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Emission factor establishment for palm oil mill boiler

机译:棕榈油磨煤机锅炉排放因子的建立

摘要

A study to establish the total particulate emission factor (EFs) from boiler of a palm oil mill plant equipped with a multi-cyclones particulate arrestor was performed and reported in this research. The mill employs a 500 kg steam/ h capacity of water-tube typed boiler and processes 60 tonnes per hour of fresh fruit bunch (FFB). The samples of the dust were collected iso-kinetically using the USEPA method 17 sampling train through a sampling port located after a multidust cyclone unit. Results showed that the total dust generated from the boiler is 62.15 g/s and the calculated total dust emission factor based on the boiler capacity is 7.46 g/kg. Poor combustion process is among the main factor that leads to the high particulate emission. EFs data allows for early prediction of pollutants emission, which subsequently will assist in determining the degree of control and the air pollution control system needed, besides evaluating the effectiveness of the existing pollution control strategies. The establishment of EFs for palm oil mills will definitely bring benefits for a better management of health and safety risks in palm oil mills, now and in the future.
机译:进行了一项研究,以确定装有多旋风除尘器的棕榈油厂的锅炉的总颗粒排放因子(EFs)。该工厂采用每小时处理500公斤蒸汽的水管式锅炉,每小时可处理60吨新鲜水果束(FFB)。使用USEPA方法17采样列,通过位于多尘旋风分离器之后的采样口,等速地收集了灰尘样品。结果表明,锅炉产生的总粉尘为62.15 g / s,根据锅炉容量计算的总粉尘排放系数为7.46 g / kg。不良的燃烧过程是导致高颗粒物排放的主要因素之一。 EFs数据可用于污染物排放的早期预测,随后,除了评估现有污染控制策略的有效性之外,这将有助于确定控制程度和所需的空气污染控制系统。为棕榈油厂建立EF无疑将为现在和将来更好地管理棕榈油厂的健康和安全风险带来好处。

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