Showcase: Digital twins in the energy sector

The energy sector is leading digital twin adoption. Innovators in the sector have already accumulated years of best practices, and consider real-time 3D technology for creating digital twins key to digital transformation programs.

Reduced production downtime and higher return on investment (ROI) are some of the benefits that can result from digital twin deployment, particularly through:

  • Simulating what-if scenarios at higher or lower speeds for individual assets
  • Harnessing Internet of Things (IoT) sensor data to monitor variables like energy consumption, overall system throughput, and proactive maintenance requirements

Digital twins are suitable for multiple use cases. This three-phase model describes the categories and level of complexity required in each case.

The maturity model describes the different levels of complexity that a digital twin fulfills.

Explore digital twin solutions in each of these categories from across the energy sector.

Phase 1: Ingest, Transform & View

Definition: A physically accurate realistic digital representation of an asset, facility, or product that emulates its real-world counterpart and enables cross-functional collaboration. At this phase, complex data (like BIM, CAD, or GIS) is consolidated into a single visualization environment.

> Adaptive mission planning using a digital twin

Learn more about simulation for industry.

Key use: Advanced teleoperations with live 3D visualization

Description
Discover how Unity’s real-time 3D technology enables immersive virtual interfaces to industry-standard robotics equipment. Through deployment of industrial robotics, it’s possible to process depth sensor data from multiple sources to provide a high-fidelity digital twin of a site. From that, you can create a virtual environment that enables operators to view and collaborate on a worksite from any vantage point.

Outcomes

  • Reduces costs of placing staff onsite by enabling remote collaboration
  • Enables recreation of complex sites from a single depth sensor data source

> Robotics training for materials packaging

A digital twin enables this company to deploy equipment faster.

Key use: Robotics training

Description
In this scenario, a fuel production company uses digital twin technology to apply machine learning to a robotic arm used in fuel container processing. They utilize an accurate replica of the robotic arm in its production environment (a digital twin) to simulate the process of its real-life counterpart.

Outcomes

  • Allows for review and refinement of the robotic arm prior to deployment
  • Minimizes potential downtime and delays in initiating new equipment

> Solar construction sequencing and monitoring

Read the Zutari case study.

Key use: Optimize site efficiency

Description
This engineering and advisory company uses Unity’s real-time 3D technology to plan large-scale solar photovoltaic (PV) projects. The digital twin of the proposed site includes the terrain, location, and solar tracking. Using the digital twin, engineers can quickly review the impact of design decisions under any possible condition during an operational year. The digital twin is updated throughout site construction with drone data, enabling the engineers to monitor and make adjustments during construction to ensure optimal performance.

Outcomes

  • Reduces the time required to develop design-level insights
  • Decreases costs by enabling an efficient decision making process
  • Allows for multiple design review and optimization iterations

Phase 1 digital twins: Additional resources

Explore these handy guides to getting started:

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Phase 2: Connected Twin with Insights

Definition: Integrates real-time and right-time data to provide insights into the performance of an asset at specific points in time.

> Remote site operational twin

View an operations demo.

Key use: Remote maintenance

Description
In the case of this oilfield services company, a digital twin is used for remote site monitoring and maintenance. The digital twin is of a remote wellhead operations site in an area that is not easily accessible. However, using real-time data integrated into the digital twin, operators can view and act on maintenance alerts, and access supporting data like historical site data, charts, and documentation.

Outcome

  • Facilitates cost savings by minimizing the need for employee deployment and travel expenses

> Virtual reality turbine monitoring with live data feed

Learn more about wind farm digital twins.

Key use: Asset monitoring and data review

Description
This energy infrastructure company uses a 3D virtual and immersive digital twin of a wind farm, showing relationships between the topography, turbine layout, and data streams. Multiple data types from various sources are consolidated and incorporated into the digital twin for easy reference. The virtual reality environment enables the operator to explore the site, investigate assets, view all the data, and receive additional information in pop-up windows. Live telemetry data from the windmills is used to drive real-time wind turbine operational data.

Outcomes

  • Enables more efficient decision making with a real-time data feed
  • Improves performance analysis due to data consolidation on one platform

> Real-time payload distribution tracking for heavy machinery fleets

Real-time payload data improves efficiency.

Key use: Immersive training

Description
Created by an integrated energy company, this digital twin provides an immersive training solution for shovel operators. In this training environment, mine shovel operators receive real-time actionable information to improve efficiency. The digital twin can receive data from a live feed and align with an onsite video feed to provide additional real-time feedback. This environment enables new shovel operators to achieve the required skill level more quickly than traditional methods.

Outcomes

  • Improves efficiency per shovel load with real-time feedback
  • Shortens onboarding period for new shovel operators

Phase 2 digital twins: Additional resources

Explore these handy guides to getting started:

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Phase 3: Simulate, Optimize & Automate

Definition: Leverages advanced modeling and real-time simulation to predict issues and run potential future scenarios, as well as prescriptive analytics and recommendations.

> Driving efficiency across a complex infrastructure site

Complex digital twins integrate and analyze multiple data sources.

Key use: Operational efficiency

Description
The Open Digital Platform (ODP) was created by JTC Corporation, Singapore’s leading government agency responsible for planning, building, and operating industrial areas. The platform collects data from a range of sensors, capturing metrics like temperature, weather conditions, power consumption, and building occupancy. The digital twin integrates and monitors multiple data sources to drive operational efficiency. Using ODP, operators can accurately predict energy demand and supply in the area, enabling them to efficiently make decisions about how, where, and when to adjust power supply in order to meet demand.

Outcome

  • Facilitates projected cooling system savings of 30%

Phase 3 digital twins: Additional resources

Explore these handy guides to getting started:

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Explore tools for the energy sector

Accelerate your energy transition program with Unity Industry, a suite of creation tools and enterprise-level support for building immersive and connected digital twins.

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