Due to the harmful effects and depletion of non-renewable energy resources, the major concerns are focused on using renewable energy resources. Among them, the geothermal energy has a high potential in volcano regions such as the Middle East. The optimization of an organic Rankine cycle with a geothermal heat source is investigated based on a genetic algorithm having two stages. In the first stage, the optimal variables are the depth of the well and the extraction flow rate of the geothermal fluid mass. The optimal value of the depth of the well, extraction mass flow rate, and the geothermal fluid temperature is found to be 2100 m, 15 kg/s, and 150 °C. In the second stage, the efficiency and output power of the power plant are optimized. To achieve maximum output power as well as cycle efficiency, the optimization variable is the maximum organic fluid pressure in the high-temperature heat exchanger. The optimum values of energy efficiency and cycle power production are equal to 0.433 MW and 14.1%, respectively.

中文翻译：

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基于遗传算法的两阶段地热电厂热力学优化

由于不可再生能源的有害影响和枯竭，主要的关注点集中在使用可再生能源上。其中，地热能在中东等火山地区具有很高的潜力。基于具有两个阶段的遗传算法，研究了利用地热热源对有机朗肯循环的优化。在第一阶段，最佳变量是井的深度和地热流体团的提取流速。井深，提取质量流量和地热流体温度的最佳值被发现为2100 m，15 kg / s和150°C。在第二阶段，优化电厂的效率和输出功率。为了达到最大输出功率和循环效率，最优化变量是高温热交换器中的最大有机流体压力。能源效率和循环发电的最佳值分别等于0.433 MW和14.1％。