Computing thermodynamic properties of ammonia–water mixtures using artificial neural networks

Goyal, Anurag; Garimella, Srinivas

doi:10.1016/j.ijrefrig.2019.02.011

Title: Computing thermodynamic properties of ammonia–water mixtures using artificial neural networks

Authors:

;

Publication Date:: Mon Apr 01 00:00:00 EDT 2019

Sponsoring Org.:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

OSTI Identifier:: 1636769

Grant/Contract Number:: AR0000842

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: International Journal of Refrigeration

Additional Journal Information:: Journal Name: International Journal of Refrigeration Journal Volume: 100 Journal Issue: C; Journal ID: ISSN 0140-7007

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Goyal, Anurag, and Garimella, Srinivas. Computing thermodynamic properties of ammonia–water mixtures using artificial neural networks.  United Kingdom: N. p., 2019. 
Web.  doi:10.1016/j.ijrefrig.2019.02.011.

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                    Goyal, Anurag, & Garimella, Srinivas. Computing thermodynamic properties of ammonia–water mixtures using artificial neural networks.  United Kingdom.  https://doi.org/10.1016/j.ijrefrig.2019.02.011

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                    Goyal, Anurag, and Garimella, Srinivas. Mon .  
"Computing thermodynamic properties of ammonia–water mixtures using artificial neural networks".  United Kingdom.  https://doi.org/10.1016/j.ijrefrig.2019.02.011.

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@article{osti_1636769,

  title        = {Computing thermodynamic properties of ammonia–water mixtures using artificial neural networks},

  author       = {Goyal, Anurag and Garimella, Srinivas},

  abstractNote = {},

  doi          = {10.1016/j.ijrefrig.2019.02.011},

  journal      = {International Journal of Refrigeration},

  number       = C,

  volume       = 100,

  place        = {United Kingdom},

  year         = {Mon Apr 01 00:00:00 EDT 2019},

  month        = {Mon Apr 01 00:00:00 EDT 2019}

}

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Title: Computing thermodynamic properties of ammonia–water mixtures using artificial neural networks

Citation Formats

Optimization of district heating system aided by geothermal heat pump: A novel multistage with multilevel ANN modelling journal, January 2017

Power generation from medium temperature geothermal resources: ANN-based optimization of Kalina cycle system-34 journal, May 2011

ANN-based Determination of Optimum Working Conditions of Residential Combustors with Respect to Optimum Insulation journal, November 2014

ALGORITHM 659: implementing Sobol's quasirandom sequence generator journal, March 1988

Development and demonstration of a compact ammonia–water absorption heat pump prototype with microscale features for space-conditioning applications journal, June 2016

Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks journal, October 2007

Computational investigations of low-discrepancy sequences journal, June 1997

Fault and sensor error diagnostic strategies for a vapor compression refrigeration system by using fuzzy inference systems and artificial neural network journal, February 2015

An introduction to computing with neural nets journal, January 1987

Prediction of vapor–liquid equilibrium data for ternary systems using artificial neural networks journal, June 2007

Simple functions for fast calculations of selected thermodynamic properties of the ammonia-water system journal, May 1995

Artificial neural networks as a predictive tool for vapor-liquid equilibrium journal, January 1994

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A new approach using artificial neural networks for determination of the thermodynamic properties of fluid couples journal, September 2005

Prediction of thermophysical properties of mixed refrigerants using artificial neural network journal, February 2011

Potential applications of artificial neural networks to thermodynamics: vapor–liquid equilibrium predictions journal, February 1999

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Investigation of thermodynamic properties of refrigerant/absorbent couples using artificial neural networks journal, October 2004

A review of absorption refrigeration technologies journal, December 2001

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Optimization of geothermal energy aided absorption refrigeration system—GAARS: A novel ANN-based approach journal, January 2017

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Optimization of district heating system aided by geothermal heat pump: A novel multistage with multilevel ANN modelling
journal, January 2017

Power generation from medium temperature geothermal resources: ANN-based optimization of Kalina cycle system-34
journal, May 2011

ANN-based Determination of Optimum Working Conditions of Residential Combustors with Respect to Optimum Insulation
journal, November 2014

ALGORITHM 659: implementing Sobol's quasirandom sequence generator
journal, March 1988

Development and demonstration of a compact ammonia–water absorption heat pump prototype with microscale features for space-conditioning applications
journal, June 2016

Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks
journal, October 2007

Computational investigations of low-discrepancy sequences
journal, June 1997

Fault and sensor error diagnostic strategies for a vapor compression refrigeration system by using fuzzy inference systems and artificial neural network
journal, February 2015

An introduction to computing with neural nets
journal, January 1987

Prediction of vapor–liquid equilibrium data for ternary systems using artificial neural networks
journal, June 2007

Simple functions for fast calculations of selected thermodynamic properties of the ammonia-water system
journal, May 1995

Artificial neural networks as a predictive tool for vapor-liquid equilibrium
journal, January 1994

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journal, February 2016

Modeling of thermodynamic properties of refrigerant/absorbent couples using data mining process
journal, February 2007

A new approach using artificial neural networks for determination of the thermodynamic properties of fluid couples
journal, September 2005

Prediction of thermophysical properties of mixed refrigerants using artificial neural network
journal, February 2011

Potential applications of artificial neural networks to thermodynamics: vapor–liquid equilibrium predictions
journal, February 1999

Equilibrium constants from a modified Redlich-Kwong equation of state
journal, June 1972

Formulation based on artificial neural network of thermodynamic properties of ozone friendly refrigerant/absorbent couples
journal, August 2005

Investigation of thermodynamic properties of refrigerant/absorbent couples using artificial neural networks
journal, October 2004

A review of absorption refrigeration technologies
journal, December 2001

Survey and Assessment of Available Measurements on Thermodynamic Properties of the Mixture {Water+Ammonia}
journal, January 1998

Optimization of geothermal energy aided absorption refrigeration system—GAARS: A novel ANN-based approach
journal, January 2017

Prediction of vapor–liquid equilibrium for binary systems containing HFEs by using artificial neural network
journal, June 2002

Equation of state for ammonia-water mixtures
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