Is it possible for atmospheric temperatures to cause a blackout?
Is it possible for atmospheric temperatures to cause a blackout?
Is it possible for atmospheric temperatures to cause a blackout?
Is it possible for atmospheric temperatures to cause a blackout?
Atmospheric temperatures, while not directly shutting off power, are a critical factor in the genesis and propagation of blackouts. Extreme heat or cold induces both direct physical stresses on infrastructure and indirect systemic vulnerabilities. The interconnected mechanisms through which temperature events provoke blackouts are well documented in empirical studies and modeling research.
High or low atmospheric temperatures sharply alter domestic, commercial, and industrial electricity demand. Heat waves notably increase the use of air conditioning, thereby driving up peak load to or beyond system capacity; cold snaps, especially in regions where electric heating is prevalent, exert a similar effect via heating loads[1][2][3]. When demand approaches or exceeds grid capability, utilities may need to implement rolling blackouts or face uncontrolled system collapses, as the surging load can overload transformers and transmission lines, risking cascading failures[4][5].
Extreme temperatures aggravate component failure probabilities, which, in tightly-coupled systems like power grids, can provoke cascading blackouts. Once key lines or generators fail (often from thermal overload or mechanical stress), remaining infrastructure may rapidly become overloaded, creating a domino effect[13][14][7][15][16]. The complex, self-organized criticality of the grid means that even small triggers under high stress conditions can propagate into large-scale blackouts[14][16][7].
Historic blackouts underline these mechanisms:
Advanced blackout models now explicitly integrate temperature effects to more accurately predict cascading blackout risks. For example, the improved OPA model simulates line failure from heating, while risk assessment studies confirm that incorporating thermal stress provides more realistic blackout probabilities and helps identify vulnerability hotspots[13][7][6][11][17].
With climate change, the frequency, duration, and intensity of extreme temperature events are projected to rise. This amplifies both chronic and acute stress on power systems and elevates blackout risks worldwide, as more severe heat waves, droughts, and cold snaps increasingly test the limits of aging infrastructure[4][8][9][5]. Adaptations for resilience must account for these evolving hazards[8][4][9][17].
In summary: Atmospheric temperatures are a principal driver of blackouts, acting through physical, operational, and systemic channels. Both extreme heat and cold materially increase the probability and severity of power outages by boosting demand, impairing supply, and stressing infrastructure, thus often triggering cascading failures within the power grid[6][7][4][2][8][9][11][5][17]. As such, understanding and mitigating temperature-induced stresses is essential for future-proofing electricity systems against widespread, climate-exacerbated blackouts.
HUANG, K., et al. The effect of extreme temperature on electricity consumption, air pollution, and gross domestic product. Energy & Environment, 2022. https://doi.org/10.1177/0958305x221130131.
SU, Yu-Wen. The effects of extreme high temperature day-off on electricity conservation. Weather, Climate, and Society, 2021. https://doi.org/10.1175/wcas-d-20-0176.1.
PARKPOOM, S.; HARRISON, G. Analyzing the impact of climate change on future electricity demand in thailand. IEEE Transactions on Power Systems, 2008. https://doi.org/10.1109/tpwrs.2008.922254.
PETITET, M.; UNEL, Burcin; FELDER, F. Making electricity capacity markets resilient to extreme weather events. Economics of Energy & Environmental Policy, 2023. https://doi.org/10.5547/2160-5890.12.2.mpet.
BRUMMITT, Charles D., et al. Transdisciplinary electric power grid science [preprint]. arXiv, 2013. arXiv:1307.7305. https://doi.org/10.1073/pnas.1309151110.
HENNEAUX, P.; LABEAU, P.; MAUN, J. Blackout probabilistic risk assessment and thermal effects: Impacts of changes in generation. IEEE Transactions on Power Systems, 2013. https://doi.org/10.1109/tpwrs.2013.2263851.
QI, Junjian; MEI, S.; LIU, Feng. Blackout model considering slow process. IEEE Transactions on Power Systems, 2013. https://doi.org/10.1109/tpwrs.2012.2230196.
SCHWEIKERT, A.; DEINERT, M. Vulnerability and resilience of power systems infrastructure to natural hazards and climate change. Wiley Interdisciplinary Reviews: Climate Change, 2021. https://doi.org/10.1002/wcc.724.
YATES, D., et al. Stormy weather: Assessing climate change hazards to electric power infrastructure: A sandy case study. IEEE Power and Energy Magazine, 2014. https://doi.org/10.1109/mpe.2014.2331901.
SHU, Shuang. Review of blackout in hainan on september 26th——causes and recommendations. Automation of electric power systems, 2006.
LEE, S., et al. Quantifying the power system resilience of the US power grid through weather and power outage data mapping. IEEE Access, 2024. https://doi.org/10.1109/access.2023.3347129.
CARRERAS, B., et al. Assessing blackout risk with high penetration of variable renewable energies. IEEE Access, 2021. https://doi.org/10.1109/access.2021.3114121.
MEI, S., et al. An improved OPA model and blackout risk assessment. IEEE Transactions on Power Systems, 2009. https://doi.org/10.1109/tpwrs.2009.2016521.
NEWMAN, D., et al. Exploring complex systems aspects of blackout risk and mitigation. IEEE Transactions on Reliability, 2011. https://doi.org/10.1109/tr.2011.2104711.
GUO, Jinpeng, et al. Quantifying the influence of component failure probability on cascading blackout risk [preprint]. arXiv, 2017. arXiv:1711.02580. https://doi.org/10.1109/tpwrs.2018.2809793.
NESTI, Tommaso; SLOOTHAAK, Fiona; ZWART, Bert. Emergence of scale-free blackout sizes in power grids [preprint]. arXiv, 2020. arXiv:2007.06967. https://doi.org/10.1103/physrevlett.125.058301.
XUE, Y. Extension of blackout defense scheme to natural disasters early-warning. Automation of electric power systems, 2013.
tlooto can make mistakes. Check important information against the original sources.