Performance and economy of trigenerative adiabatic compressed air energy storage system based on multi-parameter analysis

被引:24
作者
Du, Ruxue [1 ]
He, Yang [1 ]
Chen, Haisheng [2 ]
Xu, Yujie [2 ]
Li, Wen [2 ]
Deng, Jianqiang [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China
[2] Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China
关键词
Trigenerative ACAES; Compression stages; Expansion stages; Thermal storage; Adjustment; EXERGY ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; SIMULATION; PLANT; CAES;
D O I
10.1016/j.energy.2021.121695
中图分类号
O414.1 [热力学];
学科分类号
摘要
The trigeneration combined the electricity, cooling and heating makes adiabatic compressed air energy storage system (ACAES) popular as an energy storage technology. Based on thermodynamic analysis, this paper studies the influence on the system performance of four variable factors, including compression stages, expansion stages, water (heat storage medium) mass flow rates in charging process and discharging process to provide a guidance for the design of ACAES for different user demand. The results show that changing these four factors can achieve different energy output distributions in a very wide range (power supply ratio is 0.50-0.86, heating output ratio is 0.00-0.39, cooling supply ratio is 0.00-0.41). Simulation results also indicate that fewer compression and expansion stages are suggested for the cases requiring shorter running time. Furthermore, according to this study, less compression stages than expansion is good for electricity generation and more compression stages is good for cooling supply. And for large heating supply demand, less compression is suggest. Besides, the energy efficiencies for different configurations of trigenerative ACAES are also achieved which are changed from 0.62 to 0.87 and the best configurations with highest system efficiency are also presented. Finally, by economic analysis, the most economic condition is achieved. (c) 2021 Elsevier Ltd. All rights reserved.
引用
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页数:12
相关论文
共 32 条
[1]   Partial load operation analysis of trigeneration subcooled compressed air energy storage system [J].
Alsagri, Ali Sulaiman ;
Arabkoohsar, Ahmad ;
Rahbari, Hamid Reza ;
Alrobaian, Abdulrahman A. .
JOURNAL OF CLEANER PRODUCTION, 2019, 238
[2]   Modelling and experimental validation of a small-scale trigenerative compressed air energy storage system [J].
Cheayb, Mohamad ;
Gallego, Mylene Marin ;
Tazerout, Mohand ;
Poncet, Sebastien .
APPLIED ENERGY, 2019, 239 :1371-1384
[3]   Thermodynamic analysis of an open type isothermal compressed air energy storage system based on hydraulic pump/turbine and spray cooling [J].
Chen, Hua ;
Peng, Yu-hang ;
Wang, Yan-ling ;
Zhang, Jun .
ENERGY CONVERSION AND MANAGEMENT, 2020, 204
[4]  
E.p.p.a.D. Institute, 2013, REF COST IND QUOT DE
[5]   Energy storage in the energy transition context: A technology review [J].
Gallo, A. B. ;
Simoes-Moreira, J. R. ;
Costa, H. K. M. ;
Santos, M. M. ;
Moutinho dos Santos, E. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 65 :800-822
[6]   Comprehensive exergy analysis of the dynamic process of compressed air energy storage system with low-temperature thermal energy storage [J].
Guo, Cong ;
Xu, Yujie ;
Guo, Huan ;
Zhang, Xinjing ;
Lin, Xipeng ;
Wang, Liang ;
Zhang, Yi ;
Chen, Haisheng .
APPLIED THERMAL ENGINEERING, 2019, 147 :684-693
[7]   Corresponding-point methodology for physical energy storage system analysis and application to compressed air energy storage system [J].
Guo, Huan ;
Xu, Yujie ;
Chen, Haisheng ;
Zhang, Xinjing ;
Qin, Wei .
ENERGY, 2018, 143 :772-784
[8]   Thermodynamic analytical solution and exergy analysis for supercritical compressed air energy storage system [J].
Guo, Huan ;
Xu, Yujie ;
Chen, Haisheng ;
Guo, Cong ;
Qin, Wei .
APPLIED ENERGY, 2017, 199 :96-106
[9]   Thermodynamic characteristics of a novel supercritical compressed air energy storage system [J].
Guo, Huan ;
Xu, Yujie ;
Chen, Haisheng ;
Zhou, Xuezhi .
ENERGY CONVERSION AND MANAGEMENT, 2016, 115 :167-177
[10]   Thermo-economic analysis and optimization of a combined cooling, heating and power system based on advanced adiabatic compressed air energy storage [J].
Han, Zhonghe ;
Sun, Ye ;
Li, Peng .
ENERGY CONVERSION AND MANAGEMENT, 2020, 212