| 深部含水层储热系统的数值模拟研究 |
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| 关键词:deep aquifer thermal energy storage geothermal resources development and utilization numerical simulation thermal recovery efficiency OpenGeoSys |
| 基金项目:国家自然科学基金项目(编号: 41902311) |
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| 摘要: |
| Numerical Modeling of the High-temperature Thermal Energy Storage System in Deep Aquifers |
| Deep aquifer thermal energy storage (deep-ATES) technology is a “Geothermal Plus” multi-energy complementary storage/supply system based on the deep aquifer medium. The system can store various forms of energy underground and take them out for utilization according to the demand, which can be used as the imbalance of energy supply and demand in time and space. It is an effective way to comprehensively utilize a variety of renewable energy sources and to realize energy saving and emission reduction. Deep aquifer thermal storage is a new way to develop and utilize hydrothermal type geothermal resource. Exploitation of the traditional hydrothermal geothermal resources by thermal breakthrough is limited due to the geothermal tail water reinjection reducing the lifetime of geothermal fields. Not only can the use of deep aquifer thermal energy storage enhance the geothermal resources, but it can also extend the life of the geothermal field. Our numerical simulation shows that, compared with the traditional hydrothermal geothermal system, deep aquifer thermal energy storage technology can enhance the single well heating capacity by 20% with the same production flow rate. Moreover, its heat storage efficiency can reach 60%–90% ensuring a high extraction rate of geothermal energy. Unlike the traditional hydrothermal geothermal well life, which is limited by the thermal breakthrough time, the deep aquifer thermal storage system can ensure that no thermal breakthrough occurs in the reinjection wells and achieve sustainable exploitation. While evaluating the influence of different parameters on the thermal storage performance of deep aquifers by sensitivity analysis, reservoir permeability and injection temperature were found as the key parameters affecting heat storage capacity and efficiency. This study aims to provide a calculation method and reference for deep aquifer energy storage technology. |
| HUANG Yong-hui,YANG Jun-sheng,ZHU Chuan-qing,KONG Yan-long.2023.Numerical Modeling of the High-temperature Thermal Energy Storage System in Deep Aquifers[J].Acta Geoscientica Sinica,44(1):239-247. |
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