Studying the effect of dynamic operation conditions on green ammonia production synthesis loop

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Raj Patel , Amin Soleimani Mehr , Jimena Incer Valverde , Günter Scheffknecht , Jörg Maier , Reihaneh Zohourian
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Abstract

The global challenges meeting hydrogen demands due to limited renewable resources urge the need for low-cost imports. Green ammonia, promising for its existing infrastructure, encounters inflexibility challenges in large-scale production with renewables. This study delves into ammonia synthesis loop flexibility amid renewable intermittencies. Utilizing an Aspen Plus® model of 1223 tonnes per day ammonia production capacity, the transient behavior under varied feed flow was investigated with Aspen Dynamics™ simulations. The findings indicated that effective strategies enabled managing a minimum load of 10 % or lower under stoichiometric conditions, constrained by the electrolysis system's lower load. The study also concluded that the ammonia synthesis unit's 20 %/hr feed flow ramp rate is restricted by the thermal cycling of the reactor catalyst; the consequences of fast ramp-up and ramp-down of the operational parameters such as feed flow or stoichiometric ratio are the primary limits in green ammonia production or dynamic operation of the plant.
研究动态操作条件对绿色氨生产合成回路的影响
由于可再生资源有限,满足氢需求的全球挑战促使需要低成本进口。绿色氨对其现有的基础设施很有希望,但在可再生能源的大规模生产中遇到了缺乏灵活性的挑战。本研究深入研究了可再生间歇性中氨合成回路的灵活性。利用每天1223吨氨生产能力的Aspen Plus®模型,通过Aspen Dynamics™模拟研究了不同进料流量下的瞬态行为。研究结果表明,在电解系统较低负荷的限制下,有效的策略能够在化学计量条件下管理10 %或更低的最小负荷。研究还得出结论,氨合成装置的20 %/hr进料流量斜坡速率受到反应器催化剂热循环的限制;操作参数(如进料流量或化学计量比)的快速上升和下降的后果是绿色氨生产或工厂动态操作的主要限制。
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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