Design of Operating Strategies for Processes with Recycle

摘要：Michael F.Doherty和Duncan Mellichamp Institution：加州大学圣巴巴拉分校建议编号：0554718题目：设计具有回收的过程的操作策略PI计划开展一个研究教育项目，以开发分层设计方法来快速评估具有回收的工厂的经济最佳运行策略，并将结果纳入修订版的James Douglas教科书，化学过程的概念设计。智力价值美国流程工业面临着在全球市场竞争的巨大压力。拥有如此庞大的资产基础，这一部门一直在寻找有效的方法来更有效地运营这些资产，例如，通过提高反应选择性来节省原材料，或通过提高反应转化率来节省能源等。这些目标经常相互冲突，因此，分散或局部的经济优化往往会导致整个制造过程的表现不佳。一个制造过程的真正的整体经济最优运行策略只能使用全厂优化来找到。这导致了每个单独项目的大量工程投资，这伴随着只为任何特定项目找到微不足道的改进的风险，这些改进并不证明努力是合理的。PI方法是开发数学上严格的通用规则，将基于速率的过程分类为具有相同最优操作策略的等价类。然后，可以根据制定的规则对每个单独的过程进行快速分类。这些规则的优点是它们严格地从过程的数学模型中派生出来，因此与特别启发式方法相比提供了显著的改进。然而，推导方法非常简单，可以将方法和结果传授给本科生和工厂工程师和操作员。因此，这项研究实现了使工艺设计科学在数学上更加严谨和更具可教性的双重目标。这种方法还允许使用更严格的模型快速估计复杂过程优化的潜在经济价值。项目可以根据它们的回报进行排序，从而证明进一步的工程投资是合理的，使用先进的方法进行更详细的优化和经济评估。更广泛的影响这项工作的结果可能会通过设计更有利可图的制造设施来帮助化工过程工业，同时还可以通过节约能源对环境产生好处。修订后的教科书将有助于教育本科生。研究生研究助理也将在这一重要领域接受教育，他们将在毕业后帮助将技术转移到工业中。

ABSTRACTPI: Michael F. Doherty and Duncan Mellichamp Institution: University of California Santa BarbaraProposal Number: 0554718Title: Design of Operating Strategies for Processes with RecycleThe PIs plan a research education project to develop hierarchical design methods for rapidly estimating economically optimal operating policies for plants with recycle, and to incorporate the results in a revised edition of James Douglas textbook, Conceptual Design of Chemical Processes. Intellectual MeritThe US process industries are under massive pressure to compete in the global marketplace. With such a large asset base, this sector is constantly searching for effective ways to operate these assets more efficiently, e.g., by saving raw materials through improved reaction selectivity, or saving energy by increased reaction conversion, etc. These objectives often conflict, therefore, decentralized or local economic optimization often leads to under performance of the overall manufacturing process. The true overall economic optimum operating policy for a manufacturing process can only be found using plantwide optimization. This leads to a large engineering investment for each individual project, which comes with the risk of finding only marginal improvements for any specific project that did not justify the effort. The PIs approach is to develop mathematically rigorous general rules for classifying rate based processes into equivalence classes that have the same optimal operating strategies. Each individual process can then be classified rapidly according to the rules developed. These rules have the advantage that they are rigorously derived from a mathematical model of the process, and therefore offer a significant improvement over ad hoc heuristics. However, the method of derivation is simple enough that the method and the results can be taught to undergraduates and to plant engineers and operators. Thus, this research fulfils the dual objectives of making the science of process design both more mathematically rigorous and more teachable. This approach also allows for the rapid estimation of the potential economic value of sophisticated process optimization using more rigorous models. Projects can be ranked according to their payback, thereby justifying further engineering investment in more detailed optimization and economic evaluation using advanced methods..Broader ImpactThe results of this work may help the chemical process industries by designing more commercially profitable manufacturing facilities while also having a benefit on the environment by saving energy. The revised textbook will help educate undergraduates. Graduate research assistants will also be educated in this important area, and they will help transfer the technology to industry when they graduate.