Why Digital Twins Are Becoming Important for Building Operations

The construction industry has adopted Building Information Modelling (BIM) as an important approach for design, coordination, and construction planning. However, the value of digital building information does not end when construction is completed.

Building owners and facility managers increasingly need accurate information about the assets they operate, how those assets are performing, and when maintenance may be required. This is where Digital Twin technology is becoming increasingly valuable.

A Digital Twin connects a digital representation of a physical building with information generated by real-world systems, equipment, sensors, and building operations. Instead of relying only on static documentation, facility teams can use continuously updated information to understand what is happening within the building.

For Australian buildings where energy performance, maintenance efficiency, and lifecycle management are becoming increasingly important, Digital Twins can provide a more connected approach to building operations.

What Is a Digital Twin?

A Digital Twin is a dynamic digital representation of a physical asset, building, or facility that can incorporate information from real-world systems and equipment.

Unlike a traditional BIM model, which primarily represents the building’s design and asset information, a Digital Twin can connect that model with operational information collected after the building is in use.

A Digital Twin may incorporate information from:

HVAC systems
Electrical systems
Plumbing systems
Fire protection systems
Security systems
Occupancy sensors
Energy monitoring devices
Building automation systems
IoT-connected equipment

This creates a digital environment that can provide a more complete view of the building and its operational condition.

The quality of this digital environment depends heavily on the accuracy of the underlying building information. Accurate BIM models therefore remain an important foundation for developing useful digital building workflows.

From BIM to Digital Twins

The development of a Digital Twin can be viewed as an extension of the BIM lifecycle.

Design Phase

Architects, engineers, and consultants develop BIM models containing building geometry, systems, components, and project information.

Construction Phase

The models can support coordination, clash detection, construction planning, and documentation.

Handover Phase

The completed project can be represented through accurate as-built documentation and model information.

Operations Phase

Building information can then be connected with operational systems, sensors, and asset data to create a more dynamic digital representation of the facility.

This progression demonstrates why BIM should not be viewed only as a design-stage technology. Accurate digital information can continue providing value throughout the building lifecycle.

Why Accurate Building Data Matters

A Digital Twin is only as useful as the information supporting it.

If equipment locations, dimensions, system relationships, or asset information are inaccurate, the digital representation may not properly reflect the physical building. Accurate BIM models therefore remain important.

This can create problems when facility teams use the information for maintenance, renovation planning, or operational decisions.

For existing buildings, creating accurate digital information can require detailed site capture and modelling.

This can provide a reliable digital starting point for buildings where original documentation is incomplete, outdated, or inconsistent with current site conditions.

How Digital Twins Improve Building Maintenance

1. Supporting Predictive Maintenance

Traditional maintenance strategies often rely on fixed schedules or reactive repairs. Equipment is either serviced at predetermined intervals or repaired after a failure occurs.

Digital Twins can support a more proactive approach by combining building information with operational data.

Depending on the systems connected to the platform, teams can monitor information such as:

Equipment performance
Operating temperatures
Vibration
Energy consumption
Runtime hours
System anomalies

When unusual patterns are detected, maintenance teams can investigate potential problems before they develop into major equipment failures.

This can help reduce unexpected downtime and improve the overall reliability of building systems.

2. Real-Time Equipment Monitoring

Large buildings can contain hundreds or thousands of mechanical and electrical assets.

Manually checking every piece of equipment is time-consuming and may not provide a complete picture of building performance.

A Digital Twin can provide a centralized environment where facility teams can review information associated with important assets such as:

Air handling units
Chillers
Pumps
Boilers
Cooling towers
Electrical equipment

This provides greater visibility into equipment performance and can help maintenance teams identify issues more quickly.

3. Faster Troubleshooting

When an equipment problem occurs, maintenance teams need accurate information to determine what has happened and where the affected asset is located.

A connected digital building environment can provide access to:

Asset locations
Equipment specifications
Maintenance records
System relationships
Relevant documentation

This can reduce the time required to identify affected equipment and understand its relationship with other building systems.

Accurate BIM information becomes particularly valuable here because the digital representation needs to correspond closely with the physical building.

Improving Asset Management

Managing assets across a large facility can become difficult when information is distributed across spreadsheets, drawings, maintenance records, and separate databases.

A Digital Twin can bring relevant asset information together into a more connected digital environment.

Information may include:

Asset identification
Installation dates
Warranty information
Maintenance records
Equipment specifications
Replacement requirements

This can help facility managers develop more organized maintenance and lifecycle strategies.

It can also support future renovation planning because teams have a clearer understanding of existing building assets and their locations.

How Digital Twins Improve Building Operations

Energy Optimization

Energy consumption is a major consideration for building owners and facility operators.

Digital Twins can combine building information with operational data to help teams understand how systems perform under different conditions.

For example, operators may analyze:

HVAC performance
Energy consumption
Occupancy patterns
Environmental conditions
Equipment operation

This information can help identify inefficient systems or operational patterns that may be contributing to unnecessary energy consumption.

Accurate mechanical and HVAC information is particularly important when analysing building performance because these systems often represent a significant part of building operations.

A properly developed model can provide the structured building information needed to connect physical systems with the broader digital workflow.

Occupancy and Space Management

Modern buildings increasingly use occupancy sensors and connected systems to understand how spaces are being used.

Digital Twin environments can combine this information with building layouts to help operators understand:

Meeting room usage
Workspace occupancy
Traffic patterns
Facility utilization
Underused areas

This information can support better space planning and help organizations use their buildings more efficiently.

Supporting Better Decision-Making

Building owners and facility managers regularly need to make decisions about:

Equipment replacement
Maintenance budgets
Energy improvements
Renovation projects
Space utilization
Building upgrades

Without reliable information, these decisions may depend heavily on assumptions or incomplete records.

Digital Twins can provide a more connected view of building conditions by bringing together model information and operational data.

This can help teams compare options, understand potential impacts, and make decisions using a stronger information base.

Digital Twins and Existing Buildings

Digital Twin implementation can be particularly valuable for older buildings where documentation may no longer accurately represent existing conditions.

Buildings can change significantly over time through:

Renovations
HVAC upgrades
Structural modifications
Equipment replacement
Space reconfiguration
Service alterations

When existing information is outdated, a reliable digital representation may need to be developed from current site conditions.

Technologies such as laser scanning and Scan-to-BIM can help capture these conditions and convert them into structured digital information.

This creates a stronger foundation for future BIM, facility management, and Digital Twin applications.

What Comes Next for Digital Building Management?

Digital Twins are moving BIM beyond traditional design and construction workflows.

The long-term direction is toward increasingly connected buildings where information can move between:

BIM Model → Construction → As-Built Information → Sensors → Operational Data → Digital Twin → Maintenance Insights

This creates a more continuous information cycle across the building lifecycle.

For building owners, the objective is not simply to have another 3D model. The real value comes from connecting accurate building information with the data generated by the physical facility.

The second part will cover the role of IoT, applications across commercial, healthcare and industrial buildings, implementation challenges, the future of Digital Twins in Australia, and how B&S Mech Design supports digital building workflows.

The Role of IoT in Digital Twin Systems

Internet of Things (IoT) technology plays an important role in making Digital Twins dynamic rather than static.

Sensors installed throughout a building can continuously collect information from physical systems and send that information to the Digital Twin platform. This allows the digital environment to reflect changing operating conditions more closely.

Common building sensors can monitor:

Temperature
Humidity
Occupancy
Air quality
Pressure
Energy consumption
Equipment performance

The information collected by these devices can then be analysed alongside BIM and asset data.

For example, a temperature sensor may identify unusual conditions within an HVAC system. When that information is connected to accurate equipment and location data, facility teams can identify the affected asset more quickly and investigate the potential cause.

Digital Twins Across Different Building Types

Digital Twin technology can provide value across a wide range of facilities, although the priorities may differ depending on the building.

Commercial Buildings

Commercial buildings can use Digital Twins to monitor and improve:

HVAC performance
Energy consumption
Lighting systems
Occupant comfort
Space utilization

Facility managers can use operational information to identify inefficient systems and improve day-to-day building performance.

Healthcare Facilities

Hospitals and healthcare facilities depend on reliable building services and continuous operations.

Digital Twins can support:

Critical equipment monitoring
Maintenance planning
Building system visibility
Asset management
Operational coordination

Accurate information is particularly important in these environments because equipment and building systems may need to be monitored and maintained without disrupting essential operations.

Industrial Facilities

Industrial buildings often contain complex mechanical systems and extensive services.

Digital Twins can help operators understand:

Equipment performance
Asset locations
Maintenance requirements
Operational conditions
System relationships

For facilities with dense mechanical and industrial infrastructure, accurate digital models can provide valuable visibility into complex environments.

Educational Facilities

Schools, universities, and other educational buildings can use Digital Twins to support:

Energy management
Maintenance planning
Asset tracking
Space utilization
Building performance monitoring

This can help facility teams manage large campuses where multiple buildings and systems need to be maintained over long periods.

The Importance of Accurate As-Built Information

A Digital Twin needs a reliable representation of the physical building.

If the digital model does not accurately reflect the completed facility, connecting operational data to the wrong equipment, location, or system can reduce the usefulness of the Digital Twin.

This makes accurate as-built modelling an important part of the digital building lifecycle.

An accurate as-built model can provide facility teams with a structured representation of the building after construction, helping create a stronger foundation for future operations and digital transformation.

Digital Twins and Facility Management

Traditional facility management often depends on multiple sources of information.

Maintenance teams may need to search through:

Drawings
Equipment schedules
Asset registers
Maintenance records
Manufacturer documentation
Site information

A Digital Twin can help connect these different types of information within a more integrated environment.

Instead of viewing building information as separate documents, facility teams can potentially access asset information through the digital representation of the building.

This can make it easier to understand relationships between equipment, spaces, and building systems.

Challenges When Implementing Digital Twins

Although Digital Twins can provide significant benefits, implementing one successfully requires careful planning.

Accurate Initial Data

The Digital Twin needs reliable information about the physical building.

Inaccurate geometry, missing equipment information, or outdated documentation can reduce the value of the digital environment.

Data Integration

Building systems may use different platforms and technologies.

Connecting information from HVAC controls, energy systems, sensors, asset databases, and other sources requires an appropriate integration strategy.

Ongoing Data Management

A Digital Twin should remain aligned with the physical building.

When equipment is replaced, systems are modified, or spaces are renovated, the digital information may need to be updated accordingly.

Without ongoing information management, the Digital Twin can gradually become outdated.

Skills and Training

Facility teams need to understand how to use the available information effectively.

Technology alone does not guarantee better building management. Staff need appropriate processes and skills to interpret information and turn it into useful operational decisions.

How BIM Coordination Supports Digital Twin Readiness

A Digital Twin does not begin when sensors are installed. Much of the foundation is established during design and construction.

Accurate BIM models help define:

Building geometry
Equipment locations
System relationships
Asset information
Spatial coordination

When different building systems are properly coordinated during design, the resulting information can be more useful during later operational stages.

This is another reason why accurate BIM coordination should be viewed as part of the broader building information lifecycle rather than only as a construction-stage activity.

The Future of Digital Twins in Australia

Australia’s construction and property sectors are increasingly focused on improving building performance, sustainability, and lifecycle management.

As connected building technologies continue to develop, Digital Twins are likely to become more capable and more closely integrated with other digital systems.

Future applications may include:

AI-assisted maintenance recommendations
Automated fault detection
Advanced energy optimization
Real-time building performance analysis
Smart facility management
Sustainability monitoring
Integration with wider smart-city systems

The combination of BIM, IoT, automation, and AI could allow building operators to move from simply responding to problems toward identifying potential issues and opportunities before they become significant.

How B&S Mech Design Supports Digital Building Workflows

B&S Mech Design supports the digital building lifecycle by providing BIM-focused services that help create accurate and structured building information.

Its capabilities include 3D scanning, BIM modelling, Revit modelling, as-built modelling, and coordination workflows that can contribute to the digital foundation required for future building management applications.

For existing buildings, accurate site capture can help establish reliable information where traditional documentation is incomplete or outdated.

For new construction, coordinated BIM information can help ensure that building systems and assets are represented accurately before the project reaches handover.

This structured approach can support future requirements involving facility management, asset information, lifecycle planning, and Digital Twin development.

Building a More Connected Building Lifecycle

Digital Twins are changing the role of BIM information after construction is complete.

Instead of treating the BIM model as a project deliverable that becomes static after handover, building owners can increasingly use digital information as part of ongoing operations and maintenance.

The broader lifecycle can be viewed as:

Design → BIM → Coordination → Construction → As-Built Information → IoT Data → Digital Twin → Operational Insights → Maintenance

Each stage can contribute information to the next.

For building owners and facility managers, this creates an opportunity to manage assets using more accurate, connected, and accessible information.

Moving Toward Smarter Building Operations

Digital Twins have the potential to change building management from a largely reactive process into a more data-driven approach.

By connecting accurate BIM information with real-world operational data, facility teams can gain better visibility into equipment, energy use, maintenance requirements, and building performance.

The technology is particularly valuable when supported by accurate underlying information. A sophisticated Digital Twin cannot compensate for poor-quality building data.

For this reason, reliable BIM modelling, coordinated documentation, site capture, and accurate as-built information remain important foundations for future digital building operations.

As Australian buildings become increasingly connected, Digital Twins are likely to play a growing role in helping owners and operators manage their facilities more efficiently, sustainably, and proactively.

How Digital Twins Are Changing Building Operations