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Resilience Analytics with Application to Power Grid of a Developing Region
Heimir Thorisson1, James H Lambert1, John J Cardenas2
1Department of Systems & Information Engineering, University of Virginia, Charlottesville, VA, USA.
Summary
This study applies resilience analytics to Afghanistan's electric power sector, identifying key stressors impacting infrastructure development priorities. It offers recommendations for effective risk management in volatile regions.
Area of Science:
- Infrastructure development
- Risk management
- Resilience analytics
Background:
- International organizations invest heavily in volatile regions, requiring robust risk management for infrastructure projects.
- Global development banks, private sector, and military stakeholders are involved in project conception, planning, and implementation.
- Infrastructure development faces numerous stressors including conflict, political instability, economic fluctuations, and environmental factors, with funding vulnerable to fraud.
Purpose of the Study:
- To apply resilience analytics with scenario-based preferences to identify critical stressors.
- To determine the most influential stressors on prioritizing initiatives in Afghanistan's electric power sector.
- To understand stakeholder preferences and their impact on initiative prioritization.
Main Methods:
- Utilizing resilience analytics framework.
- Employing scenario-based preference analysis.
- Focusing on the electric power sector in Afghanistan.
Main Results:
- Identified key stressors significantly influencing infrastructure development priorities.
- Determined which initiatives contribute most and least across strategic criteria.
- Highlighted the impact of specific criteria on the overall analysis.
Conclusions:
- Recommendations for risk monitoring and management throughout the infrastructure project lifecycle.
- Emphasized the importance of understanding stakeholder preferences in prioritizing initiatives.
- Provided insights for enhancing grid capacity expansion in Afghanistan's power sector.
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