4 publications
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Energy and Exergy Analysis of Ammonia Water Operated Vapour Absorption Refrigeration System Using Artificial Neural Network ApproachBy Dheerendra Vikram Singh, Govind Maheshwari
Abstract: In this study, energy and exergy analysis have been performed of the ammonia-water operated vapour absorption refrigeration (VAR) system. Authors have trained artificial neural network (ANN) for predicting thermodynamic properties (specific enthalpy and specific entropy) of working fluid (ammonia-water). Authors have achieved coefficient of multiple determination (R2) value 0.9999 and the root mean square error (RMSE) value 0.00211 for input data set of saturated liquid and R2 value 0.999999 and …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 2, Issue 1, 2015 · pp. 7–20 Read article →
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Thermodynamic design data of ammonia-sodium thiocyanate absorption heat pump systems simultaneous cooling and heating using ANN approach.By Dheerendra Vikram Singh, Govind Maheshwari
Abstract: The aim of this study is to train neural network which predict thermodynamic design data without involving role of thermodynamic properties, temperature concentration complex relationship and formula of coefficient of performance. Authors have presented values of weights and bias obtained from the trained ANN through which one can formulate mathematical equations for predicting thermodynamic design data. Authors have achieved coefficient of multiple determinations R2 as 0.99999, 0.99997 and 0.99953 for …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 30–36 Read article →
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Thermodynamic Design Data of NH3-LiNO3 Absorption Heat Pump Systems for Simultaneous Cooling and Heating using ANN ApproachBy Dheerendra Vikram Singh, Govind Maheshwari, Manoj Modi
Abstract: The aim of this study is to train neural network which predicts thermodynamic design data without involving role of thermodynamic properties, temperature concentration complex relationship and formula of coefficient of performance. Authors have presented values of weights and bias obtained from the trained ANN through which one can formulate mathematical equations for predicting thermodynamic design data. Authors have achieved coefficient of multiple determinations R2 as 1, 1, 0.99999 for solution …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 1, Issue 2, 2014 · pp. 7–13 Read article →
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Evaluation of Coefficient of Performance of Water– Carrol Vapor Absorption Refrigeration System Using Artificial Neural Network approachBy Dheerendra Vikram Singh, Govind Maheshwari
Abstract: Normal 0 false false false EN-US X-NONE X-NONE The aim of this work is to apply expert system methods, like artificial neural network (ANN), for evaluating the coefficient of performance (COP) of water-carrol (lithium bromide-ethylene glycol)-based vapor absorption refrigeration system. Theoretical performance analysis of vapor absorption refrigeration system is too complex since very tedious second-order mathematical differential equations are used. In order to simplify this complex process, artificial neural networks …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 3, 2012 · pp. 29–37 Read article →