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

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:
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
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

项目摘要

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中文摘要
翻译
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)。 我们研究计划的长期目标一直是,并将继续是,创建优化过程操作的方法和工具。在拟议的研究计划中,我们将集中在分布式方法在大规模过程系统的性能优化。现有工作的基础假设是,组件控制/优化子系统是完全同步的,这限制了现有研究成果的适用性。非同步性是“真实世界”过程控制和优化应用的规则。拟议的研究计划的重点将是建立一个理论框架和过程系统工程技术的协调为基础的,分布式优化系统在面对通常面临的化学/石化工厂的复杂性。所提出的计划所产生的预期贡献是实现分布式,基于协调的过程控制和优化系统的潜力的重要一步。
英文摘要
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.
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Distributed optimization of large-scale chemical / petrochemical plant operations.
  • 批准号:
    194372-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2017
  • 负责人:
    Forbes, JFraser
  • 依托单位:
Distributed optimization of large-scale chemical / petrochemical plant operations.
  • 批准号:
    194372-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2016
  • 负责人:
    Forbes, JFraser
  • 依托单位:
Distributed optimization of large-scale chemical / petrochemical plant operations.
  • 批准号:
    194372-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2014
  • 负责人:
    Forbes, JFraser
  • 依托单位:
Distributed optimization of large-scale chemical / petrochemical plant operations.
  • 批准号:
    194372-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2013
  • 负责人:
    Forbes, JFraser
  • 依托单位:
国内基金
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 项目类别:
    青年科学基金项目
  • 资助金额:
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  • 批准年份:
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