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首页> 外文期刊>Energy & fuels >Environmental, Economic, and Energy Assessment of the Ultimate Analysis and Moisture Content of Municipal Solid Waste in a Parallel Co-combustion Process
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Environmental, Economic, and Energy Assessment of the Ultimate Analysis and Moisture Content of Municipal Solid Waste in a Parallel Co-combustion Process

机译:并行燃烧过程中城市固体废物最终分析和水分含量的环境,经济和能源评估

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摘要

Use of municipal solid waste (MSW) as fuel for electricity generation reduces landfill disposal and can mitigate air quality degradation associated with combustion of conventional fossil fuels. Co-combustion is a waste-to-energy technology that can use MSW and coal as co-fuels, offering potential energy recovery and reduced air emissions. This research discerns how MSW composition influences the heating value and air pollution for the co-combustion of coal with MSW using five MSW composition scenarios, four of which were derived by a reduction of plastics, organics, paper, or a combination thereof, as compared to the national average MSW composition. Numerous combustion products could be evaluated; this study focused on five high impact air combustion products: SO_2, CO, CO_2, NO, and NO_2. The moisture content was varied from ~10% (considered dry) to 40% (average MSW moisture). AspenPlus software was used for the deterministic simulation modeling of incineration (MSW only) and parallel co-firing (co-combustion of coal and MSW) to determine theoretical heating values and pollutant effluent concentrations. The United States Environmental Protection Agency (U.S. EPA) models WAR and WARM were used to determine the potential environmental impacts (PEIs) and greenhouse gas emission equivalencies, respectively, for each MSW scenario. For the WAR model, values for each impact category parameter can vary, but each parameter is weighed equally. Of the MSW scenarios studied, the national average held the highest heating value with 8519 MBtu/lb and the lowest occurred for the MSW scenario with recycled paper and composted organics, with 8251 MBtu/lb. Results show that SO_2, CO, CO_2, NO, and NO_2 flue gas concentrations (and therefore PEIs) depend upon the composition and moisture of the MSW, in addition to the MSW/coal ratio. Approximate ranges for the WAR results (PEI/h) are 7410-7663 for NO, 4-8 for NO_2, 18-105 for CO, 30-46 for CO_2, and 89-2152 for SO_2. WARM results show lower net CO_2 emission equivalents to landfill MSW with reduced paper and organics, while combustion is preferred for MSW with paper reduction, organics reduction, and plastics reduction. The results for the national average MSW were independent of the disposal processing method. Reduction in pollutant concentrations did not yield overall cost savings for the electricity producer, as profit was reduced by ~20-30%. There are savings associated with emission costs using MSW in lieu of coal: up to ~3.3% for NO, ~20-47% for NO_2. and ~95% for SO_2. A hypothetical carbon dioxide tax was also imposed to realize the potential cost savings by reducing CO_2 emissions. In summary, the measurable impact MSW composition and moisture had on pollutant concentration, heating value, and economic parameters was important.
机译:使用城市固体废物(MSW)作为发电燃料可以减少垃圾填埋场的处理,并可以减轻与常规化石燃料燃烧相关的空气质量下降。混合燃烧是一种废物转化为能源的技术,可以将城市固体废弃物和煤炭用作辅助燃料,从而可以回收潜在的能源并减少空气排放。这项研究使用五种MSW组成情景,识别了MSW组成如何影响煤与MSW一起燃烧煤的热值和空气污染,其中四种情景是通过减少塑料,有机物,纸张或它们的组合而得出的全国平均城市生活垃圾组成。可以评估多种燃烧产物;这项研究的重点是五种高冲击空气燃烧产物:SO_2,CO,CO_2,NO和NO_2。水分含量从〜10%(考虑干燥)到40%(MSW平均水分)变化。 AspenPlus软件用于确定性的焚化(仅限MSW)和平行共烧(煤与MSW共同燃烧)模拟模型,以确定理论热值和污染物排放浓度。美国环境保护局(U.S. EPA)的WAR和WARM模型分别用于确定每种MSW方案的潜在环境影响(PEI)和温室气体排放当量。对于WAR模型,每个影响类别参数的值可以变化,但是每个参数的权重均相等。在所研究的城市固体废弃物方案中,全国平均热值最高,为8519 MBtu / lb,而在再生纸和堆肥有机物下,全国平均值最低,为8251 MBtu / lb。结果表明,SO_2,CO,CO_2,NO和NO_2烟气浓度(以及由此产生的PEI)还取决于MSW /煤比,以及MSW的组成和水分。 WAR结果的近似范围(PEI / h)对于NO为7410-7663,对于NO_2为4-8,对于CO为18-105,对于CO_2为30-46,对于SO_2为89-2152。 WARM结果显示,与纸张和有机物减少的垃圾填埋场垃圾相比,较低的净CO_2排放当量,而对于纸张减少,有机物减少和塑料减少的垃圾来说,燃烧是优选的。全国平均城市固体废物的结果与处置方法无关。降低污染物浓度并不能为电力生产商节省总成本,因为利润减少了约20-30%。使用城市固体废弃物代替煤炭可以节省与排放成本相关的费用:一氧化氮最多可节省约3.3%,二氧化氮最多可节省20-47%。 SO_2约为95%。还征收了假定的二氧化碳税,以通过减少CO_2排放量实现潜在的成本节省。总而言之,MSW组成和水分对污染物浓度,热值和经济参数的可测量影响很重要。

著录项

  • 来源
    《Energy & fuels》 |2014年第janaafeba期|1453-1462|共10页
  • 作者单位

    Department of Civil and Environmental Engineering Rice University, Houston, Texas 77005, United States;

    Department of Civil and Environmental Engineering;

    Department of Economics, Rice University, Houston, Texas 77005, United States;

    Department of Chemical Engineering, Texas A&M University, College Station, Texas 77483, United States;

    Department of Civil and Environmental Engineering Rice University, Houston, Texas 77005, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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