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Design of highly distributed biofuel production systems.

机译：设计高度分散的生物燃料生产系统。

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摘要

This thesis develops quantitative methods for evaluation and design of large-scale biofuel production systems with a particular focus on bioreactor-based fuel systems. In Chapter 2, a lifecycle assessment (LCA) method is integrated with chemical process modeling to select from different process designs the one that maximizes the energy efficiency and minimizes the environmental impact of a production system. An algae-based ethanol production technology, which is in the process of commercialization, is used as a case study. Motivated by this case study, Chapter 3 studies the selection of process designs and production capacity of highly distributed bioreactor-based fuel system from an economic perspective. Nonlinear optimization models based on net present value maximization are developed that aim at selecting the optimal capacities of production equipment for both integrated and distributed-centralized process designs on symmetric production layouts. Global sensitivity analysis based on Monte Carlo estimates is performed to show the impact of different parameters on the optimal capacity decision and the corresponding net present value. Conditional Value at Risk optimization is used to compare the optimal capacity for a risk-neutral planner versus a risk-averse decision maker. Chapter 4 studies mobile distributed processing in biofuel industry as vehicle routing problem and production equipment location with an underlying pipeline network as facility location problem with a focus on general production costs. Formulations and algorithms are developed to explore how fixed cost and concavity in the production cost increases the theoretical complexity of these problems. Appendix B, as an appendix to Chapter 3, explores how transportation cost scales with total production rate and its impact on capacity design.
机译：本文开发了定量方法，用于评估和设计大型生物燃料生产系统，特别着重于基于生物反应器的燃料系统。在第2章中，生命周期评估（LCA）方法与化学过程建模相集成，可以从不同的过程设计中进行选择，以最大程度地提高能源效率并最小化生产系统的环境影响。正在将商业化过程中基于藻类的乙醇生产技术用作案例研究。受本案例研究的启发，第3章从经济角度研究了高度分散的基于生物反应器的燃料系统的工艺设计选择和生产能力。开发了基于净现值最大化的非线性优化模型，旨在为对称生产布局上的集成和分布式集中过程设计选择生产设备的最佳产能。执行基于蒙特卡洛估计的全局灵敏度分析，以显示不同参数对最佳容量决策和相应净现值的影响。条件风险价值优化用于比较风险中立计划者和规避风险决策者的最佳能力。第4章将生物燃料行业中的移动分布式处理作为车辆路径问题和生产设备的位置进行研究，而将潜在的管道网络作为设施的位置问题作为研究对象，重点是一般生产成本。开发配方和算法以探索固定成本和生产成本中的凹度如何增加这些问题的理论复杂性。附录B作为第3章的附录，探讨了运输成本如何随着总生产率的增长而变化及其对产能设计的影响。

著录项

  • 作者

    Luo, Dexin.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Alternative Energy.;Engineering Chemical.;Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 161 p.
  • 总页数 161
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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