调节式涡轮机喷嘴控制的优化方法

IF 7.1 1区 工程技术 Q1 ENGINEERING, MECHANICAL International Journal of Mechanical Sciences Pub Date : 2024-11-19 DOI:10.1016/j.ijmecsci.2024.109773
Yin Guan , Wen Li , Xinjing Zhang , Yangli Zhu , Xing Wang , Yifeng Zhang , Zhicheng Qi , Haisheng Chen
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引用次数: 0

摘要

压缩空气储能(CAES)系统需要快速、精确地调整涡轮机的运行状态,以适应能量释放过程中系统负荷的波动。随着储气压力的不断降低,采用适当的配气方法来提高涡轮机的性能变得势在必行。本研究创新性地研究了喷嘴控制(NC)和定子相对安装角(RSIA)的耦合优化方法,以在特定输出功条件下实现最大比功,并初步提出了该优化方法作为工程应用的有力候选方案。定子通道经过重新设计,允许调整定子安装角。研究以基础压力(BP)、调节压力、入口喷嘴数量和 RSIA 为自变量,以最大比功为优化目标,获得比功和输出功的响应面模型。结果表明,与额定输出功下的原始数控方法相比,优化操作显著提高了比功,最大提高了 6.1%,平均提高了 3.4%。此外,涡轮机内的大部分损失归因于湍流耗散产生的熵率,占总损失的 88.7%。在不同的 BP 条件下,通过调整进气喷嘴数量和 RSIA,而不对进气喷嘴进行节流,最优方法满足了输出功的要求。这是通过在高 BP 条件下采用 3 喷嘴进气法和在相对较低的 BP 条件下采用 4 喷嘴进气法实现的。本研究为数控涡轮机的优化设计和运行控制提供了理论支持,在 CAES 系统的优化配气调节方面具有广阔的应用前景。
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Optimization method for nozzle control of governing turbine
The compressed air energy storage (CAES) system necessitates rapid and precise adjustment of turbine operational states to align with fluctuating system loads during the energy release process. As the air storage pressure continuously declines, the adoption of an appropriate air distribution method becomes imperative to enhance turbine performance. This study innovatively investigates the coupled optimal method of nozzle control (NC) and relative stator installation angle (RSIA) to achieve maximum specific work under certain output work conditions, initially proposing the optimal method as a strong candidate for engineering applications. The stator channel has undergone redesign to allow adjustment of the stator installation angle. It is investigated to obtain the response surface model of specific work and output work with base pressure (BP), regulated pressure, inlet nozzle number, and RSIA as independent variables, and the maximum specific work as the optimization objective. The results indicate that, compared with the original NC method at rated output work, the optimized operation markedly elevates the specific work by a maximum of 6.1 % and an average of 3.4 %. Furthermore, the majority of losses within the turbine are attributed to entropy production rate by turbulent dissipation, accounting for up to 88.7 % of the total losses. The optimal method satisfies the output work requirement by adjusting the inlet nozzle number and RSIA without throttling the inlet nozzles under different BP conditions. This is achieved by adopting the 3-nozzle inlet method under high BP and the 4-nozzle inlet method under relatively lower BP conditions. The present study offers theoretical support for the optimal design and operation control of NC turbines, which has broad prospective applications in the optimized air distribution regulation of CAES systems.
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来源期刊
International Journal of Mechanical Sciences
International Journal of Mechanical Sciences 工程技术-工程:机械
CiteScore
12.80
自引率
17.80%
发文量
769
审稿时长
19 days
期刊介绍: The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering. The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture). Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content. In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.
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