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首页> 外文期刊>Computers & Chemical Engineering >Municipal solid waste to liquid transportation fuels, olefins, and aromatics: Process synthesis and deterministic global optimization
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Municipal solid waste to liquid transportation fuels, olefins, and aromatics: Process synthesis and deterministic global optimization

机译:从城市固体废物到液体运输燃料,烯烃和芳烃的过程合成和确定性全局优化

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摘要

This paper proposes a comprehensive process superstructure-based approach toward the sustainable production of liquid transportation fuels, olefins, and aromatics from municipal solid waste, MSW. A deterministic global optimization based branch-and-bound algorithm is utilized to solve the resulting nonconvex mixed-integer nonlinear optimization model. Several novel, commercial, and competing technologies are modeled within the proposed framework. The production of higher-value hydrocarbons proceeds through a synthesis gas intermediate that can be subsequently converted via Fischer-Tropsch refining or methanol synthesis. Simultaneous heat, power, and water integration is included in every process design to minimize utility costs. For every proposed process design, two profitability metrics, the overall profit and the net present value, are calculated. The optimal process topologies that produce liquid fuels and high-value chemicals at the highest profit are illustrated for several case studies. The effects of refinery scale and composition of products produced on the overall profit and the selected process topology are investigated. The effect that the tipping fee of MSW has on the overall profitability of the process is investigated parametrically for several values. Complete material, energy, carbon, and greenhouse gas balances are additionally provided for each case study investigated. The results suggest that production of liquid fuels, olefins, and aromatics is profitable at the highest scales (i.e., 5 thousand barrels per day of liquid fuels and 500 metric tons per day of chemicals) investigated with superior environmental performance compared to petroleum-based processes.
机译:本文提出了一种基于过程上层建筑的综合方法,旨在从城市固体废弃物MSW中可持续生产液体运输燃料,烯烃和芳烃。利用基于确定性全局优化的分支定界算法求解非凸混合整数非线性优化模型。在提议的框架内对几种新颖,商业和竞争技术进行了建模。高价值碳氢化合物的生产通过合成气中间体进行,随后可以通过费-托精制法或甲醇合成法进行转化。每个过程设计中都包括热,电和水的同时集成,以最大程度地降低公用事业成本。对于每个建议的流程设计,都会计算两个获利能力指标,即总利润和净现值。通过几个案例研究说明了以最高利润生产液体燃料和高价值化学品的最佳工艺拓扑。研究了精炼规模和所生产产品的组成对总体利润和所选工艺拓扑的影响。对于几个值,通过参数研究了城市固体废弃物的小费对工艺总利润的影响。此外,还为每个案例研究提供了完整的材料,能源,碳和温室气体平衡。结果表明,与基于石油的工艺相比,以优异的环境绩效进行研究,液体燃料,烯烃和芳烃的生产在最高规模(即每天五千桶液体燃料和每天五百公吨化学药品)下是有利可图的。 。

著录项

  • 来源
    《Computers & Chemical Engineering》 |2017年第12期|169-187|共19页
  • 作者单位

    Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA ,Texas A&M Energy Institute, 302D Williams Administration Building, 3372 Texas A&M University, College Station, TX 77843, USA ,Department of Chemical and Biological Engineering Princeton University, Princeton, N] 08544, USA;

    Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA ,Texas A&M Energy Institute, 302D Williams Administration Building, 3372 Texas A&M University, College Station, TX 77843, USA ,Department of Chemical and Biological Engineering Princeton University, Princeton, N] 08544, USA;

    Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA ,Texas A&M Energy Institute, 302D Williams Administration Building, 3372 Texas A&M University, College Station, TX 77843, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Municipal solid waste; Process synthesis; Global optimization; Mathematical modeling; Mixed-integer nonlinear optimization; Aromatics; Olefins;

    机译:城市生活垃圾;工艺综合;全局优化数学建模;混合整数非线性优化;芳香族;烯烃;

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