Planning Grant: Engineering Research Center for Integrated Systems Operations and Planning of a Carbon Neutral Electric Grid

规划资助:碳中和电网综合系统运行与规划工程研究中心

基本信息

项目摘要

The Planning Grants for Engineering Research Centers competition was run as a pilot solicitation within the ERC program. Planning grants are not required as part of the full ERC competition, but intended to build capacity among teams to plan for convergent, center-scale engineering research.The pathway to a sustainable carbon neutral electricity ecosystem requires a paradigm shift. While the new operational paradigm is not yet fully known, the new paradigm must cultivate an ecosystem that optimizes for stability, reliability, affordability, and carbon neutrality, while also accommodating a relentless list of needs: new stakeholders, industry models, and regulatory policies, the ever more rapid and numerous digital and technical advances, the increasing pervasiveness of the digital and technical (i.e., IoT), the variability and uncertainty in human behavior, the expected and unexpected transitions to more sustainable energy solutions, the need for flexibility and agility, and the anticipated climate variability. To achieve this, there must be a recognition of the significance of the value of the services enabled by energy rather than the energy itself. If successful, the planned ERC will be the first of its kind to bring convergence to power systems modeling and simulation with human centered modeling and simulation. The approach is critical, transformative, sustainable, and realistic, which not only leads us to a carbon-neutral energy grid, but also provides full human interaction and customer participation on a highly automated, large scale planning and operational framework. This ERC planning grant will further identify gaps, potential stakeholders including team expansion, key personnel and evaluate the goal and overarching objectives for the future center. Additionally, the potential ERC will have a broad set of university researchers and key industrial stakeholders across a broad range of disciplines and backgrounds including (1) power systems; (2) optimization and control; (3) high performance computing; (3) software engineering; (4) computational social science; (5) data science; (6) policy and government; (7) economics; (8) behavioral science, (9) environmental economics; (10) building architecture and design; (11) transportation planning; (12) cybersecurity. There is no base of modeling and simulation tools, methods, or experience to support such an unprecedented effort. Forecasting has been a science that has evolved slowly, relying heavily on experience from past data. But new science, enabling technology, and systems integration based on revolutionary improvements in predicting interactions by prosumers, a new blend of consumer and producer who responds to the available energy supply in complex ways governed by a system of transactional energy. The proposed center liberates the proposed team from the fundamental problems existing within the scope of current funding which achieve incremental improvements; this ERC aims to achieve a quantum leap by utilizing a digital twin that simultaneously manages complex scale and complex interdependencies. The PIs’ direct involvement in cutting-edge digital-twin development provides them the perspective to note that effectively addressing the challenges of integrating technologies at scale in an uncertain political, financial, and socio-economic landscape requires the type of transformative and convergent work that can only be performed through an ERC.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
工程研究中心竞赛的计划赠款是在ERC计划中作为试点招标进行的。在全面的ERC竞争中,不需要计划赠款,但旨在在团队之间建立能力,以计划收敛的中心规模工程研究。通往可持续的碳中性电力生态系统的途径需要范式转移。虽然新的操作范式尚不清楚,但新范式必须培养一个为稳定性,可靠性,可负担性和碳中性优化的生态系统,同时还接受了不断的需求清单:新的利益相关者,行业模型和监管策略,更快地,数字和技术的越来越快,多个数字性和技术性,即逐步和技术,I。I。在人类行为中,预期和意外的过渡到更可持续的能源解决方案,灵活性和敏捷性的需求以及预期的气候变化。为了实现这一目标,必须认识到由能源而不是能量本身实现的服务价值的重要性。如果成功的话,计划的ERC将是第一个以人为中心的建模和仿真将融合到电力系统建模和仿真的同类产品。该方法是至关重要的,变革性的,可持续的和现实的,不仅使我们获得了碳中性的能量网格,而且还提供了人类的完整互动和客户参与,并在高度自动化的大规模计划和运营框架上提供。这项ERC计划赠款将进一步确定差距,潜在的利益相关者,包括团队扩张,关键人员,并评估未来中心的目标和总体目标。此外,潜在的ERC将在广泛的学科和背景(包括(1)电力系统(1)电力系统(包括)的广泛学科和背景下,有大量的大学研究人员和主要的工业利益相关者; (2)优化和控制; (3)高性能计算; (3)软件工程; (4)计算社会科学; (5)数据科学; (6)政策和政府; (7)经济学; (8)行为科学,(9)环境经济学; (10)建筑架构和设计; (11)运输计划; (12)网络安全。没有建模和仿真工具,方法或经验的基础来支持这种前所未有的努力。预测一直是一门缓慢发展的科学,严重依赖过去数据的经验。但是,基于革命性改进的新科学,使技术和系统集成在预测Posumers的互动中,这是一种新的消费者和生产商的融合,他们以由交易能源系统管理的复杂方式对可用的能源供应做出了反应。拟议的中心将拟议的团队从当前资金范围内的基本问题中解放出来,这些问题实现了渐进的改进;该ERC的目的是利用仅管理复杂规模和复杂相互依赖的数字双胞胎来实现量子飞跃。 PIS直接参与尖端数字二线开发的参与使他们可以观察到注意到,在不确定的政治,财务和社会经济环境中,有效地应对将技术整合到大规模的挑战中影响审查标准。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Badrul Chowdhury其他文献

Distribution Market-Clearing and Pricing Considering Coordination of DSOs and ISO: An EPEC Approach
考虑 DSO 和 ISO 协调的分销市场出清和定价:EPEC 方法
  • DOI:
    10.1109/tsg.2021.3061282
  • 发表时间:
    2021-02
  • 期刊:
  • 影响因子:
    9.6
  • 作者:
    Houhe Chen;Linbo Fu;Linquan Bai;Tao Jiang;Yaosuo Xue;Rufeng Zhang;Badrul Chowdhury;Joseph Stekli;Xue Li
  • 通讯作者:
    Xue Li
Identifying Features Correlating to Poor Performance of Distribution System Near-Real-Time Power Flow
识别与配电系统近实时潮流性能不佳相关的特征
  • DOI:
    10.1109/naps58826.2023.10318794
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ken Crawford;G. Çakir;Mesut E. Baran;Oluwatimilehin Adeosun;Mariann Thomas;Shweta P. Patil;Valentina Cecchi;Badrul Chowdhury;Cara DeCoste Chacko
  • 通讯作者:
    Cara DeCoste Chacko
Outage Data Analytics for Correlating Resilience and Reliability
用于关联弹性和可靠性的断电数据分析
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Abdullah Al Mamun;Oussama Zenkri;Santhosh Madasthu;Robert Cox;Badrul Chowdhury
  • 通讯作者:
    Badrul Chowdhury
A comprehensive methodology for assessing the costs and benefits of renewable generation on utility operations
  • DOI:
    10.1016/j.renene.2021.05.110
  • 发表时间:
    2021-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Keith DSouza;Sumedh Halbe;Micah Thomas;Mesut Baran;Badrul Chowdhury;Peter Schwarz;Autumn Proudlove
  • 通讯作者:
    Autumn Proudlove

Badrul Chowdhury的其他文献

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{{ truncateString('Badrul Chowdhury', 18)}}的其他基金

Improving Grid Reliability With Distributed Energy and Storage
通过分布式能源和存储提高电网可靠性
  • 批准号:
    0523897
  • 财政年份:
    2005
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Standard Grant
Promoting Student Participation In the 35th North American Power Symposium; October 19-21, 2003; University of Missouri-Rolla, Missouri
促进学生参与第35届北美电力研讨会;
  • 批准号:
    0245351
  • 财政年份:
    2003
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Standard Grant
Mid-term Voltage Stability Assessment and Measures for Mitigating Voltage Collapse in Interconnected Power Grids
互联电网电压稳定中期评估及缓解电压崩溃措施
  • 批准号:
    9975713
  • 财政年份:
    1999
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Standard Grant
Restructuring Power Engineering Education to Meet New Challenges
重构电力工程教育迎接新挑战
  • 批准号:
    9619306
  • 财政年份:
    1997
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Standard Grant
NSF Travel Grant to Support Student Authors to Attend the 29th North American Power Symposium, to be held on October 12-13, 1997 in Laramie, Wyoming
NSF 旅行补助金支持学生作者参加将于 1997 年 10 月 12 日至 13 日在怀俄明州拉勒米举行的第 29 届北美电力研讨会
  • 批准号:
    9712863
  • 财政年份:
    1997
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Standard Grant
Conference: A Plan for Sponsored Attendance of Electrical Engineering Students to Attend IEEE-PES Summer Meeting in Denver, CO., July 28 - August 1, l996
会议:资助电气工程专业学生参加 1996 年 7 月 28 日至 8 月 1 日在科罗拉多州丹佛市举行的 IEEE-PES 夏季会议的计划
  • 批准号:
    9614202
  • 财政年份:
    1996
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Standard Grant
Computer-Aided Instruction Laboratory for Power System Engineering Education
电力系统工程教育计算机辅助教学实验室
  • 批准号:
    9250911
  • 财政年份:
    1992
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Standard Grant
An Expert System as a Dispatcher's Aid in Real Time Solutions of Optimal Power Flow
专家系统帮助调度员实时求解最佳潮流
  • 批准号:
    9014484
  • 财政年份:
    1990
  • 资助金额:
    $ 9.96万
  • 项目类别:
    Continuing Grant

相似国自然基金

权力何以授予:目标理论视角下领导授权行为的形成机制研究
  • 批准号:
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  • 批准年份:
    2017
  • 资助金额:
    18.0 万元
  • 项目类别:
    青年科学基金项目

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