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首页> 外文会议>ASME Power Conference >BENCHMARKING SOFTWARE FOR SLAGGING, FOULING AND OTHER PARAMETERS TO IMPROVE COAL-FIRED POWER PLANT LOAD FACTOR, EFFICIENCY AND EMISSION
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BENCHMARKING SOFTWARE FOR SLAGGING, FOULING AND OTHER PARAMETERS TO IMPROVE COAL-FIRED POWER PLANT LOAD FACTOR, EFFICIENCY AND EMISSION

机译：基准测试软件，用于改善燃煤电厂负载系数，效率和排放的脱渣，污垢和其他参数的软件

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For a 500 MW unit, a 1 % reduction in boiler efficiency equates to a coal cost in the order of $ 1/2 million/annum, while a 5 % unit derate, needed to meet emission compliance, can equate to an annual revenue loss of up to $ 12 million. Many software products are in use, which based on the present plant performance, identify and optimize the operational parameters for the best plant capacity, utilization and efficiency. While they are effective in tuning up the unit, they are applied to an operating plant firing a given coal for the given performance. But what if there were a means of predicting how a coal will perform with respect to slagging, fouling and every other single parameter involved in the use of that coal for capacity, efficiency maximization and emission control without firing even a lb of coal? This would enable the operator to know in advance what to expect and thereby, adjust the operating variables to get the best out of that coal. Such a software product -SCES (Steam Coal Evaluation & Services) has been developed based on the fundamental principles of combustion, mineral matter transformation and emission of particulates, NO_x, SO_2 and mercury, based on only the standard ASTM coal and ash analyses. The operational parameters evaluated are: Slagging and fouling as well as Grindability, Abrasion of the grinding elements; Combustibility & Unburnt carbon, Corrosion and Erosion; Emission of particulates, the oxides of sulfur and nitrogen (both primary and secondary DeNO_x) as well as mercury when data are available. Its advantage over the existing products is its ability to predict, amongst others parameters, corrosion, erosion of convective tubes and the life of grinding elements none of which are discernible from the existing software products or from a limited test burn. These parameters however play important roles in the bottom line O & M costs. The implementation of SCES in providing meaningful rankings alerts the plant operators to the performance they can expect and any measures that need to be taken to be able the plant to operate at its highest load factor and efficiency while under emission compliance with minimum impact on O & M cost. No separate coal sample or small-scale laboratory evaluation work is required in the derivation of the rankings. Because of its simplicity of use and immediate availability of results, SCES can also be used as a routine analytical tool, accompanying the coal analyses by the plant or supplied with each delivery of coal. It is applicable to all coals irrespective of rank and country of origin, it has been used and validated on coals from the US, UK, Russia, Columbia and India . The paper describes the fundamental properties coal used in the development of the software and cites case histories of its validation on US (Bituminous & Sub-bituminous) coals.
机译：对于500 MW单元，在锅炉效率降低1％等同于在1/2 $亿/年量级的煤的成本，而5％的单元减免，需要满足排放达标，可以等同于年收入损失高达1200万$。许多软件产品正在使用，这是根据目前的工厂性能，识别和优化最佳厂房容量，利用和效率的操作参数。虽然它们有效地调整单位，但它们适用于射击给定煤的运营厂以获得给定的性能。但是，如果有一种方法是预测煤果如何对熔渣，污垢和使用这种煤炭的熔化，煤炭的所有其他单一参数进行能力，效率最大化和排放控制而没有烧制的煤炭的方法？这将使运营商能够提前知道预期，从而调整操作变量以充分利用该煤炭。这样的软件产品-SCES（动力煤评估与服务）已根据燃烧，矿物质转化和微粒，NO_x的，二氧化硫和汞的排放的基本原则得到了发展，仅基于标准ASTM煤和灰分分析。评估的操作参数是：熔渣和污垢以及研磨性，磨削元件的磨损;燃烧和剥离碳，腐蚀和腐蚀;微粒的排放，当数据是可用的硫和氮的氧化物（主要和次要DeNO_x）以及汞。它的优势在现有产品中是其预测的能力，其中包括对流管的参数，腐蚀，侵蚀的磨削元件的寿命，这些都是从现有的软件产品或有限的测试燃烧中辨别出来的。然而，这些参数在底线O＆M成本中发挥着重要作用。在提供有意义的排名方面的实施提醒工厂运营商能够预期的性能以及需要采取的任何措施能够在其最高负载因子和效率下运行的措施，同时在排放遵守对O＆ M成本。在排名的推导下，不需要单独的煤样或小规模的实验室评估工作。由于其使用简单和即时可用性的结果，SCES也可以用作常规分析工具，伴随着植物的煤分析或随着煤炭供应。它适用于不论等级和原产国所有的煤，它已被用于和来自美国，英国，俄罗斯，哥伦比亚和印度煤验证。本文描述了用于开发软件和引用其对我们（沥青和亚沥青）煤的验证的案例历史的基本属性煤。

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