Optimization of an SOC green hydrogen production storage and transportation system based on electricity-heat-gas multienergy coupling

doi:10.19799/j.cnki.2095-4239.2025.0310

Abstract

Abstract:

In response to the challenges of absorbing green power caused by the variability of wind and solar resources, the limited efficiency of conventional water electrolysis methods for hydrogen production, and the high costs associated with H₂ storage and transportation, this paper proposes a solid oxide cell (SOC)-based hydrogen storage and electricity-heat-gas multienergy coupling optimization model incorporating a hydrogen-doped natural gas pipeline network. A dynamic coupling model is constructed, encompassing wind power, photovoltaic systems, heating systems, SOC hydrogen storage, and hydrogen-doped transportation systems. With green power utilization rate, cost-effectiveness, and carbon reduction as key optimization objectives-and considering the uncertainty of renewable energy output, energy balance constraints for electricity and thermal gas, and operational limitations of H₂ production, storage, and transportation-integrated optimization is used to obtain the optimal solution. A simulation experiment was conducted on a multienergy flow cycle system involving electricity and thermal energy in a specific park in Xinjiang, where the annual abandoned wind and solar power totaled 11520 MWh). The results demonstrated that the SOC-based hydrogen energy storage system can achieve 100% utilization of renewable power, reducing annual operating costs by ¥2.14 million and carbon emissions by 1068 tons compared to conventional energy storage methods (battery and thermal storage). By optimizing the electric-to-thermal ratio coefficient of combined heat and power, the electrolysis efficiency of SOCs increased to 85%, while the waste heat utilization rate reached 90%, thereby maximizing of the driving force for water electrolysis. At a 30% volume mixing ratio, the natural gas consumption in the hydrogen-doped pipeline network decreased by 23%, the total system cost was reduced by over 50%, frictional pressure loss in the pipeline was minimized, node pressure improved, and overall transportation capacity significantly enhanced. The return on investment was substantially improved, offering valuable insights for large-scale renewable energy integration and facilitating efficient, cost-effective, long-distance, and safe H₂ transport.

Key words: solid oxide cells, hydrogen-doped, green power, hydrogen energy storage, combined heat and power

CLC Number:

TM 911

Yaqing HE, Weiqing WANG, Haocheng WANG, Yingtian CHI, Jiarong LI, Shan HE, Bowen LIU, Xinyan ZHANG. Optimization of an SOC green hydrogen production storage and transportation system based on electricity-heat-gas multienergy coupling[J]. Energy Storage Science and Technology, 2025, 14(10): 3824-3838.

Figures/Tables 18

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Table 1

Table 2

SOC voltage simulation model and experimental data"

参数	理论值/V	实验值/V	偏差/%
$U a$	0.06	0.063	5
$U n$	0.01	0.011	10
$U o$	0.04	0.043	7.5
$U r$	1.28	1.297	1.3
$U c$	1.39	1.414	1.7

Table 2

Fig. 5

Table 3

Table 4

Fig. 6

Table 5

Fig. 7

Table 6

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

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参数	数值	单位
水的有效扩散系数	1.69×10^-5	m²/s
室温	25	℃
系统预热温度区间	[110，120]	℃
电堆温度区间	[800，860]	℃
电堆口最大温差	200	℃
活化过电压惯性	0.25	s
电流控制的惯性	0.03	s
电槽温度惯性	123.4	kJ/K
泵组转动惯量	[1.3 1.3 1.3]^T	10^-4 kg·m²
余热回收效率	65％	1

时段	时间	价格/(元/kWh)
峰时段	8∶00—11∶00，19∶00—24∶00	0.6574
平时段	11∶00—13∶00，17∶00—19∶00，0∶00—4∶00	0.4157
谷时段	4∶00—8∶00，13∶00—17∶00	0.1740

储能类型	参数	单位	数值
SOC储能	SOC配置功率	MW	9.8
	储氢器容量	MWh	11.9
	SOC电池价格	元/kW	5000
	储氢器价格	元/kWh	1.7
	SOEC电解效率	%	85
	SOFC转化效率	%	60
	余热利用率	%	90
	氢气充放效率	%	99

常规储能	蓄电池功率	MW	4.8
	蓄电池容量	MWh	24
	储热器容量	MWh	56
	蓄电池价格	元/kWh	700
	蓄电池充放效率	%	80
	储热器成本	元/kWh	2.6
	储热器充放效率	%	90

支路	气体流量/(Nm³/h)	管径/mm	长度/km
1—2	5200	d₁=323.9	4
2—3	2600	d₂=219.1	10
2—4	2600	d₂=219.1	12
3—5	1700	d₃=168.3	6
4—6	1700	d₃=168.3	6
6—7	720	d₄=114.3	4

储能类型	年均弃风弃光量	年均运行成本
SOC储能	0 MWh	2569万元
常规储能	11520 MWh	2654万元