Prediction and Mitigation Strategies for Compressor Instabilities due to Large Pressurized Volumes in Micro Gas Turbine Systems

Thomas Krummrein, M. Henke, Timo Lingstädt, M. Hohloch, P. Kutne
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Abstract

Micro gas turbines are a versatile platform for advanced cycle concepts. In these novel cycles, basic micro gas turbine components — compressor, turbine, combustor and recuperator — are coupled with various other technologies to achieve higher efficiency and flexibility. Examples are hybrid power plants integrating pressurized fuel cells, solar receivers or thermal storages. Characteristically, such complex cycles contain vast pressurized gas volumes between compressor and turbine, many times larger than those contained in conventional micro gas turbines. In fast deceleration maneuvers the rotational speed of the compressor drops rapidly. However, the pressure decrease is delayed due to the large amount of gas contained in the volumes. Ultimately, this can lead to compressor flow instability or surge. To predict and mitigate such instabilities, not only the compressor surge limit must be known, but also the dynamic dependencies between shaft speed deceleration, pressure and flow changes within the system. Since appropriate experiments may damage the system, investigations with numerical simulations are crucial. The investigation begins with a mathematical explanation of the relevant mechanisms, based on a simplified analytical model. Subsequently, the DLR in-house simulation program TMTSyS (Transient Modular Turbo-System Simulator) is used to investigate the impact of transient maneuvers on a micro gas turbine test rig containing a large pressurized gas volume in detail. After the relevant aspects of the simulation model are validated against measurement data, it is shown that the occurrence of compressor instabilities induced by fast deceleration can be predicted with the simulator. It is also shown that the simulation tool enables these predictions using only measurement data of non-critical maneuvers. Hence, mitigation strategies are derived that allow to estimate save shaft speed deceleration rate limits based on non-critical performance measurements.
微型燃气轮机系统大增压体积压气机不稳定性预测及缓解策略
微型燃气轮机是先进循环概念的通用平台。在这些新颖的循环中,基本的微型燃气轮机组件-压缩机,涡轮,燃烧室和回热器-与各种其他技术相结合,以实现更高的效率和灵活性。例如,混合动力发电厂集成了加压燃料电池、太阳能接收器或储热装置。这种复杂循环的特点是,在压气机和涡轮机之间含有巨大的加压气体体积,比传统微型燃气轮机所含的气体体积大许多倍。在快速减速机动中,压气机的转速急剧下降。然而,由于体积中含有大量气体,压力下降被延迟。最终,这可能导致压缩机流量不稳定或喘振。为了预测和减轻这种不稳定性,不仅必须知道压气机喘振极限,还必须知道系统内轴速、减速、压力和流量变化之间的动态依赖关系。由于适当的实验可能会破坏系统,因此用数值模拟进行研究是至关重要的。调查开始与相关机制的数学解释,基于一个简化的分析模型。随后,利用DLR内部仿真程序TMTSyS(瞬态模块化涡轮系统模拟器),详细研究了瞬态机动对含有大加压气体体积的微型燃气轮机试验台的影响。通过实测数据对仿真模型的相关方面进行验证,结果表明,该仿真器可以预测快速减速引起的压气机不稳定现象的发生。还表明,仿真工具仅使用非关键机动的测量数据即可实现这些预测。因此,导出了缓解策略,允许基于非关键性能测量估计节省轴速减速率极限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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