Optimization of an Integrated Geothermal Energy System for Sustainable Producing Power, Cooling, and Hydrogen Storage

Energy Storage Pub Date : 2025-03-26 DOI:10.1002/est2.70156
Ali Esmaeili, Shoaib Khanmohammadi, Hossein Tamim, Ali Abbasi
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Abstract

Due to the increase in pollutants produced by fossil fuels, the earth's ecosystem has been threatened, and actions must be taken to improve the current situation. One of these actions is using renewable energies instead of fossil fuels, and another is using multigenerational production systems instead of single-product-oriented systems. This study investigated a geothermal system with two ejector cooling cycles combined with an improved ORC cycle with a fuel cell that can produce hydrogen by consuming production power. After performing the numerical simulation, the system's energy efficiency is 40.25%, and the exergy efficiency of the system is 22.52% for the geothermal source, which produces 6143 kW of thermal energy. The net output power of the whole system is equal to 344.1 kW, the production cooling load is equal to 2214 kW, and the hydrogen production rate is 2.369 kg/h. The amount of exergy destruction of various equipment in the cycle has been calculated and verified. Also, a parametric analysis was done based on the effect of different points' thermodynamic characteristics on the system's main parameters, such as net output power, energy and exergy efficiency, the total cost of unit power cost, sustainability index, and the results were analyzed. Also, a genetic algorithm has optimized the study cycle, and a multi-objective optimization analysis has been presented, with the objectives of the cycle's sustainability index, exergy efficiency, and power production cost rate.

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可持续发电、制冷和储氢综合地热能系统的优化
由于化石燃料产生的污染物的增加,地球的生态系统受到了威胁,必须采取行动来改善现状。这些行动之一是使用可再生能源代替化石燃料,另一个是使用多代生产系统代替单一产品导向的系统。本研究研究了一种地热系统,该系统具有两个喷射器冷却循环,并结合了一个改进的ORC循环和一个燃料电池,该燃料电池可以通过消耗生产动力来产生氢气。经数值模拟,系统的能源效率为40.25%,地热源的系统用能效率为22.52%,产生的热能为6143 kW。整个系统净输出功率为344.1 kW,生产冷负荷为2214 kW,制氢速率为2.369 kg/h。计算并验证了各设备在循环中的火能破坏量。根据不同点的热力特性对系统净输出功率、能量和火用效率、单位功率成本总成本、可持续性指标等主要参数的影响进行了参数化分析,并对结果进行了分析。采用遗传算法对研究周期进行优化,并以周期的可持续性指数、火用效率和发电成本率为目标进行多目标优化分析。
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