GCRI · Energy Nexus

Nuclear energy and the safety interface

Nuclear power provides firm low-carbon electricity in a number of countries, and its operation is governed by a distinct safety regime that energy policy does not override. This page sets out where energy system questions meet regulated nuclear safety: the grid dependence of reactors, cooling under heat and drought, fuel supply, and fleet-wide unavailability. It states the boundary plainly: safety judgements belong to independent nuclear regulators, not to energy analysis.

02The question

Nuclear energy and the safety interface: how the risk develops.

Energy science and regulated nuclear-safety boundaries. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Reactors depend on the grid

A nuclear plant needs power for its safety systems even when shut down. Grid disturbances can trip reactors, and a loss of off-site power must be covered by on-site emergency generators and batteries until supply returns.

Mechanism

Cooling and weather constraints

Plants cooled by rivers may reduce output in heat waves and low flows to protect the river and meet permits. Sites are designed against flood, storm surge and other external events, and those designs are reviewed periodically as hazards change.

Mechanism

Fleet behaviour affects the system

A generic defect found in one reactor can lead a regulator to inspect or shut similar units, removing a large block of firm capacity at once. Adequacy studies must treat such common-mode unavailability explicitly.

Mechanism

Independent regulatory authority

Decisions on licensing, long-term operation and restart rest with an independent regulator applying safety requirements. Energy security arguments inform energy policy but do not substitute for a safety case or its review.

03Geography

Energy now in Europe.

Night lights, population density and land cover over Europe, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Energy now, for this page

About this layer
Evidence
Observed
Source
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Provider
NASA LAADS DAAC
Licence
NASA open data
Vintage
daily; Satellite radiance, corrected for moonlight and atmosphere
Newest at build
2026-10-12
Resolution
about 500 m grid
Uncertainty
Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
null; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS NOAA-20 (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite retrieval; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 1 km grid
Uncertainty
Satellite skin temperature of the ground on the day shown, an indicator of cooling demand; not air temperature or a heat warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest month GIBS publishes)
Source
MERRA-2 (NASA GMAO / GES DISC)
Provider
NASA GMAO / GES DISC
Licence
NASA open data
Vintage
monthly; Reanalysis model; latest month GIBS publishes
Newest at build
2026-07-01
Resolution
about 2 km grid
Uncertainty
Reanalysis model estimate of monthly mean incoming sunlight over land; an indicator of solar resource, not a site yield assessment.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Energy now, framed on Europe.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA/NOAA VIIRS · NASA JPL OPERA DIST-ALERTSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MERRA-2 reanalysis, NASA Global Modeling and Assimilation Office; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Observed (EO): NASA/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
  • Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (10 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Land surface temperature, day: VIIRS NOAA-20, NASA LANCE · 13 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Incoming sunlight at the surface over land, monthly mean: MERRA-2, NASA GMAO / GES DISC · July 2026

04Couplings

Where nuclear safety depends on other systems.

DomainHow it couples hereWhat to watch
WaterPlants need cooling water; extreme heat or low flow can force reduced output.Cooling water temperature limits
EnergyOff-site power for safety systems depends on the grid; loss of off-site power is a design basis event. See grid disruption and recovery.Off-site power reliability; diesel backup autonomy
HealthEmergency planning zones protect nearby populations. See radiological and nuclear risk.Emergency arrangements under IAEA GSR Part 7
BiodiversityThermal discharges affect rivers and coasts.Discharge temperature monitoring

Safety rests on the IAEA Fundamental Safety Principles (SF-1, 2006) and the Convention on Nuclear Safety (1994). The IAEA’s 2015 report on the Fukushima Daiichi accident drew lessons on external hazards and station blackout; its seven indispensable pillars of 2022 address safety and security during armed conflict.

05Monitor

Hydro and cooling water watch.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Hydro and cooling water watch

Nuclear energy and the safety interface · Hydro cascade · Dry season

  • Hydro storage, % of capacity
    474Watch
  • River temperature at intake
    26°CWatch
  • Derating risk, next 7 days
    5plantsAlert
Cooling water near limitGCRI · Energy Nexus

River temperature

Plants exposed

TP-2Thermal1.9Derate plan
NP-1Nuclear2.6Monitor
HP-3Hydron/aRelease limited
Hydro and cooling water watch: the screen’s structure, terms and states for Nuclear energy and the safety interface.Example names and illustrative values; a design, not a record or a live system.
06Reports, standards and contributions

Nuclear interface evidence and its limits.

Studies of the dependencies around nuclear facilities are designed for the Strategic Systems series. The Global Centre for Risk and Innovation (GCRI) has no regulatory, licensing or inspection role; national regulators and the IAEA hold those. Sensitive plant information is never sought or published.

07Simulator

A cascade through interdependent networks.

A hazard footprint takes out co-located assets in every layer; fragmentation, dependency between layers and overload of the survivors then spread the failure. The 3D view separates the layers by depth. Teaching model with stated illustrative values, not a prediction. The map on this page shows Europe; the model itself is not tied to a place.

Controls

Assets per layer
18
Hazard footprint
8% of area
Assets that depend on another layer
60%
Spare capacity (tolerance)
30%

Readouts

Assets hit by the hazard
6%
Assets still working
46%
Amplification of the initial damage
9.7 times
Steps to settle
5
Numbers, methods and sources
StepPower working (%)Gas working (%)Telecoms working (%)
01008994
11006183
2943956
3723950
4613950
5563944

Methods

  1. Interdependent networks Buldyrev and others (2010), Catastrophic cascade of failures in interdependent networks, Nature 464
  2. Overload cascades Motter and Lai (2002), Physical Review E 66
  3. Betweenness load Brandes (2001), Journal of Mathematical Sociology 25
  4. Multilayer networks Kivela and others (2014), Journal of Complex Networks 2
  5. Infrastructure interdependencies Rinaldi, Peerenboom and Kelly (2001), IEEE Control Systems 21(6)
  6. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  7. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • Major roads Natural Earth
  • Railways Natural Earth
  • Seaports Natural Earth
  • Airports Natural Earth
  • Urban extents Natural Earth
  • Night lights tonight, outages (VIIRS Day/Night Band) NASA/NOAA VIIRS (Suomi NPP) · register nasa.gibs.context-live-layers
  • Natural events (NASA EONET) NASA EONET · register nasa.eonet.events
A cascade through interdependent networks. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Interdependent networks (Buldyrev and others (2010), Catastrophic cascade of failures in interdependent networks, Nature 464); Overload cascades (Motter and Lai (2002), Physical Review E 66); Betweenness load (Brandes (2001), Journal of Mathematical Sociology 25).
08Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Unit capability factorpercentannualOperator reporting to international databasesREPORTED
Unplanned automatic reactor shutdownsevents per unit per yearannualRegulator and operator performance indicatorsREPORTED
Loss of off-site power eventsevents per siteper eventRegulator event reportsPublished statistics
Output reductions for cooling-water constraintsmegawatt hoursper eventOperator notificationsREPORTED
Capacity under long-term operation licencesmegawatts electricannualLicensing recordsPublished statistics
Unavailable nuclear capacitymegawattsdailyTransparency platform outage noticesPublished statistics
09Twin and cascade simulator

Model nuclear energy and the safety interface as a system. Run the cascade.

Assembled from the Nexus Standards area profile Energy risk standards: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Heatwave
  • Windstorm
  • Widespread power outage (set off downstream)
  • Large forest disturbance (set off downstream)
  • Wildfire (set off downstream)
  • Extreme fire weather (set off downstream)
  • Heat-driven grid stress (set off downstream)
  • Agricultural drought (set off downstream)
  • Flash drought (set off downstream)
  • Snow drought (set off downstream)
  • Ground-level ozone episode (set off downstream)
  • Meteorological drought (set off downstream)
  • Extreme night-time heat (set off downstream)
  • Lake and river heatwave (set off downstream)
  • Cooling-water curtailment of power plants (set off downstream)
  • Heat-induced track buckling (set off downstream)
  • Shoreline ice shove (set off downstream)
  • Seiche (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-1 The UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NRS-H84 Hazard family: Energy system instability and shortfall (NHS-1 infra.energy)
  • NRS-H61 Hazard family: Cascading failure (NHS-1 sys.cascade)
  • NRS-U8 Universe platform profile: Energy Nexus
  • NRS-H48 Hazard family: Utility and communication network outage (NHS-1 infra.utilities)
  • NRS-H109 Hazard family: Energy-transition technology failures (NHS-1 tech.energy-transition)
  • NRS-H54 Hazard family: Signal and platform disruption (NHS-1 cyber.platform)

Observation

  • Global Power Plant Database (listed for reference)
  • NASA Black Marble night-time lights (VNP46) (listed for reference)
  • Ember electricity data (listed for reference)
  • ENTSO-E Transparency Platform (listed for reference)
  • EIA Open Data API (listed for reference)
  • Proportion of population with access to electricity
  • Renewable energy share in total final energy consumption
  • Number of disruptions to basic services attributed to disasters
  • Damage to critical infrastructure attributed to disasters

Example geography

  • Europe: 113 hexagonal cells
  • Surface air temperature, daytime (AIRS), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
10Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
IAEA Power Reactor Information System (PRIS)Reactor status, capacity, operating history and performance factorsFree access to public data, IAEA terms
National regulator event and inspection records (for example US NRC event notifications)Reported events, inspections and enforcementPublic records; public domain in the United States
IAEA Nuclear Events Web-based System (NEWS)Events rated on the INES scale and communicated to the publicFree access, IAEA terms
ENTSO-E unavailability of generation unitsPlanned and forced nuclear outages in EuropeFree, registration, ENTSO-E terms
NEA and IAEA uranium resources, production and demand reportsFuel supply, conversion and enrichment contextPublic reports, terms per agency
National reports under the Convention on Nuclear Safety and WENRA reference levelsNational safety reporting and harmonised safety expectationsPublic documents, terms per body
11Sector signature

The sector signature of nuclear energy and the safety interface.

The sectors nuclear energy and the safety interface touches and how strongly they depend on each other: what a study has to observe and model together.

Select corners · hover lines6 / 15 relations

Signature

Energy and its partners

Energy gives power for transport and telecoms to infrastructure (0.8), pumping and treatment to water (0.5) and fertiliser, machinery and cold chains to food (0.5).

W · E · I · F · H · B

Sectors
4 of 6
Relations
6 of 15
Coupling
0.46 share of total

Strongest relations in play

  • Energy → Infrastructure · power for transport and telecoms0.8
  • Water → Energy · cooling water and hydropower0.6
  • Water → Food · irrigation0.8
  • Infrastructure → Water · pipes, dams and treatment works0.6
Teaching values for a typical city-region, not measurements for any place. Coupling is the summed strength of the relations in play, as a share of all fifteen.
12Decisions

Who decides, and what the evidence serves.

Energy Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Independent nuclear regulatorsWhether plants may operate, extend operation or restart, and under what conditionsThe licensee’s safety case and the regulator’s own review; energy analysis supplies context only
Transmission system operatorsHow to secure off-site power to nuclear sites and plan for fleet unavailabilityGrid dependence briefs, outage records, common-mode scenarios
Energy ministriesWhat role nuclear generation plays in adequacy and decarbonisation plansAdequacy scenarios with and without fleet unavailability; fuel supply evidence

Outputs this topic produces

  • Briefs on grid dependence of nuclear sites and resilience of off-site power
  • Adequacy scenarios that include common-mode fleet unavailability
  • Heat and drought exposure summaries for river-cooled fleets
  • Plain-language guides to who holds which nuclear decision
13Methods and evidence

How nuclear energy and the safety interface is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

System model

The couplings between the systems in nuclear energy and the safety interface: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−++EnergyCritical infrastructureClimateCommunitiesEconomyR reinforcingB balancing
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
14Core questions

Questions at the interface.

  • How do grid disturbances and loss of off-site power affect nuclear plants, and how do nuclear trips affect the grid?
  • How do heat, drought and flooding affect plant availability across a fleet?
  • What does the energy system need from nuclear plants in terms of flexibility and stability, and what can they provide within safety limits?
  • How do supply chains for fuel and specialist components affect availability?
15Mechanisms

How nuclear plants and grids depend on each other.

A nuclear plant needs reliable off-site power to run safety systems even when shut down, and it keeps on-site backup generation for when that power is lost. A grid disturbance can therefore challenge plant safety systems, which is why plants are designed for loss of off-site power. In the other direction, a large unit tripping removes a large block of generation at once and is often the reference contingency that sets a grid’s reserve requirements.

Common-cause hazards such as flooding, extreme heat or earthquakes can affect several plants and the grid at the same time. Fleet-wide issues, such as a generic component defect found at one plant, can lead regulators to require inspection of similar units, reducing availability across a system.

16Methods and limits

What energy science can and cannot do here.

  1. 01

    System studies

    Grid and adequacy models, using power systems engineering, can study the system effects of nuclear availability. They use public availability data and do not model plant safety systems.

  2. 02

    Hazard exposure

    Climate and hazard data can describe exposure of sites in general terms. Site-specific safety cases belong to operators and regulators.

  3. 03

    Process safety principles

    Shared concepts such as defence in depth come from process and industrial safety engineering. Their application to nuclear installations is a regulated discipline.

17Methods

How it is studied, and what the methods cannot say.

  1. Power systems engineeringContingency and load flow studies · Frequency stability with less inertiaApplied here
  2. Process and industrial safety engineeringNatural hazards triggering accidents · Layers of protection reviewApplied here
  3. Reliability and resilience engineeringRestoration curve analysis · Fault trees for critical sites · Fragility curves for grid assetsApplied here
  4. Materials science and chemistryBattery chemistry and thermal runaway · Ageing and corrosion of grid assetsApplied here
  5. Energy generation, storage and grid technologyWeather-driven generation profiles · Storage technology comparisonApplied here
19Questions

Questions and answers.

Why does a nuclear plant need the grid?
Its safety systems need power to remove heat from the reactor even after shutdown. Off-site power from the grid is the first line of supply, backed by on-site emergency generators and batteries.
Does Energy Nexus assess reactor safety?
No. Safety assessment and licensing belong to independent national regulators applying national law and, in many countries, IAEA safety standards. Energy Nexus covers the energy system context around them.
What is common-mode unavailability?
The loss of several similar units at once from a shared cause, such as a generic defect, a regulatory inspection programme or a heat wave that limits river cooling across a fleet.
Does Energy Nexus take a position for or against nuclear power?
No. It studies how nuclear plants interact with energy systems using the same methods applied to other technologies.
Can Energy Nexus review a plant’s safety case?
No. Safety cases are reviewed by the competent national regulator.
Why does loss of off-site power matter?
Because safety systems need power even after shutdown to remove residual heat. Plants are designed with backup power for this reason.
ReportsContribute

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Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

GCRIEnergy NexusGlobal Sector Risk and ResilienceStrategic SystemsScenario and Stress-Test
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Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.

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Articles: CC BY 4.0. Figures, maps, twins and data: CC BY 4.0. Other uses: ask through the permissions form.