Development of Advanced Tools for Multi-Objective Analysis of Water Resources Engineering Systems

水资源工程系统多目标分析先进工具的开发

• 批准号: RGPIN-2016-05896
• 负责人: Asadzadeh, Masoud
• 金额: $ 1.75万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749297
• 关键词: Development; Advanced; Tools; Multi; Objective

Water resources systems are inherently multipurpose, and any sound environmental management decision such as how to operate them to mitigate impacts of future climate conditions should reflect their multi-objective nature. For example, the operation of a river-reservoir system can be designed to maximize the reliability of supplying water for urban, agricultural, and industrial intakes, to maximize the monetary benefits obtained from hydropower generation and commercial navigation, and to minimize negative environmental impacts on habitats in the system. My research program generates advanced tools to analyze water resources engineering systems in an efficient and effective multi-objective simulation-optimization framework. These tools will utilize high performance computing resources to be adaptable to a wide range of computational scales and will be made accessible to researchers, advanced modellers, and environmental system analysts. Tools developed in my research program will be applicable to a wide range of water resources engineering problems including river-reservoir operation, water distribution network design and hydrologic model calibration. This research program will specifically benefit Canada that has major water resources case studies utilized in research. An example case study of my research program will be the Great Lakes - St. Lawrence river-reservoir system that is very important to the Canadian and US economies and has reservoir operation, hydrologic modeling, and model calibration components. Another example will be the highly complex and non-linear hydropower generating system operated and maintained by Manitoba Hydro using approximation techniques that linearize the system behavior. Tools developed in my research program do not need to linearize the problem. As such, they will be able to incorporate in the optimization non-linear models that accurately simulate the system behavior and find better solutions that maximize the operation benefits (currently more than $2 billion/yr), minimize maintenance costs, maximize capacity expansion benefits and/or minimize environmental impacts of the operation. Students who will be trained over the course of this 5-year research plan will gain valuable experience to develop and implement innovative algorithms for solving water resources engineering problems at the municipal, provincial, national and international levels and become some of Canada's future experts in the field of water resources systems analysis.

水资源系统本质上是多功能的，任何合理的环境管理决定，例如如何操作它们以减轻未来气候条件的影响，都应反映其多目标性质。例如，可以设计河流水库系统的运行，以最大化为城市，农业和工业进气口提供水的可靠性，以最大程度地利用从水力发电生成和商业导航中获得的货币福利，并最大程度地减少对系统中生境的负面环境影响。我的研究计划生成了先进的工具，以高效有效的多目标模拟优化框架来分析水资源工程系统。这些工具将利用高性能计算资源可适应广泛的计算量表，并将为研究人员，高级建模者和环境系统分析师提供访问。 我的研究计划中开发的工具将适用于广泛的水资源工程问题，包括河流水库操作，水分配网络设计和水文模型校准。该研究计划将特别受益于加拿大拥有主要水资源案例研究的加拿大。我的研究计划的一个示例案例研究将是大湖区 - 圣劳伦斯河流水库系统，对加拿大和美国经济非常重要，并具有储层运营，水文建模和模型校准组件。另一个示例将是使用线性化系统行为的近似技术，由Manitoba Hydro运行和维护的高度复杂和非线性水电生成系统。我的研究计划中开发的工具无需线性化问题。因此，他们将能够将精确模拟系统行为的优化非线性模型纳入，并找到更好的解决方案，从而最大程度地利用运营福利（目前超过20亿美元/年），最大程度地降低维护成本，最大程度地扩展容量的扩张福利和/或最大程度地减少了操作的环境影响。 将在这项为期5年的研究计划中接受培训的学生将获得宝贵的经验，以开发和实施创新的算法来解决市政，省，国家和国际水平的水资源工程问题，并成为加拿大水资源系统分析领域的一些未来专家。