IGERT: Smart Grids - Technology, Human Behavior and Policy

IGERT：智能电网 - 技术、人类行为和政策

• 批准号: 1144388
• 负责人: Jeffrey Marshall
• 金额: $ 289.61万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144388&HistoricalAwards=false
• 关键词: IGERT; Smart; Grids; Technology; Human

This Integrative Graduate Education and Research Traineeship (IGERT) award supports the interdisciplinary training of Ph.D. scientists and engineers working in the development of modern, smart-grid power systems that operate with extensive interaction and data exchange between the utility company and the consumer. The educational program integrates technology, human behavior and policy within a complex systems framework in order to understand the coupled dynamics of the integrated power system. Intellectual Merit: This training program integrates education and research in complex systems modeling, human behavior, engineering, and policy at the University of Vermont (UVM) with expertise in modern electric power systems, renewable energy and high-performance computing at Sandia National Laboratories to train students to effectively deal with integrated technological-human-policy systems typical of the smart grid. Trainees will complete a summer internship at Sandia National Laboratories, engage in outreach activities with public museums and energy festivals in Vermont, work collaboratively with undergraduate students in game design at Champlain College, and visit the consortium of Vermont utility companies involved in developing the first state-wide smart grid in the nation. Broader Impacts: Development of the smart grid entails a transformation from the current centralized control structure for power delivery to a decentralized structure in which the consumer plays an integral role. Design, control and optimization of smart grids to provide reliable, inexpensive power will require utility companies to understand, model and shape human behavioral responses and governments to design policies to enhance energy efficiency and smart grid adoption. This training program lays the educational foundations for a workforce trained in an integrated approach to complex human-technical-policy systems. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to establish new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries, and to engage students in understanding the processes by which research is translated to innovations for societal benefit.

这个综合研究生教育和研究培训（IGERT）奖支持博士的跨学科培训。科学家和工程师致力于开发现代智能电网电力系统，该系统在公用事业公司和消费者之间进行广泛的交互和数据交换。该教育计划将技术，人类行为和政策集成在一个复杂的系统框架内，以了解综合电力系统的耦合动力学。智力优势：该培训计划将佛蒙特大学（UVM）复杂系统建模，人类行为，工程和政策方面的教育和研究与桑迪亚国家实验室现代电力系统，可再生能源和高性能计算方面的专业知识相结合，以培养学生有效地处理智能电网典型的综合技术-人类-政策系统。学员将在桑迪亚国家实验室完成暑期实习，参与佛蒙特州公共博物馆和能源节的外联活动，与尚普兰学院的游戏设计本科生合作，并参观佛蒙特州公用事业公司的财团，参与开发第一个全州范围的智能电网。 更广泛的影响：智能电网的发展需要从目前的集中式电力输送控制结构转变为分散式结构，其中消费者发挥着不可或缺的作用。设计、控制和优化智能电网以提供可靠、廉价的电力，需要公用事业公司理解、模拟和塑造人类行为反应，需要政府设计政策以提高能源效率和智能电网的采用。该培训计划为接受过复杂的人力-技术-政策系统综合方法培训的劳动力奠定了教育基础。IGERT是一个NSF范围内的计划，旨在满足教育美国博士的挑战。具有跨学科背景的科学家和工程师，在所选学科的深厚知识，以及未来职业需求所需的技术，专业和个人技能。该计划旨在为研究生教育和培训建立新的模式，为超越传统学科界限的合作研究创造肥沃的环境，并让学生了解研究转化为创新以造福社会的过程。

项目成果

Effect of rainfall transients on thermal and moisture exposure of underground electric cables

降雨瞬变对地下电缆热暴露和湿气暴露的影响

• DOI: 10.1016/j.ijheatmasstransfer.2014.09.070
• 发表时间: 2015
• 期刊: International Journal of Heat and Mass Transfer
• 影响因子: 5.2
• 作者: Marshall, Jeffrey S.;Fuhrmann, Andrew P.
• 通讯作者: Fuhrmann, Andrew P.

Transient lift force on a blade during cutting of a vortex with non-zero axial flow

非零轴流涡流切割过程中叶片上的瞬态升力

• DOI: 10.1017/jfm.2017.188
• 发表时间: 2017
• 期刊: Journal of Fluid Mechanics
• 影响因子: 3.7
• 作者: Saunders, D. Curtis;Marshall, Jeffrey S.
• 通讯作者: Marshall, Jeffrey S.

The effect of timescales on wind farm power variability with nonlinear model predictive control: Variability reduction in wind farm model predictive control

非线性模型预测控制下时间尺度对风电场功率变异性的影响：风电场模型预测控制中的变异性降低

• DOI: 10.1002/we.2128
• 发表时间: 2017
• 期刊: Wind Energy
• 影响因子: 4.1
• 作者: Curtis Saunders, D.;Marshall, Jeffrey S.;Hines, Paul D.
• 通讯作者: Hines, Paul D.

Vorticity reconnection during vortex cutting by a blade

刀片涡流切割过程中的涡重连接

• DOI: 10.1017/jfm.2015.531
• 发表时间: 2015
• 期刊: Journal of Fluid Mechanics
• 影响因子: 3.7
• 作者: Saunders, D. Curtis;Marshall, Jeffrey S.
• 通讯作者: Marshall, Jeffrey S.

Particle segregation in falling polydisperse suspension droplets

下落的多分散悬浮液滴中的颗粒分离

• DOI: 10.1017/jfm.2015.111
• 发表时间: 2015
• 期刊: Journal of Fluid Mechanics
• 影响因子: 3.7
• 作者: Faletra, Melissa;Marshall, Jeffrey S.;Yang, Mengmeng;Li, Shuiqing
• 通讯作者: Li, Shuiqing