Thermal-fluid-solid coupling of electric heat storage device based on wind power absorption

doi:10.12028/j.issn.2095-4239.2019.0060

Abstract

Abstract: The inadequate peak shaving capacity of power grid and the serious problem of wind abandonment restrict the expansion of wind power generation scale in China. It is a trend to solve a large number of wind abandonment problems in China by allocating heat storage to participate in wind power peak shaving and changing the traditional restriction mode of "fxing electricity by heat". It is of great signifcance to study the heat transfer process in the electro thermal energy storage device for improving the effciency of the electro thermal energy storage device. For the phenomena of flow, heat transfer and stress in solid electric regenerator, a three-dimensional coupled heat transfer mathematical model of heat-fluid-solid is established. The fluid-solid coupled heat transfer model is used to transform the heat flow boundary which is diffcult to determine into the internal boundary of the system. The distribution of temperature feld and stress feld in solid electric regenerator is analyzed, and the effects of three different porosity and wire arrangement on temperature distribution uniformity and deformation of regenerator were compared The research results have certain reference value for improving the effciency of solid electric heat storage device and peak shaving of power grid.

Key words: wind power, electric heat storage, fluid-solid coupling, temperature uniformity, numerical simulation

CLC Number:

TK82

ZHANG Xueping, QI Fengsheng, XING Zuoxia, SHAN Jianbiao, Li Baokuan. Thermal-fluid-solid coupling of electric heat storage device based on wind power absorption[J]. Energy Storage Science and Technology, 2019, 8(4): 689-695.

References

[1] 谢国辉, 樊昊. 东北地区风电运行消纳形势及原因分析[J]. 中国电力, 2014, 47(10):152-155. XIE Guohui, FAN Hao. Analysis of wind power operation absorption situation and reasons in northeast China[J]. Electric Power, 2014, 47(10):152-155.
[2] 邵姝珺. 分布式电网蓄能系统应用研究[D]. 哈尔滨:哈尔滨工业大学, 2017. SHAO Shujun. Application research on distributed energy storage system[D]. Harbin:Harbin Institute of Techology, 2017.
[3] 陈磊, 徐飞, 王晓, 等. 储热提升风电消纳能力的实施方式及效果分析[J]. 中国电机工程学报, 2015, 35(17):4283-4290. CHEN Lei, XU Fei, WANG Xiao, et al. Implementation and effect of thermal storage in improving wind power accommodation[J]. Proceedings of the CSEE, 2015, 35(17):4283-4290.
[4] CISEK, TALER. Numerical and experimental study of a solid matrix electric thermal storage unit dedicated to environmentally friendly residential heating system[J]. Energy & Buildings, 2016,130:747-760.
[5] LIZARRAGA GARCIA, MITSOS. Effect of heat transfer structures on thermoeconomic performance of solid thermal storage[J]. Energy, 2014, 68:896-909.
[6] KHARE S, AMICO M, KNIGHT C, et al. Selection of materials for high temperature sensible energy storage[J]. Solar Energy Materials and Solar Cells, 2012, 107:20-27.
[7] 廖晋. 固体电蓄热装置的传热特性研究[D]. 哈尔滨:哈尔滨工业大学, 2014. LIAO Jin. Research on heat transfer characteristics of solid electric heat storage device[D]. Harbin:Harbin Institute of Technology, 2014.
[8] 胡思科, 周林林, 邢姣娇. 圆形和椭圆形孔道固体蓄热装置蓄放热特性模拟[J]. 热力发电, 2018, 47(1):38-45. HU Sike, ZHOU Linlin, XING Jiaojiao. Simulation on heat discharge and heat storage performance of solid heat storage device with round and oval pore canals[J]. Thermal Power Generation, 2018, 47(1):38-45.
[9] TURNER D Z, NAKSHATRALA K B, MARTINEZ M J. A framework for coupling flow and deformation of the porous solid[J]. International Journal of Geomechanics, 2015, 15(5):04014076.
[10] 张涛, 朱晓军, 彭飞, 等. 近壁面处理对湍流数值计算的影响分析[J]. 海军工程大学学报, 2013, 25(6):104-108. ZHANG Tao, ZHU Xiaojun, PENG Fei, et al. Analysis of effect of near-wall treatments on numerical computation of turbulent flow[J]. Journal of Naval University of Engineering, 2013, 25(6):104-108.
[11] BALOGH M, PARENTE A, BENOCCI C. RANS simulation of ABL flow over complex terrains applying an enhanced k-ε model and wall function formulation[J]. Journal of Wind Engineering & Industrial Aerodynamics, 2012:104-106.
[12] Fluent Inc. Fluent User's Guide[R]. Fluent Inc, 2003.
[13] TIAN S, BARIGOU M. An improved vibration technique for enhancing temperature uniformity and heat transfer in viscous fluid flow[J]. Chemical Engineering Science, 2010(123):609-619.

[1]	Guohui FENG, Tianyu WANG, Gang WANG. A simulation analysis on the effect of encapsulation mode on the heat storage and release performance of phase change water tank [J]. Energy Storage Science and Technology, 2022, 11(7): 2161-2176.
[2]	Wenlan YE, Ming ZHAO, Mingyu HU, Yang TIAN. Analysis of heat storage and release performance of tube bundle phase change heat accumulator [J]. Energy Storage Science and Technology, 2022, 11(7): 2151-2160.
[3]	Zhongbo LI, Jingxiao HAN, Chengcheng WANG, Hui YANG, Na YANG, Shaowu YIN, Li WANG, Lige TONG, Zhiwei TANG, Yulong DING. Simulation and the parameter influence relationship of the discharging process in a thermochemical reactor [J]. Energy Storage Science and Technology, 2022, 11(7): 2133-2140.
[4]	WU Xiaoling, ZHOU Tao, LIU Yuzhao, DU Yanping, CHEN Huiping, LI Shun. Numerical study on cooling enhancement of micro devices by designing turbulence based hollow micro pin-fin arrays with lateral holes [J]. Energy Storage Science and Technology, 2022, 11(6): 1980-1987.
[5]	Luyu GAN, Rusong CHEN, Hongyi PAN, Siyuan WU, Xiqian YU, Hong LI. Multiscale research strategy of lithium ion battery safety issue： Experimental and simulation methods [J]. Energy Storage Science and Technology, 2022, 11(3): 852-865.
[6]	Xiaobin XU, Yefei XU, Hengyun ZHANG, Shunliang ZHU, Haifeng WANG. Multiobjective optimization of thermal performance and grouping efficiency for air cooling battery module [J]. Energy Storage Science and Technology, 2022, 11(2): 553-562.
[7]	Yulong CHEN, Xin WU, Wei TENG, Yibing LIU. Power coordinated control strategy of flywheel energy storage array for wind power smoothing [J]. Energy Storage Science and Technology, 2022, 11(2): 600-608.
[8]	Ang LI, Xiaomeng LI, Lin YANG, Han WANG, Junfan XIANG, Yuhan LIU. Compression force calculation of redox flow battery [J]. Energy Storage Science and Technology, 2022, 11(2): 609-614.
[9]	Hui TIAN, Dong HUA, Maoli MAN, Chunzhe LIU, Guojun LI, Xiongwen ZHANG. Numerical study on carbon deposition characteristics of planar solid oxide fuel cell [J]. Energy Storage Science and Technology, 2022, 11(1): 291-296.
[10]	Shitan ZHANG, Shuai CHU, Weichun GE, Yinxuan LI, Chuang LIU. Evaluation method for the coordinated regulation of large-scale abandoned wind power and heat storage [J]. Energy Storage Science and Technology, 2022, 11(1): 283-290.
[11]	Xiaoguang ZHANG, Xiaonan PAN, Jinming LI, Li LIU, Yan HE. Effect of battery arrangement on the phase change thermal management performance of lithium-ion battery packs [J]. Energy Storage Science and Technology, 2022, 11(1): 127-135.
[12]	Xinlei CAI, Yanlin Cui, Kai DONG, Zijie MENG, Yuan PAN, Zhenfan YU, Jixing WANG, Xiangzhan MENG, Yang YU. Day-ahead optimal scheduling approach of wind-storage joint system based on improved K-means and MADDPG algorithm [J]. Energy Storage Science and Technology, 2021, 10(6): 2200-2208.
[13]	Zheng LI, Zhen LIU, Huawei WU, Dongsheng XIE, Wei QIAN. The transient flow field characteristics of tangential leakage in scroll compressor [J]. Energy Storage Science and Technology, 2021, 10(5): 1579-1588.
[14]	Lihui LIU, Hang ZHANG, Zian PENG, Jie LI, Xiaoqin SUN. Energy storage optimization of a plate-type phase change heat exchanger [J]. Energy Storage Science and Technology, 2021, 10(5): 1745-1752.
[15]	Bin LIU, Ziqiang HU, Kuining LI, Yi XIE, Jintao ZHENG. Experimental and simulation on battery thermal management based on a large flat heat pipe [J]. Energy Storage Science and Technology, 2021, 10(4): 1364-1373.