The Impact of Compressor Degradation on The Optimized Fleet Compositions, Optimized Thermal Efficiencies, and The Operations & Maintenance Cost of Fleets of a Reheat Engine Running on Associated Gas Fuel

M. Obhuo, S. O. Okuma, D. S. Aziaka
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Abstract

Associated gas is a viable source of fuel for industrial gas turbines. Flaring of this fuel resource has not only resulted in environmental pollution and deterioration but also huge energy and economic loss. TURBOMATCH, a Cranfield University performance simulation software was used in modeling a hypothetical but realistic 296MW reheat gas turbine engine.The study was carried out using one clean fleet and three degraded fleets – the optimistic, medium, and pessimistic. Optimization of the fleet compositions and thermal efficiencies were achieved using Genetic algorithm. Detailed operations and maintenance costs analysis for the various fleets were carried out. .Results from the optimization show the optimized fleet compositions, from the various fleets and their turbine entry temperatures for 20 years life span of the project. the result from the 11th to the 20th year of the project, only one unit of engine was left due to engine divestment.  Results of the optimized efficiencies for all the fleets show a gradual reduction in optimized efficiencies over the years of the project. Similarly, for all the scenarios considered, from the 11th to the 20th year of the project, with only one unit of engine left, the optimized efficiency trend is observed to be Clean > Optimistic > Medium > Pessimistic.Results from the fleets operations and maintenance costs show that the clean, optimistic, medium, and pessimistic degraded fleets have total operations and maintenance costs to be 1.224, 1.242, 1.265, and 1.297 billion US dollars respectively. Engine degradation resulted to 1.4%, 3.3%, and 5.9% increase in the operations and maintenance costs of the optimistic, medium, and pessimistic degraded fleets respectively.The results, approach and methodology presented in this paper would be a very useful decision-making tool for investors and governments who would want to invest in the economic utilization of associated gas using gas turbines.
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压缩机退化对使用伴生气燃料的再热发动机优化机群组成、优化热效率以及运行和维护成本的影响
伴生气是工业燃气轮机可行的燃料来源。这种燃料资源的燃烧不仅造成了环境污染和恶化,而且造成了巨大的能源和经济损失。TURBOMATCH是克兰菲尔德大学的性能仿真软件,用于对一台假设但现实的296MW再热燃气涡轮发动机进行建模。这项研究使用了一个清洁车队和三个退化车队——乐观、中等和悲观。采用遗传算法对船队组成和热效率进行优化。对各机队进行了详细的运行和维护成本分析。优化结果显示了优化后的机队组成,各机队的涡轮入口温度,项目寿命为20年。从项目的第11年到第20年,由于发动机的剥离,只剩下1台发动机。所有车队的优化效率结果显示,在项目实施的几年中,优化效率逐渐降低。同样,对于所有考虑的情景,从项目的第11年到第20年,仅剩下1台发动机,优化效率趋势为清洁>乐观>中等>悲观。车队运维成本分析结果表明,清洁、乐观、中等、悲观劣化车队的运维总成本分别为12.24亿美元、12.42亿美元、12.65亿美元和12.97亿美元。发动机退化导致乐观、中等和悲观退化机队的运营和维护成本分别增加1.4%、3.3%和5.9%。本文提出的结果、方法和方法,对于想要投资使用燃气轮机经济利用伴生气的投资者和政府来说,将是一个非常有用的决策工具。
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