The effects of formation inclination on the operational performance of compressed carbon dioxide energy storage in aquifers

被引：0
|
作者：
Li, Yi [1 ,3 ]
Liu, Yinjiang [1 ]
Cui, Jie [1 ,2 ]
Yu, Hao [1 ]
Tang, Dong [1 ]
Zhang, Guijin [1 ]
Liu, Yaning [4 ]
机构：
[1] School of Hydraulic and Environmental Engineering, Changsha University of Science and Technology, Changsha,410114, China
[2] Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, Changsha,410004, China
[3] School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan,430068, China
[4] Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver,CO,80204, United States
来源：
Renewable Energy | 2024年 / 237卷
关键词：
Compressed CO2 energy storage in aquifers (CAESA) is a net-zero energy storage technology. Due to the widespread existence of inclined aquifers in nature; it is of practical significance to study the influence of inclined reservoirs on CO2 migration; safety and energy efficiency of the storage system. We build 3D numerical models with different dips (0°–16°); analyze the hydrodynamic and thermodynamic behavior of the system; and discuss the effects of injection schemes (temperature and pressure) on wellbore pressure; temperature; and energy efficiency. The results show that formation dip affects the energy storage characteristics of the system mainly by affecting the migration and distribution of CO2 in the aquifer. The greater the formation dip; the greater the difference in CO2 distribution; and the farther the CO2 diffuses upward along the dip direction. The farthest migration distances in the low- and high-pressure aquifers; occurring in the case of 16° formation dip; increase by 100 and 53 m; respectively; compared with those of the flat formation. The average daily energy storage efficiency decreases with the increase in formation dip angle. The dip angle of aquifer which is selected for compressed CO2 energy storage should not exceed 8°. © 2024 Elsevier Ltd;
D O I：
10.1016/j.renene.2024.121536
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