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首页> 外文期刊>ACS Sustainable Chemistry & Engineering >Coupling Computer-Aided Process Simulation and Estimations of Emissions and Land Use for Rapid Life Cycle Inventory Modeling
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Coupling Computer-Aided Process Simulation and Estimations of Emissions and Land Use for Rapid Life Cycle Inventory Modeling

机译:耦合计算机辅助流程仿真和对快速生命周期库存建模的排放和土地利用的估算

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摘要

src="http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ascecg/2017/ascecg.2017.5.issue-5/acssuschemeng.6b02724/20170425/images/medium/sc-2016-02724j_0003.gif">A methodology is described for developing a gate-to-gate life cycle inventory (LCI) of a chemical manufacturing process to support the application of life cycle assessment in the design and regulation of sustainable chemicals. The inventories were derived by first applying process design and simulation to develop a process flow diagram describing the energy and basic material flows of the system. Additional techniques developed by the United States Environmental Protection Agency for estimating uncontrolled emissions from chemical processing equipment were then applied to obtain a detailed emission profile for the process. Finally, land use for the process was estimated using a simple sizing model. The methodology was applied to a case study of acetic acid production based on the Cativa process. The results reveal improvements in the qualitative LCI for acetic acid production compared to commonly used databases and top-down methodologies. The modeling techniques improve the quantitative LCI results for inputs and uncontrolled emissions. With provisions for applying appropriate emission controls, the proposed method can provide an estimate of the LCI that can be used for subsequent life cycle assessments.
机译:src =“http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ suscecg/2017/ socececg.2017.5.issue-5/acssuschemeng.6b0225/images/medium/sc -2016-02724J_0003.GIF“>描述了一种用于开发化学制造方法的栅极寿命周期库存(LCI)的方法,以支持生命周期评估在可持续化学品的设计和调节中的应用。通过首先应用过程设计和模拟来推导库存,以开发描述系统的能量和基本材料流程的过程流程图。然后应用了美国环境保护局开发的额外技术,用于估算化学加工设备的不受控制的排放,以获得该过程的详细排放简介。最后,使用简单的尺寸模型估计该过程的土地使用。基于CATIVA工艺的乙酸产生案例研究。结果揭示了与常用数据库和自上而下的方法相比醋酸生产的定性LCI的改善。建模技术改善了输入和不受控制的排放的定量LCI结果。通过用于应用适当排放控制的规定,该方法可以提供可用于随后生命周期评估的LCI的估计。

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    National Risk Management Research Laboratory United States Environmental Protection Agency 26 West Martin Luther King Drive Cincinnati Ohio 45268 United States;

    National Risk Management Research Laboratory United States Environmental Protection Agency 26 West Martin Luther King Drive Cincinnati Ohio 45268 United States;

    National Risk Management Research Laboratory United States Environmental Protection Agency 26 West Martin Luther King Drive Cincinnati Ohio 45268 United States;

    National Risk Management Research Laboratory United States Environmental Protection Agency 26 West Martin Luther King Drive Cincinnati Ohio 45268 United States;

    National Risk Management Research Laboratory United States Environmental Protection Agency 26 West Martin Luther King Drive Cincinnati Ohio 45268 United States;

    National Risk Management Research Laboratory United States Environmental Protection Agency 26 West Martin Luther King Drive Cincinnati Ohio 45268 United States;

    National Risk Management Research Laboratory United States Environmental Protection Agency 26 West Martin Luther King Drive Cincinnati Ohio 45268 United States;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学工业;
  • 关键词

    Acetic Acid; Fugitive; LCA; LCI; Process; Production; Storage; Vent;

    机译:醋酸;逃亡;LCA;LCI;过程;生产;存放;发泄;

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