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Alternatives in Air Emission Modeling for Characterization of Processes and Process Changes

机译:用于表征过程和过程变化的空气发射建模中的替代品

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As Facilities prepare for the requirements of Title V of the Clean Air Act and as personnel exposure limits (PELs) under OSHA continue to decrease, effective means of modeling process air emissions become increasingly important. To date the focus of air modeling has been to establish the effects of process emissions after they leave the plant or on the effect of exposures to employees over various time intervals assuming particular concentrations. Most current techniques are not readily useable to assess emissions of potential process changes, primariliy because of the general need to supply empirical concentration data for the various modeling techniques.. This paper will examine the strengths and weaknesses of various modeling techniques used for estimating process emissions Building on this information a model will be developed to predict process emissions which does not rely on empirical data and would thus be of use in process design.
机译:由于设施为清洁空气行为的标题v并随着OSHA下的人员曝光限制(PELS)继续减少,所以建模过程空气排放的有效手段变得越来越重要。迄今为止,空气建模的重点是在将工厂或在诸如特定浓度的各种时间间隔内造成植物或暴露对员工的影响之后,建立过程排放的影响。大多数目前的技术不易使用以评估潜在过程变化的排放,原始的潜在过程变化,因为一般需要为各种建模技术提供经验浓度数据。本文将研究用于估算过程排放的各种建模技术的优势和缺点在此信息上建立模型将开发模型以预测不依赖经验数据的过程排放,因此可以在过程设计中使用。

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