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基于重力储能应对长期可再生能源不确定性下的离网式绿色氨系统灵活设计与运行
Flexible design and operation of off-grid green ammonia systems with gravity energy storage under long-term renewable power uncertainty
| 作者 | Jiahui Zhou · Bing Tong · Haiming Wang · Gang Xu · Runzhi Zhang · Wentao Zhang |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 388 卷 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Integrating gravity energy storage into green ammonia systems for the first time. |
语言:
中文摘要
摘要 传统的氨生产过程严重依赖化石燃料,因此迫切需要重新设计合成工艺,以减少温室气体排放并应对资源枯竭的挑战。利用可再生能源驱动的离网式氨合成提供了一条可行的路径,可用于生产无碳氨。然而,离网式绿色氨工厂面临的一个重大挑战是在间歇性和不可预测的风能与光伏电力条件下,确保相对缺乏灵活性的氨合成单元的可靠运行。为应对这一挑战,本研究提出了一种新型的离网式绿色氨系统以及针对氨合成的离散多稳态灵活控制策略。首次将重力储能技术集成到大规模绿色氨项目中,以在有限的灵活运行能力下保障氨合成反应器的持续供电。所提出系统的最优设计与运行被建模为一个混合整数非线性问题,并通过分段线性化方法将其重构为线性形式。此外,充分考虑了可再生能源发电的随机特性。基于Copula函数理论和马尔可夫随机过程,构建了一个场景生成框架,以满足化工生产的长期模拟需求。通过案例研究验证了所提方法的有效性。同时开展了敏感性分析,评估风能与光伏电力配置、负荷调节周期以及系统组件成本对系统收益和模块容量的影响。本研究为绿色氨系统的系统配置与灵活运行提供了新的见解,有望指导实际绿色氨工厂的建设与运行。
English Abstract
Abstract The conventional ammonia production process heavily depends on fossil fuels , making it urgent to redesign the synthesis process to reduce greenhouse gas emissions and address the challenges of depleting resources. Off-grid ammonia synthesis powered by renewable energy offers a feasible pathway to producing carbon-free ammonia. However, a significant challenge for off-grid green ammonia plants is ensuring the reliable operation of the relatively inflexible ammonia synthesis units under intermittent and unpredictable wind and photovoltaic power conditions. To address this challenge, this study proposes a novel off-grid green ammonia system and a discrete multi-stable flexible control strategy for ammonia synthesis. For the first time, gravity energy storage is integrated into a large-scale green ammonia project to ensure a continuous power supply to the ammonia synthesis reactor under limited flexible operation. The optimal design and operation of the proposed system are modeled as a mixed-integer nonlinear problem , which is reformulated into a linear version through piecewise linearization. Additionally, the stochastic nature of renewable energy generation is fully considered. A scenario generation framework based on Copula function theory and Markov stochastic processes is developed to accommodate the long-term simulation needs of chemical production. The effectiveness of the proposed method is validated through a case study. A sensitivity evaluation is also carried out to analyze the impact of wind and photovoltaic power configurations, load adjustment periods, and system component costs on system revenue and module capacity. This study provides new insights into the system configuration and flexible operation of green ammonia systems and is expected to guide the construction and operation of practical green ammonia plants.
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SunView 深度解读
该离网绿氨系统研究对阳光电源储能业务具有重要战略价值。文中提出的重力储能与光伏风电协同方案,可与我司PowerTitan储能系统及ST系列PCS形成互补配置,解决氨合成装置在间歇性可再生能源下的连续供电难题。其多稳态柔性控制策略可借鉴至我司GFM/VSG控制技术,优化离网场景下的功率调度算法。基于Copula函数的长周期随机性建模方法,可集成到iSolarCloud平台,提升化工负荷场景的预测性维护能力。该研究为阳光电源拓展绿色化工储能市场提供了系统级解决方案参考。