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.

该研究项目的目的是在解决过程工程师执行的三个常见任务时进行创新的转变：过程系统的设计，调度和控制。这些任务通常是彼此独立执行的，而无需考虑它们之间的互动和权衡。为过程系统工程进行决策的新型策略，程序和工具的开发和使用具有智能制造和过程改进工作的一部分，以贡献该研究项目的主要目的是为设计，控制和调度任务的整合提供有用的概念框架和软件工具。框架和软件平台正在应用于住宅合并冷却，供暖和发电网络系统的优化。该项目的发现已纳入德克萨斯农工大学的研究生课程中。开发的工具正在作为开放式访问部署，过程设计，控制和调度的集成仍然是过程系统工程中的开放式挑战。尽管在过去的二十年中进行了重大的研究工作，并且最近通过日程安排进行了控制，但仍缺乏一种公认的统一该领域的方法。开发特征的多尺度框架（1）高保真动态模型表示，还涉及全局灵敏度分析，参数估计和混合整数动态优化功能；（2）模型近似方法的套件/工具箱；（3）许多用于混合连续/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；（5）用于多参数/显式模型预测控制和移动水平反应性调度问题的高级工具包。该活动的智力优点在于在统一的多尺度框架内的三个任务（设计，控制和调度）的整合以及通过单个优化公式获得最佳模型控制器以及过程系统的最佳控制器的功能。此外，功能具有与原始模型对结果的交叉验证关闭循环的功能，从而确保了最佳和稳定的操作。