Award Abstract # 2220626
NNA Research: Collaborative Research: Foundations for Improving Resilience in the Energy Sector against Wildfires on Alaskan Lands (FIREWALL)

NSF Org: RISE
Integrative and Collaborative Education and Research (ICER)
Recipient: GEORGE WASHINGTON UNIVERSITY (THE)
Initial Amendment Date: August 8, 2022
Latest Amendment Date: August 8, 2022
Award Number: 2220626
Award Instrument: Standard Grant
Program Manager: Kendra McLauchlan
kmclauch@nsf.gov
 (703)292-2217
RISE
 Integrative and Collaborative Education and Research (ICER)
GEO
 Directorate for Geosciences
Start Date: September 1, 2022
End Date: August 31, 2026 (Estimated)
Total Intended Award Amount: $900,000.00
Total Awarded Amount to Date: $900,000.00
Funds Obligated to Date: FY 2022 = $900,000.00
History of Investigator:
  • Payman Dehghanian (Principal Investigator)
    payman@gwu.edu
  • Miguel Lejeune (Co-Principal Investigator)
  • Donna Attanasio (Co-Principal Investigator)
  • Robert Orttung (Co-Principal Investigator)
Recipient Sponsored Research Office: George Washington University
1918 F ST NW
WASHINGTON
DC  US  20052-0042
(202)994-0728
Sponsor Congressional District: 00
Primary Place of Performance: The George Washington University
800 22nd St. NW
WASHINGTON
DC  US  20052-0066
Primary Place of Performance
Congressional District:
00
Unique Entity Identifier (UEI): ECR5E2LU5BL6
Parent UEI:
NSF Program(s): NNA-Navigating the New Arctic
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 5294, 072Z
Program Element Code(s): 104Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

Navigating the New Arctic (NNA) is one of NSF's 10 Big Ideas. NNA projects address convergence scientific challenges in the rapidly changing Arctic. This Arctic research is needed to inform the economy, security and resilience of the Nation, the larger region and the globe. NNA empowers new research partnerships from local to international scales, diversifies the next generation of Arctic researchers, enhances efforts in formal and informal education, and integrates the co-production of knowledge where appropriate. This award fulfills part of that aim by addressing interactions among social systems, natural environment, and built environment in the following NNA focus areas: Arctic Residents, Data and Observation, Forecasting, and Resilient Infrastructure.

In recent years, Alaska has witnessed high-intensity wildfires that often grow to tens or hundreds of thousand acres within days, both in remote, sparsely populated rural areas and close to population centers. Wildfires are projected to increase due to climate change and present new and emerging risks to Alaskan energy infrastructure and communities needing electricity for daily life and health services. Alaska is especially vulnerable to wildfires due to its isolated electricity grid, fire-prone boreal forests, and extreme fire behavior, as well as the critical dependence of its rural communities on electricity for health and year-round food supply. There is an urgent need to empower Arctic communities, electric utilities, emergency responders, and health organizations to collaboratively share resources and exchange information for improved situational awareness and resilience against wildfires. The FIREWALL research project will advance the knowledge on (1) how elements of the natural environment, energy infrastructure, and social systems interact with one another before, during, and following wildfires, and (2) how to enable a collaborative framework for decision-making and communication among multi-sectoral stakeholders to reduce wildfire risks faced by communities and electric utilities.

The FIREWALL project will develop a risk-informed decision-making platform that integrates (1) formation, short-term prediction, and spatiotemporal propagation analysis of wildfires on Alaskan lands, (2) Alaska?s electricity network planning, preparedness, response, and mitigation facing wildfires, and (3) community health and social vulnerability metrics. The project will establish a shared understanding of the problem by engaging in focus groups, listening sessions, and surveys with community partners. The decision-making platform will be evaluated in a range of short-term and long-term use cases for the electric utilities, forestry managers, and emergency responders under different fire regimes, and will be tested in a number of wildfire-prone geographical zones in Alaska. The project outcomes will bridge the gap between social and environmental challenges with community-in-the-loop engineering solutions for wildfire resilience, and provide Arctic residents with numerous educational opportunities. The education activities include outreach to K-12 teachers and students, and training the multi-sectoral stakeholders using the FIREWALL platform products to facilitate a smooth transition for deployment in practice. The project will have the potential to form holistic integrated roadmaps that can enhance public safety and resilience of the mission-critical lifeline infrastructure in Alaska and beyond when facing future wildfire disasters.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Hijazi, Maeshal and Dehghanian, Payman "Spatio-Temporal Insights into Recent Electricity Outages in the U.S.: Drivers, Trends, and Impacts" 2022 North American Power Symposium (NAPS) , 2022 https://doi.org/10.1109/NAPS56150.2022.10012239 Citation Details
Lejeune, Miguel and Royset, Johannes O and Ma, Wenbo "Multiagent search for a moving and camouflaging target" Naval Research Logistics (NRL) , v.71 , 2024 https://doi.org/10.1002/nav.22160 Citation Details
Nazemi, Mostafa and Dehghanian, Payman and Darestani, Yousef and Su, Jinshun "Parameterized Wildfire Fragility Functions for Overhead Power Line Conductors" IEEE Transactions on Power Systems , v.39 , 2024 https://doi.org/10.1109/TPWRS.2023.3298769 Citation Details
Su, Jinshun and Anokhin, Dmitry and Dehghanian, Payman and Lejeune, Miguel A. "On the Use of Mobile Power Sources in Distribution Networks Under Endogenous Uncertainty" IEEE Transactions on Control of Network Systems , v.10 , 2023 https://doi.org/10.1109/TCNS.2023.3256278 Citation Details
Su, Jinshun and Dehghanian, Payman "Post - Disaster Dispatch of Transportable Wind Turbines for Enhancing Resilience of Power Distribution Systems" , 2024 https://doi.org/10.1109/TPEC60005.2024.10472177 Citation Details
Su, Jinshun and Mehrani, Saharnaz and Dehghanian, Payman and Lejeune, Miguel A. "Quasi Second-Order Stochastic Dominance Model for Balancing Wildfire Risks and Power Outages Due to Proactive Public Safety De-Energizations" IEEE Transactions on Power Systems , v.39 , 2024 https://doi.org/10.1109/TPWRS.2023.3289788 Citation Details
Su, Jinshun and Zhang, Ruotan and Dehghanian, Payman and Kapourchali, Mohammad Heidari "Pre-Disaster Allocation of Mobile Renewable-Powered Resilience-Delivery Sources in Power Distribution Networks" , 2023 https://doi.org/10.1109/NAPS58826.2023.10318581 Citation Details
Su, Jinshun and Zhang, Ruotan and Dehghanian, Payman and Kapourchali, Mohammad Heidari and Choi, Sungyun and Ding, Zhaohao "Renewable-dominated mobility-as-a-service framework for resilience delivery in hydrogen-accommodated microgrids" International Journal of Electrical Power & Energy Systems , v.159 , 2024 https://doi.org/10.1016/j.ijepes.2024.110047 Citation Details
Zhang, Ruotan and Su, Jinshun and Dehghanian, Payman and Alhazmi, Mohannad "Deep Reinforcement Learning-Aided Pre-Positioning of Mobile Wind Turbines to Enhance Power Distribution System Resilience" , 2024 Citation Details

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