首页> 外文会议>Fourth International Symposium on Non-CO2 Greenhouse Gases (NCGG-4): Science, Control, Policy and Implementation >Methane,nitrous oxide and flu fluorinated orinated gases in the Greenhouse Air pollution Information and Ssimu imullation (GAINS) modelation
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Methane,nitrous oxide and flu fluorinated orinated gases in the Greenhouse Air pollution Information and Ssimu imullation (GAINS) modelation

机译:温室气体和空气污染信息和Simu模拟(GAINS)模型中的甲烷,一氧化二氮和氟氟化的含气气体

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The GAINS model is an integrated assessment tool which simultaneously addresses greenhouse gas mitigation and air pollution control.To an existing modelling system (RAINS),modules for greenhouse gases were appended to quantify greenhouse gas emissions,control potentials and mitigation costs for 39 countries in Europe.The integrated model allowsfor asasses sesssmments of the integrated ef ents effec fects of control options affect ts affecting ing eemissions of seve missions several ral ccoommpounds.Such interactions are particularly important for pounds.N2O,where options directed at NO2,Noxabatement (e.g.,fluidized bed combustion,catalytic converters,non-catalytic reduction) andammonia abatement (deep injection of manure) generate N2O emissions.Also options directed at ammonia emissions from animal manure (stable adaptation) or at reducing NMVOC emissionsfrom agricultural waste burning,have synergistic effects on CH4 emissions.The influence of several control measures (including alternative refrigerants to reduce HFC) on energy use hasbeen noted,but the potential associated changes in COCO2 emissions have not been quantified atthis time.The results indicate that in 2020 a number of cheap options (less than 20 €/t CO2 CO2-eq)will exist to reduce emissions beyond what is required by the “current legislation” in Europe.Such options include the reduction of leakages from gas transmission or diversion of waste fromlandfills (for CH2-CH4) and reduced fertilizer application or catalytic reduction of N2O at nitric acidproduction (for N2O).
机译:GAINS模型是一个综合评估工具,可同时解决温室气体减排和空气污染控制问题。在现有的建模系统(RAINS)中,增加了温室气体模块以量化欧洲39个国家的温室气体排放量,控制潜力和减排成本集成模型可以评估集成选项的评估效果,控制选项会影响影响多个cc任务执行任务的排放,这种交互作用对于磅N2O尤其重要,其中N2O的选项针对NO2,NOxabatement(例如,流化床燃烧,催化转化器,非催化还原)和氨减排(深层注入粪肥)会产生N2O排放。此外,针对动物粪便的氨排放(稳定的适应性)或减少农业废弃物燃烧产生的NMVOC排放的选项也对CH4有协同作用排放。几种控制措施的影响(包括变更)业已注意到在能源消耗方面采用了减少HFC的制冷剂),但此时尚未量化潜在的COCO2排放变化。结果表明,到2020年,许多廉价选择(低于20欧元/吨CO2当量)减少排放量将超出欧洲“现行法规”的要求。这些选择包括减少气体传输的泄漏或垃圾填埋场的废物转移(用于CH2-CH4),减少肥料施用或在硝酸中催化还原N2O。产酸(用于N2O)。

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