Digital twins for advanced simulation

Digital twins offer unparalleled insight into real-time performance and predictive analytics. These models, enabled by advanced digital twin technology, allow organizations to forecast system behaviors, improve efficiency, and reduce risks across various industries, including power systems, automotive, aerospace, and industrial manufacturing. By creating virtual replicas of physical systems, organizations can gain deeper insights, troubleshoot issues before they arise, and explore innovative solutions to complex challenges. Digital twinning enables more dynamic, synchronized modeling that enhances simulation accuracy. With advancements in simulation technology, digital twins are poised to revolutionize how industries approach system design, operation, and optimization.

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Digital twins for <em>advanced simulation</em>

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Solution

Enabling digital twins with advanced simulation and real-time analytics

Our real-time simulation technology powers the integration of digital twins with physical systems. Utilizing advanced models, including phasor dynamics, electromagnetic transients, and machine learning, our solutions enable predictive simulations and automation. This seamless connection optimizes performance, predicts failures, and accelerates decision-making across industries, from power systems to manufacturing. By leveraging digital twin software within our simulation ecosystem, we empower engineers to gain real-time insight and control over complex systems.

HYPERSIM Digital Twin architecture diagram showing interaction between an actual power grid, SCADA system, dynamic event system, artificial intelligence, and digital twin applications for dynamic state observation, parameter tuning, and predictive simulation.

Benefits

Predict, optimize, and innovate with digital twins

Digital twin technology facilitates proactive management, predictive maintenance, and optimization, empowering companies to innovate while minimizing risks. The benefits of digital twins are vast and can be applied across various sectors to improve efficiency and drive future advancements.

01

Predictive insights

Anticipate potential failures and improve maintenance strategies through simulations that replicate real-world scenarios.

02

Real-time monitoring

Monitor performance in real-time, providing a continuous feedback loop for systems management and troubleshooting.

03

Scenario analysis

Study ‘what-if’ scenarios to explore alternative strategies and optimize operations without physical constraints.

04

Remote diagnostics

Diagnose system issues remotely, enabling swift corrective actions and reducing downtime.

Case study

An Australian digital twin revolution

The Australian Energy Market Operator (AEMO) is turning to digital twin technology to tackle the evolving challenges of its rapidly transforming grid. Leveraging HYPERSIM in a digitally twinned, cloud-based environment, AEMO can address urgent operational challenges while streamlining the connection process for new renewable energy projects.

As Australia’s grid shifts from centralized conventional generation to decentralized solar and wind, we provide essential capabilities to support the transition:

  • Compatibility with black box models: Execute precompiled, high-fidelity models from renewable plant manufacturers, regardless of the original simulation tool.
  • Scalable simulation infrastructure: Host extensive simulations on secure, scalable infrastructure—either on-premises or in the cloud.
  • Dynamic, multi-scenario analysis: Create digital twins that evolve with real-time data and run parallel “what-if” simulations to support fast, informed decision-making.

This collaborative effort is a model for how advanced simulation and digital twinning can enable reliable, future-ready energy systems.

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