An advanced nonlinear switched heat exchanger model for vapor compression cycles using the moving-boundary method

McKinley, Thomas L.; Alleyne, Andrew G.

doi:10.1016/j.ijrefrig.2008.01.012

Cited by 139 publications

(70 citation statements)

References 11 publications

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“…These results support the possibility of dividing the system into parts, and this was provided by the literature (ZHAO; ZAHEERUDDIN, 2005;MACKINLEY;ALLEYNE, 2008;LI;. The model proved the first order approximation with time delay between the input variables (F(s) e C(s)) and output variables (Te(s), Tc(s)).…”

Section: Resultssupporting

confidence: 86%

“…Several scientific papers (CUEVAS; LEBRUN, 2009;EKREN;SAHIN;ISLER., 2010;YOU, 2008;MENEGHETTI et al, 2010;QURESHI;TASSOU, 1996) show the benefits of this type of control which increases performance and decreases power consumption.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies use numerical models based on partial differential equations for the conservation of mass and energy, dividing the system into control volumes (COSTA; LEAL; CARMO JÚNIOR, 2004;LI;MACKINLEY;ALLEYNE, 2008;NOGUEIRA;ZÜRN, 2005;ZHAO;ZAHEERUDDIN, 2005), obtaining important results for the simulation of the transient in cooling systems. Pirozzi and Amendola (2005) applied simulation to explore the rapid cooling of strawberries with forced air, validating the model with experiments, obtaining results that reinforce the importance of numerical models.…”

Section: Introductionmentioning

confidence: 99%

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A Mathematical model for the cold storage of agricultural products

Meneghetti¹,

Tizzei²,

Cappelli³

et al. 2013

Rev. Ciênc. Agron.

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-Studies of control strategies for refrigeration systems observe, among other variables, the dynamic behavior of temperature and the consumption of electrical energy. Aiming to contribute to these studies, this work presents the proposal and validation of a mathematical model for the cooling system of a cold-storage unit. The model approximates the dynamics and interdependence of the variables, to first-order systems with time delay and the summation of effects. The input variables available are the frequency of compressor activation and the thermal load imposed on the unit, and as output variables, the air temperature both at the evaporator inlet and at the centre of the chamber, as well as the electrical power consumed by the compressor. The results obtained were satisfactory, with an error of less than 0.11 °C for the air temperature at the evaporator inlet, of less than 0.09 °C for the temperature at the centre of the chamber, and of less than 1% for the electrical energy consumed.Key words: Variable rotation. Simulation. Agricultural products-storage. Electrical energy-consumption.RESUMO -Os estudos de estratégias de controle para sistemas de refrigeração observam, entre outras variáveis, o comportamento dinâmico da temperatura e da energia elétrica consumida. Com o objetivo de contribuir com estes estudos, o presente trabalho apresenta a proposta e a validação de um modelo matemático do sistema de refrigeração de uma câmara fria. O modelo aproxima a dinâmica e a interdependência das variáveis a sistemas de primeira ordem com tempo de atraso e somatória de efeitos. Como variáveis de entrada tem-se a frequência de acionamento do compressor e a carga térmica imposta à câmara e como variáveis de saída as temperaturas do ar na entrada do evaporador e no centro da câmara, bem como a potência elétrica consumida pelo compressor. Os resultados obtidos foram satisfatórios, com erro menor que 0,11 °C para a temperatura do ar na entrada do evaporador, menor que 0,09 ºC para a temperatura do ar no centro da câmara e menor que 1% para energia elétrica consumida.Palavras-chave: Rotação variável. Simulação. Produtos agrícolas-armazenamento. Energia elétrica-consumo.

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Section: Resultssupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Mathematical model for the cold storage of agricultural products

Meneghetti¹,

Tizzei²,

Cappelli³

et al. 2013

Rev. Ciênc. Agron.

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“…The faster speed makes it the method of choice for control purposes (McKinley and Alleyne 2008). This increased speed is significant, especially when controlling a system for energy efficiency.…”

Section: Methods Descriptionmentioning

confidence: 99%

“…For example, if a zone within the heat exchanger becomes zero in length, the governing equation set will become singular which will cause the simulation to fail. Because of this, the applicability of the initial approach of the model can often be considered as both limited and incomplete (McKinley and Alleyne 2008). Singularities most likely occur during the system start-up and shut-down as well as extreme and sudden changes to operating conditions, which does not often occur during typical operation.…”

Section: Model Concernsmentioning

confidence: 99%

Parameter Estimation for HVAC System Models From Standard Test Data

Luthman

Gardner

2016

Volume 6B: Energy

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Nearly all cooling systems, and an increasing proportion of heating systems, utilize the vapor compression cycle (VCC) to provide and remove heat from conditioned spaces. Even though the application of VCC’s throughout the built environment is ubiquitous, effective and accessible models of the performance of these systems remains elusive. Such models could be important tools for equipment and building designers, and building energy managers and those who are attempting to optimize building energy performance through the use of model-based control systems. A quasi-steady state, spreadsheet-based model has been developed which requires knowledge of 10 system-specific parameters. A method utilizing manufacturer’s test conditions to derive these values is presented. The model is applied to three commercially available units and a subset of test conditions is used to identify the model parameters. The model is validated over the entire range of conditions with modeling errors ranging from 2 to 4%.

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Hazard Analysis of Fixed‐Tube‐Sheet Shell‐and‐Tube Heat Exchangers

Rößler

Krumova

Gewald

et al. 2022

Chemie Ingenieur Technik

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Fixed-tube-sheet shell-and-tube heat exchangers (FTHEs) are widely used in process plants to enhance energy efficiency and to control temperature levels of unit operations. Even moderate temperature differences between shell and tube bundle of FTHEs can lead to failure mechanisms induced by thermal stress. To avoid equipment failure, design codes require an analysis of the transient response of an FTHE during special operating conditions. This work presents a modularhierarchical approach for the dynamic simulation of FTHEs, which is applied to special operating scenarios such as a loss of tube-side flow, a shell-side steaming-out (cleaning procedure to remove hydrocarbon residues with steam) and a reactor trip (sudden stop of exothermic reaction).

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An advanced nonlinear switched heat exchanger model for vapor compression cycles using the moving-boundary method

Cited by 139 publications

References 11 publications

A Mathematical model for the cold storage of agricultural products

A Mathematical model for the cold storage of agricultural products

Parameter Estimation for HVAC System Models From Standard Test Data

Hazard Analysis of Fixed‐Tube‐Sheet Shell‐and‐Tube Heat Exchangers

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