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1. 华北电力大学能源动力与机械工程学院
2. 国核电力规划设计研究院有限公司
纸质出版:2025
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[1]周家辉,仝冰,王海鸣,等.协同化工多稳态柔性运行策略的绿氨系统容量配置优化[J],2025,54(08):50-60.
[1]周家辉,仝冰,王海鸣,等.协同化工多稳态柔性运行策略的绿氨系统容量配置优化[J],2025,54(08):50-60. DOI: 10.19666/j.rlfd.202411251.
DOI:10.19666/j.rlfd.202411251.
在“双碳”背景下,电制氨技术(renewable power to ammonia
RePtA)因能规模化消纳可再生能源与绿氢而受到广泛关注。然而,Re PtA系统中可再生能源制氢量具有明显波动性,这对哈伯-博世合成氨工艺的稳定运行带来挑战。对此,提出了一种合成氨离散多稳态柔性运行策略,并使用PSO-MILP算法建立了一个协同化工运行调度的容量配置两阶段优化模型,基于内蒙古某在建示范项目,对比分析了3种不同柔性方案的技术经济性能。研究表明:离散多稳态柔性策略相比传统稳态策略,经济性大幅度提高,年收益可增加6 715万元;相比完全柔性策略,合成氨工艺的运行稳定性显著增强,生产负荷波动率降低了78.16%。该优化模型可以兼顾RePtA系统的投资经济性与运行安全性,其成果有望为实际生产运行提供一定指导。
In the context of carbon peak and carbon neutrality
renewable power to ammonia(RePtA) technology has garnered widespread attentions due to its ability to scale up the consumption of renewable energy and green hydrogen. However
the hydrogen production from renewable energy in RePtA systems exhibits significant volatility
posing challenges to stable operation of the Haber-Bosch ammonia synthesis process. To address this issue
a discrete multi-steady-state flexible load operation strategy for ammonia synthesis process is proposed. A two-stage optimization model for capacity configuration and coordinated chemical operation scheduling is established using the PSO-MILP algorithm. A case simulation analysis was conducted on a demonstration project under construction in Inner Mongolia
and the technical and economic performance of three different flexible schemes was compared. The result indicates that
compared with the conventional steady state schemes
the discrete multi-state flexible operation strategy's economic efficiency improved significantly after capacity and operation coordination optimization
with annual revenue increased by 67 150 000 yuan. Compared with the fully flexible operation strategies
the new strategy significantly enhances the stability of the ammonia synthesis process
reducing production load volatility by 78.16%. The proposed optimization model can balance the investment economic efficiency and operational safety of the RePtA system
and its findings are expected to provide some guidance for actual production operations.
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