Design of the CHP system integrated with SOFC

doi:10.3969/j.issn.2097-0706.2022.08.002

Abstract

Abstract:

The software Aspen Plus is taken to simulate a combined heating and power system integrated with solid oxide fuel cells（SOFC-CHP）. Taking a 1 kW SOFC-CHP system as an example,the simulation method can make quick judgement on the heat and power supply situations of the system with different fuels and under various load requirements. The test results show that in the ideal condition,the power generation efficiency of the SOFC can reach 51%,the thermal efficiency can peak at 42%,and the emitted CO₂ mole fraction can be 70%. This method can greatly shorten the calculation time and facilitate the efficiency improvement of the system.

Key words: solid oxide fuel cell, combined heating and power, process simulation, heat transfer, electrochemical

CLC Number:

TK01

LUO Liqi, WANG Yue, ZHONG Haijun, LI Qingxun, XIE Guangyuan, WANG Shaorong. Design of the CHP system integrated with SOFC[J]. Integrated Intelligent Energy, 2022, 44(8): 25-32.

Figures/Tables 5

Fig.1

Table 1

Table 2

Table 3

Table 4

References 31

[1]	任喜洋, 邓锋, 高兵, 等. 推动能源资源结构向绿色低碳转型[J]. 中国国土资源经济, 2021, 34(12): 48-54,76.
	REN Xiyang, DENG Feng, GAO Bing, et al. Promote the transformation of energy and resource structure to green and low-carbon development[J]. Natural Resource Economics of China, 2021, 34(12): 48-54,76.
[2]	王志峰, 何雅玲, 康重庆, 等. 明确太阳能热发电战略定位促进技术发展[J]. 华电技术, 2021, 43(11): 1-4.
	WANG Zhifeng, HE Yaling, KANG Chongqing, et al. Strategic positioning of solar thermal power generation to promote technological progress[J]. Huadian Technology, 2021, 43(11): 1-4.
[3]	马文会, 于洁, 陈秀华. 固体氧化物燃料电池新型材料[J]. 分析化学, 2014, 42 (11): 1645.
	MA Wenhui, YU Jie, CHENG Xiuhua. New materials for solid oxide fuel cells[J]. Chinese Journal of Analytical Chemistry, 2014, 42 (11): 1645.
[4]	胡小夫, 汪洋, 田立, 等. 中高温SOFC/MGT联合发电技术研究进展[J]. 华电技术, 2019, 41(8): 1-5.
	HU Xiaofu, WANG Yang, TIAN Li, et al. Progress in intermediate and high temperature SOFC/MGT combined power generation technology[J]. Huadian Technology, 2019, 41(8): 1-5.
[5]	刘合, 梁坤, 张国生, 等. 碳达峰、碳中和约束下我国天然气发展策略研究[J]. 中国工程科学, 2021, 23(6):33-42.
	LIU He, LIANG Kun, ZHANG Guosheng, et al. China's natural gas development strategy under the constraints of carbon peak and carbon neutrality[J]. Strategic Study of CAE, 2021, 23(6):33-42.
[6]	张俊锋, 许文娟, 王跃锜, 等. 面向碳中和的中国碳排放现状调查与分析[J]. 华电技术, 2021, 43(10): 1-10.
	ZHANG Junfeng, XU Wenjuan, WANG Yueqi, et al. Investigation and analysis on carbon emission status in China on the path to carbon neutrality[J]. Huadian Technology, 2021, 43(10): 1-10.
[7]	殷建平, 王泽鹏. 我国发展天然气发电产业的战略选择——天然气热电联产与气电调峰比较研究[J]. 价格理论与实践, 2019(11): 11-14.
	YIN Jianping, WANG Zepeng. China's strategic choice for developing natural gas power generation industry—Comparative study on natural gas cogeneration and gas electricity peak shaving[J]. Price:Theory & Practice, 2019(11): 11-14.
[8]	ZENG R, GUO B, ZHANG X, et al. Study on thermodynamic performance of SOFC-CCHP system integrating ORC and double-effect ARC[J]. Energy Conversion and Management, 2021, 242: 114326. doi: 10.1016/j.enconman.2021.114326
[9]	宋鹏飞, 单彤文, 李又武, 等. 以天然气为原料的燃料电池分布式供能技术路径研究[J]. 现代化工, 2020, 40(9): 14-19.
	SONG Pengfei, SHANG Tongwen, LI Youwu, et al. Founding paths to supply energy in a distributed way by fuel cell with natural gas as raw materials[J]. Modern Chemical Industry, 2020, 40(9): 14-19.
[10]	张尹路, 李文甲, 康利改. 智慧供热在分布式燃气供热中的应用与优化提升[J]. 华电技术, 2020, 42(11): 14-20.
	ZHANG Yinlu, LI Wenjia, KANG Ligai. Application and optimization of intelligent heating in distribute gas heating systems[J]. Huadian Technology, 2020, 42(11): 14-20.
[11]	朱海东, 郝浩, 郑剑, 等. 基于冷热电多能互补的园区综合能源系统设计[J]. 华电技术, 2021, 43(4): 34-38.
	ZHU Haidong, HAO Hao, ZHENG Jian, et al. Design of integrated energy system for parks based on complementation of cold, heat and electricity[J]. Huadian Technology, 2021, 43(4): 34-38.
[12]	ZHANG S, LIU H, LIU M, et al. An efficient integration strategy for a SOFC-GT-SORC combined system with performance simulation and parametric optimization[J]. Applied Thermal Engineering, 2017, 121: 314-324. doi: 10.1016/j.applthermaleng.2017.04.066
[13]	GHOLAMIAN E, ZARE V. A comparative thermodynamic investigation with environmental analysis of SOFC waste heat to power conversion employing Kalina and Organic Rankine Cycles[J]. Energy Conversion and Management, 2016, 117: 150-161. doi: 10.1016/j.enconman.2016.03.011
[14]	PENG M Y P, CHEN C, PENG X, et al. Energy and exergy analysis of a new combined concentrating solar collector, solid oxide fuel cell, and steam turbine CCHP system[J]. Sustainable Energy Technologies and Assessments, 2020, 39: 100713. doi: 10.1016/j.seta.2020.100713
[15]	PALOMBA V, FERRARO M, FRAZZICA A, et al. Experimental and numerical analysis of a SOFC-CHP system with adsorption and hybrid chillers for telecommunication applications[J]. Applied Energy, 2018, 216: 620-633. doi: 10.1016/j.apenergy.2018.02.063
[16]	LIU Y, HAN J, YOU H. Performance analysis of a CCHP system based on SOFC/GT/CO₂ cycle and ORC with LNG cold energy utilization[J]. International Journal of Hydrogen Energy, 2019, 44(56): 29700-29710. doi: 10.1016/j.ijhydene.2019.02.201
[17]	PARK S K, AHN J H, KIM T S. Performance evaluation of integrated gasification solid oxide fuel cell/gas turbine systems including carbon dioxide capture[J]. Applied Energy, 2011, 88(9): 2976-2987. doi: 10.1016/j.apenergy.2011.03.031
[18]	MEHRPOOYA M, SADEGHZADEH M, RAHIMI A, et al. Technical performance analysis of a Combined Cooling Heating and Power (CCHP) system based on Solid Oxide Fuel Cell (SOFC) technology—A building application[J]. Energy Conversion and Management, 2019, 198: 111767. doi: 10.1016/j.enconman.2019.06.078
[19]	MEHR A S, MOSAYEBNEZHAD M, LANZINI A, et al. Thermodynamic assessment of a novel SOFC based CCHP system in a wastewater treatment plant[J]. Energy, 2018, 150: 299-309. doi: 10.1016/j.energy.2018.02.102
[20]	HOU Q, ZHAO H, YANG X. Economic performance study of the integrated MR-SOFC-CCHP system[J]. Energy, 2019, 166: 236-245. doi: 10.1016/j.energy.2018.10.072
[21]	Plus A. 11.1 user guide[J]. Aspen Technology, 2011, 2001.
[22]	ZHANG W, CROISET E, DOUGLAS P L, et al. Simulation of a tubular solid oxide fuel cell stack using Aspen Plus^TM unit operation models[J]. Energy Conversion and Management, 2005, 46(2): 181-196. doi: 10.1016/j.enconman.2004.03.002
[23]	SONG T W, SOHN J L, KIM J H, et al. Performance analysis of a tubular solid oxide fuel cell/micro gas turbine hybrid power system based on a quasi-two dimensional model[J]. Journal of Power Sources, 2005, 142(1-2): 30-42. doi: 10.1016/j.jpowsour.2004.10.011
[24]	BAE Y, LEE S, YOON K J, et al. Three dimensional dynamic modeling and transport analysis of solid oxide fuel cells under electrical load change[J]. Energy Conversion and Management, 2018, 165: 405-418. doi: 10.1016/j.enconman.2018.03.064
[25]	CHAN S H, KHOR K A, XIA Z T. A complete polarization model of a solid oxide fuel cell and its sensitivity to the change of cell component thickness[J]. Journal of Power Sources, 2001, 93(1-2): 130-140. doi: 10.1016/S0378-7753(00)00556-5
[26]	MEHR A S, LANZINI A, SANTARELLI M, et al. Polygeneration systems based on high temperature fuel cell (MCFC and SOFC) technology:System design, fuel types, modeling and analysis approaches[J]. Energy, 2021, 228: 120613. doi: 10.1016/j.energy.2021.120613
[27]	DANESHPOUR R, MEHRPOOYA M. Design and optimization of a combined solar thermophotovoltaic power generation and solid oxide electrolyser for hydrogen production[J]. Energy Conversion and Management, 2018, 176: 274-286. doi: 10.1016/j.enconman.2018.09.033
[28]	MEHRPOOYA M, DEHGHANI H, MOOSAVIAN S M A. Optimal design of solid oxide fuel cell, ammonia-water single effect absorption cycle and Rankine steam cycle hybrid system[J]. Journal of Power Sources, 2016, 306: 107-123. doi: 10.1016/j.jpowsour.2015.11.103
[29]	MEHRPOOYA M, GHORBANI B, JAFARI B, et al. Modeling of a single cell micro proton exchange membrane fuel cell by a new hybrid neural network method[J]. Thermal Science and Engineering Progress, 2018, 7: 8-19. doi: 10.1016/j.tsep.2018.04.012
[30]	MEHRPOOYA M, AKBARPOUR S, VATANI A, et al. Modeling and optimum design of hybrid solid oxide fuel cell-gas turbine power plants[J]. International Journal of Hydrogen Energy, 2014, 39(36): 21196-21214. doi: 10.1016/j.ijhydene.2014.10.077
[31]	WEINLAENDER C, ALBERT J, GABER C, et al. Investigation of subsystems for combination into a sofc-based CCHP system[J]. Journal of Electrochemical Energy Conversion and Storage, 2019, 16(2):021003. doi: 10.1115/1.4041727

输入参数	数值
空气摩尔流量/(mol·min^-1)	4.490
重整水蒸气摩尔流量/(mol·min^-1)	0.358
氧气摩尔流量/(mol·min^-1)	0.169
甲烷摩尔流量/(mol·min^-1)	0.143
纯水摩尔流量/(mol·min^-1)	0.810
自来水体积流量/(L·min^-1)	6
所需功率/kW	1
水碳摩尔比	2.5
空气过量系数	5
重整器重整比率	0.9
SOFC燃料利用率/%	70
燃烧器燃料利用率/%	100
电池入口温度/℃	700
燃料进气温度/℃	25
纯氧进气温度/℃	25
纯水进料温度/℃	25
自来水进料温度/℃	25

组件	Aspen Plus模块	描述
阳极	RGibbs	对电化学反应进行模拟
阴极	Sep	对电池中氧离子从阴极转向阳极进行模拟
重整器	RStoic	对重整反应和水气转化反应进行模拟
燃烧器	RStoic	对阳极尾气与纯氧的充分燃烧进行模拟
分离器	Sep	对水气分离进行模拟
换热器	Heater	对热流和冷流的热量交换进行模拟

输出结果	数值
电流/A	149 646.7
电压/V	0.71
SOFC输出功率/kW	1.08
热水量/kW	0.48
蒸汽量/kW	0.43
SOFC净发电效率/%	51
热水效率/%	22
蒸汽效率/%	20
系统热效率/%	42
系统综合能量利用率/%	93
CO₂排放摩尔分数/%	70

流股序号	温度/ ℃	摩尔焓/(kJ·mol^-1)	摩尔熵/ [kJ·(mol·K)^-1]	焓流量/kW	摩尔流量/ (mol·min^-1)
1	25.000	-74.540	-0.081	-0.178	0.143
2	281.314	-184.670	-0.028	-1.542	0.501
3	700.000	-165.863	-0.003	-1.385	0.501
4	699.596	-71.432	0.046	-0.903	0.758
5	858.573	-175.334	0.033	-2.300	0.787
6	1 031.476	-214.050	0.053	-6.264	1.756
7	802.714	-224.892	0.044	-6.581	1.756
8	685.197	-230.257	0.039	-6.738	1.756
9	622.448	-233.058	0.036	-6.820	1.756
10	93.759	-254.450	0.000	-7.446	1.756
11	60.000	-266.488	-0.035	-7.799	1.756
12	60.000	-264.308	0.010	-4.898	1.112
13	60.000	-264.308	0.010	-0.933	0.212
14	60.000	-264.308	0.010	-3.965	0.900
15	25.000	-0.009	0.004	-0.001	4.490
16	570.000	16.595	0.035	1.242	4.490
17	700.000	20.835	0.040	1.559	4.490
18	25.000	-287.741	-0.168	-3.885	0.810
19	91.840	-282.275	-0.151	-3.811	0.810
20	200.000	-235.893	-0.029	-3.185	0.810
21	200.000	-235.893	-0.029	-0.511	0.130
22	200.000	-235.893	-0.029	-2.673	0.680
23	400.000	-228.660	-0.017	-2.591	0.680
24	400.000	-228.660	-0.017	-1.227	0.322
25	400.000	-228.660	-0.017	-1.364	0.358
26	25.000	-287.741	-0.168	-1 594.1	332.410
27	25.780	-287.678	-0.168	-1 593.7	332.410
28	858.573	26.084	0.044	1.871	4.304
29	656.400	19.364	0.038	1.389	4.304
30	95.112	2.043	0.009	0.147	4.304
31	60.000	1.015	0.006	0.073	4.304
32	25.000	-0.010	-0.001	0.000	0.169