Energy
Digital Twins in Energy Generation
Through developing virtual versions of energy generation tangible assets - solar grids, wind farms, power plants - operators can simulate various scenarios in real-time and monitor performance, predict maintenance needs, and optimize asset utilization.
Wind Farms
Integration of real-time sensor data, monitoring devices, and control systems deployed on wind turbines with a digital twin provides essential contextualized insight into asset health and operations, drives predictive maintenance and enables efficient remote operations
Solar Farms
Using our digital twin platform's AI capabilities integrated with instrumented solar arrays, operators can identify opportunities to improve energy production, reduce downtime and undertake predictive maintenance to extend the lifespan of panels, maximizing investment.
Power Plant
Digital twins enable Energy generation operators to run integrated what if scenarios to assess the impact of changes in operation or external conditions, such as fuel quality variations or grid demand fluctuations.
Training
The digital twin serves as a training tool for staff, allowing them to visualize plant operations and understand the consequences of various operational decisions.
Enhance operational and maintenance efficiency and reduce downtime
Real-time Monitoring: sensors throughout the plant collect data on temperature, pressure, and operational performance of turbines, generators, and boilers.
Predictive Maintenance: the digital twin analyzes real-time data to predict when components are likely to fail, allowing for timely maintenance that minimizes unexpected outages.
Industry Use Cases
Demo - Rail Network, Rolling Stock & Stations - Nextspace digital twin platform
Rail - Rolling Stock, Network & Stations - Visual Asset Management v2
Rail - Rolling Stock, Network & Stations - Visual Asset Management v1
Companies that love what we’re doing
Companies that love what we’re doing
