With increasing utility grid outages in the United States, there is growing interest in assessing risk and developing mitigation strategies to reduce the impact of grid outages. Working with the U.S. Air Force, the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) developed a replicable energy resilience assessment methodology and investment decision tool to: (1) identify and score hazards and vulnerabilities at the site level; (2) analyze risks to energy infrastructure; and (3) identify and prioritize energy resilience investments. This work improves on existing resilience assessment methodologies and tools by combining a bottom-up, all-hazards assessment methodology with top-down geographic information system mapping capabilities to provide an innovative, dynamic tool for identifying and prioritizing actionable solutions. This process combines probabilistic forecasting with an iterative approach for continuously updating and reassessing risks to address temporal dynamism. Relationships among systems are modeled and visualized to estimate the effectiveness of resilience actions across multiple interdependent systems and inform financial priorities through cost-difficulty-impact trade-offs. The approach is validated in a case study at Tyndall Air Force Base (AFB) in Florida, which experienced a Category 5 hurricane in 2018. The risks and mitigation strategies identified pre-hurricane are compared with post-hurricane, realized impacts. The assessment effectively identifies risks and actions to increase site energy resilience, but the methodology can be enhanced though greater consideration of the interdependencies between the energy system and related systems like transportation, communication, and food/water systems, which impact the recovery of the energy system and the base.

随着美国公用事业电网中断的增加，人们越来越有兴趣评估风险并制定缓解策略以减少电网中断的影响。美国能源部国家可再生能源实验室（NREL）与美国空军合作，开发了可复制的能源弹性评估方法和投资决策工具，以：（1）在站点级别识别和评分危害和脆弱性；（2）分析能源基础设施的风险；（3）确定和优先考虑能源弹性投资。这项工作通过将自下而上的所有危害评估方法与自上而下的地理信息系统映射功能相结合，改进了现有的弹性评估方法和工具，从而提供了创新的，确定和优先考虑可行解决方案的动态工具。此过程将概率预测与迭代方法相结合，以不断更新和重新评估风险以解决时间动态问题。对系统之间的关系进行建模和可视化，以估计多个相互依赖的系统之间的弹性行动的有效性，并通过成本-影响-权衡取舍来告知财务优先事项。该方法在佛罗里达州廷德尔空军基地（AFB）的一项案例研究中得到了验证，该案例在2018年遭受了5级飓风的袭击。将飓风发生前的风险和缓解策略与飓风发生后的实际影响进行了比较。该评估有效地识别了风险和采取措施来提高站点的能源弹性，