic model of a transcritical vapor compression system suitable for multivariable control design purposes. The modeling approach is described and the developed models are validated with experimental data. The models are nonlinear, independent of fluid type, and based on first principles. Linearized versions of the nonlinear models are presented. Analysis of the linearized models and empirical models created using system identification techniques suggest that lower order models are adequate for the prediction of dominant system dynamics. Singular perturbation techniques are used to justify model reduction.Based on the reduced order models, the dominant dynamics of these systems are identified and described in terms of physical phenomena. Although all results presented are for a transcritical vapor compression cycle with carbon dioxide as the working fluid, the methodology and results can be extended to both subcritical and transcritical systems.iv

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A simulation model of the transient performance of a heat pump

Cited by 121 publications

References 2 publications

Distributed and non-steady-state modelling of an air cooler

Distributed and non-steady-state modelling of an air cooler

A dynamic mathematical model of a shell-and-tube evaporator. validation with pure and blend refrigerants

Control-Oriented Modeling of Transcritical Vapor Compression Systems

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