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<p>To illustrate the complex heat flows within a lithium bromide (LiBr) water cooling system, this paper presents a thorough mathematical model for the system. The system's primary components are the generator, condenser, absorber, and evaporator. LiBr concentration percentages are determined using the concentrations of weak and strong solutions. The weak solution is heated in the generator, producing water vapor and a strong solution. The performance measure that shows the effectiveness of the system is the coefficient of performance (COP), which has been computed by using Python programming. This model incorporates enthalpy estimates for a variety of LiBr concentrations and temperature ranges, making it possible to precisely and thoroughly assess the system's heat transfer processes. The performance coefficient of the system has been evaluated across different temperatures for the evaporator, absorber, generator, condenser, and the heat exchanger effectiveness. The highest COP (0.6529) is observed at generator temperature of 70&#xa0;°C and the heat exchanger efficiency and generator temperature have the most effects on COP. Optimizing generator temperature (around 70–75&#xa0;°C) and heat exchanger effectiveness (above 0.8) is crucial for maximizing COP.</p>

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Thermodynamic Analysis of the Performance of Lithium Bromide-Water Absorption Cooling System

  • 期刊论文

  • 发表日期：

    2025年12月27日

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  • Samir Chakravarti,
  • Misba Mondal,
  • Shubrajyoti Acharjee,
  • Irfan Habib

摘要

To illustrate the complex heat flows within a lithium bromide (LiBr) water cooling system, this paper presents a thorough mathematical model for the system. The system's primary components are the generator, condenser, absorber, and evaporator. LiBr concentration percentages are determined using the concentrations of weak and strong solutions. The weak solution is heated in the generator, producing water vapor and a strong solution. The performance measure that shows the effectiveness of the system is the coefficient of performance (COP), which has been computed by using Python programming. This model incorporates enthalpy estimates for a variety of LiBr concentrations and temperature ranges, making it possible to precisely and thoroughly assess the system's heat transfer processes. The performance coefficient of the system has been evaluated across different temperatures for the evaporator, absorber, generator, condenser, and the heat exchanger effectiveness. The highest COP (0.6529) is observed at generator temperature of 70 °C and the heat exchanger efficiency and generator temperature have the most effects on COP. Optimizing generator temperature (around 70–75 °C) and heat exchanger effectiveness (above 0.8) is crucial for maximizing COP.