Distributed optimization of large-scale chemical / petrochemical plant operations.

大型化工/石化工厂运营的分布式优化。

• 批准号: 194372-2013
• 负责人: Forbes, JFraser
• 金额: $ 2.11万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569773
• 关键词: Distributed; optimization; large; scale; chemical

The chemical / petrochemical industries operate processing plants that are very large-scale, highly integrated and complex systems. The performance objectives for such plants are to maximize operating efficiency, while ensuring a minimal environmental impact. Current process control and optimization approaches cannot meet the demands for increasingly efficient operations. We are nearing a technological breakpoint, where the current process automation paradigm will not be able to meet the performance demands imposed by society. Thus a key frontier in process systems engineering is the creation of techniques and tools that will provide the basis for the creation of the next generation of process automation systems. More precisely, new approaches are required for process control and optimization for the very large-scale systems that are encountered in the chemical / petrochemical industries (e.g., time-varying, tightly integrated, nonlinear and so forth). The long-term objective of our research program has been, and continues to be, the creation of methods and tools for optimizing process operations. In the proposed research program, we will focus on distributed approaches to performance optimization in large-scale process systems. The underpinning assumption in existing work is that the component control / optimization subsystems are perfectly synchronized, which limits the applicability of available research results. Asynchronicity is the rule for"real-world" process control and optimization applications. The focus of the proposed research program will be in the creation of a theoretical framework and process systems engineering techniques for coordination-based, distributed optimization systems in the face of the asynchronicity that is typically faced in chemical / petrochemical plants. The expected contributions arising from the proposed program represent an essential step in realizing the potential for distributed, coordination-based process control and optimization systems.

化学/石化工业操作的加工厂是非常大规模、高度集成和复杂的系统。这些工厂的性能目标是最大限度地提高运行效率，同时确保对环境的影响最小。目前的过程控制和优化方法不能满足日益高效的操作需求。我们正接近一个技术转折点，在那里，当前的过程自动化范式将无法满足社会强加的性能需求。因此，过程系统工程的一个关键前沿是技术和工具的创造，这些技术和工具将为下一代过程自动化系统的创造提供基础。更准确地说，需要新的方法来控制和优化化学/石化工业中遇到的非常大的系统（例如，时变、紧密集成、非线性等）。