U.S.-Argentina Cooperative Science Program: Advanced Optimization Strategies for Large-Scale Chemical Manufacturing Processes

9722487比格勒这个美洲项目奖将资助卡内基梅隆大学的洛伦茨·T·比格勒博士和阿根廷巴伊亚布兰卡的阿尔贝托·班多尼博士之间为期两年的合作研究项目。主要目标是开发一个用于大规模工艺优化的软件平台。这将包括用于非线性规划的前沿算法，并允许在工艺优化研究中分析和处理工艺不确定性。这些功能在任何用于过程工程的大型建模和设计工具中都不可用。拟议的研究将致力于三个主题，在未来两年内依次执行。它们是：改进优化算法，以更有效和更可靠地解决更大的问题；评估外部参数对非线性规划解的影响；以及评估化学过程和相关任务设计中的不确定性影响。在过去的十年中，优化策略在过程系统工程和化学制造过程中得到了广泛的应用。它们还导致了在商业流程模拟器中实施非线性规划算法，并将其应用于大型详细的流程模型。然而，目前在算法开发、大规模优化问题的形成以及在高效和可靠的软件中实施方面仍有一些需要进一步研究。本项目将对其中一些主题进行研究。***

9722487 Biegler This Americas Program award will fund a 2-year cooperative research project between Dr. Lorenz T. Biegler, Carnegie Mellon University, and Dr. J. Alberto Bandoni, Planta Piloto de Ingenieria Quimica (PLAPIQUI), Bahia Blanca, Argentina. The primary goal is to develop a software platform for large-scale process optimization. This will include leading edge algorithms for nonlinear programming, and allow for the analysis and treatment of process uncertainties in process optimization studies. These capabilities are not available in any large scale modeling and design tools for process engineering. The proposed research will be devoted to three topics, executed in sequence over the next two years. They are: improvement of optimization algorithms to solve larger problems more efficiently and reliably; assessment of the influence of external parameters on the solution of the nonlinear program, and; assessment of the effects of uncertainty in the design of chemical processes and related tasks. In the last decade optimization strategies have seen widespread application in process systems engineering and chemical manufacturing processes. They have also led to the implementation of nonlinear programming algorithms in commercial process simulators and the application to large detailed, process models. However, there are still a number of current needs in algorithmic development, formulation of large-scale optimization problems, and implementation within efficient and reliable software, requiring further investigation. This project will research some of these topics. ***