A new multi-objective optimization model of multi-layer prestressed lining cavern for compressed air energy storage

Abstract

Underground multi-layer cavern is a key component in the compressed air energy storage (CAES) engineering and its optimal design is of vital importance for improving the CAES efficiency, while most of the optimization models for CAES cavern only have strength index without consideration of economical index. In this study, a finite element method of the CAES multi-layer cavern under high temperature and high pressure is used to calculate stress and strain fields of each layer (The maximum circumferential strain ε_θmax is experimentally verified to appear at top points of the lining layer) and to demonstrate the necessity of the prestressed lining since ε_θmax of lining layer is little influenced by the structural parameters. Numerical results of the prestressed lining cavern indicate that the applied prestress can effectively decrease ε_θmax and improve the stability of CAES prestressed lining cavern. A new multi-objective optimization model of CAES prestressed lining cavern is established with consideration of safety (minimizing the prestress to satisfy its strength conditions) and economy (minimizing the cavern surface area to decrease the construction cost). Calculation results show that the multi-objective optimization model is superior to the single-objective optimization model (only strength index) since it can obtain a safer and more economical CAES multi-layer cavern structure.

Keywords

compressed air energy storage / multi-layer cavern / thermal-mechanical coupling / prestressed lining / multi-objective optimization

References

[1] BudtM, WolfD, SpanR, et al. . A review on compressed air energy storage: Basic principles, past milestones and recent developments [J]. Applied Energy, 2016, 170: 250-268

[2] Koohi-FayeghS, RosenM. A review of energy storage types, applications and recent developments [J]. Journal of Energy Storage, 2020, 27: 101047

[3] Carranza-TorresC, FosnachtD, HudakG. Geomechanical analysis of the stability conditions of shallow cavities for compressed air energy storage (CAES) applications [J]. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2017, 3(2): 131-174

[4] KhaitanR S K. Modeling and simulation of compressed air storage in caverns: A case study of the Huntorf plant[J]. Applied Energy, 2012, 89474-481

[5] GlamhedenR, CurtisP. Excavation of a cavern for high-pressure storage of natural gas [J]. Tunnelling and Underground Space Technology, 2006, 21(1): 56-67

[6] KapilaS, OniA O, KumarA. The development of techno-economic models for large-scale energy storage systems [J]. Energy, 2017, 140: 656-672

[7] ShidaharaT, OyamaT, NakagawaK, et al. . Geotechnical evaluation of a conglomerate for compressed air energy storage: The influence of the sedimentary cycle and filling minerals in the rock matrix [J]. Engineering Geology, 2000, 56(1–2): 125-135

[8] KimH M, LettryY, ParkD, et al. . Field evaluation of permeability of concrete linings and rock masses around underground lined rock Caverns by a novel in situ measurement system [J]. Engineering Geology, 2012, 137–138: 97-106

[9] MelikoğluM. Pumped hydroelectric energy storage: Analysing global development and assessing potential applications in Turkey based on Vision 2023 hydroelectricity wind and solar energy targets [J]. Renewable and Sustainable Energy Reviews, 2017, 72: 146-153

[10] LiR-X, ZhangH-R, ChenH, et al. . Hybrid techno-economic and environmental assessment of adiabatic compressed air energy storage system in China—Situation [J]. Applied Thermal Engineering, 2021, 186: 116443

[11] MatosC R, CarneiroJ F, SilvaP P. Overview of large-scale underground energy storage technologies for integration of renewable energies and criteria for reservoir identification [J]. Journal of Energy Storage, 2019, 21241-258

[12] KimH, RutqvistJ, RyuD, et al. . 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[J]. Applied Energy, 2012, 92: 653-667

[13] MaY, RaoQ H, HuangD Y, et al. . A new theoretical model of thermo-gas-mechanical (TGM) coupling field for underground multi-layered cavern of compressed air energy storage[J]. Energy, 2022, 257: 124646

[14] RutqvistJ, KimH M, RyuD W, et al. . Modeling of coupled thermodynamic and geomechanical performance of underground compressed air energy storage in lined rock Caverns [J]. International Journal of Rock Mechanics and Mining Sciences, 2012, 5271-81

[15] KimH M, RutqvistJ, JeongJ H, et al. . Characterizing excavation damaged zone and stability of pressurized lined rock Caverns for underground compressed air energy storage [J]. Rock Mechanics and Rock Engineering, 2013, 46(5): 1113-1124

[16] ZhouS-W, XiaC-C, ZhaoH-B, et al. . Numerical simulation for the coupled thermo-mechanical performance of a lined rock cavern for underground compressed air energy storage [J]. Journal of Geophysics and Engineering, 2017, 14(6): 1382-1398

[17] SchmidtF, MenéndezJ, KonietzkyH, et al. . Converting closed mines into giant batteries: Effects of cyclic loading on the geomechanical performance of underground compressed air energy storage systems [J]. Journal of Energy Storage, 2020, 32: 101882

[18] XIA C, ZHOU Y, ZHOU S, et al. A simplified and unified analytical solution for temperature and pressure variations in compressed air lined rock caverns[J]. Renewable Energy, 2015: 718–726. DOI:https://doi.org/10.1016/j.renene.2014.08.058.

[19] KushnirR, DayanA, UllmannA. Temperature and pressure variations within compressed air energy storage Caverns [J]. International Journal of Heat and Mass Transfer, 2012, 55(21–22): 5616-5630

[20] MaY, RaoQ-H, HuangD-Y, et al. . A new theoretical model of local air-leakage seepage field for the compressed air energy storage lined cavern [J]. Journal of Energy Storage, 2022, 49104160

[21] JiangZ-M, LiP, TangD, et al. . Experimental and numerical investigations of small-scale lined rock cavern at shallow depth for compressed air energy storage [J]. Rock Mechanics and Rock Engineering, 2020, 53(6): 2671-2683

[22] LiP, KangH, ZhuQ, et al. . Numerical and experimental investigations of concrete lined compressed air energy storage system[J]. Journal of Cleaner Production, 2023, 390136153

[23] ParkD, KimH M, RyuD W, et al. . Probability-based structural design of lined rock Caverns to resist high internal gas pressure [J]. Engineering Geology, 2013, 153144-151

[24] MoP-Q, WangJ. Shakedown analysis of cavities in cohesive-frictional materials and its application to underground energy storage caverns [J]. Soils and Foundations, 2020, 60(1): 77-89

[25] ChenX-D, BuJ-W, XuL-Y. Effect of strain rate on post-peak cyclic behavior of concrete in direct tension [J]. Construction and Building Materials, 2016, 124: 746-754

[26] SL 279-2016Specification for design of hydraulic tunnel [S], 2016, Beijing, China, Water Resources and Hydropower Press(in Chinese)

[27] MehtaP K, CarinoN J, JenningsH, et al. . Properties of concrete at early ages [J]. Cement, Concrete and Aggregates, 1989, 11(2): 51-54

[28] SwaddiwudhipongS, LuH-R, WeeT H. Direct tension test and tensile strain capacity of concrete at early age [J]. Cement and Concrete Research, 2003, 33(12): 2077-2084

[29] ZhangB, LiH, LiS-G, et al. . Sustainable multidepot emergency facilities location-routing problem with uncertain information [J]. Applied Mathematics and Computation, 2018, 333: 506-520

[30] LiY-M, LiuC, ZhangL-Z, et al. . A partition optimization design method for a regional integrated energy system based on a clustering algorithm [J]. Energy, 2021, 219119562

[31] RenC-F, XieZ-S, ZhangY, et al. . An improved interval multi-objective programming model for irrigation water allocation by considering energy consumption under multiple uncertainties [J]. Journal of Hydrology, 2021, 602126699