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The Path to Profit Optimization at OMU

机译:OMU的利润优化的途径

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Owensboro Municipal Utilities (OMU) is a municipally owned and operated electric utility based in Owensboro, Kentucky. OMU's Elmer Smith Station is a coal-burning facility consisting of two units (one cyclone and one T-fired) with a combined capacity of 425 MW. It is under continuous pressure to reliably and cost-effectively deliver electricity to its ratepayer owners. OMU believes that to improve the plant's profitability, it needs to improve its ability to understand the financial impacts of its operational and maintenance actions. The plant had invested in instrumentation, control and data systems (e.g. Metso DCS, Black and Veatch's Online Performance Monitoring (OPM) system, OSIsoft PI data historian, and Invensys AvantisPro CMMS), but it was having difficulty extracting the knowledge necessary to make financially-motivated decisions. To that end, OMU invested in NeuCo, Inc.'s integrated performance, maintenance and profit optimization systems, to enable the plant to perform comprehensive, real-time cost and revenue analyses and determine opportunities for improving profitability. The system brings together process, fuels, and maintenance data so plant personnel can better understand the impacts of their actions and decisions, and prioritize their work activities (including project evaluation and scheduling) based on profitability impacts (combining efficiency, capacity and reliability.) It leverages first principles models, heuristics rules and neural network optimization to achieve optimized actions and, ultimately, maximum profitability. This paper will discuss the implementation and methodology of a real-time profit and maintenance management system at OMU's Elmer Smith Station and how it's helping OMU to become more efficient and profitable.
机译:Owensboro市政公用事业(OMU)是一家位于肯塔基州Owensboro的全国和经营的电力效用。 OMU的Elmer Smith Station是一种燃煤设施,包括两个单位(一个旋风和一个T型T型),占425兆瓦的容量。它在连续的压力下,可靠地和成本有效地为其Ratepayer业主提供电力。 OMU认为,为了提高植物的盈利能力,需要提高理解其运作和维护行动的财务影响的能力。该工厂已投资仪器,控制和数据系统(例如美卓DCS,黑色和Veatch的在线性能监测(OPM)系统,OSIsoft PI数据历史学家和Invensys Avantispro CMMS),但难以提取在经济上进行所需的知识 - 决策。为此,OMU投资于Neuco,Inc。的综合性能,维护和利润优化系统,使工厂能够进行全面,实时成本和收入分析,并确定提高盈利能力的机会。该系统汇集了加工,燃料和维护数据,因此工厂人员可以更好地了解他们的行为和决策的影响,并根据盈利影响(结合效率,容量和可靠性),优先考虑其工作活动(包括项目评估和调度)。它利用了第一原理模型,启发式规则和神经网络优化,实现了优化的行动,最终是最大的盈利能力。本文将讨论OMU埃尔默史密斯站的实时利润和维护管理系统的实施和方法以及如何帮助OMU变得更加高效和盈利。

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  • 来源
    《COAL-GEN》|2006年||共14页
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  • 作者

    Stan Conn; John McDermott;

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  • 原文格式 PDF
  • 正文语种
  • 中图分类 TM611-53;
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