GTCC-SOEC制氢储能耦合深度调峰系统建模研究

王一丰; 肖俊峰; 胡孟起; 夏林; 连小龙; 史宗历

doi:10.19666/j.rlfd.202506112

English

您当前的位置：

首页 >

文章列表页 >

GTCC-SOEC制氢储能耦合深度调峰系统建模研究

Thermal Power Generation Vol. 55, Issue 2, Pages: 158-169(2026)

更新时间：2026-08-07

- GTCC-SOEC制氢储能耦合深度调峰系统建模研究
- 作者机构：
  
  西安热工研究院有限公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202506112
  CLC： TM611.31
- Published：2026
- 稿件说明：
移动端阅览
[1]王一丰,肖俊峰,胡孟起,等.GTCC-SOEC制氢储能耦合深度调峰系统建模研究[J].热力发电,2026,55(02):158-169.
[1]王一丰,肖俊峰,胡孟起,等.GTCC-SOEC制氢储能耦合深度调峰系统建模研究[J].热力发电,2026,55(02):158-169. DOI： 10.19666/j.rlfd.202506112.

DOI：10.19666/j.rlfd.202506112.

摘要

构建了燃气-蒸汽联合循环机组(gas turbine combined cycle

GTCC)耦合固体氧化物电解槽(solid oxide electrolysis cell

SOEC)的制氢储能深度调峰(小于30%额定容量)模型，论证了制氢储能消纳可再生能源的系统内电热资源高效匹配的可行性。通过机器学习预测GTCC变工况发电功率，利用余热锅炉模型计算蒸汽参数，并结合SOEC热化学模型计算制氢电耗和热耗。结果表明：SOEC电解电压和制氢量可快速响应输入电能的变化，生成氢气的热惯性温差能稳定在25～27℃；当调峰深度(可再生能源消纳量和额定容量的比值)从50%增至100%时，储能调峰系统整体效率从47.8%升高至55.3%;GTCC-SOEC消纳可再生能源使制氢总能耗从6.7 k J/m

降低到5.8 k J/m

，降幅达13.4%;SOEC制氢热耗约为制氢电耗的80%，耦合制氢系统效率比GTCC单独调峰发电效率仅低3.15%～3.34%；调峰深度每提升1%，制氢量可增加约0.1 t/h，天然气燃烧排放CO

可减少0.64 t/h。考虑储能成本和天气影响后，机组日运行8 h，当风、光大发时段从0增长到1.5 h，掺氢体积比增至30%，而储氢-释氢循环内平均效率从基准值56.7%升高到62.5%；当可再生能源每日上网时长达到2.5 h，储氢-释氢循环内平均效率能达到67.1%；当储能调峰补贴与电价之比小于0.2时，成本产值率随储-网电量之比的增大呈先降后升趋势，当补贴与电价之比大于0.2时，成本产值率随储-网电量之比的增大而持续升高。

Abstract

A model for hydrogen production and storage during deep peak-shaving(less than 30% of rated capacity) was established by coupling a gas turbine combined cycle(GTCC) unit with a solid oxide electrolysis cell(SOEC)

demonstrating the feasibility of efficiently matching electrothermal resources within the system to accommodate renewable energy. Machine learning was used to predict GTCC variable-load power output

heat recovery boiler models were used to calculate steam parameters

and SOEC thermochemical models were applied to determine hydrogen production electricity and heat consumption. Results show that SOEC electrolysis voltage and hydrogen production can quickly respond to changes in input electrical energy

with the thermal inertia temperature difference of hydrogen production stabilizing at 25～27 ℃. When the peak shaving depth(the ratio of accommodated renewable energy to rated capacity) increased from 50% to 100%

the overall efficiency of the energy storage peak shaving system rose from 47.8% to 55.3%. Using GTCC-SOEC to accommodate renewable energy reduced the total energy consumption of hydrogen production from 6.7 kJ/m

to 5.8 kJ/m

with a reduction of 13.4%. SOEC hydrogen production heat consumption is about 80% of the electricity consumption

and the efficiency of the coupled hydrogen production system is only approximately 3.15%～3.34% lower than the efficiency of GTCC standalone peak-shaving power generation. For every 1% increase in peak shaving depth

hydrogen production increases by about 0.1 t/h

and CO

emissions from natural gas combustion decrease by 0.64 t/h. Considering storage costs and weather impacts

when the unit operates for 8 hours per day

as the peak periods for wind and solar generation increase from 0 to 1.5 hours

the hydrogen blending volume ratio increases to 30%

and the average efficiency of the hydrogen storage-release cycle increases from the baseline 56.7% to 62.5%; When the daily online duration of renewable energy reaches 2.5 hours

the average efficiency within the cycle can reach 67.1%. When the ratio of peak-shaving subsidy to electricity price is less than 0.2

the cost-to-output ratio initially decreases and then increases with the ratio of stored to grid electricity. When the subsidy-to-electricity price ratio is greater than 0.2

the cost-to-output ratio continuously increases with the stored-to-grid electricity ratio.

关键词

Keywords

references

池立勋,周淑慧,黄龑,等.新型电力系统中气电与煤电调峰经济性研究[J].国际石油经济, 2024. 32(9):56-67.CHI Lixun, ZHOU Shuhui, HUANG Yan, et al. Research on the economy of peak shaving between the gas-fired power generation and the coal-fired power generation in the new power system[J]. International Petroleum Economics, 2024, 32(9):56-67.

王一丰,肖俊峰,胡孟起,等.重型燃气轮机联合循环机组掺氢燃烧发电模型及变负荷研究[J].热力发电,2022, 51(11):129-139.WANG Yifeng, XIAO Junfeng, HU Mengqi, et al.Modeling and load-following analysis of hydrogen fueled power generation of heavy-duty gas turbine combined cycle unit[J]. Thermal Power Generation, 2022, 51(11):129-139.

王永志,沈阳,祝和铁,等.基于氢燃气轮机的“氢储燃”储能技术与应用方案[J].风机技术, 2024, 66(6):76-84.WANG Yongzhi, SHEN Yang, ZHU Hetie, et al. Research and application of hydrogen gas turbine in integrated hydrogen production, stored energy and combustion proposals[J]. Chinese Journal of Turbomachinery, 2024,66(6):76-84.

朱寰,刘国静,张兴,等.天然气发电与电池储能调峰政策及经济性对比[J].储能科学与技术, 2021, 10(6):2392-2402.ZHU Huan, LIU Guojing, ZHANG Xing, et al. Policy and economic comparison of natural gas power generation and battery energy storage in peak regulation[J]. Energy Storage Science and Technology, 2021, 10(6):2392-2402.

石坤,陈宋宋,陈雪洁,等.多时间尺度下考虑电制氢细分能力和等效负荷分解的电网调峰研究[J].电气传动, 2025, 55(1):50-60.SHI Kun, CHEN Songsong, CHEN Xuejie, et al. Grid peak-shaving study considering electrolytic hydrogen production segmentation capacity and equivalent load disaggregation in multi-time scale[J]. Electric Drive,2025, 55(1):50-60.

ESCAMILLA A, SÁNCHEZ D, GARCÍA-RODRÍGUEZ L. Assessment of power-to-power renewable energy storage based on the smart integration of hydrogen and micro gas turbine technologies[J]. International Journal of Hydrogen Energy, 2022, 47(40):17505-17525.

王林,刘晓莎,胡平,等.基于氢储能的煤电机组灵活性改造方案研究[J].工业加热, 2024, 53(4):63-67.WANG Lin, LIU Xiaosha, HU Ping, et al. Research on the flexibility transformation scheme of coal motor unit based on hydrogen energy storage[J]. Industrial Heating, 2024,53(4):63-67.

王林,高景辉,何信林,等.基于SOEC-OEC双工艺耦合的火电机组全容量长寿命调峰技术研究[J].热力发电, 2024, 53(4):125-132.WANG Lin, GAO Jinghui, HE Xinlin, et al. Full capacity long life peak shaving technology for thermal power units based on SOEC-OEC dual-process coupling[J]. Thermal Power Generation, 2024, 53(4):125-132.

刘晓莎,胡平,王林.基于SOEC的新型电力系统调峰技术研究[J].化工机械, 2025, 52(1):167-173.LIU Xiaosha, HU Ping, WANG Lin. Research on peak shaking technology of new power systems based on SOEC[J]. Chemical Mechanics, 2025, 52(1):167-173.

王林,刘晓莎,胡平,等.固体氧化物电解槽辅助煤电机组深度调峰技术可行性研究[J].热力发电, 2024,53(2):133-141.WANG Lin, LIU Xiaosha, HU Ping, et al. Feasibility study on deep peak shaving technology for SOEC assisted coal-fired power units[J]. Thermal Power Generation,2020, 5(2):15-20.

曹炜,钟厦,王海华,等.制氢系统参与火电辅助调峰的容量配置优化[J].分布式能源, 2020, 5(2):15-20.CAO Wei, ZHONG Xia, WANG Haihua, et al. Optimal capacity allocation of hydrogen production system participating peak regulation for auxiliary with thermal power plant[J]. Distributed Energy, 2020, 5(2):15-20.

胡任智,陈高伟,胡斐,等.计及新型储能系统的调峰补偿机制及效益分析[J].电力系统及其自动化学报,2025, 37(5):67-77.HU Renzhi, CHEN Gaowei, HU Fei, et al. Peak shaving compensation mechanism and benefits considering new energy storage systems[J]. Proceedings of the CSUEPSA, 2025, 37(5):67-77.

ARSLAN O, ACIKKALP E, GENC G. A multi-generation system for hydrogen production through the hightemperature solid oxide electrolyzer integrated to 150 MW coal-fired steam boiler[J]. Fuel, 2022, 315:123201.

HOSSEINI S E. Integrating a gas turbine system and a flameless boiler to make steam for hydrogen production in a solid oxide steam electrolyzer[J]. Applied Thermal Engineering, 2020, 180:115890.

HOSSEINI S E. Design and analysis of renewable hydrogen production from biogas by integrating a gas turbine system and a solid oxide steam electrolyzer[J].Energy Conversion and Management, 2020, 211:112760.

HOSSEINI S. E. Performance evaluation of a solarized gas turbine system integrated to a high temperature electrolyzer for hydrogen production[J]. International Journal of Hydrogen Energy, 2020, 45(41):21068-21086.

WANG F, WANG L, OU Y, et al. Thermodynamic analysis of solid oxide electrolyzer integration with engine waste heat recovery for hydrogen production[J]. Case Studies in Thermal Engineering, 2021, 27:101240.

LI B, CHEN H, LI J, et al. Thermodynamic and economic analysis of a novel multi-generation system integrating solid oxide electrolysis cell and compressed air energy storage with SOFC-GT[J]. Energy Conversion and Management, 2023, 293:117552.

黄呈帅,梁健,李波,等.基于掺氢燃气轮机的综合能源系统热经济学性能研究[J].中国电力, 2024, 57(1):195-208.HUANG Chengshuai, LIANG Jian, LI Bo, et al. Study on the thermo-economic performance of a integrated energy system based on hydrogen-fueled gas turbine[J]. Electric Power, 2024, 57(1):195-208.

ZOGHI M, HOSSEINZADEH N, GHARAIE S, et al. 4E optimization comparison of different bottoming systems for waste heat recovery of gas turbine cycles, internal combustion engines, and solid oxide fuel cells in powerhydrogen production systems[J]. Process Safety and Environmental Protection, 2024, 187:549-580.

PIRKANDI J, PENHANI H, MAROUFI A. Thermodynamic analysis of the performance of a hybrid system consisting of steam turbine, gas turbine and solid oxide fuel cell(SOFC-GT-ST)[J]. Energy Conversion and Management, 2020, 213:112816.

NOURPOUR M, MANESH M K. Evaluation of novel integrated combined cycle based on gas turbine-SOFCgeothermal-steam and organic Rankine cycles for gas turbo compressor station[J]. Energy Conversion and Management, 2022, 252:115050.

佟勇婧,王军,池立勋,等.集成化学链制氢的CO2零排放SOFC/GT/ORC混合动力系统性能[J].热力发电,2025, 54(5):44-53.TONG Yongjing, WANG Jun, CHI Lixun, et al.Performance study of CO2 zero emission SOFC/GT/ORC hybrid power system integrated with chemical chain hydrogen production[J]. Thermal Power Generation,2025, 54(5):44-53.

王一丰,翟春华,黄庆,等.大功率燃气轮机联合循环机组三压再热余热锅炉建模及变负荷运行规律研究.热力发电, 2023, 52(12):79-89.WANG Yifeng, ZHAI Chunhua, HUANG Qing, et al. Offdesign modeling of heat recovery steam generator in heavy-duty gas turbine combined cycle unit and variable load operation research[J]. Thermal Power Generation,2023, 52(12):79-89.

王一丰,翟春华,黄庆,等.重型燃气轮机联合循环机组三压再热余热锅炉动态建模及运行规律研究[J].热力发电, 2024, 53(11):89-100.WANG Yifeng, ZHAI Chunhua, HUANG Qing, et al.Dynamic modeling of heat recovery steam generator in heavy-duty gas turbine combined cycle unit and variable load operation research[J]. Thermal Power Generation,2024, 53(11):89-100.

ZHOU H, YING Y, LI J, et al. Long-short term memory and gas path analysis based gas turbine fault diagnosis and prognosis[J]. Advances in Mechanical Engineering, 2021,13(8):16878140211037767.

李晓丰,孔庆龙,肖俊峰,等.不同掺氢比例对天然气混氢燃料特性参数的影响研究[J].电站系统工程,2025, 41(1):1-3.LI Xiaofeng, KONG Qinglong, XIAO Junfeng, et al.Study on effect of different hydrogen mixing ratios on characteristic parameters of natural gas-hydrogen blended fuel[J]. Power System Engineering, 2025, 41(1):1-3.

Views

149

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

Dynamic modeling and operating rules of three-pressure reheat waste heat recovery steam generator in heavy-duty gas turbine combined cycle unit

基于物理信息神经网络的超临界燃煤发电机炉协调系统动态建模研究

燃煤锅炉低负荷工况下乏气提温技术数值模拟研究

Reason analysis for corrosion of low carbon steel in flue gas from an LNG power plant

Dynamic modeling of NOx production considering input variable time-delay

Related Author

WANG Yifeng

ZHAI Chunhua

HUANG Qing

XIAO Junfeng

NIU Chenhui

SU Xinmin

JIAO Daoshun

PAN Henan

Related Institution

School of Energy and Power Engineering, Xi'an Jiaotong University

Huaneng Nanjing Gas Turbine Power Generation Co., Ltd

Huaneng International Power Jiangsu Energy Development Co., Ltd

Xi'an Thermal Power Research Institute Co., Ltd

东南大学大型发电装备安全运行与智能测控国家工程研究中心

AI问答

⁰