Energy enhancement and utilization of renewable energy sources have become inevitable solutions for the concerns of fossil fuel depletion and global warming. Two different cogeneration systems are proposed for cooling and power generation. A gas turbine and an ejector refrigeration cycle are employed in the configurations, in which gas turbine cycle uses biogas as the required fuel. First, these two configurations are analyzed from energy and exergy perspectives. A comprehensive parametric study is also performed by decision variables for the optimization. Results reveal that both energy and exergy efficiencies of conventional combined gas turbine/ejector refrigeration cycle can be improved up to 44.6% and 33.54%, respectively. Besides, the outcomes of the parametric study point out that the combustion chamber has a significant effect on energy and exergy efficiencies and can increased them about 10%. Also, it is found that the vapor generator accounts for the highest exergy destruction among all components. Moreover, by using a genetic algorithm as an optimization method, the thermal and exergetic efficiencies of the base system improves. In the best operating condition, the thermal and exergetic efficiencies of the system reach 57.11% and 36.68%, respectively.

能源增强和可再生能源的利用已成为解决化石燃料枯竭和全球变暖问题的必然选择。提出了两种不同的热电联产系统用于冷却和发电。在这些配置中采用了燃气轮机和喷射器制冷循环，其中燃气轮机循环使用沼气作为所需的燃料。首先，从能量和火用的角度分析这两种配置。还通过用于优化的决策变量进行全面的参数研究。结果表明，传统燃气轮机/喷射器组合式制冷循环的能量和火用效率分别可提高44.6%和33.54%。除了，参数研究的结果指出，燃烧室对能量和火用效率有显着影响，可以将它们提高约 10%。此外，还发现蒸汽发生器在所有组件中的火用破坏最高。此外，通过使用遗传算法作为优化方法，提高了基础系统的热效率和火用效率。在最佳运行条件下，系统的热效率和火用效率分别达到57.11%和36.68%。