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Planning, Scheduling, and Optimal Design of Energy Systems, Process Operations, and Integrated Facilities Under Sustainability Considerations

Planning, Scheduling, and Optimal Design of Energy Systems, Process Operations, and Integrated Facilities Under Sustainability Considerations
可持续考虑下的能源系统、流程操作和综合设施的规划、调度和优化设计
批准号:
288124-2013
负责人:
Elkamel, Ali
金额:
$3.21万
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

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中文摘要
翻译
对污染预防的追求,加上对环境可持续工艺和产品的压力和需求的增加,催生了流程行业的新规则和法规。该研究计划的长期目标是开发系统的计算机辅助方法,使化学工程师能够以可持续和具有成本效益的方式确定化学和生化过程的操作、设计、集成和供应链管理的创造性策略。这些战略涉及选择系统组件、单元互连、运营条件、基础设施发展决策,甚至供应链或整个生态系统的相互作用。这一框架将通过纳入环境影响评估工具和可持续性指标,在传统方法的基础上加以扩展。将开发新的数学规划模型,这些模型能够提出最优解决方案,以有效地考虑可持续性和捕捉各种业务的复杂性。将设计出集成基于逻辑的方法、分解技术、稳健优化和重构策略以降低计算复杂性的求解算法。开发的方法的实际实施和测试将在涉及能源生产系统、综合石油和石化设施以及生态园区的各种工业案例研究中得到说明。
英文摘要
The quest for pollution prevention, coupled with increased pressure and demand for environmentally sustainable processes and products, have spawned new rules and regulations in the process industry. The long term objective of this research program is to develop systematic computer-aided methodologies that enable chemical engineers to identify creative strategies for the operation, design, integration, and supply chain management of chemical and biochemical processes in a sustainable and cost effective way. These strategies involve the selection of system components, interconnections of units, operating conditions, infrastructure development decisions, or even interactions along supply chains or the ecosystem at large. This framework will extend upon the traditional approach through the incorporation of environmental impact assessment tools and sustainability metrics. Novel mathematical programming models that are able to propose optimal solutions to effectively account for sustainability and capture the complexity of the various operations will be developed. Solution algorithms that integrate logic-based methods, decomposition techniques, robust optimization, and reformulation strategies to reduce computational complexity will be devised. The practical implementation and testing of the developed methods will be illustrated on various industrial case studies dealing with energy production systems, integrated petroleum and petrochemical facilities, and eco-parks.
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Advanced Multiscale Decision-making for Process Operations and Energy Systems, and Incorporating Big Data Analytics
  • 批准号:
    RGPIN-2018-04108
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.68万
  • 财政年份:
    2022
  • 负责人:
    Elkamel, Ali
  • 依托单位:
Advanced Multiscale Decision-making for Process Operations and Energy Systems, and Incorporating Big Data Analytics
  • 批准号:
    RGPIN-2018-04108
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2021
  • 负责人:
    Elkamel, Ali
  • 依托单位:
Advanced Multiscale Decision-making for Process Operations and Energy Systems, and Incorporating Big Data Analytics
  • 批准号:
    RGPIN-2018-04108
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2020
  • 负责人:
    Elkamel, Ali
  • 依托单位:
Advanced Multiscale Decision-making for Process Operations and Energy Systems, and Incorporating Big Data Analytics
  • 批准号:
    RGPIN-2018-04108
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2019
  • 负责人:
    Elkamel, Ali
  • 依托单位:
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