工程师和科学家对替代化石燃料的清洁能源选择越来越感兴趣,以应对日益增加的环境问题和化石燃料资源的减少。可再生能源的安装有所增加,同时,传统的能量转换系统已经提高了效率。在本文中,对几个基于地热能的多代系统进行了建模,评估,并进行了优化,采用了五种不同配置的有机朗肯循环和质子交换膜电解槽子系统。根据结果,蒸发器质量流量和入口温度,涡轮效率,和入口温度是对系统输出影响最大的参数,即,净输出工作,制氢,能源效率,和成本率。在这项研究中,赞詹市(伊朗)被选为案例研究,并检查了一年中四个季节中环境温度变化的系统能效结果。为了确定目标函数的最佳值,能源效率,和成本率,采用NSGA-II多目标遗传算法,并得出帕累托图。系统的不可逆性和性能通过能量和火用分析来衡量。在最佳状态下,最佳配置可产生0.65%和17.40$/h的能源效率和成本率,分别。
Engineers and scientists are increasingly interested in clean energy options to replace fossil fuels in response to rising environmental concerns and dwindling fossil fuel resources. There has been an increase in the installation of renewable energy resources, and at the same time, conventional energy conversion systems have improved in efficiency. In this paper, several multi-generation systems based on geothermal energy are modeled, assessed, and optimized which employ an organic Rankine cycle and a proton-exchange membrane electrolyzer subsystem in five different configurations. Based on the results, the evaporator mass flow rate and inlet temperature, turbine efficiency, and inlet temperature are the most influential parameters on system outputs, namely, net output work, hydrogen production, energy efficiency, and cost rate. In this study, the city of Zanjan (Iran) is selected for a case study, and the results of system energy efficiency for changes in ambient temperature are examined during the four seasons of the year. To determine the optimal values of the objective functions, energy efficiency, and cost rate, NSGA-II multi-objective genetic algorithm is employed, and a Pareto chart is derived. The system\'s irreversibility and performance are gauged by energy and exergy analyses. At the optimum state, the best configuration yields an energy efficiency and cost rate of 0.65% and 17.40 $/h, respectively.