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A decision support tool for landfill methane generation and gas collection

机译:垃圾填埋场甲烷产生和气体收集的决策支持工具

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摘要

This study presents a decision support tool (DST) to enhance methane generation at individual landfill sites. To date there is no such tool available to provide landfill decision makers with clear and simplified information to evaluate biochemical processes within a landfill site, to assess performance of gas production and to identify potential remedies to any issues. The current lack in understanding stems from the complexity of the landfill waste degradation process. Two scoring sets for landfill gas production performance are calculated with the tool: (1) methane output score which measures the deviation of the actual methane output rate at each site which the prediction generated by the first order decay model LandGEM; and (2) landfill gas indicators' score, which measures the deviation of the landfill gas indicators from their ideal ranges for optimal methane generation conditions. Landfill gas indicators include moisture content, temperature, alkalinity, pH, BOD, COD, BOD/COD ratio, ammonia, chloride, iron and zinc. A total landfill gas indicator score is provided using multi-criteria analysis to calculate the sum of weighted scores for each indicator. The weights for each indicator are calculated using an analytical hierarchical process. The tool is tested against five real scenarios for landfill sites in UK with a range of good, average and poor landfill methane generation over a one year period (2012). An interpretation of the results is given for each scenario and recommendations are highlighted for methane output rate enhancement. Results demonstrate how the tool can help landfill managers and operators to enhance their understanding of methane generation at a site-specific level, track landfill methane generation over time, compare and rank sites, and identify problems areas within a landfill site.
机译:这项研究提出了一种决策支持工具(DST),可以提高各个垃圾填埋场的甲烷生成量。迄今为止,尚无此类工具可为垃圾填埋场决策者提供清晰,简化的信息,以评估垃圾填埋场内的生化过程,评估天然气生产绩效并确定针对任何问题的潜在补救措施。当前缺乏了解是由于垃圾掩埋场降解过程的复杂性。用该工具计算出两个用于填埋气生产性能的评分集:(1)甲烷输出分数,用于测量由一阶衰减模型LandGEM生成的预测在每个站点上的实际甲烷输出速率的偏差; (2)垃圾填埋气指标得分,用于衡量垃圾填埋气指标与理想甲烷生成条件的理想范围之间的偏差。垃圾填埋气指标包括水分含量,温度,碱度,pH,BOD,COD,BOD / COD比,氨,氯,铁和锌。使用多标准分析可提供垃圾填埋气总指标得分,以计算每个指标的加权得分总和。每个指标的权重均使用层次分析法进行计算。该工具针对英国垃圾填埋场的五个真实场景进行了测试,这些垃圾填埋场在一年期间(2012年)产生了一系列良好,平均和较差的垃圾填埋甲烷。针对每种情况给出了结果的解释,并着重强调了提高甲烷输出速率的建议。结果证明了该工具如何帮助垃圾填埋场管理者和运营商在特定地点水平上加深对甲烷生成的了解,跟踪随时间推移的垃圾填埋场甲烷生成,对站点进行比较和排名以及确定垃圾填埋场内的问题区域。

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