首页> 外文学位 >APPLICATION OF CONDITIONAL SIMULATION MODEL TO RUN-OF-MINE COAL SAMPLING FREQUENCY DETERMINATION AND COAL QUALITY CONTROL AT THE POWER PLANT (BLENDING, GOAL PROGRAMMING, MICROCOMPUTER).
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APPLICATION OF CONDITIONAL SIMULATION MODEL TO RUN-OF-MINE COAL SAMPLING FREQUENCY DETERMINATION AND COAL QUALITY CONTROL AT THE POWER PLANT (BLENDING, GOAL PROGRAMMING, MICROCOMPUTER).

机译:条件模拟模型在电厂(掺混,目标规划,微机)煤粉采样频率确定和煤质控制中的应用。

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摘要

Run-of-mine (ROM) coal sampling is one of the most important factors in determining the disposition of ROM coal for an overall emission control strategy. Determination of the amount of sample, or still better, the frequency of ROM coal sampling is thus essential to the analysis of overall emission control strategies.;To link the ROM coal and coals from other sources to coal stockpiles and subsequently to solve coal blending problems, where varying qualities of stockpiled coals are normally used, an interactive computer program was developed. Simple file-handling, for stockpiling problems, and multi-objective goal programming technique, for blending problems, provided their solutions. The computer program was made suitable for use on both minicomputer and microcomputer. Menu-driven and interactive capabilities give this program a high level of flexibility that is needed to analyze and solve stockpiling and blending problems at the power plant.;A simulation model of a portion of the Upper Freeport coal seam in western Pennsylvania was developed employing conditional simulation. On the simulated deposit, different mining methods were simulated to generate ROM coal data. ROM coal data was statistically analyzed to determine the sampling frequency. Two schemes were suggested: (1) the use of geostatistical techniques if there is spatial correlation in ROM coal quality, and (2) the use of classical statistics if the spatial correlation in ROM coal quality is not present. Conditions under which spatial correlation in ROM coal quality can be expected are also examined.
机译:矿山采煤(ROM)采样是确定整体排放控制策略的ROM煤处置的最重要因素之一。因此,确定样本量,或更准确地说,确定ROM煤采样的频率对于分析总体排放控制策略至关重要。;将ROM煤和其他来源的煤与煤库存联系起来,从而解决混煤问题在通常使用各种质量的储存煤的地方,开发了一个交互式计算机程序。提供了解决方案,用于存储问题的简单文件处理,以及用于混合问题的多目标目标编程技术。使计算机程序适用于微型计算机和微型计算机。菜单驱动的交互式功能为该程序提供了高度的灵活性,这是分析和解决电厂的库存和混合问题所需的高度灵活性。宾夕法尼亚州西部Freeport上部煤层的一部分的模拟模型是采用有条件的模拟。在模拟矿床上,模拟了不同的开采方法以生成ROM煤数据。对ROM煤数据进行统计分析,以确定采样频率。提出了两种方案:(1)如果ROM煤质存在空间相关性,则使用地统计技术;(2)如果不存在ROM煤质存在空间相关性,则使用经典统计。还检查了可以预期的ROM煤质空间相关性的条件。

著录项

  • 作者

    BARUA, SUKHENDU LAL.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Engineering Mining.
  • 学位 Ph.D.
  • 年度 1985
  • 页码 168 p.
  • 总页数 168
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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