Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
The increased intensity and frequency of heat waves are impacting power grid operation and communities worldwide. Resilience hubs can provide communities with several essential services and resources, including community-oriented resilience to heat waves. This paper presents a framework for siting resilience hubs to reduce community vulnerability to heat waves based on their household air conditioning systems, socioeconomic status, and urban heating effects. Additionally, this paper utilizes a mixed-integer linear programming model to design the energy system of a resilience hub to ensure the hub has sufficient power to provide services for its surrounding community, considering different outage scenarios during a heat wave. An economic analysis discusses the cost-effectiveness of different resilience hub designs. The methodology is applied to find optimal location of resilience hubs in the metro area of Salt Lake City, UT, to reduce vulnerability to heat waves.
Recommended Citation
Farley, Alex; Belnap, Hollis; and Parvania, Masood, "Siting and Sizing Resilience Hubs for Grid and Community Resilience during Heat Waves" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 9.
https://aisel.aisnet.org/hicss-58/es/renewable_resources/9
Siting and Sizing Resilience Hubs for Grid and Community Resilience during Heat Waves
Hilton Waikoloa Village, Hawaii
The increased intensity and frequency of heat waves are impacting power grid operation and communities worldwide. Resilience hubs can provide communities with several essential services and resources, including community-oriented resilience to heat waves. This paper presents a framework for siting resilience hubs to reduce community vulnerability to heat waves based on their household air conditioning systems, socioeconomic status, and urban heating effects. Additionally, this paper utilizes a mixed-integer linear programming model to design the energy system of a resilience hub to ensure the hub has sufficient power to provide services for its surrounding community, considering different outage scenarios during a heat wave. An economic analysis discusses the cost-effectiveness of different resilience hub designs. The methodology is applied to find optimal location of resilience hubs in the metro area of Salt Lake City, UT, to reduce vulnerability to heat waves.
https://aisel.aisnet.org/hicss-58/es/renewable_resources/9