Thermodynamic Analysis of CCHP with Compressed Air Energy Storage and Enhanced Geothermal Technology

doi:10.11930/j.issn.1004-9649.202306024

Abstract

Abstract:

To further improve the efficiency and supply flexibility of compressed air energy storage (CAES), a novel combined cooling-heating-power (CCHP) system integrating CAES and enhanced geothermal system is proposed based on the law of energy cascade utilization. The thermodynamic models of each component within the system are established. The impacts of crucial parameters on the thermodynamic performance of the system are investigated. The multi-objective optimization is carried out to pursue the optimal Pareto fronts of exergy efficiency and total investment cost per total output energy. The results indicate that the expander and heat exchanger are the two key components in the system, and the thermodynamic performance of the above two components could improve the performance of the system significantly. Finally, the optimum exergy efficiency of the system is 55.73%, and the best total investment cost per total output energy is 6378.94 yuan/kW. The optimum values of energy efficiency and energy saving ratio are 6.1% and 10.68%, respectively, which are higher than those of values under design condition.

Key words: compressed air energy storage, geothermal technology, combined cooling heating and power system, energy analysis, exergy analysis

Jian LIANG, Meng WANG, Yaxin YANG, Yang HU, Erren YAO. Thermodynamic Analysis of CCHP with Compressed Air Energy Storage and Enhanced Geothermal Technology[J]. Electric Power, 2024, 57(1): 209-218.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202306024

https://www.electricpower.com.cn/EN/Y2024/V57/I1/209

Figures/Tables 15

References 28

1	ALIRAHMI S M, RAZMI A R, ARABKOOHSAR A. Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems[J]. Renewable and Sustainable Energy Reviews, 2021, 142, 110850. DOI
2	BAZMI A A, ZAHEDI G. Sustainable energy systems: role of optimization modeling techniques in power generation and supply—a review[J]. Renewable and Sustainable Energy Reviews, 2011, 15 (8): 3480- 3500. DOI
3	王粟, 肖立业, 唐文冰, 等. 新型重力储能研究综述[J]. 储能科学与技术, 2022, 11 (5): 1575- 1582.
	WANG Su, XIAO Liye, TANG Wenbing, et al. Review of new gravity energy storage[J]. Energy Storage Science and Technology, 2022, 11 (5): 1575- 1582.
4	OLABI A G, WILBERFORCE T, RAMADAN M, et al. Compressed air energy storage systems: components and operating parameters - A review[J]. Journal of Energy Storage, 2021, 34, 102000. DOI
5	刘联涛, 刘飞, 吉平, 等. 储能参与新能源消纳的优化控制策略[J]. 中国电力, 2023, 56 (3): 137- 143.
	LIU Liantao, LIU Fei, JI Ping, et al. Research on optimal control strategy of energy storage for improving new energy consumption[J]. Electric Power, 2023, 56 (3): 137- 143.
6	任大伟, 侯金鸣, 肖晋宇, 等. 支撑双碳目标的新型储能发展潜力及路径研究[J]. 中国电力, 2023, 56 (8): 17- 25.
	REN Dawei, HOU Jinming, XIAO Jinyu, et al. Research on development potential and path of new energy storage supporting carbon peak and carbon neutrality[J]. Electric Power, 2023, 56 (8): 17- 25.
7	MAHLIA T M I, SAKTISAHDAN T J, JANNIFAR A, et al. A review of available methods and development on energy storage; technology update[J]. Renewable and Sustainable Energy Reviews, 2014, 33, 532- 545. DOI
8	CHEN H S, CONG T N, YANG W, et al. Progress in electrical energy storage system: a critical review[J]. Progress in Natural Science, 2009, 19 (3): 291- 312. DOI
9	YAO E R, WANG H R, WANG L G, et al. Thermo-economic optimization of a combined cooling, heating and power system based on small-scale compressed air energy storage[J]. Energy Conversion and Management, 2016, 118, 377- 386. DOI
10	黄恩和, 宋传教, 金庆辉, 等. 基于储热介质和排气温度的绝热式压缩空气储能系统优化设计[J]. 热力发电, 2021, 50 (8): 39- 46. DOI
	HUANG Enhe, SONG Chuanjiao, JIN Qinghui, et al. Optimal design of adiabatic compressed air energy storage system based on heat storage medium and exhaust temperature[J]. Thermal Power Generation, 2021, 50 (8): 39- 46. DOI
11	文贤馗, 李翔, 邓彤天, 等. 先进压缩空气储能系统的余热回收和利用[J]. 中国电力, 2022, 55 (2): 28- 34.
	WEN Xiankui, LI Xiang, DENG Tongtian, et al. Waste heat recovery and utilization of advanced compressed air energy storage system[J]. Electric Power, 2022, 55 (2): 28- 34.
12	ZHANG Y, YAO E R, WANG T Y. Comparative analysis of compressed carbon dioxide energy storage system and compressed air energy storage system under low-temperature conditions based on conventional and advanced exergy methods[J]. Journal of Energy Storage, 2021, 35, 102274. DOI
13	TONG Z M, CHENG Z W, TONG S G. A review on the development of compressed air energy storage in China: technical and economic challenges to commercialization[J]. Renewable and Sustainable Energy Reviews, 2021, 135, 110178. DOI
14	LI R X, WANG H R, ZHANG H R. Dynamic simulation of a cooling, heating and power system based on adiabatic compressed air energy storage[J]. Renewable Energy, 2019, 138, 326- 339. DOI
15	QIN C, LOTH E. Liquid piston compression efficiency with droplet heat transfer[J]. Applied Energy, 2014, 114, 539- 550. DOI
16	BAZDAR E, SAMETI M, NASIRI F, et al. Compressed air energy storage in integrated energy systems: a review[J]. Renewable and Sustainable Energy Reviews, 2022, 167, 112701. DOI
17	JIANG R H, CAI Z D, PENG K W, et al. Thermo-economic analysis and multi-objective optimization of polygeneration system based on advanced adiabatic compressed air energy storage system[J]. Energy Conversion and Management, 2021, 229, 113724. DOI
18	YAO E R, WANG H R, WANG L G, et al. Multi-objective optimization and exergoeconomic analysis of a combined cooling, heating and power based compressed air energy storage system[J]. Energy Conversion and Management, 2017, 138, 199- 209. DOI
19	LIU Y R, DING Y X, YANG M L, et al. A trigeneration application based on compressed air energy storage integrated with organic Rankine cycle and absorption refrigeration: multi-objective optimisation and energy, exergy and economic analysis[J]. Journal of Energy Storage, 2022, 55, 105803. DOI
20	LIU J L, WANG J H. Thermodynamic analysis of a novel tri-generation system based on compressed air energy storage and pneumatic motor[J]. Energy, 2015, 91, 420- 429. DOI
21	HAN Z H, SUN Y, LI P. Research on energy storage operation modes in a cooling, heating and power system based on advanced adiabatic compressed air energy storage[J]. Energy Conversion and Management, 2020, 208, 112573. DOI
22	黄璜, 刘然, 李茜, 等. 地热能多级利用技术综述[J]. 热力发电, 2021, 50 (9): 1- 10. DOI
	HUANG Huang, LIU Ran, LI Qian, et al. Overview on multi-level utilization techniques of geothermal energy[J]. Thermal Power Generation, 2021, 50 (9): 1- 10. DOI
23	MENG N, LI T L, JIA Y N, et al. Techno-economic performance comparison of enhanced geothermal system with typical cycle configurations for combined heating and power[J]. Energy Conversion and Management, 2020, 205, 112409. DOI
24	孔珑. 工程流体力学[M]. 4版. 北京: 中国电力出版社, 2014.
25	WANG J L, WU J Y, ZHENG C Y. Simulation and evaluation of a CCHP system with exhaust gas deep-recovery and thermoelectric generator[J]. Energy Conversion and Management, 2014, 86, 992- 1000. DOI
26	王卫良, 王玉召, 吕俊复, 等. 大型燃煤电站锅炉能效评价与节能分析[J]. 中国电力, 2020, 53 (4): 177- 185.
	WANG Weiliang, WANG Yuzhao, LYU Junfu, et al. Energy efficiency assessment of large capacity coal-fired boiler based on exergy analysis[J]. Electric Power, 2020, 53 (4): 177- 185.
27	RAZMI A, SOLTANI M, AGHANAJAFI C, et al. Thermodynamic and economic investigation of a novel integration of the absorption-recompression refrigeration system with compressed air energy storage (CAES)[J]. Energy Conversion and Management, 2019, 187, 262- 273. DOI
28	LI X Y, SHU G Q, TIAN H, et al. Dynamic modeling of CO₂ transcritical power cycle for waste heat recovery of gasoline engines[J]. Energy Procedia, 2017, 105, 1576- 1581. DOI

设备	耗费㶲	收益㶲	㶲损失
压缩机1	${W_{{{\rm c1}}}}$	${E_2} - {E_1}$	${W_{{{\rm c1}}}} - {E_2} + {E_1}$
换热器1	${E_2} - {E_3}$	${E_{20}} - {E_{18}}$	${E_2} - {E_3} - {E_{20}} + {E_{18}}$
压缩机2	${W_{{{\rm c2}}}}$	${E_4} - {E_3}$	${W_{{{\rm c2}}}} - {E_4} + {E_3}$
换热器2	${E_4} - {E_5}$	${E_{21}} - {E_{19}}$	${E_4} - {E_5} - {E_{21}} + {E_{19}}$
膨胀机1	${E_8} - {E_9}$	${W_{{{\rm t1}}}}$	${E_8} - {E_9} - {W_{{{\rm t1}}}}$
换热器3	${E_{14}} - {E_{16}}$	${E_{10}} - {E_9}$	${E_{14}} - {E_{16}} - {E_{10}} + {E_9}$
膨胀机2	${E_{10}} - {E_{11}}$	${W_{{{\rm t2}}}}$	${E_{10}} - {E_{11}} - {W_{{{\rm t2}}}}$
换热器4	${E_{16}} - {E_{17}}$	${E_8} - {E_7}$	${E_{16}} - {E_{17}} - {E_8} + {E_7}$
泵	${W_{\text{p}}}$	${E_{14}} - {E_{13}} + {E_{15}} - {E_{13}}$	${W_{\text{p}}} - {E_{14}} + {E_{13}} - {E_{15}} + {E_{13}}$
储气室	${E_{\text{5}}}$	${E_6}$	${E_5} - {E_6}$

设备	耗费㶲	收益㶲	㶲损失
压缩机1	${W_{{{\rm c1}}}}$	${E_2} - {E_1}$	${W_{{{\rm c1}}}} - {E_2} + {E_1}$
换热器1	${E_2} - {E_3}$	${E_{20}} - {E_{18}}$	${E_2} - {E_3} - {E_{20}} + {E_{18}}$
压缩机2	${W_{{{\rm c2}}}}$	${E_4} - {E_3}$	${W_{{{\rm c2}}}} - {E_4} + {E_3}$
换热器2	${E_4} - {E_5}$	${E_{21}} - {E_{19}}$	${E_4} - {E_5} - {E_{21}} + {E_{19}}$
膨胀机1	${E_8} - {E_9}$	${W_{{{\rm t1}}}}$	${E_8} - {E_9} - {W_{{{\rm t1}}}}$
换热器3	${E_{14}} - {E_{16}}$	${E_{10}} - {E_9}$	${E_{14}} - {E_{16}} - {E_{10}} + {E_9}$
膨胀机2	${E_{10}} - {E_{11}}$	${W_{{{\rm t2}}}}$	${E_{10}} - {E_{11}} - {W_{{{\rm t2}}}}$
换热器4	${E_{16}} - {E_{17}}$	${E_8} - {E_7}$	${E_{16}} - {E_{17}} - {E_8} + {E_7}$
泵	${W_{\text{p}}}$	${E_{14}} - {E_{13}} + {E_{15}} - {E_{13}}$	${W_{\text{p}}} - {E_{14}} + {E_{13}} - {E_{15}} + {E_{13}}$
储气室	${E_{\text{5}}}$	${E_6}$	${E_5} - {E_6}$

设备		投资成本方程
压缩机		$ {P_{\rm{C}}} = 91\;562 {({{{W_{\text{c}}}} \mathord{\left/ {\vphantom {{{W_{\text{c}}}} {455}}} \right. } {455}})^{0.700}} $
换热器		$ {P_{\rm HEX}} = 130 {({A_{\rm HEX}}/0.093)^{0.780}} $
膨胀机		$ {P_{\rm{T}}} = 6\;000 ({W_{\rm TURB}}^{0.700}) $
泵		$ {P_{\rm{P}}} = 1\;120 {W_P}^{0.800} $
储气室		$ {P_{\rm ST}} = 4\;042 {V_{\rm ST}}^{0.506} $

设备		投资成本方程
压缩机		$ {P_{\rm{C}}} = 91\;562 {({{{W_{\text{c}}}} \mathord{\left/ {\vphantom {{{W_{\text{c}}}} {455}}} \right. } {455}})^{0.700}} $
换热器		$ {P_{\rm HEX}} = 130 {({A_{\rm HEX}}/0.093)^{0.780}} $
膨胀机		$ {P_{\rm{T}}} = 6\;000 ({W_{\rm TURB}}^{0.700}) $
泵		$ {P_{\rm{P}}} = 1\;120 {W_P}^{0.800} $
储气室		$ {P_{\rm ST}} = 4\;042 {V_{\rm ST}}^{0.506} $

设备	文献值/kW	计算值/kW	相对误差/%
压缩机	274.50^[27]	277.60	1.13
膨胀机	219.10^[27]	221.20	0.96
换热器	533.40^[27]	537.40	0.75
泵	180.00^[28]	182.00	1.11