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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637823
• 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/石化行业运营的加工厂是非常大规模、高度集成和复杂的系统。此类工厂的绩效目标是最大限度地提高运营效率，同时确保对环境的影响最小。当前的过程控制和优化方法无法满足日益高效的运营需求。我们正接近一个技术断点，当前的过程自动化范例将无法满足社会提出的性能要求。因此，过程系统工程的一个关键前沿是创建技术和工具，为创建下一代过程自动化系统提供基础。更准确地说，需要新的方法来对化学/石化行业中遇到的超大规模系统（例如时变、紧密集成、非线性等）进行过程控制和优化。我们研究计划的长期目标一直是并将继续是创建用于优化流程操作的方法和工具。在拟议的研究计划中，我们将重点关注大规模过程系统中性能优化的分布式方法。现有工作的基本假设是组件控制/优化子系统完全同步，这限制了现有研究结果的适用性。异步性是“现实世界”过程控制和优化应用的规则。拟议研究计划的重点将是为基于协调的分布式优化系统创建理论框架和过程系统工程技术，以应对化工厂/石化厂通常面临的异步性。拟议项目的预期贡献代表了实现分布式、基于协调的过程控制和优化系统潜力的重要一步。