Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids

Hamilton, Maurice E.; Lambert, James H.; Connelly, Elizabeth B.; Barker, Kash

doi:10.1016/j.ress.2016.01.005

Cited by 36 publications

(12 citation statements)

References 26 publications

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“…Furthermore, during the period, experts from the ADB, the Afghan national utility company, DABS, and the Afghan ministries of interior and defense provided feedback and revisions. The elicitations were performed using an iterative approach, as outlined by Hamilton et al, (57) where in the first round a sample analysis utilizing the methodology was presented to the group. From there, the lists of initiatives, criteria, and stressors were developed and initial assessments were made on initiative impact on criteria and stressor adjustment of criteria importance.…”

Section: Discussionmentioning

confidence: 99%

Resilience Analytics with Application to Power Grid of a Developing Region

et al. 2016

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Infrastructure development of volatile regions is a significant investment by international government and nongovernment organizations, with attendant requirements for risk management. Global development banks may be tasked to manage these investments and provide a channel between donors and borrowers. Moreover, various stakeholders from the private sector, local and international agencies, and the military can be engaged in conception, planning, and implementation of constituent projects. Emergent and future conditions of military conflict, politics, economics, technology, environment, behaviors, institutions, and society that stress infrastructure development are prevalent, and funding mechanisms are vulnerable to fraud, waste, and abuse. This article will apply resilience analytics with scenario-based preferences to identify the stressors that most influence a prioritization of initiatives in the electric power sector of Afghanistan. The resilience in this article is conceived in terms of the degree of disruption of priorities when stressors influence the preferences of stakeholders, and ultimately a prioritization of initiatives. The ancillary results include an understanding of which initiatives contribute most and least across strategic criteria and which criteria have the most impact for the analysis. The article concludes with recommendations for risk monitoring and risk management of the portfolio of stressors through the life cycle and horizon of grid capacity expansion.

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Section: Discussionmentioning

confidence: 99%

Resilience Analytics with Application to Power Grid of a Developing Region

et al. 2016

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“…describes a resilience analytic framework for a single group of stakeholders for prioritizing initiatives based on robustness across scenarios. This framework has been applied to many engineering topics, such as energy security, infrastructure investment, aviation biofuel, and others (Connelly et al., ; Hamilton et al., ; Lambert, ; Thorisson et al., ; You et al., ).…”

Section: Methodsmentioning

confidence: 99%

“…Ayyub () states that massive savings could be generated from improving system resilience at different levels, including the structural, network, and community levels, and this savings could be preserved by an appropriate definition of resilience. Recent developments in risk analysis and systems engineering have dealt with the topic of system resilience for physical infrastructure systems by addressing the influence of scenarios on priorities for systems in several fields of application (Almutairi, Thorisson, Wheeler, Slutzky, & Lambert, ; Connelly, Thorisson, Valverde, & Lambert, ; Hamilton, Lambert, Connelly, & Barker, ; Lambert, ; Thorisson, Lambert, Cardenas, & Linkov, ; You, Connelly, Lambert, & Clarens, ), where the term priorities has been defined as any set of assets, projects, policies, units, or other entities that matter to stakeholders who are involved in the analysis. However, in risk analysis, little or no attention has been given to enterprise resilience (Connelly, ).…”

Section: Introductionmentioning

confidence: 99%

“…The term resilience in this article is defined as the influences both of scenarios and of groups of stakeholders on the ordering of priorities. This resilience analytics framework integrates two existing published approaches: (i) stakeholder mapping (Cairns et al., ; Mendelow, ; Rosso et al., ), and (ii) scenario‐based preferences in risk analysis (Connelly et al., ; Hamilton et al., ; Lambert, ; Thorisson et al., ; You et al., ). The value of the framework is to highlight the most robust and highly prioritized initiatives, the least robust and highly prioritized initiatives, and the most and least disruptive scenarios for each group and for all groups, rather than to offer recommendations or decisions about how to mitigate the influences of scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Integrating Stakeholder Mapping and Risk Scenarios to Improve Resilience of Cyber‐Physical‐Social Networks

Almutairi

Wheeler²,

Slutzky

et al. 2019

Risk Analysis

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The future of energy mobility involves networks of users, operators, organizations, vehicles, charging stations, communications, materials, transportation corridors, points of service, and so on. The integration of smart grids with plug-in electric vehicle technologies has societal and commercial advantages that include improving grid stability, minimizing dependence on nonrenewable fuels, reducing vehicle emissions, and reducing the cost of electric vehicle ownership. However, ineffective or delayed participation of particular groups of stakeholders could disrupt industry plans and delay the desired outcomes. This article develops a framework to address enterprise resilience for two modes of disruptions-the first being the influence of scenarios on priorities and the second being the influence of multiple groups of stakeholders on priorities. The innovation of this study is to obtain the advantages of integrating two recent approaches: scenario-based preferences modeling and stakeholder mapping. Public agencies, grid operators, plug-in electric vehicle owners, and vehicle manufacturers are the four groups of stakeholders that are considered in this framework, along with the influence of four scenarios on priorities.

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“…Nonetheless, in practice, the infrastructure must face different types of risk linked to deliberate and involuntary human actions (human errors, vandalism, terrorism) and natural hazards, which generate different scenarios and thus different impacts on the CI. The sources and scenarios leading to the disruptive event are actually seldom taken into account but works have recently addressed this issue and explicitly quantified resilience against specific scenarios (Hamilton, Lambert, Connelly, & Barker, ; Thorisson, Lambert, Cardenas, & Linkov, ). These developments allow considering different uncertain future conditions across the system lifecycle, including technology, climate, economy, and others.…”

Section: Limits Linked To the Principle Of Current Approachesmentioning

confidence: 99%

Resilience of Critical Infrastructures: Review and Analysis of Current Approaches

Curt¹,

Tacnet

2018

Risk Analysis

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In crisis situations, systems, organizations, and people must react and deal with events that are inherently unpredictable before they occur: vital societal functions and thus infrastructures must be restored or adapted as quickly as possible. This capacity refers to resilience. Progress concerning its conceptualization has been made but it remains difficult to assess and apply in practice. The results of this article stem from a literature review allowing the analysis of current advances in the development of proposals to improve the management of infrastructure resilience. The article: (i) identifies different dimensions of resilience; (ii) highlights current limits of assessing and controlling resilience; and (iii) proposes several directions for future research that could go beyond the current limits of resilience management, but subject to compliance with a number of constraints. These constraints are taking into account different hazards, cascade effects, and uncertain conditions, dealing with technical, organizational, economical, and human domains, and integrating temporal and spatial aspects.

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Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids

Cited by 36 publications

References 26 publications

Resilience Analytics with Application to Power Grid of a Developing Region

Resilience Analytics with Application to Power Grid of a Developing Region

Integrating Stakeholder Mapping and Risk Scenarios to Improve Resilience of Cyber‐Physical‐Social Networks

Resilience of Critical Infrastructures: Review and Analysis of Current Approaches

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