Design of Operating Strategies for Processes with Recycle

摘要：pi: Michael F. Doherty and Duncan Mellichamp机构：加州大学圣巴巴拉分校提案号：0554718标题：循环过程的运行策略设计pi计划开展一项研究教育项目，开发分层设计方法，以快速评估循环工厂的经济最佳运行策略，并将结果纳入詹姆斯道格拉斯教科书的修订版，化学过程的概念设计。美国的加工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，该部门不断寻求更有效地运营这些资产的有效方法，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。这些目标经常发生冲突，因此，分散的或局部的经济优化经常导致整体制造过程的性能低下。制造过程真正的整体经济最优操作策略只能通过工厂范围的优化来找到。这导致了对每个单独项目的大量工程投资，这带来了为任何特定项目只找到边际改进的风险，而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一般规则，用于将基于速率的过程分类为具有相同最佳操作策略的等价类。然后可以根据所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推导出来，因此相对于特别的启发式提供了显著的改进。然而，推导的方法很简单，方法和结果可以教给本科生和工厂工程师和操作员。因此，本研究实现了使过程设计科学在数学上更加严谨和更易于教学的双重目标。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。项目可以根据其回报进行排名，从而证明在更详细的优化和使用先进方法的经济评估中进一步的工程投资是合理的。更广泛的影响这项工作的结果可以通过设计更多商业上有利可图的制造设施来帮助化学过程工业，同时也通过节约能源对环境有益。修订后的教科书将有助于大学生的教育。研究生研究助理也将接受这一重要领域的教育，他们将在毕业时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.