CPS: Medium: Robust Distributed Wind Power Engineering

CPS:中:稳健的分布式风电工程

基本信息

  • 批准号:
    1523426
  • 负责人:
  • 金额:
    $ 47.44万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-11-11 至 2017-08-31
  • 项目状态:
    已结题

项目摘要

Harnessing wind energy is one of the pressing challenges of our time. The scale, complexity, and robustness of wind power systems present compelling cyber-physical system design issues. Leveraging the physical infrastructure at Purdue, this project aims to develop comprehensive computational infrastructure for distributed real-time control. In contrast to traditional efforts that focus on programming-in-the-small, this project emphasizes programmability, robustness, longevity, and assurance of integrated wind farms. The design of the proposed computational infrastructure is motivated by, and validated on, complex cyber-physical interactions underlying Wind Power Engineering. There are currently no high-level tools for expressing coordinated behavior of wind farms. Using the proposed cyber-physical system, the project aims to validate the thesis that integrated control techniques can significantly improve performance, reduce downtime, improve predictability of maintenance, and enhance safety in operational environments.The project has significant broader impact. Wind energy in the US is the fastest growing source of clean, renewable domestically produced energy. Improvements in productivity and longevity of this clean energy source, even by a few percentage points will have significant impact on the overall energy landscape and decision-making. Mitigating failures and enhancing safety will go a long way towards shaping popular perceptions of wind farms -- accelerating broader acceptance within local communities. Given the relative infancy of "smart" wind farms, the potential of the project cannot be overstated.
利用风能是我们这个时代的紧迫挑战之一。风力发电系统的规模、复杂性和鲁棒性提出了引人注目的网络物理系统设计问题。利用普渡大学的物理基础设施,该项目旨在为分布式实时控制开发全面的计算基础设施。与专注于小型项目的传统努力相反,该项目强调集成风电场的可编程性,鲁棒性,寿命和保证。所提出的计算基础设施的设计的动机,并验证,复杂的网络物理相互作用的基础风力发电工程。目前还没有用于表达风电场协调行为的高级工具。该项目旨在利用所提出的信息物理系统验证集成控制技术可以显著提高性能、减少停机时间、提高维护的可预测性以及增强操作环境中的安全性的论点。该项目具有重大的广泛影响。风能在美国是增长最快的清洁、可再生的国内生产能源。这种清洁能源的生产力和寿命的提高,即使只有几个百分点,也将对整体能源格局和决策产生重大影响。减少故障和提高安全性将大大有助于塑造公众对风力发电场的看法-加速当地社区更广泛的接受。考虑到“智能”风电场的相对幼稚,该项目的潜力怎么强调都不为过。

项目成果

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Jan Vitek其他文献

Julia’s efficient algorithm for subtyping unions and covariant tuples (Pearl)
Julia 用于子类型联合和协变元组的高效算法 (Pearl)
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Benjamin Chung;Francesco Zappa;Nardelli Inria;Jan Vitek;Francesco Zappa Nardelli
  • 通讯作者:
    Francesco Zappa Nardelli
Proceedings of the First International Workshop on Aliasing, Confinement and Ownership in Object-oriented Programming (IWACO)
第一届面向对象编程中的别名、限制和所有权国际研讨会 (IWACO) 论文集
  • DOI:
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Dave Clarke;Chandrasekhar Boyapati;Robert Lee;Richard Paige;J. Ostroff;Phillip Brooke;James Noble;Robert Biddle;E. Tempero;A. Potanin;Tian Zhao;Jens Palsberg;Jan;Sophia Drosspoulou;Workshop Organisers;Jonathan Aldrich;Doug Lea;Suny Oswego;David Naumann;Queen Mary;Martin Rinard;Jan Vitek;Anindya Banerjee;S. Drossopoulou;Matthew Smith;C. Pierik;Tobias Wrigstad;P. O 'hearn;John Tang Boyland;M. Fähndrich;K. Rustan;M. Leino;Scott F Smith;Mark Thober Discussion
  • 通讯作者:
    Mark Thober Discussion
Scoped types and aspects for real-time Java memory management
  • DOI:
    10.1007/s11241-007-9024-3
  • 发表时间:
    2007-05-23
  • 期刊:
  • 影响因子:
    1.300
  • 作者:
    Chris Andreae;Yvonne Coady;Celina Gibbs;James Noble;Jan Vitek;Tian Zhao
  • 通讯作者:
    Tian Zhao
Reusing Just-in-Time Compiled Code
重用即时编译的代码
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Meetesh Kalpesh Mehta;Sebastián Krynski;Hugo Musso Gualandi;Manas Thakur;Jan Vitek
  • 通讯作者:
    Jan Vitek
The JavaSeal Mobile Agent Kernel

Jan Vitek的其他文献

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{{ truncateString('Jan Vitek', 18)}}的其他基金

SHF: Small: Predictable Performance for Just-in-Time Compilation
SHF:小型:可预测的即时编译性能
  • 批准号:
    2139612
  • 财政年份:
    2022
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
CCRI: ENS: Collaborative Research: Enhancing R for Scalability and Deployment
CCRI:ENS:协作研究:增强 R 的可扩展性和部署
  • 批准号:
    1925644
  • 财政年份:
    2019
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
SHF: Small: Program Analysis for Data Science
SHF:小型:数据科学程序分析
  • 批准号:
    1910850
  • 财政年份:
    2019
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
SHF: Small: Collaborative Research: A Rational Reconstruction of the Julia Type System
SHF:小型:协作研究:Julia 类型系统的合理重建
  • 批准号:
    1908389
  • 财政年份:
    2019
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
NSF Student Travel Grant for 2017 Programming Language Implementation Summer School (PLISS)
NSF 2017 年编程语言实施暑期学校学生旅费补助金 (PLISS)
  • 批准号:
    1723053
  • 财政年份:
    2017
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
SHF: PROJECT DARWIN_ Towards Principled Language Evolution
SHF:达尔文计划_迈向有原则的语言进化
  • 批准号:
    1544542
  • 财政年份:
    2016
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
ECOOP Travel support
ECOOP 旅行支持
  • 批准号:
    1643041
  • 财政年份:
    2016
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
SHF: Small: Foundations of Just-in-Time Compilation
SHF:小型:即时编译的基础
  • 批准号:
    1618732
  • 财政年份:
    2016
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
European Conference on Object Oriented Programming
欧洲面向对象编程会议
  • 批准号:
    1521864
  • 财政年份:
    2015
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant
CSR: CC: Small: Collaborative Research: Language and Runtime Support for Large-Scale Data Analytics
CSR:CC:小型:协作研究:大规模数据分析的语言和运行时支持
  • 批准号:
    1460683
  • 财政年份:
    2014
  • 资助金额:
    $ 47.44万
  • 项目类别:
    Standard Grant

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