Optimization of Liquefied Air Energy Storage System Coupled with Organic Rankine Cycle

doi:10.11930/j.issn.1004-9649.201908048

Abstract

Abstract: Energy storage is an important technical route to solve the intermittence and instability issue of renewable energy generation, such as wind energy and solar energy. Hence in this paper, regarding the low cycle efficiency of conventional liquefied air energy storage system, the organic Rankine cycle is introduced to make use of the compressed heat generated during the liquefaction stage. To construct the liquefied air energy storage model coupled with organic Rankine cycle, the system cycle efficiency and the exergy efficiency in the air energy release and generation stage are set as objective functions. The outlet pressure of compressor unit, the outlet pressure of cryopump, the narrow temperature difference of cold box and the efficiency of heat exchanger are taken as decision variables respectively. And the non-inferior classification genetic algorithm NSGA-II is used for multi-objective optimization. The Pareto optimal frontier curve is then depicted and by virtue of the TOPSIS optimization method, the optimal system design scheme is obtained with the nearest approximation degree in which the corresponding system cycle efficiency is 62.75%.

Key words: liquid air energy storage, organic Rankine cycle, cycle efficiency, exergy efficiency, NSGA-II

LI Jianshe, DONG Yihua, LUO Haihua. Optimization of Liquefied Air Energy Storage System Coupled with Organic Rankine Cycle[J]. Electric Power, 2020, 53(1): 124-129.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201908048

https://www.electricpower.com.cn/EN/Y2020/V53/I1/124

References

[1] LIU Z, GUAN D B, WEI W, et al. Reduced carbon emission estimates from fossil fuel combustion and cement production in China[J]. Nature, 2015, 524(7565):335-338.
[2] FLOUDAS C A, NIZIOLEK A M, ONEL O, et al. Multi-scale systems engineering for energy and the environment:challenges and opportunities[J]. Aiche Journal, 2016, 62(3):602-623.
[3] FENG L, MEARS L, BEAUFORT C, et al. Energy, economy, and environment analysis and optimization on manufacturing plant energy supply system[J]. Energy Conversion & Management, 2016, 117:454-465.
[4] BRANDT A R, HEATH G A, KORT E A, et al. Methane leaks from North American natural gas systems[J]. Science, 2014, 343(6172):733-735.
[5] 徐玉杰, 陈海生, 刘佳, 等. 风光互补的压缩空气储能与发电一体化系统特性分析[J]. 中国电机工程学报, 2012, 32(20):88-95, 144
XU Yujie, CHEN Haisheng, LIU Jia, et al. Performance analysis on an integrated system of compressed air energy storage and electricity production with wind-solar complementary method[J]. Proceedings of the CSEE, 2012, 32(20):88-95, 144
[6] OTSUKI T. Costs and benefits of large-scale deployment of wind turbines and solar PV in Mongolia for international power exports[J]. Renewable Energy, 2017, 108:321-335.
[7] FAN X C, WANG W Q, SHI R J, et al. Analysis and countermeasures of wind power curtailment in China[J]. Renewable & Sustainable Energy Reviews, 2015, 52:1429-1436.
[8] FERREIRA H L, GARDE R, FULLI G, et al. Characterisation of electrical energy storage technologies[J]. Energy, 2013, 53(5):288-298.
[9] 李玉平, 徐玉杰, 李斌, 等. 跨临界二氧化碳储能系统研究[J]. 中国电机工程学报, 2018, 38(21):6367-6374, 6499
LI Yuping, XU Yujie, LI Bin, et al. Research on transcritical carbon dioxide energy storage system[J]. Proceedings of the CSEE, 2018, 38(21):6367-6374, 6499
[10] CHEN H, CONG T N, YANG W, et al. Progress in electrical energy storage system:a critical review[J]. Progress in Natural Science Materials International, 2009, 19(3):291-312.
[11] LUO X, WANG J, DOONER M, et al. Overview of current development in electrical energy storage technologies and the application potential in power system operation[J]. Applied Energy, 2015, 137:511-536.
[12] SCIACOVELLI A, VECCHI A, DING Y. Liquid air energy storage (LAES) with packed bed cold thermal storage-from component to system level performance through dynamic modelling[J]. Applied Energy, 2017, 190:84-98.
[13] GUIZZI G L, MANNO M, TOLOMEI L M, et al. Thermodynamic analysis of a liquid air energy storage system[J]. Energy, 2015, 93:1639-1647.
[14] 刘佳, 夏红德, 陈海生, 等. 新型液化空气储能技术及其在风电领域的应用[J]. 工程热物理学报, 2010, 31(12):1993-1996
LIU Jia, XIA Hongde, CHEN Haisheng, et al. A novel energy storage technology based on liquid air and ITS application in wind power[J]. Journal of Engineering Thermophysics, 2010, 31(12):1993-1996
[15] XIE Yingbai, XUE Xiaodong. Thermodynamic analysis on an integrated liquefied air energy storage and electricity generation system[J]. Energies, 2018, 11(10):2540.
[16] SHE X, PENG X, NIE B, et al. Enhancement of round trip efficiency of liquid air energy storage through[J]. Applied Energy, 2017, 206:1632-1642.
[17] MORGAN R, NELMES S, GIBSON E, et al. Liquid air energy storage-analysis and first results from a pilot scale demonstration plant[J]. Applied Energy, 2015, 137:845-853.
[18] 安保林, 王俊杰, 段远源. 联合液化空气储能的有机朗肯循环研究[J]. 工程热物理学报, 2018, 39(3):471-475
AN Baolin, WANG Junjie, DUAN Yuanyuan. Research on the combing of organic Rankine cycle and liquid air energy storage system[J]. Journal of Engineering Thermophysics, 2018, 39(3):471-475
[19] ROCCO M V, COLOMBO E, SCIUBBA E. Advances in exergy analysis:a novel assessment of the extended exergy accounting method[J]. Applied Energy, 2014, 113:1405-1420.
[20] BISWAS S, MANDAL K K, CHAKRABORTY N. Pareto-efficient double auction power transactions for economic reactive power dispatch[J]. Applied Energy, 2016, 168:610-627.
[21] PELZ P F, HOLL M, PLATZER M. Analytical method towards an optimal energetic and economical wind-energy converter[J]. Energy, 2016, 94:344-351.
[22] LI Y, LIAO S, LIU G. Thermo-economic multi-objective optimization for a solar-dish Brayton system using NSGA-Ⅱ and decision making[J]. International Journal of Electrical Power & Energy Systems, 2015, 64:167-175.
[23] AHMADI M H, SAYYAADI H, MOHAMMADI A H, et al. Thermo-economic multi-objective optimization of solar dish-Stirling engine by implementing evolutionary algorithm[J]. Energy Conversion & Management, 2013, 73(5):370-380.
[24] YUE Z. A method for group decision-making based on determining weights of decision makers using TOPSIS[J]. Applied Mathematical Modelling, 2011, 35(4):1926-1936.
[25] 元博, 张运洲, 鲁刚, 等. 电力系统中储能发展前景及应用关键问题研究[J]. 中国电力, 2019, 52(3):1-8
YUAN Bo, ZHANG Yunzhou, LU Gang, et al. Research on key issues of energy storage development and application in power systems[J]. Electric Power, 2019, 52(3):1-8