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VALIDATION OF A T100 MICRO GAS TURBINE STEADY-STATE SIMULATION TOOL

机译:T100微型燃气轮机稳态仿真工具的验证

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Micro gas turbines (MGT) provide a highly efficient, low-pollutant way to generate power and heat on-site. MGTs have also proven to be a versatile technology platform for recent developments like utilization of fuels with low specific heating values and solar thermal electricity generation. Moreover, they are the foundation to build novel cycles like the inverted Brayton cycle or fuel cell hybrid power plants. Numerical simulations of steady operation points are beneficial in various phases of MGT cycle development. They are used to determine and analyze the future potentials of innovative cycles for example by predicting the electrical efficiency and they support the thermodynamic design process (by providing mass flow, pressure and temperature data). Numerical Simulation allows to approximate off-design performance of known cycles e.g. power output at different ambient conditions. Additionally, numerical simulation is used to support cycle optimization efforts by analyzing the sensitivity of component performance on cycle performance. Numerical models of the MGT components have to be tuned and validated based on experimental data from MGT test rigs. At DLR institute of combustion technology a MGT steady-state cycle simulation tool has been used to analyze a variety of cycles and has been revised for several years. In this paper, the validation process is discussed in detail. Comparing simulation data with measurement data from the DLR Turbec T100 test rig has led to extensions of the numeric models, on the one hand, and to modifications of the test rig on the other. Newly implemented numerical models account for the generator heat release to the inlet air and the power electronic limitations. The test rig was modified to improve the temperature measurement at positions with uneven spatial temperature distribution such as the turbine outlet. Analyzing these temperature distributions also yields a possible explanation for the apparent strong recuperator efficiency drop at high load levels, which was also observed by other T100 users before.
机译:微型燃气轮机(MGT)提供了一种高效,低污染的现场发电方式。 MGT还被证明是用于近期发展的多功能技术平台,例如利用具有低比热值的燃料和利用太阳能发电。而且,它们是建立新型循环(如反向布雷顿循环或燃料电池混合动力装置)的基础。稳定运行点的数值模拟在MGT循环开发的各个阶段都是有益的。它们可用于确定和分析创新循环的未来潜力,例如通过预测电效率,并支持热力学设计过程(通过提供质量流量,压力和温度数据)。数值模拟允许近似已知周期的非设计性能,例如在不同环境条件下的功率输出。此外,数值模拟用于通过分析组件性能对循环性能的敏感性来支持循环优化工作。 MGT组件的数值模型必须基于MGT测试台的实验数据进行调整和验证。在DLR燃烧技术研究所,MGT稳态循环仿真工具已用于分析各种循环,并且已进行了数年的修订。在本文中,详细讨论了验证过程。将模拟数据与DLR Turbec T100测试台的测量数据进行比较,一方面导致了数字模型的扩展,另一方面导致了测试台的修改。新近实现的数值模型考虑了发电机释放到进气中的热量和功率电子限制。修改了试验台,以改善空间温度分布不均匀的位置(例如涡轮机出口)的温度测量。分析这些温度分布还可以为高负荷水平下明显的换热器效率下降提供可能的解释,这也曾被其他T100用户观察到。

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