GOALI: Optimization of Pressure Swing Adsorption Systems for Air Separation

GOALI：空气分离变压吸附系统的优化

• 批准号: 9987514
• 负责人: Lorenz Biegler
• 金额: $ 19.59万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-04-01 至 2003-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9987514&HistoricalAwards=false
• 关键词: GOALI; Optimization; Pressure; Swing; Adsorption

Abstract - Biegler - 9987514The PI plans to develop a flexible design and optimization strategy for pressure swing adsorption (PSA) systems for air separations. The approach incorporates realistic, detailed process models of partial differential equations (PDEs) and rigorous solution procedures and leads to a flexible and reliable optimization environment. The resulting strategy will allow for the addition and modification of adsorption isotherms and PDE solvers, application of new optimization algorithms, flexible configurations of different PSA systems, and extension to discrete and continuous variable optimization. The approach the PI plans to use will integrate sophisticated and efficient optimization tools based on large-scale Successive Quadratic Programming (SQP)-based optimization strategies. The work to be done includes:a) model formulation of cyclic steady state processes that include conservation methods to track wave frontsb) efficient computation of sensitivity information from the PSA model through the exploration of both direct and adjoint methodsc) application and refinement of leading edge nonlinear programming algorithms for the reliable and efficient optimization of large-scale systems.The project is GOALI cooperative effort with Air Products and Chemicals.

摘要 - Biegler - 9987514PI 计划为空气分离变压吸附 (PSA) 系统开发灵活的设计和优化策略。 该方法结合了现实、详细的偏微分方程 (PDE) 过程模型和严格的求解过程，形成了灵活可靠的优化环境。 由此产生的策略将允许添加和修改吸附等温线和 PDE 求解器、应用新的优化算法、不同 PSA 系统的灵活配置以及扩展到离散和连续变量优化。 PI 计划使用的方法将集成基于大规模连续二次规划 (SQP) 优化策略的复杂且高效的优化工具。 要做的工作包括：a）循环稳态过程的模型制定，包括跟踪波前的守恒方法b）通过探索直接方法和伴随方法，有效计算PSA模型的灵敏度信息c）前沿的应用和细化用于可靠、高效优化大型系统的非线性规划算法。该项目是 GOALI 与空气化工产品公司 (Air Products and Chemicals) 的合作成果。