Katrina SGER: Data collection following Katrina: Interdependencies across time, space, and subsystems characterizing bulk energy transportation

Katrina SGER:卡特里娜飓风后的数据收集:跨时间、空间和子系统的相互依赖性表征大宗能源运输

基本信息

  • 批准号:
    0553979
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-10-01 至 2006-08-31
  • 项目状态:
    已结题

项目摘要

Catastrophic events like hurricane Katrina in the Gulf-Coast area encompass not only a dramatic cost in terms of human lives, but also a devastating effect in critical national infrastructure. The energy infrastructure located in the affected zones has fundamental importance in terms of the operation and performance of the U.S. energy system, which comprises the production, transportation, storage, and conversion of electricity, water, coal, and gas.After the destructive effects of hurricane Katrina were revealed, there was an almost immediate nationwide increase in energy prices and an instant sense of uncertainty in the energy industry about energy availability and prices for the forthcoming months. Because of the enormous complexity of the U.S. energy system, because of the existence of complex interdependencies and interactions between the different infrastructures, and because of the complex sequence of human decision-making associated with bulk energy production, transportation, conversion (generation), and delivery in the integrated energy industry, it is certainly not clear at this point how the hurricane Katrina will really affect the energy supply in terms of economic efficiency and energy availability.The U.S. energy system is composed of many interrelated energy subsystems. Three major subsystems for raw energy (coal, gas, and water) share with electricity the common characteristic that they can be moved in bulk quantities via a transportation network from the source of their production to the site of their use. These different transportation networks are highly coupled, and it is mainly through the electricity subsystem that these couplings take place.System interdependencies are hard to notice under normal operating conditions. When a major perturbation strikes the system, these interdependencies are likely to be revealed. The collection of data of such events and its posterior analysis is of high utility to adequately model the interdependencies and dynamics of the energy system and so to recognize the essential infrastructure that, if disrupted, may adversely affect the performance of other infrastructures. Stressed operating conditions of a highly interconnected and interdependent system will result in a change in the normal behavior of the decision-making processes. The study of the decision-making processes under extreme operating conditions will help to gain better understandings of the social and structural factors affecting the decision-making processes of system participants.Data collection from energy industries operating in the affected zone is of extreme importance in order to obtain a better understanding of the impact of catastrophic events in the energy system, to appreciate how events propagate geographically and in time, and to study infrastructure interdependencies. Acquiring such knowledge will be also very helpful in order to help prevent the most harmful effects, raise awareness about infrastructure vulnerabilities, and to improve the government and industry reaction capacity in the aftermath of catastrophic events. Furthermore, details about interdependent failure modes (cascading, escalating, and common cause failures), and also about the information flows among the decision makers, are data that by their own nature may be perishable. Therefore, it is very important to collect all this vital information while the information is still available.The objective of the project for which we request funds through this proposal is data collection in two complementary fronts, infrastructure interdependence failure data and decision-making processes under extreme conditions. An important portion of the data that this research project intends to gather is perishable data, therefore there is need to collect it before long from the field.
海湾沿岸地区的卡特里娜飓风等灾难性事件不仅造成巨大的人命损失,而且对重要的国家基础设施造成破坏性影响。受影响地区的能源基础设施对美国能源系统的运行和性能具有根本重要性,该系统包括电力,水,煤炭和天然气的生产,运输,储存和转换。在卡特里娜飓风的破坏性影响被揭示后,全国范围内的能源价格几乎立即上涨,能源行业对未来几个月的能源供应和价格立即感到不确定。由于美国能源系统的巨大复杂性,由于不同基础设施之间存在复杂的相互依赖性和相互作用,以及由于与大宗能源生产、运输、转换相关的人类决策的复杂顺序,(发电)和综合能源行业的交付,在这一点上,卡特里娜飓风在经济效率和能源可用性方面将如何真正影响能源供应当然还不清楚。2美国能源系统由许多相互关联的能源子系统组成。原能源的三个主要子系统(煤、天然气和水)与电力有一个共同的特点,即它们可以通过运输网络从生产地大量运输到使用地。这些不同的运输网络是高度耦合的,这些耦合主要通过电力子系统发生。在正常运行条件下,系统的相互依赖性很难被注意到。当一个大的扰动冲击系统时,这些相互依赖性很可能会被揭示出来。此类事件的数据收集及其事后分析对于充分建模能源系统的相互依赖性和动态具有很高的实用性,从而识别重要的基础设施,如果这些基础设施受到破坏,可能会对其他基础设施的性能产生不利影响。一个高度相互关联和相互依赖的系统的压力运行条件将导致决策过程的正常行为发生变化。研究极端运行条件下的决策过程将有助于更好地了解影响系统参与者决策过程的社会和结构因素,从受影响地区的能源行业收集数据对于更好地了解灾难性事件对能源系统的影响至关重要,了解事件如何在地理上和时间上传播,并研究基础设施的相互依赖性。 获得这些知识也将非常有助于防止最有害的影响,提高对基础设施脆弱性的认识,并提高政府和行业在灾难性事件发生后的反应能力。此外,关于相互依赖的故障模式(级联、升级和共因故障)以及决策者之间的信息流的详细信息,就其本身的性质而言,可能是易逝的数据。因此,在信息仍然可用的情况下收集所有这些重要信息是非常重要的。我们通过本提案申请资金的项目的目标是在两个互补的方面收集数据,即基础设施相互依赖性故障数据和极端条件下的决策过程。该研究项目打算收集的数据的一个重要部分是易腐数据,因此需要在不久的将来从实地收集。

项目成果

期刊论文数量(0)
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科研奖励数量(0)
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James McCalley其他文献

Occupant-driven end use load models for demand response and flexibility service participation of residential grid-interactive buildings
用于住宅电网交互建筑需求响应和灵活性服务参与的居住者驱动的最终用途负荷模型
  • DOI:
    10.1016/j.jobe.2024.110406
  • 发表时间:
    2024-11-01
  • 期刊:
  • 影响因子:
    7.400
  • 作者:
    Brady Berg;Niraj Kunwar;Patricia Guillante;Soham Vanage;Roohany Mahmud;Kristen Cetin;Ali Jahanbani Ardakani;James McCalley;Yu Wang
  • 通讯作者:
    Yu Wang
Grid-scale demand-side flexibility services using commercial buildings lighting loads
  • DOI:
    10.1016/j.enbuild.2023.113631
  • 发表时间:
    2023-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Soham Vanage;Kristen Cetin;James McCalley;Yu Wang
  • 通讯作者:
    Yu Wang

James McCalley的其他文献

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{{ truncateString('James McCalley', 18)}}的其他基金

RAPID: Re-developing Puerto Rico's Electric System for Infrastructure Integrity
RAPID:重新开发波多黎各电力系统以确保基础设施完整性
  • 批准号:
    1810800
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
IGERT: A New PhD Program in Wind Energy Science, Engineering and Policy
IGERT:风能科学、工程和政策的新博士项目
  • 批准号:
    1069283
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
EFRI-RESIN: 21st Century National Energy and Transportation Infrastructures: Balancing Sustainability, Costs, and Resiliency (NETSCORE-21)
EFRI-RESIN:21 世纪国家能源和交通基础设施:平衡可持续性、成本和弹性 (NETSCORE-21)
  • 批准号:
    0835989
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
DDDAS-TMRP: Auto-Steered Information-Decision Processes for Electric System Asset Management
DDDAS-TMRP:电力系统资产管理的自动引导信息决策流程
  • 批准号:
    0540293
  • 财政年份:
    2006
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Decision Models for Bulk Energy Transportation Networks
大宗能源运输网络的决策模型
  • 批准号:
    0527460
  • 财政年份:
    2005
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Renewal of PSERC IUCRC Site at Iowa State University
爱荷华州立大学 PSERC IUCCRC 网站更新
  • 批准号:
    0439175
  • 财政年份:
    2004
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
EPNES: Planning Reconfiguratble Power System Control for Transmission Enhancement with Cost-Recovery Systems
EPNES:规划可重构电力系统控制,通过成本回收系统增强输电能力
  • 批准号:
    0323734
  • 财政年份:
    2003
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
SGER: Development of Distributed Knowledge Networks to Provide Decision-Support for Security-Economy Decisions in Operating Stressed Power Systems
SGER:开发分布式知识网络,为运行压力电力系统中的安全经济决策提供决策支持
  • 批准号:
    0087152
  • 财政年份:
    2000
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Module Based Multimedia Courseware Development for Power System Education
基于模块的电力系统教育多媒体课件开发
  • 批准号:
    9619267
  • 财政年份:
    1997
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CAREER: Development of Probabilistic Approaches for Security Assessment in Operating Electric Power Systems
职业:电力系统运行安全评估概率方法的开发
  • 批准号:
    9502790
  • 财政年份:
    1995
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant

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SGER: Emergency Analyses and Reporting for the Wales Archaeology Project Collections and Data
SGER:威尔士考古项目收集和数据的紧急分析和报告
  • 批准号:
    0914820
  • 财政年份:
    2009
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  • 批准号:
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SGER: Exploring Data-Parallel Techniques for Mega-Scale Agent Based Model Simulations on Graphics Processing Units
SGER:探索图形处理单元上基于大规模代理的模型仿真的数据并行技术
  • 批准号:
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SGER - Final Processing and Publication of Conductive Heat Flow Data from the Endeavour Hydrothermal Field, Juan de Fuca Ridge
SGER - 来自胡安德富卡海岭奋进热液田的传导热流数据的最终处理和发布
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SGER:使用基于先进技术的数据收集,对 2007 年加州野火之后的城市和结构脆弱性进行基准测试
  • 批准号:
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  • 批准号:
    0841765
  • 财政年份:
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