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首页> 外文期刊>Journal of the Brazilian Society of Mechanical Sciences and Engineering >Optimal selection of utility plants in oil and gas offshore platforms
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Optimal selection of utility plants in oil and gas offshore platforms

机译:石油和天然气海上平台公用电厂的最佳选择

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The utility plants in oil and gas platforms should be designed to meet the electrical demand during the lifetime at minimum cost. A great deal of effort has been devoted to determining the optimal load share of each reciprocating engine/gas turbine operating in parallel that minimizes the overall fuel consumption. However, the selection of the models and the number of units in the system are normally left out of the problem formulation. This paper introduces a procedure to make the optimal selection of utility plants in floating, production, storage and offloading platforms. It is analyzed a case study by using the following two alternative approaches: (i) a mono-objective optimization of a single cost-based function and (ii) a multi-objective optimization of capital cost and fuel consumption. Under the first approach, the fuel consumption is translated into monetary terms. On the other hand, the multi-objective approach produces a set of nondominated solutions that enables a subsequent engineering analysis. A major takeaway from the case study is that all the solutions obtained are better than the standard solution of three aeroderivative gas turbines model GE LM2500+RD (G4) (with a capital cost of 40.05 Millions of USD and a fuel consumption of 9.999×104documentclass12pt{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$9.999 times 10^4$$end{document} TJ at the optimal setting during the lifetime of the system). The results confirm the necessity of a systematic selection procedure.
机译:石油和天然气平台中的公用设施应设计为以最低成本满足整个生命周期内的电力需求。我们投入了大量精力来确定并联运行的每个往复式发动机/燃气轮机的最佳负载份额,以最大限度地降低总燃料消耗。然而,模型的选择和系统中的单元数量通常被排除在问题公式之外。本文介绍了一种在浮式、生产、储存和卸载平台中对公用电厂进行最佳选择的程序。通过使用以下两种替代方法分析案例研究:(i)基于成本的单个函数的单目标优化和(ii)资本成本和燃料消耗的多目标优化。在第一种方法下,燃料消耗量被转换为货币。另一方面,多目标方法产生一组非主导解决方案,可以进行后续的工程分析。案例研究的一个主要结论是,获得的所有解决方案都优于三台型号 GE LM2500+RD (G4) 的航改燃气轮机的标准解决方案(资本成本为 40.05 数百万美元,燃料消耗为 9.999×104documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} begin{document}$$9。999 乘以 10^4$$end{document} TJ,在系统生命周期内处于最佳设置)。结果证实了系统选择程序的必要性。

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