Improved thermodynamic property fields of LiBr–H 2 O solution

Chua, Hui Tong; Toh, H. K.; Malek, Abdul; Ng, Kim Choon; Srinivasan, Kandadai

doi:10.1016/s0140-7007(99)00076-6

Cited by 112 publications

(38 citation statements)

References 12 publications

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“…The pattern set for training the artificial neural network is shown in table 1. Input range for temperature is between 10 to190 O C and for vapour quality is 5 to 75 [9].The back propagation learning algorithm with single hidden layer is used in feed forward mode .The algorithm use logistic sigmoidal transfer function as activation function for both hidden and output layer [11]. As the sigmoidal transfer function posses property of asymptotic limits so it is desirable to normalize all input and output data with largest and smallest values of each data pattern.…”

Section: Architecture Of Neural Networkmentioning

confidence: 99%

“…After studying these papers we have reached the conclusion that ANN's is a better technique to solve this problem [7]. Hence author has exercised to model or optimize the neural network for specific heat of LiBr-H 2 O used in vapour absorption refrigeration system [8] and absorption chillers [9]. Improved properties of LiBr-H 2 O working fluid in absorption chillers is evaluated by H.T.…”

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confidence: 99%

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Modeling of Artificial Neural Network for Predicting Specific Heat capacity of working fluid LiBr-H2O used in Vapor Absorption Refrigeration System

Singh¹,

Maheshwari

2011

Int. J. Onl. Eng.

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Abstract-The objective of this work is to model an artificial neural network (ANN) to predict the value of specific heat capacity of working fluid LiBr-H 2 O used in vapour absorption refrigeration systems. A feed forward back propagation algorithm is used for the network, which is most popular for ANN. The consistence between experimental and ANN's approach result was achieved by a mean relative error -0.00573, sum of the squares due to error0.00321, coefficient of multiple determination R-square 0.99961and root mean square error 0.01573 for test data. These results had been achieved in Matlab environment and the use of derived equations in any programmable language for deriving the specific heat capacity of LiBr-H 2 O solution.

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Section: Architecture Of Neural Networkmentioning

confidence: 99%

mentioning

confidence: 99%

Modeling of Artificial Neural Network for Predicting Specific Heat capacity of working fluid LiBr-H2O used in Vapor Absorption Refrigeration System

Singh¹,

Maheshwari

2011

Int. J. Onl. Eng.

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“…The enthalpy and entropy values of LiBr =H 2 O solution are taken from Chua et al [13]. The various heat transfer rates are expressed as follows.…”

Section: Thermodynamic Analysismentioning

confidence: 99%

“…A sample calculation is given for [T G1 ¼ 1608C; 0 ; e, e 0 ; f, i, j, k, l, m, n) are found out by using a p-t-x chart of Chua et al [13] …”

Section: Appendix Amentioning

confidence: 99%

Exergy analysis of double effect vapor absorption refrigeration system

Khaliq

Kumar

2008

Int. J. Energy Res.

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SUMMARYEnergy and exergy analyses previously performed by the authors for a single effect absorption refrigeration system have been extended to double effect vapor absorption refrigeration system with the expectation of reducing energy supply as well as an interest in the diversification of the motive power employed by HVAC technologies. The total exergy destruction in the system as a percentage of the exergy input from a generator heating water over a range of operating temperatures is examined for a system operating on LiBr-H 2 O solution. The exergy destruction in each component, the coefficient of performance (COP) and the exergetic COP of the system are determined. It is shown that exergy destructions occur significantly in generators, absorbers, evaporator2 and heat exchangers while the exergy destructions in condenser1, evaporator1, throttling valves, and expansion valves are relatively smaller within the range of 1-5%. The results further indicate that with an increase in the generator1 temperature the COP and ECOP increase, but there is a significant reduction in total exergy destruction of the system for the same. On the other hand, the COP and ECOP decrease with an increase in the absorber1 temperature while the total exergy destruction of the system increases significantly with a small increase in the absorber1 temperature. The results show that the exergy method can be used as an effective criterion in designing an irreversible double effect absorption refrigeration system and may be a good tool for the determination of the optimum working conditions of such systems.

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“…Due to these advantages, many researches have been conducted focusing on the performance improvement of this kind of new air-conditioning modes, including physical properties of liquid desiccant [7,8], heat and mass transfer characteristics between air and liquid desiccant [2][3][4][9][10][11][12][13][14][15][16][17], various air-handling processes andmanufacture of liquid desiccant air-conditioning devices [1,6,[18][19][20][21][22][23], and liquid desiccant device-based air-conditioning systems [6,19,20,24]. A ten-year continuing research has been performed in Tsinghua University in this regard and some valuable results have been obtained.…”

Section: Introductionmentioning

confidence: 99%

Research progress in liquid desiccant air-conditioning devices and systems

Liu

Jiang

Liu

2009

Front. Energy Power Eng. China

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The developments on liquid desiccant airconditioning systems were illustrated and summarized in this paper. In order to obtain a better dehumidification (or humidification) performance, liquid desiccant should be cooled (or heated) rather than air. Two fundamental modules were proposed, including basic spray module with extra heat exchanger and total heat recovery device, which could be combined to set up various kinds of liquid desiccant air processors. The operating principle of heat pump-driven outdoor air processor as well as heat-driven outdoor air processor was analyzed. The COP air of the heat pump (or power)-driven outdoor air processor could be as high as 5.0 both in summer and in winter operating conditions. The COP air of the hot water-driven processor (65°C-80°C) was 1.19 and 0.93, respectively, using evaporative indoor exhaust air or cooling water to cool the dehumidification process. The liquid desiccant air processor-based temperature and humidity-independent control air-conditioning system could save 20%-30% operating energy compared with the conventional airconditioning system.

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Improved thermodynamic property fields of LiBr–H 2 O solution

Cited by 112 publications

References 12 publications

Modeling of Artificial Neural Network for Predicting Specific Heat capacity of working fluid LiBr-H2O used in Vapor Absorption Refrigeration System

Modeling of Artificial Neural Network for Predicting Specific Heat capacity of working fluid LiBr-H2O used in Vapor Absorption Refrigeration System

Exergy analysis of double effect vapor absorption refrigeration system

Research progress in liquid desiccant air-conditioning devices and systems

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