Design of Operating Strategies for Processes with Recycle

回收流程的操作策略设计

• 批准号: 0554718
• 负责人: Michael Doherty
• 金额: --
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0554718&HistoricalAwards=false
• 关键词: Design; Operating; Strategies; Processes; Recycle

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.

摘要：迈克尔·F. Doherty和邓肯Mellichamp研究所：加州圣巴巴拉大学提案编号：0554718题目：带循环的过程的操作策略设计PI计划一个研究教育项目，以开发用于快速估算带循环的工厂的经济最佳操作策略的分层设计方法，并将结果纳入James道格拉斯教科书《化学过程的概念设计》的修订版中。智力优势美国加工工业在全球市场竞争中面临巨大压力。 由于拥有如此庞大的资产基础，该行业不断寻求更有效地运营这些资产的有效方法，例如，通过改进反应选择性来节省原材料，或通过增加反应转化率来节省能量等。这些目标经常冲突，因此，分散或局部经济优化经常导致整个制造过程的性能低下。 真正的整体经济最佳的生产过程中的操作政策，只能找到使用全工厂的优化。 这导致每个单独的项目都需要大量的工程投资，随之而来的风险是，对于任何不值得努力的特定项目，只能找到微不足道的改进。PI的方法是发展数学上严格的一般规则分类率为基础的过程到等价类，具有相同的最佳操作策略。 然后，每个单独的过程可以根据制定的规则迅速分类。 这些规则的优点在于它们严格地从过程的数学模型中导出，因此提供了对特设算法的显著改进。 然而，推导的方法是足够简单的方法和结果可以教给大学生和工厂工程师和操作员。 因此，这项研究实现了双重目标，使科学的过程设计更严格的数学和更可教。 这种方法还允许使用更严格的模型快速估计复杂工艺优化的潜在经济价值。 项目可以根据其投资回报进行排名，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有助于化学加工行业设计更商业化的生产设施，同时也有一个对环境的好处，通过节省能源。 修订后的教科书将有助于本科生的教育。 研究生研究助理也将在这一重要领域接受教育，他们将在毕业时帮助将技术转移到工业中。