In this paper, the gas microturbine cycle is optimized in dual power and heat generation mode. This optimization includes optimizing the energy efficiency and exergy of the cycle as well as optimizing the price of electricity generated based on exergy-economic analysis and taking into account the effects of environmental pollution. The fuel used in the microturbine system is natural gas. To perform this optimization, first a thermodynamic modeling was performed for the mentioned cycle and then using the bee algorithm, the optimal point for system performance was determined by the code written in MATLAB software. The results of this study showed that using the bee algorithm, the best value of the objective function obtained for the mentioned cycle was obtained in the air-to-fuel ratio of 1.32, at which point the energy efficiency is 40.53%, the efficiency of the second law is 81.80%, the amount of entropy production was 0.0578 kW/K and the final amount of electricity consumption was 0.0733 kWh. Also, if the thermal resistance of microturbine blades can be increased, the efficiency can be increased up to 15% compared to the case with temperature limitation.

中文翻译：

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通过蜜蜂算法进行经济、火用和环境分析，优化燃气微型涡轮机的电热双发电循环

本文对燃气微型燃气轮机循环在发电和供热双模式下进行了优化。这种优化包括优化循环的能源效率和火用，以及基于火用经济分析并考虑环境污染的影响来优化发电价格。微型涡轮机系统使用的燃料是天然气。为了执行此优化，首先对上述循环进行热力学建模，然后使用蜜蜂算法，通过 MATLAB 软件编写的代码确定系统性能的最佳点。研究结果表明，采用bee算法，在空燃比为1.32时获得了该循环的目标函数最佳值，此时能量效率为40.53%，效率为第二定律为81.80%，熵产量为0.0578kW/K，最终耗电量为0.0733kWh。此外，如果能够提高微型涡轮机叶片的热阻，与有温度限制的情况相比，效率可提高高达15%。