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Emission factors and chemical characterisation of fine particulate emissions from modern and old residential biomass heating systems determined for typical load cycles

机译:针对典型负载周期确定的现代和旧式住宅生物质供暖系统中细颗粒物的排放因子和化学特征

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It is already well known that there are significant differences regarding the emissions, especially particulate matter (PM) emissions, of old and modern as well as automatically and not automatically controlled biomass based residential heating systems. This concerns their magnitude as well as their chemical composition. In order to investigate emission factors for particulate emissions and the chemical compositions of the PM emissions over typical whole day operation cycles, a project on the determination and characterisation of PM emissions from the most relevant small-scale biomass combustion systems was performed at the BIOENERGY 2020+ GmbH, Graz, Austria, in cooperation with the Institute for Process and Particle Engineering, Graz University of Technology. The project was based on test stand measurements, during which relevant operation parameters (gaseous emissions, boiler load, flue gas temperature, combustion chamber temperature etc.) as well as PM emissions have been measured and PM samples have been taken and forwarded to chemical analyses. Firstly, typical whole day operation cycles for residential biomass combustion systems were specified for the test runs. Thereby automatically fed and automatically controlled boilers, manually fed and automatically controlled boilers as well as manually fed stoves were distinguished. The results show a clear correlation between the gaseous emissions (CO and OGC) and the PM1 emissions. It is indicated that modern biomass combustion systems emit significantly less gaseous and PM emissions than older technologies (up to a factor of 100). Moreover, automatically fed systems emit much less gaseous and PM emissions than manually fed batch-combustion systems. PM emissions from modern and automatically controlled systems mainly consist of alkaline metal salts, while organic aerosols and soot dominate the composition of aerosols from old and not automatically controlled systems. As an important result comprehensive data concerning gaseous and PM emissions of different old and modern biomass combustion systems over whole day operation cycles are now available. Derived from these data, correlations between burnout quality, particulate emissions as well as particle composition of the PM emissions can be deduced.
机译:众所周知,旧的和现代的以及基于自动和非自动控制的基于生物质的住宅供暖系统的排放,尤其是颗粒物(PM)排放之间存在显着差异。这关系到它们的大小及其化学组成。为了研究典型全日运行周期中颗粒物排放的排放因子和PM排放的化学成分,在BIOENERGY 2020上开展了有关确定和表征最相关的小型生物质燃烧系统的PM排放的项目+ GmbH,奥地利格拉茨,与格拉茨工业大学工艺与粒子工程研究所合作。该项目基于试验台的测量,在此期间测量了相关的运行参数(气体排放,锅炉负荷,烟气温度,燃烧室温度等)以及PM排放,并已将PM样品采集并转发给化学分析。首先,为测试运行指定了住宅生物质燃烧系统的典型全天运行周期。从而区分自动进给和自动控制的锅炉,手动进给和自动控制的锅炉以及手动进给的炉灶。结果表明,气体排放(CO和OGC)与PM1排放之间存在明显的相关性。研究表明,现代生物质燃烧系统所排放的气态和PM排放量远低于旧技术(高达100倍)。此外,与手动进料的批量燃烧系统相比,自动进料的系统排放的气体和PM少得多。现代自动控制系统中的PM排放物主要由碱金属盐组成,而有机气雾剂和烟灰则主导了旧的而非自动控制系统中的气溶胶成分。作为重要的结果,现在可以获得有关全天运行周期中不同的旧式和现代生物质燃烧系统的气体和PM排放的综合数据。从这些数据可以推导出燃尽质量,颗粒物排放以及颗粒物排放的颗粒成分之间的相关性。

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