Geotechnical Feasibility Analysis of Compressed Air Energy Storage (CAES) in Bedded Salt Formations: a Case Study in Huai’an City, China

Zhang, Guimin; Li, Yinping; Daemen, J.J.K.; Yang, Chunhe; Yu, Wu; Zhang, Kai; Chen, Yanlong

doi:10.1007/s00603-014-0672-z

Cited by 67 publications

(9 citation statements)

References 23 publications

(26 reference statements)

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“…Salt formations have good creep properties, within which three states can be identified inside this curve ( Figure 5): initial state, steady state, and accelerated state. However, both the first (high speed) and the last are not considered for any application in engineering; thus, the state considered is the so-called steady-state creep one [29,30].…”

Section: Technical Criteriamentioning

confidence: 99%

Multi-criteria algorithm-based methodology used to select suitable domes for compressed air energy storage

et al. 2017

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Summary Storing energy allows both the efficiency and availability of renewable energy to be increased, thus dissociating actual from expected generation and from consumption demands. Compressed air energy storage (hereinafter ‘CAES’) enables the efficient and cost‐effective storage of large amounts of energy, achieving a capacity of over 100 MWh. There are several geological structures that can be used as CAES, among which the use and construction of salt domes are particularly noteworthy. However, there is a high exploration risk associated with subsurface exploration. To this end, it is advisable to establish a detailed schedule to select and characterize structures, with the purpose of minimizing the aforementioned risk. Multi‐criteria algorithms can be used to establish a hierarchy of the alternatives and to identify the structures with the greatest potential with an objective approach. The analytic hierarchy process method is used in this paper as the selection algorithm, which is based on identifying and assessing criteria and weighting each criterion. In accordance with the analytic hierarchy process method, the goal was divided into a series of different level criteria, defining a breakdown structure of the problem to select salt domes. This paper defines a structure hierarchization method that allows the objective establishment of the areas with the highest potential for CAES, considering both technical and socioeconomic factors. Therefore, a supporting decision‐making method may be established to reduce the exploration risk associated with underground structures. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Technical Criteriamentioning

confidence: 99%

Multi-criteria algorithm-based methodology used to select suitable domes for compressed air energy storage

et al. 2017

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“…In the field of stability of compressed air salt cavern energy storage cavity. Yang 13 took the first underground salt rock gas storage in China, Jiangsu Jintan gas storage, as a demonstration project and carried out a study on the factors affecting the stability of underground salt rock gas storage in the process of compressed air energy storage. Xia et al 14 used Abaqus to calculate the strain distribution and plastic deformation region around the perimeter of hard rock gas storage chambers with different burial depths and chamber shapes, and analyzed the stability of the chambers after excavation.…”

Section: Introductionmentioning

confidence: 99%

Study on the influence of injection pressure and frequency on the deformation and damage law of the surrounding rock in the old cavity of salt mine

Zhang,

Yue,

et al. 2024

Energy Science & Engineering

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The long‐term cyclic gas injection and production mode of the gas storage will lead to accelerated deformation of the surrounding rock of the old cavity, and even the instability and failure of the cavity. Considering the geological conditions and cavity measurement data of the old cavity of the horizontal butted‐well in China, the deformation and failure characteristics of the long‐term cyclic injection‐production process of the surrounding rock of the old cavity under different internal pressure difference and injection‐production frequency are studied. The long‐term stability of the gas storage is predicted by six indexes: the deformation of surrounding rock, dilatancy safety factor, volume shrinkage rate, plastic zone volume, equivalent strain, and no tensile stress. The results show that with the increase of operation duration and cycle times, the deformation, volume shrinkage rate, and plastic zone volume of the surrounding rock gradually increase after the old cavity is reconstructed into the gas storage and the difference of results under different UGS and CAES gradually expands. The stability of the surrounding rock of the old cavity under the cycle action of CAES will be lower. The number of cycles has a limited impact on the stability of the surrounding rock of the old cavity, while the operation duration and injection‐production pressure are the main determinants of the stability of the surrounding rock of the old cavity. If the old cavity of the salt mine is reconstructed into CAES, the parameters such as the number of cycles, the operation duration, and the injection‐production pressure still need to be considered comprehensively. The research results can provide reference value for the reasonable design of the gas storage pressure range of the old cavity and the safety and stability evaluation of the surrounding rock.

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“…Thus, consumers try to provide storage facilities and equipment to protect themselves against possible fluctuations and crises from natural gas shortages. , Although various natural gas storage methods exist, underground gas storage (UGS) is among the preferred storage methods around the world to preserve large volumes of gas substances. Compared with ground storage facilities, UGS facilities in depleted oil and gas fields, salt caverns, or aquifers − have the advantages of a large storage capacity, durability, and safety . Thus, the development of UGS has progressed rapidly.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage

Lin,

Yan,

Liu

et al. 2023

ACS Omega

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With the rapid development and popularization of sensing technology and information technology, the demand for intelligence in the oil and gas industry and gas storage has increased. The optimized operation of surface engineering is an important part of intelligence. To master the operation law of the surface engineering of gas storage, improve the production management level, and reduce the cost of gas injection, we investigated the simulation and optimization of a surface gas injection system for practical underground gas storage. We propose calculation formulas for gas injection well pressure separately according to the ideal gas equation of state, the van der Waals equation, and the R-K equation and verify them using actual data. By comparing the calculation error of the data and the complexities for both the equation and the calculation process, we finally choose the formula derived from the ideal gas equation of state as the constraint condition for our research. Moreover, we model the surface gas injection system by using the Aspen HYSYS simulation software. From the variation in the compressor power, we determine that the equalizing pressure injection pattern is the optimal injection pattern and the optimal number of injection wells is three. In addition, we examine the relationship between injection flow and well pressure with injection time under the optimal injection pattern. Finally, we obtain the functional formula of well pressure and injection flow with injection time. The results can provide not only a basis for the gas injection decision making of production systems but also a basic guarantee for the digital transformation and intelligent operation of enterprises.

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Geotechnical Feasibility Analysis of Compressed Air Energy Storage (CAES) in Bedded Salt Formations: a Case Study in Huai’an City, China

Cited by 67 publications

References 23 publications

Multi-criteria algorithm-based methodology used to select suitable domes for compressed air energy storage

Multi-criteria algorithm-based methodology used to select suitable domes for compressed air energy storage

Study on the influence of injection pressure and frequency on the deformation and damage law of the surrounding rock in the old cavity of salt mine

Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage

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