Quality Key Numbers of Gas Turbine Combined Cycles

Hans E. Wettstein
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Abstract

The most relevant quality key numbers for the largest and most efficient Gas Turbine Combined Cycles (GTCC) are not (only) the data published by the original engine manufacturers OEM’s. Additional numbers are here evaluated with educated guesses based on published data of the latest announcements of the “big four OEM’s” [8]. Such data are of interest for potential customers but also for nailing down the current state-of-the-art for all kind of further cycle studies using turbomachinery components and also as a contemporary history record. Making educated guesses means thermodynamic 1D simulation based on additional assumptions for pressure losses and other cycle data, which have a limited influence on the (unpublished) target quality numbers, such as: • Mixed turbine inlet temperature Tmix. This is a key value describing the technology level. It can be derived independently of the (unpublished) TCLA value. It is a quality number for the general cooling design and for the secondary air systems. • Polytropic efficiency of the compressor blading. This number describes the aerodynamic quality of the compressor blading. • Polytropic efficiency of the turbine blading. It describes the quality level of both the blading aerodynamics and of the open air cooling design. • Distribution of the exergy losses within the GT and in the bottoming cycle. The exergy losses describe the remaining opportunities for further improvements in the thermodynamic cycle design. But they also indicate its limits. However already the determination of the Tmix is tricky. It depends on the analysis method and on the fluid data applied. The polytropic efficiency of the turbine blading and the exergy losses will depend both on the used methods and on the Tmix found. Achieving a trustable result therefore requires a transparent and reproducible method. In case of application of the found results for performance prediction of similar cycles the same method has to be applied in order to avoid mistakes. In this paper real gas data with consideration of dissociation in equilibrium are used, while the polytropic efficiencies are determined with an incremental method based directly on the classic definitions of Stodola [3] and Dzung [4]. Therefore the still most used method using semi-perfect gas properties and corresponding formulas is bypassed. In order to keep it as simple as possible the evaluation is limited to base load at ISO ambient condition (15°C, 60% relative humidity, sea level). The fuel is limited to pure methane according to the practice in current catalogue data. The main focus is on the gas turbine with its components. The steam bottoming cycle is captured with its effect on the overall exergy and energy balance of the GTCC, which identifies exhaust and condensation losses.
燃气轮机联合循环质量关键数字
对于最大和最高效的燃气轮机联合循环(GTCC)来说,最相关的质量关键数字不仅仅是原始发动机制造商OEM发布的数据。本文根据“四大OEM”最新发布的数据[8],对其他数字进行了有根据的猜测。这些数据不仅对潜在客户很有兴趣,而且还可以用于确定当前最先进的技术,用于使用涡轮机械部件进行各种进一步的循环研究,同时也可以作为当代历史记录。有根据的猜测意味着基于压力损失和其他循环数据的额外假设进行热力学一维模拟,这些数据对(未公布的)目标质量数字的影响有限,例如:这是描述技术水平的关键值。它可以独立于(未公布的)TCLA值派生。它是一般冷却设计和二次风系统的质量数。•压缩机叶片多向性效率。这个数字描述了压气机叶片的空气动力学质量。•涡轮叶片的多效性。它描述了叶片空气动力学和露天冷却设计的质量水平。•燃气轮机内和底部周期的火用损失分布。火用损失描述了进一步改进热力学循环设计的剩余机会。但它们也表明了它的局限性。然而,Tmix的确定已经很棘手了。这取决于分析方法和所应用的流体数据。涡轮叶片的多向效率和火用损失将取决于所使用的方法和所发现的Tmix。因此,要获得可信的结果,需要一种透明和可重复的方法。如果将发现的结果应用于类似周期的性能预测,则必须采用相同的方法以避免错误。本文使用考虑平衡解离的真实气体数据,而多向效率则直接基于Stodola[3]和Dzung[4]的经典定义,采用增量法确定。因此,本文绕过了目前最常用的利用半完美气体性质和相应公式的方法。为了使其尽可能简单,评估仅限于ISO环境条件下的基本负载(15°C, 60%相对湿度,海平面)。根据目前目录数据的做法,燃料仅限于纯甲烷。主要的焦点是燃气轮机及其部件。蒸汽触底循环及其对GTCC的总体火用和能量平衡的影响被捕获,这确定了排气和冷凝损失。
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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