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: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=523180
• 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).

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。这些工厂的绩效目标是最大限度地提高运营效率，同时确保最小的环境影响。当前的过程控制和优化方法不能满足日益高效的操作的需求。我们正在接近一个技术断点，当前的过程自动化模式将无法满足社会对性能的要求。因此，过程系统工程的一个关键前沿是创建技术和工具，这些技术和工具将为创建下一代过程自动化系统提供基础。更确切地说，需要新的方法来控制和优化在化学/石化工业中遇到的非常大规模的系统（例如，时变的、紧密集成的、非线性的等等）。