Identifying Best Performance Scenarios for Micro Nuclear Reactors During Grid Disruption

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Micro Nuclear Reactors (MNRs) are an emerging innovation in nuclear technology as small, portable, and self-sufficient reactor units in the size of a standard 40-foot shipping container. An MNR functions as a ?nuclear battery,? where each unit can power load capacities from 500 kilowatts (kW) to 5 megawatts (MW) over the lifetime of 1?10 years. This technology may deploy by the end of the 2020 decade, so private and government organizations have prepared for potential operational use for energy resilience. This research develops an emergency grid disruption timeline with MNR deployments to respond and recover grids after severe weather events. This response integrates a series of models for transportation networks, power distribution, and decision strategies that utilize MNR capabilities while using real-world disruption events within the past decade for scenarios. The study then seeks to analyze the performance of MNRs when using different deployment strategies for emergency grid disruption response. First, this research investigates the trade-offs between time and cost in the emergency grid disruption timeline when integrating MNRs. This research also explores the conditions of disruption scenarios that contribute to the best MNR performance in grid recovery

Citation Formats

TY - DATA AB - Micro Nuclear Reactors (MNRs) are an emerging innovation in nuclear technology as small, portable, and self-sufficient reactor units in the size of a standard 40-foot shipping container. An MNR functions as a “nuclear battery,” where each unit can power load capacities from 500 kilowatts (kW) to 5 megawatts (MW) over the lifetime of 1–10 years. This technology may deploy by the end of the 2020 decade, so private and government organizations have prepared for potential operational use for energy resilience. This research develops an emergency grid disruption timeline with MNR deployments to respond and recover grids after severe weather events. This response integrates a series of models for transportation networks, power distribution, and decision strategies that utilize MNR capabilities while using real-world disruption events within the past decade for scenarios. The study then seeks to analyze the performance of MNRs when using different deployment strategies for emergency grid disruption response. First, this research investigates the trade-offs between time and cost in the emergency grid disruption timeline when integrating MNRs. This research also explores the conditions of disruption scenarios that contribute to the best MNR performance in grid recovery AU - Ivey, Carlan A. A2 - Kay, Michael G. A3 - Thoney-Barletta, Kristin A. A4 - Hodgson, Thom J. A5 - McConnell, Brandon M DB - C-MIX - Community Microgrid Information Exchange DP - Open EI | National Laboratory of the Rockies DO - KW - Small nuclear reactors KW - Battery energy storage KW - Solar KW - Photovoltaics KW - PV KW - Diesel generators KW - Other liquid-fuel generators KW - Case studies KW - Performance KW - Resilience KW - Extreme weather KW - Standards KW - Interconnection KW - Protection LA - English DA - 2024/05/01 PY - 2024 PB - U.S. Army T1 - Identifying Best Performance Scenarios for Micro Nuclear Reactors During Grid Disruption UR - https://cmix.openei.org/submissions/418 ER -
Export Citation to RIS
Ivey, Carlan A., et al. Identifying Best Performance Scenarios for Micro Nuclear Reactors During Grid Disruption. U.S. Army, 1 May, 2024, C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/418.
Ivey, C., Kay, M., Thoney-Barletta, K., Hodgson, T., & McConnell, B. (2024). Identifying Best Performance Scenarios for Micro Nuclear Reactors During Grid Disruption. [Data set]. C-MIX - Community Microgrid Information Exchange. U.S. Army. https://cmix.openei.org/submissions/418
Ivey, Carlan A., Michael G. Kay, Kristin A. Thoney-Barletta, Thom J. Hodgson, and Brandon M McConnell. Identifying Best Performance Scenarios for Micro Nuclear Reactors During Grid Disruption. U.S. Army, May, 1, 2024. Distributed by C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/418
@misc{CMIX_Dataset_418, title = {Identifying Best Performance Scenarios for Micro Nuclear Reactors During Grid Disruption}, author = {Ivey, Carlan A. and Kay, Michael G. and Thoney-Barletta, Kristin A. and Hodgson, Thom J. and McConnell, Brandon M}, abstractNote = {Micro Nuclear Reactors (MNRs) are an emerging innovation in nuclear technology as small, portable, and self-sufficient reactor units in the size of a standard 40-foot shipping container. An MNR functions as a ?nuclear battery,? where each unit can power load capacities from 500 kilowatts (kW) to 5 megawatts (MW) over the lifetime of 1?10 years. This technology may deploy by the end of the 2020 decade, so private and government organizations have prepared for potential operational use for energy resilience. This research develops an emergency grid disruption timeline with MNR deployments to respond and recover grids after severe weather events. This response integrates a series of models for transportation networks, power distribution, and decision strategies that utilize MNR capabilities while using real-world disruption events within the past decade for scenarios. The study then seeks to analyze the performance of MNRs when using different deployment strategies for emergency grid disruption response. First, this research investigates the trade-offs between time and cost in the emergency grid disruption timeline when integrating MNRs. This research also explores the conditions of disruption scenarios that contribute to the best MNR performance in grid recovery}, url = {https://cmix.openei.org/submissions/418}, year = {2024}, howpublished = {C-MIX - Community Microgrid Information Exchange, U.S. Army, https://cmix.openei.org/submissions/418}, note = {Accessed: 2026-08-06} }

Details

Data from May 1, 2024

Last updated Mar 30, 2026

Submitted Jun 2, 2026

Organization

U.S. Army

Contact

Brandon M. McConnell

Authors

Carlan A. Ivey

U.S. Army

Michael G. Kay

NC State University

Kristin A. Thoney-Barletta

NC State University

Thom J. Hodgson

NC State University

Brandon M McConnell

NC State University
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