Numerical investigation of cycle performance in compressed air energy storage in aquifers

Lichao Yang, Zuansi Cai, Cai Li, Qingcheng He, Yan Ma and Chaobin Guo

Applied Energy, 2020, vol. 269, issue C, No S0306261920305560

Abstract: Compressed air energy storage (CAES) is one of the promising technologies to store the renewable energies such as surplus solar and wind energy in a grid scale. Due to the widespread of aquifers in the world, the compressed air energy storage in aquifers (CAESA) has advantages compared with the compressed air energy storage in caverns and air tanks. The feasibility of aquifers as storage media in CAES system has been demonstrated by numerical models and field tests. This study proposes a numerical model by Transport of Unsaturated Groundwater and Heat Version 3.0/Equation-of-State 3 (TOUGH3/EOS3) to simulate a field-scale study of a novel CAES by storing the compressed air in aquifers. The feasibility of the model has been demonstrated by comparison of simulation results and monitoring data. After that, three types of cycles, which are daily cycle, weekly cycle and monthly cycle, are designed to study their performance within a month working cycle. Their gas saturation show small differences after one month cycle. When the air with temperature of 50 °C injected into aquifers with temperature of 20 °C, after the cycle finished, the air temperature in aquifer of daily cycle are 5.4 °C higher than that of weekly cycle and 10.8 °C higher than that of monthly cycle. It is indicated that during the same cycle periods, the more cycle times, the higher air temperature in aquifers after the cycle. The energy recovery efficiencies for daily cycle, weekly cycle and monthly cycle are 96.96%, 96.27% and 93.15%, respectively. The slight increase of energy recovery efficiencies from daily cycle to monthly cycle indicate that with the same energy storage scales, the energy produced by daily cycle has slight competitiveness. The simulation results can provide references for engineering application in future.

Keywords: Aquifers; Compressed air energy storage; Numerical model; Cycles; Energy recovery efficiency (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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DOI: 10.1016/j.apenergy.2020.115044

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