基于峰谷分时电价的压缩空气储能系统热经济性分析

doi:10.19799/j.cnki.2095-4239.2021.0344

储能科学与技术 ›› 2021, Vol. 10 ›› Issue (5): 1607-1613.doi: 10.19799/j.cnki.2095-4239.2021.0344

• 物理储能十年专刊·压缩空气 • 上一篇下一篇

基于峰谷分时电价的压缩空气储能系统热经济性分析

胡珊¹(), 刘畅¹, 徐玉杰^1,², 陈海生^1,^2,³(), 郭欢⁴

^1.中国科学院工程热物理研究所，北京 100190
^2.中国科学院大学，北京 100049
^3.中科南京未来能源系统研究院，江苏南京 211135
^4.毕节高新技术产业开发区国家能源大规模物理储能技术研发中心，贵州毕节 551712

收稿日期:2021-07-14 修回日期:2021-08-06 出版日期:2021-09-05 发布日期:2021-09-08
作者简介:胡珊（1986—），女，高级工程师，主要研究方向为储能技术热经济性，E-mail：hushan@iet.cn|陈海生，研究员，主要研究方向为压缩空气储能技术，E-mail：chen_hs@mail.etp.ac.cn。
基金资助:
国家杰出青年科学基金项目(51925604);中国科学院国际合作局国际伙伴计划项目(182211KYSB20170029);贵州省科技计划项目(黔科合基础［2017］1160号)

Thermo-economic analysis of compressed air energy storage under peak load shaving condition

Shan HU¹(), Chang LIU¹, Yujie XU^1,², Haisheng CHEN^1,^2,³(), Huan GUO⁴

^1.Institute of Engineering Thermophysics, Chinese Academy of Science, Beijing 100190, China
^2.University of Chinese Academy of Sciences, Beijing 100049, China
^3.Nanjing Institute of Future Energy System, Nanjing 211135, Jiangsu, China
^4.National Energy Large Scale Physical Energy Storage Technologies R&D Center of Bijie High-tech Industrial Development Zone, Bijie 551712, Guizhou, China

Received:2021-07-14 Revised:2021-08-06 Online:2021-09-05 Published:2021-09-08

摘要/Abstract

摘要：

压缩空气储能系统被认为是最具发展前景的大规模电力储能技术之一，本文采用?与经济学分析相结合的方法，建立了压缩空气储能系统热经济性分析模型。针对先进蓄热式压缩空气储能系统服务于执行峰谷分时电价的电力系统运行情景，开展了热经济分析。结果表明，该系统热经济性是可行的；能量成本在总成本中占绝大多数，非能量成本中，储气子系统占比最大，其次为压缩子系统，最后为膨胀子系统，其中压缩子系统?损率最高；压缩子系统优化带来的系统输出?单价降低最为明显，其次为储气和膨胀子系统，故系统从热经济学角度进行优化，应首先集中在对压缩机的优化上。本文的研究将为压缩空气储能系统的研究和工程应用提供技术经济决策的参考和依据。

关键词: 压缩空气储能, 热经济学模型, ?分析

Abstract:

Compressed-air energy storage (CAES) is one of the most promising large-scale electrical energy storage technologies. In this study, the method of exergy and economic analysis was adopted, a thermo-economic model for CAES systems was developed. The model was employed to analyze an advanced regenerative CAES system operating in a power system with a time-of-use electricity price. The results show that the system is thermo-economically feasible. Energy cost accounts for a greater portion of the total cost. For the non-energy cost, the gas storage subsystem accounts for the highest proportion, followed by the compression subsystem. Optimizing the compression subsystem significantly reduced the exergy price of the system output, followed by the storage and expansion subsystems. Therefore, to optimize the system, the thermoeconomics of the compressor should first be considered. This study provides technical and economic decision-making reference and basis for research and engineering applications of CAES systems.

Key words: compressed air energy storage, thermal-economic model, exergy analysis

中图分类号:

TK 02

胡珊, 刘畅, 徐玉杰, 陈海生, 郭欢. 基于峰谷分时电价的压缩空气储能系统热经济性分析[J]. 储能科学与技术, 2021, 10(5): 1607-1613.

Shan HU, Chang LIU, Yujie XU, Haisheng CHEN, Huan GUO. Thermo-economic analysis of compressed air energy storage under peak load shaving condition[J]. Energy Storage Science and Technology, 2021, 10(5): 1607-1613.

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参考文献 22

1	张新敬, 陈海生, 刘金超, 等. 压缩空气储能技术研究进展[J]. 储能科学与技术, 2012, 1(1): 26-40.
	ZHANG X J, CHEN H S, LIU J C, et al. Research progress in compressed air energy storage system: A review[J]. Energy Storage Science and Technology, 2012, 1(1): 26-40.
2	CHEN H S, CONG N T, YANG W, et al. Progress in electrical energy storage system: A critical review[J]. Progress in Natural Sciences, 2009, 19(3): 291-312.
3	BULLOUGH C, GATZEN C, JAKIEL C, et al. Advanced adiabatic compressed air energy storage for the integration of wind energy[C]// European Wind Energy Conference, 2004.
4	WANG S L, CHEN G M, FANG M, et al. A new compressed air energy storage refrigeration system[J]. Energy Conversion and Management, 2006, 47(18/19): 3408-3416.
5	NAJJAR Y, JUBEH N. Comparison of performance of compressed-air energy-storage plant with compressed-air storage with humidification[J]. Proceeding of IMechE, Part A: Journal of Power and Energy, 2006, 220: 581-588.
6	HIGASHIMORI H, HASAGAWA K, SUMIDA K. Detailed flow study of mach number 1.6 high transonic flow with a shock wave in a pressure ratio 11 centrifugal compressor impeller[J]. ASME Journal of Turbomachinery, 2004, 126: 473-481.
7	刘畅, 徐玉杰, 胡珊, 等. 压缩空气储能电站技术经济性分析[J]. 储能科学与技术, 2015, 4(2): 158-168.
	LIU C, XU Y J, HU S, et al. Techno-economic analysis of compressed air energy storage power plant[J]. Energy Storage Science and Technology, 2015, 4(2): 158-168.
8	王加璇, 王清照, 宋乃辉. 热经济学研究的使命与任务[J]. 热能动力工程, 2002, 17(2): 111-114.
	WANG J X, WANG Q Z, SONG N H. Mission and assignments of thermoeconomics research[J]. Journal of Engineering for Thermal Energy and Power, 2002, 17(2): 111-114.
9	张丹, 乔瑜, 曾涛, 等. 燃用低热值煤气的联合循环仿真及热经济分析[J]. 工程热物理学报, 2012, 33(2): 331-335.
	ZHANG D, QIAO Y, ZENG T, et al. Simulation and techno-economic analysis of the combined cycle using low calorific value gas[J]. Journal of Engineering Thermophysics, 2012, 33(2): 331-335.
10	沈小华, 张仁兴. 舰船燃气轮机燃气初温的热经济学优化分析[J]. 船海工程, 2007, 36(6): 38-41.
	SHEN X H, ZHANG R X. Thermo economic optimized analysis of the initial gas temperature of warship gas turbine[J]. Ship & Ocean Engineering, 2007, 36(6): 38-41.
11	张学镭, 王松岭, 陈海平, 等. 燃烧中低热值燃料时燃气轮机系统的应对方案及其性能分析[J]. 中国电机工程学报, 2006, 26(19): 110-116.
	ZHANG X L, WANG S L, CHEN H P, et al. Adjustment strategy and performance analysis of gas turbine system when burning medium and low heat value fuel[J]. Proceedings of the CSEE, 2006, 26(19): 110-116.
12	赵春, 王培红. 燃气-蒸汽联合循环热经济学分析评价指标研究[J]. 中国电机工程学报, 2013, 33(23): 44-50.
	ZHAO C, WANG P H. Investigation on the evaluation indices for thermoeconomic analysis of combined cycle power plants[J]. Proceedings of the CSEE, 2013, 33(23): 44-50.
13	SILVEIRA J L. Thermoeconomic analysis method for optimization of combined heat and power systems. Part I[J]. Progress in Energy and Combustion Science, 2003, 29: 479-485.
14	SILVEIRA J L. Thermoeconomic analysis method for optimization of combined heat and power systems. Part II[J]. Progress in Energy and Combustion Science, 2004, 30: 673-678.
15	OMENDRA K S, KAUSHIK S C. Thermoeconomic evaluation and optimization of a Brayton-Rankine-Kalina combined triple power cycle[J]. Energy Conversion and Management, 2013, 71: 32-42.
16	王振, 段立强. 不同运行策略下燃气轮机联合循环变工况热经济性能分析[J]. 中国电机工程学报, 2021, 41(14): 4912-4922.
	WANG Z, DUAN L Q. Thermal economic performance analysis of gas turbine combined cycle under different operation strategies[J]. Proceedings of the CSEE, 2021, 41(14): 4912-4922.
17	董师彤, 滕明勇, 潘振, 等. 地热驱动的新型冷热电三联供系统的热力学与热经济学分析[J]. 太阳能学报, 2021, 42(5): 1-9.
	DONG S T, TENG M Y, PAN Z, et al. Thermodynamic and thermoeconomic analysis of a new geothermal driven CCHP system[J]. Acta Energiae Solaris Sinica, 2021, 42(5): 1-9.
18	杨承, 王平, 刘换新, 等. 分布式燃气-蒸汽联合循环供能系统热经济性分析[J]. 中国电机工程学报, 2019, 39(18): 5424-5432.
	YANG C, WANG P, LIU H X, et al. Thermo-economic analysis on gas-steam combined cycle-based distributed energy supply system[J]. Proceedings of the CSEE, 2019, 39(18): 5424-5432.
19	AGAZZANI A, MASSARDO A F. A tool for thermoeconomic analysis and optimization of gas, steam, and combined plants[J]. Journal of Engineering for Gas Turbines and Power, 1997, 119: 885-892.
20	LIU J C, ZHANG X J, XU Y J, et al. Economic analysis of using above ground gas storage devices for compressed air energy storage system[J]. Journal of Thermal Science, 2014, 23(6): 535-543.
21	HU S, LIU C, DING J, et al. Thermo-economic modeling and evaluation of physical energy storage in power system[J/OL]. Journal of Thermal Science, 2021. https://doi.org/10.1007/s11630-021-1417-4.
22	江苏省发展和改革委员会. 苏发改价格发[2020] 1183号《省发展改革委关于江苏电网2020—2022年输配电价和销售电价有关事项的通知»[EB/OL]. [2020-11-03]. http://fzggw.jiangsu.gov.cn/art/2020/11/3/art_284_9556483.html.
	Jiangsu Development & Reform Commission. Notice of Jiangsu Provincial Development and Reform Commission on issues related to transmission and distribution price and sales price of Jiangsu power grid in 2020—2022[EB/OL]. [2020-11-03].http://fzggw.jiangsu.gov.cn/art/2020/11/3/art_284_9556483.html.

性能参数	数值
系统输出功率/MW	10
储电时间/放电时间	4 h/4 h
系统效率/%	65
储气室容积/m³	20813
储气压力/放气压力	10 MPa/7 MPa

热力参数	数值
压缩机流量/(kg·s^-1)	34.700
压缩机进口压力/10⁵ Pa	1.000
压缩机进口温度/K	303.150
膨胀机流量/(kg·s^-1)	34.015
膨胀机进口压力/10⁵ Pa	70.000
膨胀机进口温度/K	366.150
热水罐热水温度/K	374.150
冷水罐冷水温度/K	309.650
冷热水罐压力/10⁵ Pa	4
冷却水量/(kg·h^-1)	151711.25

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基于峰谷分时电价的压缩空气储能系统热经济性分析

Thermo-economic analysis of compressed air energy storage under peak load shaving condition

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