最大输出功率的压缩机洗涤方法的经济可行性

Enyia James Diwaa, Archibong Eso Archibongb, Dodeye Ina Igbongc, Ukpabio E. Eyod
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引用次数: 0

摘要

燃气轮机在运行一段时间后出现劣化已不再是新闻,如果不考虑劣化效应,燃气轮机运营商或业主将遭受巨大的经济损失。可用性和可靠性对每个燃气轮机所有者来说都是非常重要的工具,并且有各种方法来研究这些发动机以延长其寿命,因此,使用不同的方法(如在线和离线清洗)已成为当务之急,以便向发动机操作员建议哪种方法更经济有益。发动机经常被清洗以保持清洁,从而产生更多的动力,但考虑到清洗液的成本、设备成本、人工成本等,一年清洗这么多次发动机在经济上是否可行一直是关键。因此这篇研究技术论文。本技术论文探讨了保持高功率固然重要,但并不一定意味着节约成本。对压缩机进行在线清洗,每次进行在线清洗,可回收30%的电力,每7天清洗一次,每年清洗54次。脱机清洗每3个月进行一次,每年共清洗4次,每次脱机压缩机水洗后功率回收率达85%,发动机在每个给定点的最大劣化极限不超过原功率的10%。为本研究建模的发动机与GE LM2500+相似。性能仿真采用克兰菲尔德大学燃气轮机性能仿真软件TURBOMATCH/PYTHIA进行。输出结果被输入到技术经济模型中,其中计算了在线和离线压缩机洗水的总财务投入。成本方面的影响表明,虽然定期清洗发动机可以节省更多的动力,但并不一定像任何发动机所有者或运营商所希望的那样经济可行。从经济学的角度来看,污垢对燃气轮机的性能确实有显著的影响,并通过经济模型研究了更经济可行的压缩机洗水方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic Viability of Compressor Washing Methods for Maximum Power Output
It is no longer news that gas turbines deteriorates after some period in operation, and if the deterioration effect is not taken into consideration, the gas turbine operator or owner will run into huge economic loss. Availability and reliability have been very important tools to every gas turbine owner, and there are various methods by which these engines have been investigated to prolong its life span, as such, it has become imperative to use different methods such as online and offline washing so as to advise the engine operator on which of the methods that will be more beneficial economically. The engine is kept clean the often it is been washed and thus produces more power, but how economically viable will it be washing the engine for this much times in a year has been the crux, considering the cost of wash fluids, equipment cost, labour cost, and so on. Hence this research technical paper. In this technical paper, it has been investigated that though keeping power high is very important but does not necessarily means saving cost. An online compressor washing was investigated and it was a 30% power recovery on each time online compressor water wash was administered, and the washing took place ones in every 7days, which gives a total of 54 washes per annum. The offline wash took place ones in every 3 months, making a total of 4 washes per annum with 85% power recovery after each offline compressor water wash, and the maximum limit of engine deterioration never exceed 10% of the original power at each given point. The engine modelled for this study was similar to that of GE LM2500+. The performance simulation was carried out via TURBOMATCH/PYTHIA which is Cranfield University software for gas turbine performance simulation. The output result was fed into a techno-economic model where the total financial involvement was computed for both the online and the offline compressor water wash. The cost implications have shown that though more power could be saved when the engine is washed regularly, but not necessarily economically viable as any engine owner or operator would have wanted. It has been shown in financial terms that fouling actually has significant effect on gas turbine performance, and the more economically viable compressor water wash method has been investigated via the economic model.
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