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A Method to estimate the economy-wide consequences of widespread, long duration electric power interruptions

Author

Listed:
  • Ian Sue Wing

    (Boston University)

  • Peter H. Larsen

    (Lawrence Berkeley National Laboratory)

  • Juan Pablo Carvallo

    (Lawrence Berkeley National Laboratory)

  • Alan Sanstad

    (Lawrence Berkeley National Laboratory)

  • Dan Wei

    (University of Southern California)

  • Adam Rose

    (University of Southern California)

  • Sunhee Baik

    (Lawrence Berkeley National Laboratory)

  • Jeremy Smith

    (California Energy Commission)

  • Christopher Ramee

    (Resource Innovations Inc.)

  • Ridge Peterson

    (Resource Innovations Inc.)

Abstract

We partnered with a utility in the U.S. state of Illinois to develop and pilot an approach to estimate the economic impacts of widespread, long duration (WLD) power interruptions. We surveyed their customers about hypothetical blackouts, identifying and classifying mitigating/resilience behaviors and quantifying their costs and benefits. Survey results are scaled up to the broader regional economy, and used to drive a computational general equilibrium (CGE) simulation of the effects of power interruptions and attendant customer responses (e.g., relocation, backup generation). Impacts are severe: 1-, 3-, and 14-day interruptions reduce the utility service area’s three-month GDP by $1.8 Bn (1.3%), $3.7 Bn (2.6%) and $15.2 Bn (10.4%), respectively, with losses driven overwhelmingly by disequilibrium responses to shortages as opposed to price signals (71%–88%). Doubling backup power penetration moderates GDP losses by 11%–14%, and is relatively least beneficial during the longest interruption duration. Results highlight previously unquantified economic losses that can potentially be avoided by investments in power system resilience.

Suggested Citation

  • Ian Sue Wing & Peter H. Larsen & Juan Pablo Carvallo & Alan Sanstad & Dan Wei & Adam Rose & Sunhee Baik & Jeremy Smith & Christopher Ramee & Ridge Peterson, 2025. "A Method to estimate the economy-wide consequences of widespread, long duration electric power interruptions," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58537-4
    DOI: 10.1038/s41467-025-58537-4
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    References listed on IDEAS

    as
    1. Sue Wing, Ian & Rose, Adam Z., 2020. "Economic consequence analysis of electric power infrastructure disruptions: General equilibrium approaches," Energy Economics, Elsevier, vol. 89(C).
    2. Adam Rose & Shu‐Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112, February.
    3. Sunhee Baik & Alexander L. Davis & Jun Woo Park & Selin Sirinterlikci & M. Granger Morgan, 2020. "Estimating what US residential customers are willing to pay for resilience to large electricity outages of long duration," Nature Energy, Nature, vol. 5(3), pages 250-258, March.
    4. Adam Rose & Gbadebo Oladosu & Shu‐Yi Liao, 2007. "Business Interruption Impacts of a Terrorist Attack on the Electric Power System of Los Angeles: Customer Resilience to a Total Blackout," Risk Analysis, John Wiley & Sons, vol. 27(3), pages 513-531, June.
    5. Marco Casari & Simon Wilkie, 2005. "Sequencing Lifeline Repairs After an Earthquake: An Economic Approach," Journal of Regulatory Economics, Springer, vol. 27(1), pages 47-65, September.
    6. Dormady, Noah C. & Rose, Adam & Roa-Henriquez, Alfredo & Morin, C. Blain, 2022. "The cost-effectiveness of economic resilience," International Journal of Production Economics, Elsevier, vol. 244(C).
    7. Thomas, Douglas & Fung, Juan, 2022. "Measuring downstream supply chain losses due to power disturbances," Energy Economics, Elsevier, vol. 114(C).
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