Transient heat pump behaviour: a theoretical investigation

Macarthur, J. W.

doi:10.1016/0140-7007(84)90025-2

Cited by 65 publications

(17 citation statements)

References 2 publications

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“…Once the calculation method with the (semi-) empirical parameters for polytropic exponent, mass-flow rate coefficient and motor efficiency are determined, the calculation of the compressor performance becomes explicit and very fast. This kind of compressor model was used in some earlier works by Murphy [8] and MacArthur [9] .…”

Section: Compressor Modelmentioning

confidence: 99%

“…According to the parameter lumped characteristics, dynamic models can be classified into 3 models: single-node model [4][5][6][7][8][9][10][11][12] , multi-node model [96][97][98][99][100] and zone model l [94,95] . But we will not address them here because of limited space.…”

Section: Evaporator and Condenser Modelmentioning

confidence: 99%

“…Many papers [5][6][7][8][9][10][11][12][13] on modeling of refrigeration and air-conditioning appliances were published in the 1980s. Lots of simulation technologies were used to substitute CFCs since the late 1980s [14][15][16][17][18][19][20] .…”

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confidence: 99%

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Simulation technology for refrigeration and air conditioning appliances

Ding

2006

CHINESE SCI BULL

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Simulation technology has been widely used for performance prediction and optimal design of refrigeration and air conditioning appliances. A brief history of simulation technology for refrigeration and air conditioning appliances is reviewed. The models for evaporator, condenser, compressor, capillary tube and thermal insulation layer are summarized, and a fast calculation method for thermodynamic properties of refrigerant is introduced in this paper. The model-based intelligent simulation technology and the simulation technology based on graph theory are also illustrated. Finally, an updated trend of simulation technology development for refrigeration and air conditioning appliances is discussed.The output of refrigeration and air-condition appliances have been increasing rapidly in recent years, especially in China. For example, the annual output of room air conditioners in China is over two thirds of the world total, and the use of air conditioners consumes a lot of electricity, amounting up to 40% of the total electricity consumption in the summer in some cities like Shanghai. Therefore it is an important target to make the design process of refrigeration appliances more efficiently and to improve the product performance. Computer simulation technique is one of valuable means to accomplish this target [1][2][3] .The traditional methods for designing refrigeration and air-conditioning appliances are: to determine the required performance object of a product at first, then to estimate the working conditions, and to calculate the structural parameters at last. This process is very straightforward and quite easy to be understood. But the actual performance of the product might obviously deviate from the required one because there is no accurate model available in the design process. In order to let the products have the desired performance, the processes of developing prototypes, testing their performance and modifying their structures have to be repeated many times, which will increase the cost and delay the completion of the design process.With the computer simulation method, the working conditions and the structural parameters of the product are given, and then the performance is predicted. After predicting the product performance by simulation, the configuration parameters of the product can be evaluated easily. In order to get a group of suitable configuration parameters of the product, the original parameters should be adjusted according to the simulated results, and simulation with the adjusted structural parameters will be done again. The process of modifying the parameters and simulating with modified parameters will be repeated many times until a set of the most suitable parameters is obtained. Such a computation process is an optimization process, which can be implemented by adding some optimization programs or directly operated by users based on their experience. In order to obtain a perfect optimization result quickly, the initial parameters should not be far away from the optimal ones. It is recomme...

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Section: Compressor Modelmentioning

confidence: 99%

Section: Evaporator and Condenser Modelmentioning

confidence: 99%

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Simulation technology for refrigeration and air conditioning appliances

Ding

2006

CHINESE SCI BULL

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“…Dynamic simulation is widely used in vapor compression systems such as heat pumps [1][2][3] , liquid chillers [4][5][6] and refrigerators [7][8][9][10][11][12][13] . The main advantages of the simulations include better understanding of the system and component's dynamic behavior, and the ability to test ideas without performing experiments.…”

Section: Introductionmentioning

confidence: 99%

Dynamic simulation and performance investigation of no-frost refrigerator: Part I mathematical model

Su¹,

Chen²,

Zhi-jiu³

et al. 2009

J. Shanghai Jiaotong Univ. (Sci.)

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A dynamic approach for the modeling, simulation and analysis of no-frost Refrigerator (RF) is discussed. In Part I, the complex interactions among the components in the cooling system are analyzed in detail, based on which the modeling simplifications are proposed. Then, the mathematical models for the evaporator, cabinet and duct-fan are presented. The whole system is divided into two subsystems-refrigerant cycling system and air cycling system. In order to simplify the model, two closed-loop systems are broken into the compressor component and the evaporator component, respectively. A general distributed parameter model is employed for evaporator with homogeneous flow to simplify the two-phase evaporating flow region. The z-transfer function model is used to describe the cabinet load. Computational fluid dynamics (CFD) method is employed to obtain the pressure drop and flow rate curve of the duct-fan model. Nomenclature a, ai-Coefficient of the equations A-Area, m 2 b, bi-Coefficient of the equations cp-Specific heat capacity at constant pressure, J/(kg·K) C-Thermal capacity, J/K D-Diameter, m h-Specific enthalpy, J/kg L-Length or thickness, m p-Pressure, Pa qm-Mass flow rate, kg/s Q-Heat transfer rate, W T -Temperature, K u-Velocity, m/s V -Volume, m 3 x-Average mass quality α-Heat convection coefficient, W/(m 2 .K) β-Thermal leakage factor, W/(m.K) η-Length along the air flow direction, m θ-Temperature, ℃ μ-Dynamic viscosity, kg/(m·s) ξ-Length along the tube, m

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“…MacArthur used a distributed formulation for modeling these systems and presented simulation results in [24]. Later these models were compared to experimental data [25].…”

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

118

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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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Transient heat pump behaviour: a theoretical investigation

Cited by 65 publications

References 2 publications

Simulation technology for refrigeration and air conditioning appliances

Simulation technology for refrigeration and air conditioning appliances

Dynamic simulation and performance investigation of no-frost refrigerator: Part I mathematical model

Control-Oriented Modeling of Transcritical Vapor Compression Systems

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