可再生能源2024,Vol.42Issue(4) :433-439.

绿氢-绿氨工艺流程的多稳态模拟和动态响应

Multi-steady state simulation and dynamics responses of green hydrogen-green ammonia production process

李默 郭永坚 董晓莹
可再生能源2024,Vol.42Issue(4) :433-439.

绿氢-绿氨工艺流程的多稳态模拟和动态响应

Multi-steady state simulation and dynamics responses of green hydrogen-green ammonia production process

李默 1郭永坚 2董晓莹3
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作者信息

  • 1. 泰尔文特控制系统(中国)有限公司,北京 100176;剑维软件技术(上海)有限公司北京分公司,北京 100102
  • 2. 施耐德电气 (中国) 有限公司上海分公司,上海 200062;华东理工大学 化工学院,上海 200237
  • 3. 大连理工大学盘锦产业技术研究院,辽宁 盘锦 124221
  • 折叠

摘要

绿氢-绿氨工艺是指利用可再生能源发电、电解水制氢得到的氢气为原料合成氨的工艺流程,其具有受天气条件影响、负荷波动大、工段间耦合性强的特点.为研究绿氢-绿氨工艺流程中发输变电、电解水制氢、储氢、电化学储能、合成氨等工段之间的系统集成和协同调度方案,利用新一代流程模拟软件AVEVA Process Simulation建立了稳态-动态双模式通用型绿氢-绿氨全流程工艺模型,并通过多稳态模拟的手段分析了系统对天气变化的动态响应.结果表明,合理设计和调度储氢和储能单元不仅可以显著稳定化工生产、合理消纳可再生电力,还能稳定网电补充,提高整体经济效益.

Abstract

Ammonia synthesis based on hydrogen derived from renewable electricity(i.e.green hydrogen and green ammonia process)is frequently fluctuated due to weather change and the sections are highly coupled.To understand the synthesis and scheduling of power generation and transmission,hydrogen production by water electrolysis,hydrogen storage,electrochemical energy storage,and ammonia synthesis sections in green ammonia process,a generic process model for both steady-state and dynamics mode was developed using the next generation process simulation software,AVEVA Process Simulation,and the dynamics response of the model to weather fluctuation was investigated by means of multi-steady state simulation.The results show that optimized design and scheduling of the hydrogen storage and electricity storage modules can significantly stabilize the ammonia production,utilize excess renewable electricity,reduce grid power input,and thus,improve the economy.

关键词

可再生能源/绿氢/绿氨/合成氨/流程模拟/动态响应

Key words

renewable energy/green hydrogen/green ammonia/ammonia synthesis/process simulation/dynamics response

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基金项目

国家自然科学基金青年基金项目(52200146)

辽宁省区域创新联合基金项目(2022-PJLH-03)

出版年

2024
可再生能源
辽宁省能源研究所 中国农村能源行业协会 中国资源综合利用协会可再生能源专委会 中国生物质能技术开发中心 辽宁省太阳能学会

可再生能源

CSTPCD北大核心
影响因子:0.605
ISSN:1671-5292
参考文献量20
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