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储能系统技术 储能系统 SiC器件 ★ 4.0

不同沉降条件下大型熔盐储热罐的性能与运行安全评估

Performance and operational safety assessment of large molten salt storage tanks under different settlement conditions

作者 Cunxian Chen · Xiang Liu · Xue Xue · Zihan Lan · Hao Zhou
期刊 Solar Energy
出版日期 2025年1月
卷/期 第 302 卷
技术分类 储能系统技术
技术标签 储能系统 SiC器件
相关度评分 ★★★★ 4.0 / 5.0
关键词 A full-scale thermo-structural coupled geometric model of high-temperature storage tanks is established.
语言:

中文摘要

摘要 熔盐储热罐在保障塔式光热发电站(CSP)电力输出稳定性方面发挥着关键作用。然而近年来,多起涉及熔盐储罐的事故频发,造成了巨大的经济损失。这些事故大多数由储罐基础的不均匀沉降引发。本研究基于中东地区一座100兆瓦塔式熔盐光热发电机组,构建了热-力耦合物理模型,用于分析储热罐在多种异常沉降工况下的力学行为。为更真实地评估储罐在接近实际运行条件下的性能表现,结合实测沉降数据,采用响应面方法与多目标优化技术进行了沉降反演分析。结果表明,环形沉降对储罐运行影响相对较小,在所有环形沉降工况下均未出现显著应力集中。相比之下,局部不均匀沉降对罐底结构构成最大威胁,在工况C6下观测到最大应力达166.63 MPa。与实测数据对比,多目标遗传算法(MOGA)相较于单目标优化方法表现出更高的反演精度,误差控制在5%以内。在反演所得的沉降条件下,储罐最大应力较正常工况增加了约35 MPa,疲劳寿命缩短至25.8年。在所分析的三种异常沉降情景中,基于反演的方法能够更真实地反映储罐的实际运行状态。

English Abstract

Abstract Molten salt thermal storage tanks play a critical role in ensuring the stability of power output in concentrated solar power (CSP) plants. However, in recent years, multiple incidents involving molten salt tanks have occurred, resulting in substantial economic losses. The majority of these accidents were caused by uneven settlement of the tank foundation. The study developed a thermal–mechanical coupled physical model for analyzing the mechanical behavior of a thermal storage tank under various abnormal settlement conditions, based on a 100 MW tower-type molten salt thermal power unit located in the Middle East. To evaluate the tank’s performance under conditions that closely resemble actual operating scenarios, settlement inversion was conducted using real-world settlement data, combined with response surface methodology and multi-objective optimization techniques. The results indicate that annular settlement has a relatively minor impact on tank operation; under all annular settlement conditions. In contrast, local uneven settlement posed the greatest threat to the tank bottom, with a maximum stress of 166.63 MPa observed under Condition C6. Compared with actual data, the Multi-Objective Genetic Algorithm (MOGA) demonstrated superior inversion accuracy over the single-objective method, with errors within 5 %. Under the inverted settlement condition, the maximum tank stress increased by approximately 35 MPa compared to the normal condition, and the tank’s fatigue life was reduced to 25.8 years. Among the three abnormal settlement scenarios analyzed, the inversion-based method provided a more realistic representation of the tank’s actual operational condition.
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SunView 深度解读

该研究对阳光电源光热储能系统具有重要参考价值。熔盐储罐作为光热电站核心部件,其安全性直接影响系统稳定运行。研究揭示的不均匀沉降风险及热-机械耦合分析方法,可应用于ST系列储能系统和PowerTitan产品的结构设计优化。建议在大型储能项目中引入多目标遗传算法进行基础沉降预测,结合iSolarCloud平台实现储罐应力实时监测与预测性维护,延长系统疲劳寿命。该技术对阳光电源拓展中东等地区光热储能市场、提升ESS解决方案安全性具有实际指导意义。