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Translating landfill methane generation parameters among first-order decay models

机译:在一阶衰减模型之间转换垃圾填埋场甲烷产生参数

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摘要

Landfill gas (LFG) generation is predicted by a first-order decay (FOD) equation that incorporates two parameters: a methane generation potential (L_0) and a methane generation rate (k). Because non-hazardous waste landfills may accept many types of waste streams, multiphase models have been developed in an attempt to more accurately predict methane generation from heterogeneous waste streams. The ability of a single-phase FOD model to predict methane generation using weighted-average methane generation parameters and tonnages translated from multiphase models was assessed in two exercises. In the first exercise, waste composition from four Danish landfills represented by low-biodegradable waste streams was modeled in the Afvalzorg Multiphase Model and methane generation was compared to the single-phase Intergovernmental Panel on Climate Change (IPCC) Waste Model and LandGEM. In the second exercise, waste composition represented by IPCC waste components was modeled in the multiphase IPCC and compared to single-phase LandGEM and Australia's Solid Waste Calculator (SWC). In both cases, weight-averaging of methane generation parameters from waste composition data in single-phase models was effective in predicting cumulative methane generation from -7% to +6% of the multiphase models. The results underscore the understanding that multiphase models will not necessarily improve LFG generation prediction because the uncertainty of the method rests largely within the input parameters. A unique method of calculating the methane generation rate constant by mass of anaerobically degradable carbon was presented (k_c) and compared to existing methods, providing a better fit in 3 of 8 scenarios. Generally, single phase models with weighted-average inputs can accurately predict methane generation from multiple waste streams with varied characteristics; weighted averages should therefore be used instead of regional default values when comparing models.Implications: Translating multiphase first-order decay model input parameters by weighted average shows that single-phase models can predict cumulative methane generation within the level of uncertainty of many of the input parameters as defined by the Intergovernmental Panel on Climate Change (IPCC), which indicates that decreasing the uncertainty of the input parameters will make the model more accurate rather than adding multiple phases or input parameters.
机译:垃圾填埋气(LFG)的产生是通过一阶衰减(FOD)方程来预测的,该方程包含两个参数:甲烷生成电位(L_0)和甲烷生成速率(k)。由于非危险废物填埋场可以接受多种类型的废物流,因此已经开发了多相模型,以更准确地预测异质废物流中的甲烷生成量。在两次演练中,评估了单相FOD模型使用加权平均甲烷生成参数和从多相模型转换而来的吨位来预测甲烷生成的能力。在第一个练习中,使用Afvalzorg多阶段模型对来自四个丹麦垃圾掩埋场的废物组成进行了模拟,并以低生物可降解废物流为模型进行了建模,并将甲烷生成与政府间气候变化专门委员会(IPCC)废物模型和LandGEM进行了比较。在第二个练习中,以IPCC废物成分为代表的废物组成在多阶段IPCC中建模,并与单阶段LandGEM和澳大利亚的固体废物计算器(SWC)进行了比较。在这两种情况下,单相模型中废物组成数据中甲烷生成参数的权重平均有效地预测了多相模型中累积甲烷生成量的从7%到+ 6%。结果强调了这样的理解,即多相模型不一定会改善LFG生成预测,因为该方法的不确定性主要落在输入参数之内。提出了一种通过厌氧可降解碳的质量计算甲烷生成速率常数的独特方法(k_c),并将其与现有方法进行比较,从而在8种情况中的3种情况下提供了更好的拟合性。通常,具有加权平均输入的单相模型可以准确地预测具有不同特性的多种废物流中的甲烷生成量。因此,在比较模型时应使用加权平均值而不是区域默认值。含义:通过加权平均值转换多相一阶衰减模型输入参数表明,单相模型可以预测许多输入不确定性范围内的甲烷累积量政府间气候变化专门委员会(IPCC)定义的参数,这表明减少输入参数的不确定性将使模型更准确,而不是添加多个阶段或输入参数。

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  • 来源
    《Journal of the air & waste management association》 |2016年第11期|1084-1097|共14页
  • 作者单位

    Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA;

    Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA;

    Department of Environmental Engineering Sciences, University of Florida, 220 Black Hall, Gainesville, FL,32611 USA;

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  • 正文语种 eng
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