This study is aimed to conduct energy, exergy and economic analysis on a network of single-effect absorption chillers. First, the network was analyzed parametrically and then optimized to minimize exergy destruction and annual cost. Multi-objective optimization was performed by implementing a particle swarm optimization algorithm. The case study was conducted on the absorption chiller network in Iranian Marun Petrochemical Company. The results indicated the greatest effects of the solution heat exchanger efficiency and network inlet cooling water temperature on energy and exergy performance coefficients and annual cost. Accordingly, decreasing the network inlet cooling water temperature from 35 to 25 °C increased energy and exergy performance coefficients by 5.3 and 6.2%, respectively, and reduced annual cost by $70,000.00. Besides, increasing solution heat exchanger efficiency from 60 to 80% increased energy and exergy performance coefficients by 5.9 and 2.1%, respectively, and decreased the annual cost by $60,000.00. According to the optimization results, the economic function of the network saved 9.95%, so that if the network works in optimized thermodynamics and economic conditions, the cost decreases by 3.24% compared to the typical manner.

这项研究旨在对单效吸收式制冷机网络进行能源，火用和经济分析。首先，对网络进行参数分析，然后进行优化以最大程度地减少火用破坏和年度成本。通过实现粒子群优化算法来执行多目标优化。案例研究是在伊朗Marun石化公司的吸收式制冷机网络上进行的。结果表明溶液热交换器效率和网络入口冷却水温度对能量和火用性能系数以及年成本的最大影响。因此，将网络入口冷却水温度从35°C降低到25°C，能量和火用性能系数分别增加5.3％和6.2％，每年的成本降低了$ 70,000.00。除了，将解决方案换热器效率从60％提高到80％，分别将能源和火用性能系数提高5.9和2.1％，并将年度成本降低60,000.00美元。根据优化结果，该网络的经济功能节省了9.95％，因此，如果网络在优化的热力学和经济条件下运行，则成本比典型方式降低了3.24％。