氨分解制氢储能系统容量对电力系统性能的影响

doi:10.19799/j.cnki.2095-4239.2023.0362

储能科学与技术 ›› 2024, Vol. 13 ›› Issue (2): 589-597.doi: 10.19799/j.cnki.2095-4239.2023.0362

氨分解制氢储能系统容量对电力系统性能的影响

王运¹(), 蒙飞¹, 张超¹, 李涛¹, 田波¹, 李江鹏¹, 陈海东¹(), 张志华²

^1.国网宁夏电力有限公司，宁夏银川 750001
^2.国网陕西省电力有限公司电力科学研究院，陕西西安 710000

收稿日期:2023-05-25 修回日期:2023-09-11 出版日期:2024-02-28 发布日期:2024-03-01
通讯作者: 陈海东 E-mail:275270864@qq.com;guessme2022@163.com
作者简介:王运（1986—），男，硕士，高级工程师，研究方向为大电网智能调控，E-mail：275270864@qq.com；
基金资助:
宁夏回族自治区基金项目《支撑新型电力系统灵活运行的广域储能协同控制方法研究》(2023AAC03830)

Effect of ammonia decomposition hydrogen production and energy storage system capacity on performance of power system

Yun WANG¹(), Fei MENG¹, Chao ZHANG¹, Tao LI¹, Bo TIAN¹, Jiangpeng LI¹, Haidong CHEN¹(), Zhihua ZHANG²

^1.State Grid Ningxia Electric Power Co. , Ltd. , Yinchuan 750001, Ningxia, China
^2.State Grid Shaanxi Electric Power Co. , Ltd. , Institute of Electricity Science, Xi'an 710000, Shaanxi, China

Received:2023-05-25 Revised:2023-09-11 Online:2024-02-28 Published:2024-03-01
Contact: Haidong CHEN E-mail:275270864@qq.com;guessme2022@163.com

摘要/Abstract

摘要：

由于在储能和制氢方面具有显著的优势，氨制氢储能系统可以在未来“双碳”目标推进和能源系统建设中扮演重要角色。本工作模拟了氨分解管式填充床反应器在电加热情况下的工作特性，并将其纳入到考虑源荷两侧不确定性和风光火储的电力系统中。分析了在三种不同电力系统装机构成下，氨分解系统装机容量增加对电力系统的度电成本、度电碳排放、新能源发电占比、新能源利用率和氢气日产量等性能指标的影响。结果表明：氨分解系统可以有效提高新能源发电消纳水平，不同装机构成下配备最大氨分解系统容量可使得新能源利用率提高5.5%~62.4%，新能源发电占比提高14.2%~160.8%；由此带来的度电碳排放降低0.9%~22.8%，而度电成本提高7.6%~34.5%；氢气日产量分别达到3.9万吨、10.4万吨和17.1万吨。本文研究结果可为在电力系统中配置氨分解制氢储能系统以推动碳减排和氢能技术发展提供参考。

关键词: 氨分解, 制氢, 储能系统, 碳排放量, 发电成本, 电力系统

Abstract:

Due to its remarkable advantages, the ammonia decomposition hydrogen production and energy storage system are crucial for advancing future dual carbon goals and energy system construction. Herein, the operating characteristics of an ammonia decomposition tubular filled-bed reactor under electrical heating are simulated and incorporated into a power system, considering uncertainties on both sides of the source load. The effects of increased capacity of the installed ammonia decomposition system on the performance indicators of the power system, such as electricity costs, carbon emissions per kWh, share of new energy generation, utilization rate of new energy, and daily hydrogen production, are analyzed under three different power system installation compositions. The results show that the ammonia decomposition system can effectively improve the consumption level of new energy generation. The maximum capacity of the ammonia decomposition system can increase the utilization rate of new energy by 5.5%—62.4% and the share of new energy generation by 14.2%—160.8% under the three compositions; the resulting carbon emissions from electricity generation are reduced by 0.9%—22.8%, and the cost of electricity generation is increased by 7.6%—34.5%. For the three compositions, the daily hydrogen production reaches 39,000, 104,000, and 171,000 tons, respectively. The results of this study can provide a reference for configuring the ammonia decomposition hydrogen storage system in the power system to reduce carbon emission and promote hydrogen energy technology development.

Key words: ammonia decomposition, hydrogen production, energy storage system, carbon emissions, power generation cost, power system

中图分类号:

TM 74

王运, 蒙飞, 张超, 李涛, 田波, 李江鹏, 陈海东, 张志华. 氨分解制氢储能系统容量对电力系统性能的影响[J]. 储能科学与技术, 2024, 13(2): 589-597.

Yun WANG, Fei MENG, Chao ZHANG, Tao LI, Bo TIAN, Jiangpeng LI, Haidong CHEN, Zhihua ZHANG. Effect of ammonia decomposition hydrogen production and energy storage system capacity on performance of power system[J]. Energy Storage Science and Technology, 2024, 13(2): 589-597.

图/表 13

图1

表1

图2

图3

表2

表3

图4

图5

表4

图6

图7

图8

图9

参考文献 23

1	LOVEGROVE K, LUZZI A. Endothermic reactors for an ammonia based thermochemical solar energy storage and transport system[J]. Solar Energy, 1996, 56(4): 361-371.
2	ANDREAS L. Solar thermo-catalytic ammonia dissociation[D]. Canberra: The Australian University, 1996
3	LOVEGROVE K. Exergetic optimization of a solar thermochemical energy storage system subject to real constraints[J]. International Journal of Energy Research, 1993, 17(9): 831-845.
4	MALCOLM L K. Aspects of thermochemical storage and transfer of solar energy using ammonia[D]. Canberra: The Australian University, 1992
5	KREETZ H, LOVEGROVE K. Theoretical analysis and experimental results of a 1 kW_chem ammonia synthesis reactor for a solar thermochemical energy storage system[J]. Solar Energy, 1999, 67(4/5/6): 287-296.
6	LUZZI A, LOVEGROVE K, FILIPPI E, et al. Techno-economic analysis of a 10 mW_e solar thermal power plant using ammonia-based thermochemical energy storage[J]. Solar Energy, 1999, 66(2): 91-101.
7	XIE T C, XIA S J, HUANG J L, et al. Performance analysis of a solar heating ammonia decomposition membrane reactor under co-current sweep[J]. Membranes, 2022, 12(10): 972.
8	XIE T C, XIA S J, KONG R, et al. Performance analysis of ammonia decomposition endothermic membrane reactor heated by trough solar collector[J]. Energy Reports, 2022, 8: 526-538.
9	XIE T C, XIA S J, JIN Q L. Thermodynamic optimization of ammonia decomposition solar heat absorption system based on membrane reactor[J]. Membranes, 2022, 12(6): 627.
10	陈海东, 蒙飞, 王庆, 等. 储能系统和新能源发电装机容量对电力系统性能的影响[J]. 储能科学与技术, 2023, 12(2): 477-485.
	CHEN H D, MENG F, WANG Q, et al. Influence of installed capacity of energy storage system and renewable energy power generation on power system performance[J]. Energy Storage Science and Technology, 2023, 12(2): 477-485.
11	陟晶, 张高航, 邵冲, 等. 含大规模风电及光热电站的电力系统优化调度方法[J]. 电力工程技术, 2021, 40(1): 79-85.
	ZHI J, ZHANG G H, SHAO C, et al. Optimal dispatching method for power system with large scale wind power and concentrated solar power plant[J]. Electric Power Engineering Technology, 2021, 40(1): 79-85.
12	郭琛良, 张德虎, 许昌, 等. 配合风电消纳的综合储能系统经济容量优化研究[J]. 可再生能源, 2022, 40(5): 660-666.
	GUO C L, ZHANG D H, XU C, et al. Study on economic capacity optimization of comprehensive energy storage system combined with wind power consumption[J]. Renewable Energy Resources, 2022, 40(5): 660-666.
13	冯飞波, 闫兴德, 郑宝强, 等. 蓄电-氢储混合储能系统的配电网双层优化[J]. 系统仿真学报, 2022, 34(7): 1405-1416.
	FENG F B, YAN X D, ZHENG B Q, et al. Bi-level optimization of distribution network for hybrid energy storage system of storage battery and hydrogen storage[J]. Journal of System Simulation, 2022, 34(7): 1405-1416.
14	杨文强, 常彬. 计及多影响因素的发电侧混合储能系统容量配置方法及配置工具[J]. 储能科学与技术, 2022, 11(10): 3246-3256.
	YANG W Q, CHANG B. Research on the configuration method & tool for the hybrid energy storage system on the power generation side[J]. Energy Storage Science and Technology, 2022, 11(10): 3246-3256.
15	丁志勇. 风电场短期功率预测方法研究[D]. 广州: 华南理工大学, 2012.
	DING Z Y. Study of short-term prediction of wind power[D]. Guangzhou: South China University of Technology, 2012.
16	刘昊, 柳亦兵, 辛卫东, 等. 基于运行数据的风力发电机组功率特性分析[J]. 电网与清洁能源, 2009, 25(7): 53-56.
	LIU H, LIU Y B, XIN W D, et al. Wind turbine power performance based on the operation data[J]. Power System and Clean Energy, 2009, 25(7): 53-56.
17	龙建平, 王桢, 林玥廷, 等. 燃煤机组度电成本及边际成本的实时获取方法[J]. 广东电力, 2020, 33(6): 53-58.
	LONG J P, WANG Z, LIN Y T, et al. Real-time acquisition method of electricity cost and marginal cost of coal-fired units[J]. Guangdong Electric Power, 2020, 33(6): 53-58.
18	高向前. 风电项目全寿命周期度电成本管理研究[D]. 兰州: 兰州交通大学, 2021.
	GAO X Q. Research on life cycle cost per kilowatt hour management of wind power project[D]. Lanzhou: Lanzhou Jiatong University, 2021.
19	王嘉阳, 周保荣, 吴伟杰, 等. 西部集中式与东部分布式光伏平准化度电成本研究[J]. 南方电网技术, 2020, 14(9): 80-89.
	WANG J Y, ZHOU B R, WU W J, et al. Levelized cost of energy of centralized photovoltaic power in Western China and distributed photovoltaic power in eastern China[J]. Southern Power System Technology, 2020, 14(9): 80-89.
20	张广宇. 关于光伏和风电项目度电成本的分析[J]. 中国电业(技术版), 2016(6): 69-73.
	ZHANG G Y. The analysis on the cost of per kWh of solar power and wind power[J]. China Electric Power, 2016(6): 69-73.
21	荆涛, 田锡天. 基于蒙特卡洛-自适应差分进化算法的飞机容差分配多目标优化方法[J]. 航空学报, 2022, 43(3): 425278.
	JING T, TIAN X T. Multi-objective optimization method for aircraft tolerance allocation based on Monte Carlo-adaptive differential evolution algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(3): 425278.
22	席英杰, 张崇兴, 董明, 等. 基于蒙特卡洛模拟的声电联合局部放电定位阵列设计及快速定位方法研究[J]. 电网技术, 2023, 47(7): 3029-3039.
	XI Y J, ZHANG C X, DONG M, et al. Acoustic-electric joint sensor array design and fast partial discharge localization technology based on Monte Carlo simulation[J]. Power System Technology, 2023, 47(7): 3029-3039.
23	殷勤, 缪继东, 张晓明, 等. 基于马尔科夫链蒙特卡洛的台区可靠性评估方法[J]. 电工电气, 2021(5): 7-11.
	YIN Q, MIAO J D, ZHANG X M, et al. A method for evaluating the reliability of transformer area based on Markov chain Monte Carlo[J]. Electrotechnics Electric, 2021(5): 7-11.

参数	取值
反应器长度	5 m
反应器内半径	3.4 cm
反应器壁厚	0.1 cm
氨气入口流率	0.18 mol/s
氨气入口温度	400 K
反应压力	400 kPa

工况	火力发电/GW	风力发电/GW	光伏发电/GW	氨-氢储能/GW
Case 1	70	20	20	0～10
Case 2	75	30	30	0～30
Case 3	80	40	40	0～50

[1]	韩宁宁, 许壮, 何广利. 电解水制高压氢气——技术挑战与研究进展[J]. 储能科学与技术, 2024, 13(2): 626-633.
[2]	张金亚, 周文博, 程紫漪漪. 基于LBM的泡沫金属与翅片相变储能系统性能对比分析[J]. 储能科学与技术, 2024, 13(2): 598-607.
[3]	刘洋恺, 孙伟卿, 刘唯. 基于AHP和TOPSIS-模糊综合评价的多场景储能选型方法[J]. 储能科学与技术, 2024, 13(2): 691-701.
[4]	张茜茜. 相变储冷技术在食品冷链物流中的应用[J]. 储能科学与技术, 2024, 13(2): 480-482.
[5]	逯云杰. 电力汽车储能系统控制技术研究[J]. 储能科学与技术, 2024, 13(2): 608-610.
[6]	宋元明, 刘亚杰, 金光, 周星, 黄旭程. 锂离子电池/超级电容器混合储能系统能量管理方法综述[J]. 储能科学与技术, 2024, 13(2): 652-668.
[7]	田凌浒, 袁炳夏. 基于数据预处理和计算机VMD-LSTM-GPR的储能系统离子电池剩余寿命预测[J]. 储能科学与技术, 2024, 13(1): 336-338.
[8]	李晓丽. 基于非线性互补算法的太阳能电池储能系统设计与网络建模[J]. 储能科学与技术, 2024, 13(1): 339-341.
[9]	刘红, 李俊霞. 高比能二次锂电池电极材料的储能系统配电网运行建模与仿真研究[J]. 储能科学与技术, 2024, 13(1): 342-344.
[10]	闫旭鹏, 卢启辰, 任志博, 王金意, 王晓龙, 刘丽萍, 王伟, 郭伟琦, 刘鹏, 李方家. 水电解制氢用商业化阴离子交换膜发展现状[J]. 储能科学与技术, 2023, 12(9): 2811-2822.
[11]	许永红, 吴玉庭, 张红光, 杨富斌, 王焱. 基于气动马达的微型压缩空气储能系统的试验研究[J]. 储能科学与技术, 2023, 12(6): 1854-1861.
[12]	陈绪昌, 王育飞, 薛花. 基于MDP-ADMM的数据中心储能系统优化运行方法[J]. 储能科学与技术, 2023, 12(6): 1890-1900.
[13]	孙晓霞, 桂中华, 高梓玉, 周冰倩, 刘夏, 张新敬, 郭欢, 李文, 盛勇, 朱阳历, 周健, 徐玉杰. 压缩空气储能系统动态运行特性[J]. 储能科学与技术, 2023, 12(6): 1840-1853.
[14]	管敏渊, 沈建良, 徐国华, 汤舜, 张炜鑫, 曹元成. 锂离子电池储能系统靶向消防装备设计与性能[J]. 储能科学与技术, 2023, 12(4): 1131-1138.
[15]	武鑫, 尚文举, 马志勇, 滕伟, 张爽, 罗海荣. 抽水蓄能-飞轮混合储能系统协调控制方法[J]. 储能科学与技术, 2023, 12(2): 468-476.

氨分解制氢储能系统容量对电力系统性能的影响

Effect of ammonia decomposition hydrogen production and energy storage system capacity on performance of power system

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 13

参考文献 23

相关文章 15

编辑推荐

Metrics

本文评价