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A Sustainable model for the integration of solar and geothermal energy boosted with thermoelectric generators (TEGs) for electricity, cooling and desalination purpose
Geothermics ( IF 3.5 ) Pub Date : 2021-01-29 , DOI: 10.1016/j.geothermics.2021.102042
Ehsanolah Assareh , Seyed Mojtaba Alirahmi , Pouria Ahmadi

In this research paper, an integrated energy system for the production of cooling, hot water, and electricity along with desalinated water is proposed, simulated, assessed, and optimized. This integrated energy system is composed of a geothermal well, a single-effect Li/Br and water absorption chiller, parabolic trough collectors (PTCs), a steam Rankine cycle (SRC) and, a reverse osmosis desalination unit. Instead of the condenser, thermoelectric generators (TEGs) are used to increase the generated electricity by the SRC. The system's performance is evaluated in terms of energy, exergy, and exergoeconomic, and the cases with the TEG is compared to the system with the condenser, and results are discussed and investigated. Using the TEG instead of a condenser, results in reducing the total cost rate and enhancing the system's exergy efficiency. Also, the performance of the system was evaluated for four different days in Shiraz city. For the selected days in spring, summer, fall, and winter, the highest generated electricity of the system with the thermoelectric generator is 1087 kW, 1158 kW, 1133 kW, and 766.5 kW, respectively. Thus, the system with thermoelectric is selected for optimization. To optimize the system, seven decision variables are selected namel, the geothermal fluid temperature, the total solar aperture area, the collector outlet temperature, the inlet pressure of the turbines, the TEG figure of merit, the turbine outlet pressure, and the evaporator pinch point temperature difference. Total cost rate and system exergy efficiency are considered as two objective functions. To determine optimum values of the objective functions, a multi-objective genetic algorithm is applied, and also the Pareto frontier figure is obtained. In this figure, the best point is chosen from the technique for order of preference by similarity to ideal solution (TOPSIS) decision-making criterion, where the cost rate is 10.41 ($ / GJ), and the exergy efficiency is 20.52%.



中文翻译:

一种可持续模型,用于通过热电发电机(TEG)促进太阳能和地热能的集成,用于电力,冷却和海水淡化

在这篇研究论文中,提出,模拟,评估和优化了用于生产冷却水,热水和电以及淡化水的集成能源系统。该综合能源系统由地热井,单效锂/溴和吸水冷却器,抛物线槽收集器(PTC),蒸汽兰金循环(SRC)和反渗透淡化装置组成。代替冷凝器,热电发电机(TEG)用于增加SRC的发电量。该系统的性能从能量,火用和能效方面进行了评估,并将带有TEG的情况与带有冷凝器的系统进行了比较,并对结果进行了讨论和研究。使用TEG代替冷凝器可降低总成本,并提高系统的效率。的火用效率。此外,在设拉子市的四个不同天中对系统的性能进行了评估。对于春季,夏季,秋季和冬季的选定日期,使用热电发电机的系统产生的最高电力分别为1087 kW,1158 kW,1133 kW和766.5 kW。因此,选择具有热电的系统进行优化。为了优化系统,选择了七个决策变量,分别是地热流体温度,总太阳能孔径面积,收集器出口温度,涡轮机入口压力,TEG品质因数,涡轮机出口压力和蒸发器夹点点温差。总成本率和系统能效被视为两个目标函数。为了确定目标函数的最佳值,应用多目标遗传算法,得到帕累托边界图。在此图中,通过类似于理想解决方案(TOPSIS)决策标准的优先顺序从最佳技术中选择最佳点,成本率为10.41($ / GJ),火用效率为20.52%。

更新日期:2021-01-29
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