Abstract
The United States is affected by an average of almost seven severe weather events a year, often resulting in billions of dollars in physical and economic damages, a subset of which are related to grid outages. There is a need for power and energy system stakeholders to better understand and implement the strategies that help reduce net-economic and societal consequences associated with grid outages by improving the resilience of their systems. In addition, there are incentives to reduce emissions and meet climate goals, several pathways of which include resilient technologies. Including resilience constraints and metrics in energy system planning models may help inform the design of more resilient systems that are also more renewable and sustainable. This paper reviews qualitative definitions of resilience, quantitative approaches to resilience, recent examples of the inclusion of resilience in energy system models with respect to acute climatological threats, and the gaps in fully articulating resilience in current modeling tools. We then outline steps to effectively improve resilience considerations against such threats into energy sector modeling tools. Based on the findings, the authors propose a novel framework for energy system resilience assessment and future areas of research to bridge the current modeling gaps.
Original language | American English |
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Article number | 112841 |
Number of pages | 12 |
Journal | Renewable and Sustainable Energy Reviews |
Volume | 168 |
DOIs | |
State | Published - Oct 2022 |
Bibliographical note
Publisher Copyright:© 2022 Elsevier Ltd
NREL Publication Number
- NREL/JA-6A20-83875
Keywords
- Energy system models
- Natural disasters
- Optimization models
- Resilience