System of Systems Approach and Uncertainty Mitigation/Exploitation for Wind Farm Design

风电场设计的系统方法和不确定性缓解/利用的系统

• 批准号: 1100948
• 负责人: Achille Messac
• 金额: $ 49万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2014-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1100948&HistoricalAwards=false
• 关键词: System; Systems; Approach; Uncertainty; Mitigation

The objective of this research is to make it possible to design wind farms with significantly higher power generation capacity (a 25 to 30 percent increase from existing designs). A comprehensive system of systems approach to wind farm design will be developed which addresses the concomitant pervasive uncertainty through, both mitigation and exploitation. We will build on existing work in the supporting technological areas of wake modeling, wind farm power generation modeling, economics modeling, and optimal design for computationally prohibitive multidisciplinary systems. The major research activities include: (i) optimization, design, and uncertainty propagation; (ii) economic modeling; (iii) development of product family approaches; (iv) developing and parameterizing power output model of wind turbine arrays; and (v) validation of models. Guidelines will be developed that will directly assist engineers, researchers, and investors in their pertinent decision-making.If successful, the unique approach to dealing with the uncertainty-ridden system and the system of system approach being developed here, can enable the scientific community to achieve a new level in addressing our current and future energy requirements. A unique interdisciplinary environment will be provided to students who are motivated by the grand challenge of achieving 20% electric power using wind by 2030, and by the desire to be prepared for green jobs in the context of a rapidly changing economic landscape. Periodic exchange visits by faculty members, graduate and undergraduate students between the two institutions (RPI and SU) will provide the students with unique preparations. A key anticipated benefit of the proposed research is the increased likelihood of reaching our critical goal of having 20% of our electricity come from wind energy by 2030, which is a high national priority.

这项研究的目标是使设计具有显著更高发电能力的风力发电场成为可能(比现有设计增加25%至30%)。将开发一套全面的系统方法来设计风力发电场，通过缓解和开发来解决随之而来的普遍不确定性。我们将在支持技术领域的现有工作基础上再接再厉，这些领域包括尾流建模、风电场发电建模、经济建模和计算限制的多学科系统的优化设计。主要研究活动包括：(I)优化、设计和不确定性传播；(Ii)经济建模；(Iii)开发产品族方法；(Iv)开发和参数化风力机阵列的功率输出模型；以及(V)模型的验证。将制定指导方针，直接帮助工程师、研究人员和投资者做出适当的决策。如果成功，处理充满不确定性的系统的独特方法和这里正在开发的系统方法，可以使科学界在解决我们当前和未来的能源需求方面达到一个新的水平。将为学生提供一个独特的跨学科环境，这些学生的动机是到2030年实现20%使用风能的巨大挑战，以及在快速变化的经济格局下为绿色工作做好准备的愿望。两所院校(RPI和SU)之间教职员工、研究生和本科生的定期互访将为学生提供独特的准备。这项拟议研究的一个关键预期好处是，实现到2030年20%的电力来自风能的关键目标的可能性增加，这是国家的高度优先事项。