Numerical modelling of a deep closed-loop geothermal system: evaluating the Eavor-Loop

IF 0.9 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Joseph J. Kelly, C. McDermott
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引用次数: 5

Abstract

Conventional geothermal energy systems are limited by hydrogeological conditions and environmental risks, and wind/solar solutions have issues with intermittency and the need for grid storage. Deep closed-loop geothermal systems such as the Eavor-Loop are championed as scalable, dispatchable, zero-emission alternative energy technologies, but as yet they are largely untested. A series of numerical models are created using the finite element method to evaluate the power output claims made by Eavor. The models use typical parameter values to create a simplified study domain. The modelling results show that the power output claims are plausible, although the upper range of their predictions would likely require production temperatures in excess of 150 ℃. The technology is shown to be scalable by adding additional lateral wellbore arrays, but this leads to a reduction in efficiency due to thermal interference. It is demonstrated that the presence of groundwater can improve power output at relatively high hydraulic conductivity values. Doubt is cast on the likelihood of finding such values in the deep subsurface. Flow rate is shown to increase power output, but the practicality of using it to follow energy demand is not established. Various limitations of the study are discussed, and suggestions are made for future work which could fill in the remaining knowledge gaps.
深闭环地热系统的数值模拟:对Eavor-Loop的评估
传统的地热能系统受到水文地质条件和环境风险的限制,而风能/太阳能解决方案存在间歇性和需要电网储存的问题。像Eavor-Loop这样的深闭环地热系统被认为是可扩展、可调度、零排放的替代能源技术,但迄今为止,它们在很大程度上尚未经过测试。采用有限元法建立了一系列数值模型,对Eavor提出的功率输出要求进行了评估。模型使用典型的参数值来创建一个简化的研究域。建模结果表明,功率输出声明是合理的,尽管他们预测的上限可能需要超过150℃的生产温度。通过增加额外的横向井眼阵列,该技术可以扩展,但这会导致由于热干扰而降低效率。结果表明,在较高的水力导率值下,地下水的存在可以提高水力输出。人们对在地下深处找到这种值的可能性表示怀疑。流量可以增加功率输出,但用它来跟踪能量需求的实用性尚未确立。讨论了研究的各种局限性,并对未来的工作提出了建议,以填补剩余的知识空白。
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来源期刊
AIMS Geosciences
AIMS Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
7.70%
发文量
31
审稿时长
8 weeks
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