Abstract
Underground compressed air energy storage (CAES) in lined rock caverns (LRCs) provides a promising solution for storing energy on a large scale. One of the essential issues facing underground CAES implementation is the risk of air leakage from the storage caverns. Compressed air may leak through an initial defect in the inner containment liner, such as imperfect welds and construction joints, or through structurally damaged points of the liner during CAES operation for repeated compression and decompression cycles. Detection of the air leakage and identification of the leakage location around the underground storage cavern are required. In this study, we analyzed the displacement (or strain) monitoring method to detect the mechanical failure of liners that provides major pathways of air leakage using a previously developed numerical technique simulating the coupled thermodynamic and geomechanical behavior of underground CAES in LRCs. We analyzed the use of pressure monitoring to detect air leakage and characterize the leakage location. From the simulation results, we demonstrated that tangential strain monitoring at the inner face of sealing liners could enable one to detect failure. We also demonstrated that the use of the cross-correlation method between pressure history data measured at various sensors could identify the air leak location. These results may help in the overall design of a monitoring and alarm system for the successful implementation and operation of CAES in LRCs.
Similar content being viewed by others
References
Crotogino F, Mohmeyer KU, Scharft R (2001) Huntorf CAES: more than 20 years of successful operation. Spring 2001 meeting. Orlando, Florida
Glendenning I (1976) Long-term prospects for compressed air storage. Appl Energy 2(1):39–56. doi:10.1016/0306-2619(76)90038-6
Ibrahim H, Younes R, Ilinca A, Dimitrova M, Perron J (2010) Study and design of a hybrid wind-diesel-compressed air energy storage system for remote areas. Appl Energy 87(5):1749–1762. doi:10.1016/j.apenergy.2009.10.017
KIGAM (2011) Development of underground energy storage system in lined rock cavern. Ministry of Knowledge Economy (in Korean)
Kim HM, Rutqvist J, Ryu DW, Choi BH, Sunwoo C, Song WK (2012) Exploring the concept of compressed air energy storage (CAES) in lined rock caverns at shallow depth: a modeling study of air tightness and energy balance. Appl Energy 92:653–667. doi:10.1016/j.apenergy.2011.07.013
Kim HM, Rutqvist J, Jeong JH, Choi BH, Ryu DW, Song WK (2013) Characterizing excavation damaged zone and stability of pressurized lined rock caverns for underground compressed air energy storage. Rock Mech Rock Eng 46(5):1113–1124. doi:10.1007/s00603-012-0312-4
Knapp C, Carter GC (1976) The generalized correlation method for estimation of time delay. IEEE Trans Acoust Speech Signal Process 24(4):320–327. doi:10.1109/TASSP.1976.1162830
Kushnir R, Dayan A, Ullmann A (2012) Temperature and pressure variations within compressed air energy storage caverns. Int J Heat Mass Transfer 55(21–22):5616–5630. doi:10.1016/j.ijheatmasstransfer.2012.05.055
Mehta BR, Spencer D (1988) Siting compressed-air energy plants. Tunn Undergr Sp Technol 3(3):295–299. doi:10.1016/0886-7798(88)90056-9
Menke W, Menke J (2011) Environmental data anal ysis with MATLAB. Elsevier, New York
Murvay PS, Silea I (2012) A survey on gas leak detection and localization techniques. J Loss Prev Process Ind 25(6):966–973. doi:10.1016/j.jlp.2012.05.010
Park D, Kim HM, Ryu DW, Choi BH, Han KC (2013) Probability-based structural design of lined rock caverns to resist high internal gas pressure. Eng Geol 153:144–151. doi:10.1016/j.enggeo.2012.12.001
Raju M, Khaitan SK (2012) Modeling and simulation of compressed air storage in caverns: a case study of the Huntorf plant. Appl Energy 89(1):474–481. doi:10.1016/j.apenergy.2011.08.019
Reddy HP, Narashimhan S, Bhallamudi SM, Bairagi S (2011) Leak detection in gas pipeline networks using an efficient state estimator. Part-I: theory and simulations. Comput Chem Eng 35(4):651–661. doi:10.1016/j.compchemeng.2010.10.006
Rutqvist J (2011) Status of the TOUGH-FLAC simulator and recent applications related to coupled fluid flow and crustal deformations. Comput Geosci 37(6):739–750. doi:10.1016/j.cageo.2010.08.006
Rutqvist J, Tsang CF (2003) TOUGH-FLAC: a numerical simulator for analysis of coupled thermal-hydrologic-mechanical processes in fractured and porous geological media under multi-phase flow conditions. Proceedings of TOUGH Symposium 2003, Lawrence Berkeley National Laboratory, Berkeley, California, May 12–14 2003
Rutqvist J, Kim HM, Ryu DW, Synn JH, Song WK (2012) Modeling of coupled thermodynamic and geomechanical performance of underground compressed air energy storage in lined rock caverns. Int J Rock Mech Min Sci 52:71–81. doi:10.1016/j.ijrmms.2012.02.010
Succar S, Williams RH (2008) Compressed air energy storage: theory, resources, and applications for wind power. Energy Systems Analysis Group, Princeton Environmental Institute, Princeton
Zhou SW, Xia CC, Du SG, Zhang PY, Zhou Y (2014) An analytical solution for mechanical responses induced by temperature and air pressure in a lined rock cavern for underground compressed air energy storage. Rock Mech Rock Eng (published online 03 April 2014). doi:10.1007/s00603-014-0570-4
Acknowledgments
The authors would like to thank Prof. Herbert Einstein at the Massachusetts Institute of Technology for his careful and detailed review, which improved the clarity and quality of the paper considerably. This research was supported by the Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM, Project code no. GP2015-010) that is funded by the Ministry of Science, ICT and Future Planning of Korea. Funding from KIGAM for Dr. Jonny Rutqvist and Berkeley Lab was provided by the US Department of Energy Contract No. DE-AC02-05CH11231. Dr. Hyung-Mok Kim was supported by the Basic Science Research Program through the National Research Foundation of Korea (KRF) that is funded by the Ministry of Education (2013R1A1A2004605).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kim, HM., Rutqvist, J., Kim, H. et al. Failure Monitoring and Leakage Detection for Underground Storage of Compressed Air Energy in Lined Rock Caverns. Rock Mech Rock Eng 49, 573–584 (2016). https://doi.org/10.1007/s00603-015-0761-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00603-015-0761-7