Nuclear power plant providing reliable low-carbon electricity for grid resilience and growing energy demand
心を動かす会話

The Nuclear Revival: Energy Security, Decarbonization and Long-Term Supply

As electricity demand rises, nuclear power is returning as a dependable source of low-carbon generation supporting stronger grids, industrial growth, and long-term energy resilience
会議のスケジューリング
ポッドキャストを聴く
-15
+15
0:00
/
0:00
Clean power means little if it cannot be delivered when economies need it most
WHY “The Nuclear Revival” CHALLENGE?
Reliability must scale across decades, not just megawatts

Utility operators invest in private networks, IoT, AI and automation but often independently. Data only creates value when it moves securely and becomes actionable. Leading organizations build ecosystems, not isolated technologies

主なメリット
The Power System Needs More Than Intermittent Progress
チェックアイコン
Power that does not wait for the weather

Dispatchable nuclear generation supports stable electricity supply when variable renewable output falls

チェックアイコン
Reduce exposure to imported fuels

Domestic low carbon generation can strengthen supply security and limit dependence on external fossil-energy markets

チェックアイコン
Take nuclear beyond the traditional grid

Modular reactor models create new possibilities for industrial clusters, smaller networks, and hard to-abate operations

チェックアイコン
Keep every asset decision grounded in evidence

Digital twins and analytics improve monitoring, maintenance planning, and visibility across the reactor lifecycle

NTTデータのサポート体制は？

01
Create a living view of nuclear assets

Digital twins connect real-time operating information with engineering models to improve fleet visibility, maintenance planning, and performance management

Nuclear plant operator using digital twin technology for real-time asset monitoring, maintenance planning and performance management.
02
Anticipate failures before they disrupt generation

Predictive analytics helps identify equipment risks earlier, improve outage preparation, and reduce exposure to unplanned downtime

Nuclear plant engineer using predictive analytics to detect equipment risks and prevent unplanned downtime
03
Bring fragmented nuclear data into one operating picture

Unified platforms connect operational, engineering, maintenance, and regulatory information to strengthen reporting and decision making

Nuclear control room using unified data platforms to improve operations, reporting and decision-making
04
Turn plant performance into a continuous discipline

Advanced analytical models reveal efficiency trends, support lifecycle extension strategies, and guide long term asset management

Nuclear plant engineer using advanced analytics to monitor performance, improve efficiency and support long-term asset management
05
Scale innovation across the value chain

Support the evolution from individual pilots to enterprise-wide platforms that accelerate excellence across generation, transmission and distribution operations

Utility engineers using digital tools to support innovation across generation, transmission and distribution operations
Nuclear power plant at dusk with utility worker, highlighting reliable generation, operational insight and energy resilience
実証済みの効果
Reliable Power, Deeper Insight

Dependable generation, deeper operational insight, and greater energy resilience are already shaping nuclear performance today

重要な結果
Operational intelligence that strengthens nuclear performance over the long term
チェックアイコン
Improve asset availability

Enhanced monitoring and predictive maintenance help reduce unplanned downtime and support more reliable generation

チェックアイコン
Extend value across the asset lifecycle

Analytical tools inform efficiency improvements and long-term strategies for plant and fleet performance

チェックアイコン
Align decisions across the nuclear ecosystem

Integrated workflows improve coordination between operators, regulators, engineering teams, and supply-chain partners.

Shape Your Digital Energy Future

Advance safer nuclear operations, faster decisions and long-term energy resilience through digital transformation →

話しましょう

NTT DATA関連の話題 
すべての講演を見る
Substation protection and automation systems using deterministic communications, precision timing and redundant fiber paths to synchronize critical grid operations, support fast protection response and strengthen power network reliability.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Deterministic Communications for OT
Deterministic communications give critical utility applications bounded, measurable network behaviour, helping protection, control and automation traffic meet strict latency and jitter requirements on modern Ethernet and IP infrastructure.
Strategic fiber infrastructure deployed across a hydroelectric facility, providing secure high-capacity connectivity for operational systems, monitoring equipment and critical utility communications to support resilient, reliable infrastructure operations.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Private Optical Networks for Utilities
A private optical network gives utilities dedicated fiber-based capacity for critical traffic, combining scalable optical transport, service separation and resilient routing with stronger control over performance, security and lifecycle planning.
Oil and gas processing plant with illuminated refinery units, pipelines and distillation towers, representing large-scale industrial energy operations and complex process infrastructure.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Edge Intelligence for Critical Infrastructure
Edge Intelligence places AI inference and advanced analytics close to substations, plants, renewable assets and field devices, helping utilities act on local events without relying on constant high-bandwidth connectivity.
Utility maintenance team using controlled lifting procedures, safety barriers and connected monitoring to reduce risk during heavy equipment handling, helping prevent incidents and support safer maintenance of critical infrastructure.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
AI-Enabled Worker Safety & Risk Prevention
AI, machine learning, Physical AI, computer vision, robotics, IoT and Edge AI can combine with authorised utility data and operating workflows to support earlier risk awareness, consistent decisions and accountable safety automation.
Acoustic monitoring system installed beside hydroelectric generating equipment, using connected sensors and sound-based condition intelligence to detect abnormal patterns early, support predictive maintenance and improve the reliability of critical utility assets.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Acoustic Intelligence for Utility Assets
Applied within connected utility workflows, acoustic intelligence can work alongside Physical AI, computer vision, robotics, IoT and Edge AI to strengthen asset context, support earlier action and preserve human oversight where risk requires it.
Utility operations center coordinating distributed energy and infrastructure assets through integrated operational data, real-time monitoring and human oversight, enabling faster decisions, cross-functional collaboration and more resilient autonomous utility operations.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Autonomous Operations Centers
Physical AI, computer vision, robotics, IoT and Edge AI work with authorized utility data and existing enterprise and OT workflows to support coordinated decisions across complex utility operations while retaining human oversight where risk requires it.
Autonomous quadruped inspection robot supporting a utility field technician at an electrical substation, combining onboard sensors, connected asset data and digital monitoring to enable earlier issue detection, safer inspections and more reliable utility operations.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Autonomous Utility Assets
Physical AI, computer vision, robotics, IoT and Edge AI combine with authorized utility data and existing workflows to help assets operate with richer context, earlier intervention and appropriate human oversight
Industrial robotic arm performing a remote intervention on critical utility piping while a human operator supervises from a protected control area, reducing worker exposure to hazardous conditions and enabling safer maintenance of high-risk infrastructure.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Physical AI for Hazardous Environment Operations
Physical AI combines computer vision, robotics, IoT, Edge AI, artificial intelligence and machine learning with authorised utility data to support earlier risk awareness, more scalable operations and governed intervention in hazardous environments.
Substation protection and automation systems using deterministic communications, precision timing and redundant fiber paths to synchronize critical grid operations, support fast protection response and strengthen power network reliability.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Deterministic Communications for OT
Deterministic communications give critical utility applications bounded, measurable network behaviour, helping protection, control and automation traffic meet strict latency and jitter requirements on modern Ethernet and IP infrastructure.
Strategic fiber infrastructure deployed across a hydroelectric facility, providing secure high-capacity connectivity for operational systems, monitoring equipment and critical utility communications to support resilient, reliable infrastructure operations.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Private Optical Networks for Utilities
A private optical network gives utilities dedicated fiber-based capacity for critical traffic, combining scalable optical transport, service separation and resilient routing with stronger control over performance, security and lifecycle planning.
Oil and gas processing plant with illuminated refinery units, pipelines and distillation towers, representing large-scale industrial energy operations and complex process infrastructure.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Edge Intelligence for Critical Infrastructure
Edge Intelligence places AI inference and advanced analytics close to substations, plants, renewable assets and field devices, helping utilities act on local events without relying on constant high-bandwidth connectivity.
Utility maintenance team using controlled lifting procedures, safety barriers and connected monitoring to reduce risk during heavy equipment handling, helping prevent incidents and support safer maintenance of critical infrastructure.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
AI-Enabled Worker Safety & Risk Prevention
AI, machine learning, Physical AI, computer vision, robotics, IoT and Edge AI can combine with authorised utility data and operating workflows to support earlier risk awareness, consistent decisions and accountable safety automation.
Acoustic monitoring system installed beside hydroelectric generating equipment, using connected sensors and sound-based condition intelligence to detect abnormal patterns early, support predictive maintenance and improve the reliability of critical utility assets.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Acoustic Intelligence for Utility Assets
Applied within connected utility workflows, acoustic intelligence can work alongside Physical AI, computer vision, robotics, IoT and Edge AI to strengthen asset context, support earlier action and preserve human oversight where risk requires it.
Utility operations center coordinating distributed energy and infrastructure assets through integrated operational data, real-time monitoring and human oversight, enabling faster decisions, cross-functional collaboration and more resilient autonomous utility operations.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Autonomous Operations Centers
Physical AI, computer vision, robotics, IoT and Edge AI work with authorized utility data and existing enterprise and OT workflows to support coordinated decisions across complex utility operations while retaining human oversight where risk requires it.
Autonomous quadruped inspection robot supporting a utility field technician at an electrical substation, combining onboard sensors, connected asset data and digital monitoring to enable earlier issue detection, safer inspections and more reliable utility operations.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Autonomous Utility Assets
Physical AI, computer vision, robotics, IoT and Edge AI combine with authorized utility data and existing workflows to help assets operate with richer context, earlier intervention and appropriate human oversight
Industrial robotic arm performing a remote intervention on critical utility piping while a human operator supervises from a protected control area, reducing worker exposure to hazardous conditions and enabling safer maintenance of high-risk infrastructure.
公益事業
発電・再生可能エネルギー
送電・配電
エネルギー供給
Physical AI for Hazardous Environment Operations
Physical AI combines computer vision, robotics, IoT, Edge AI, artificial intelligence and machine learning with authorised utility data to support earlier risk awareness, more scalable operations and governed intervention in hazardous environments.
ドラッグ