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SusChEM: An integrated framework for process design, control and scheduling [PAROC]

SusChEM：过程设计、控制和调度的集成框架 [PAROC]

基本信息

批准号：
1705423
负责人：
Efstratios Pistikopoulos
金额：
$ 29.52万
依托单位：
Texas A&M Engineering Experiment Station
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2020-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1705423&HistoricalAwards=false
关键词：
SusChEM integrated framework process design

项目摘要

This research project aims for an innovative shift in addressing three common tasks performed by process engineers: design, scheduling, and control of process systems. These tasks are typically performed independently of each other, without taking into consideration the interactions and trade-offs amongst them. The development and use of novel strategies, procedures, and tools for decision making for process system engineering has the potential, as part of smart manufacturing and process improvement efforts, to contribute significantly to a sustainable future. The primary aim of this research project is to provide a useful conceptual framework and software tool for the integration of design, control and scheduling tasks. The framework and software platform is being applied to the optimization of a residential combined cooling, heating and power generation network system. The project findings are being incorporated into graduate courses at Texas A&M University. The developed tool is being deployed as an open access software tool for the benefit of the academic and industrial communities. The integration of process design, control and scheduling remains an open grand challenge in process systems engineering. While significant research efforts have been made in the last twenty years to sequentially integrate design with control, and more recently control with scheduling, a generally accepted methodology to unify the field is still lacking. The multi-scale framework being developed features (1) a high-fidelity dynamic model representation, also involving global sensitivity analysis, parameter estimation and mixed integer dynamic optimization capabilities; (2) a suite/toolbox of model approximation methods; (3) a host of multi-parametric programming solvers for mixed continuous/integer problems; (4) a state-space modeling representation capability for scheduling and control problems; and (5) an advanced toolkit for multi-parametric/explicit Model Predictive Control and moving horizon reactive scheduling problems. The intellectual merit of the activity lies in the integration of the three tasks (design, control and scheduling) within a unified multiscale framework and in the ability to acquire optimal operation policies, optimal model based controllers and optimal designs of process systems through a single optimization formulation. Additionally, there is merit in the capability to close the loop with a cross validation of the outcomes with the original model, ensuring optimal and stable operation.

该研究项目旨在解决过程工程师执行的三项常见任务的创新转变：过程系统的设计，调度和控制。这些任务通常彼此独立地执行，而不考虑它们之间的相互作用和权衡。作为智能制造和过程改进工作的一部分，过程系统工程决策的新策略、程序和工具的开发和使用有可能为可持续的未来做出重大贡献。该研究项目的主要目的是提供一个有用的概念框架和软件工具的设计，控制和调度任务的集成。该框架和软件平台已应用于某住宅冷热电联产网络系统的优化。该项目的研究结果正在被纳入得克萨斯A M大学的研究生课程。开发的工具正在部署作为一个开放的访问软件工具，为学术界和工业界的利益。过程设计，控制和调度的集成仍然是一个开放的过程系统工程的巨大挑战。虽然在过去的二十年里已经做出了重大的研究努力，顺序地将设计与控制相结合，最近又将控制与调度相结合，但仍然缺乏一种普遍接受的方法来统一该领域。正在开发的多尺度框架的特点是（1）高保真动态模型表示，还包括全局灵敏度分析、参数估计和混合整数动态优化能力;（2）模型近似方法套件/工具箱;（3）用于混合连续/整数问题的多参数编程求解器;（4）用于调度和控制问题的状态空间建模表示能力;以及（5）用于多参数/显式模型预测控制和移动时域反应调度问题的高级工具包。该活动的智力价值在于在一个统一的多尺度框架内的三个任务（设计，控制和调度）的集成，并通过一个单一的优化配方，以获得最佳的操作策略，基于最佳模型的控制器和过程系统的最佳设计的能力。此外，通过对原始模型的结果进行交叉验证来关闭循环的能力也有优点，确保了最佳和稳定的操作。