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

A thermodynamic steady-state model for a single-effect lithium bromide–water (LiBr-H2O)-based vapor absorption refrigeration system of 17.5[Formula: see text]kW capacities has been presented using the first and second laws of thermodynamics. The mass, energy and exergy balance equations in each component of the vapor absorption cycle have been fitted into a computer program to carry out the calculation using the thermo-physical properties of the working fluid. The performance parameters such as coefficient of performance (COP), exergy coefficient of performance (ECOP), total exergy destruction (TED), etc. have been evaluated considering different temperatures in generator and evaporator, different LiBr concentrations in the weak and strong LiBr-H2O solution and different solution heat exchanger effectiveness. The model evaluated the optimum performance parameters like COP, ECOP, TED, etc. of the vapor absorption system by using Design Expert-12 software for an application like on-farm cooling or transit storage of fruits and vegetables.

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Analysis of adiabatic heat and mass transfer of microporous hydrophobic hollow fiber membrane-based generator in vapor absorption refrigeration system

Journal of Membrane Science ◽

10.1016/j.memsci.2018.07.048 ◽

2018 ◽

Vol 564 ◽

pp. 415-427 ◽

Cited By ~ 9

Author(s):

Sung Joo Hong ◽

Eiji Hihara ◽

Chaobin Dang

Keyword(s):

Mass Transfer ◽

Heat And Mass Transfer ◽

Hollow Fiber ◽

Hollow Fiber Membrane ◽

Absorption Refrigeration ◽

Refrigeration System ◽

Fiber Membrane ◽

Vapor Absorption ◽

Absorption Refrigeration System ◽

Vapor Absorption Refrigeration

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Estimation of Operating Parameters of a Water–LiBr Vapor Absorption Refrigeration System Through Inverse Analysis

Journal of Energy Resources Technology ◽

10.1115/1.4031833 ◽

2015 ◽

Vol 138 (2) ◽

Cited By ~ 11

Author(s):

T. K. Gogoi

Keyword(s):

Objective Function ◽

Inverse Analysis ◽

Exergy Efficiency ◽

Operating Parameters ◽

Absorption Refrigeration ◽

Refrigeration System ◽

Short Period ◽

Vapor Absorption ◽

Absorption Refrigeration System ◽

Vapor Absorption Refrigeration

In this paper, an inverse problem is solved for estimating parameters of a steam-driven water–lithium bromide (LiBr) vapor absorption refrigeration system (VARS) using a differential evolution (DE)-based inverse approach. Initially, a forward model simulates the steady-state performance of the VARS at various operating temperatures and evaporator cooling loads (CLs). A DE-based inverse analysis is then performed to estimate the operating parameters taking VARS coefficient of performance (COP), CL, total irreversibility, and exergy efficiency as objective functions (one objective function at a time). DE-based inverse technique estimates the parameters within a very short period of elapsed time. Over 50 and 100 numbers of generations are sufficient for retrieval of COP and exergy efficiency, respectively, while it requires 150 generations for total irreversibility and CL. The study reveals that multiple combinations of parameters within a given range satisfy a particular objective function which serves as design guidelines in selecting appropriate operating parameters.

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