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Platform & Extensions

 

Improved Data Recovery and Autosave

Purpose: Reduce the risk of data loss and corrupted project files through improved crash recovery, safer file saving and a redesigned autosave mechanism, particularly for large simulation models.

Ease of use: Recoverable model versions are presented after a crash, while project files are validated before replacing an existing version. The redesigned Autosave focuses on essential model data, reducing saving time and file size.

Example: Recover the latest available model after an unexpected crash without losing a previously valid project file.

  

Localization Denmark BR18

Purpose: Support simulation workflow and compliance required by the Danish Building Regulation BR18, including thermal comfort assessment and climate-based daylight calculations. The localization provides configurations specifically adapted to Danish regulatory requirements.

Ease of use: Preconfigured Danish weather files and project templates simplify project setup and provide a ready starting point for BR18 analyses, reducing the manual work needed to prepare compliant simulation models.


Localization Sweden: Updated

Purpose: Support the latest Swedish regulatory requirements with an updated daylight factor calculation according to BFS 2024:8. Daylight performance is now evaluated at the apartment level rather than separately for each zone.

Ease of use: Aligns the daylight assessment workflow with current Swedish regulations and simplifies compliance evaluation for residential buildings by handling the apartment as the relevant assessment unit.

 

License Management System 

Purpose: Replace the previous HASP-based licensing with a more flexible system for managing licenses across different machines and sharing network licenses between multiple users.

Ease of use: Simplifies license handling, particularly for larger organizations, and improves the maintenance support workflow. Support tickets can now be created directly from IDA ICE, making it easier to contact support and provide the necessary information.

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Workflow & Productivity

 

More Details in Model Tables

Purpose: Extend model tables with additional building and system information, providing a more complete overview of key model parameters directly in the tabular view.

Ease of use: Makes model inspection and verification faster by reducing the need for additional calculations or opening individual model objects to check their properties.

Example: Review window and door U-values; distinguish external and internal windows; check zone totals and surface properties; or view VAV airflow rates directly in absolute units.

 

 

Improved Parametric Runs Interface

Purpose: Provide a clearer and more supportive interface for setting up and managing parametric simulation studies. Parameter variations and simulation runs are now more directly accessible, making the available functionality easier to understand and apply.

Ease of use: Simplifies the workflow for defining parameter variations and managing multiple simulation runs. Existing parametric capabilities can be used more intuitively, reducing the need for prior training or detailed knowledge of the previous setup process.

 

Faster Model Editing

Purpose: Improve model editing performance, particularly for large projects containing many zones or building bodies, with optimized model update routines delivering up to 70% faster editing operations.

Ease of use: Reduces waiting time when modifying zones, building bodies and other model objects, providing a smoother and more responsive editing workflow.

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Model Inspection & Results

 

Extended Sensor Logging

Purpose: Log sensor measurements directly for result diagrams. Depending on the zone model, the logged values can represent either zone averages or point measurements at the sensor position.

Ease of use: Eliminates the previous workaround of routing sensor signals through a zone controller, making sensor-based results directly accessible for analysis and visualization.

Example: Log and visualize sensor measurements for air temperature, relative humidity, absolute humidity, CO₂ concentration, illuminance and operative temperature.

 

 

Extended Output Object Logging

Purpose: Extend the range of variables that can be logged directly through output objects for simulation analysis and post-processing.

Ease of use: Makes additional simulation data directly accessible without custom logging, post-processing workarounds or Advanced-level modelling.

Example: Log from the Requested output list complete climate file data for external analysis; track window opening control signals individually for each window throughout the simulation.

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 HVAC Systems & Controls

 

Building Integrated Photovoltaics (BIPV)

Purpose: Model façade-integrated PV systems and their interaction with the building envelope, including electricity generation and thermal processes.

Ease of use: Assign BIPV directly to façade at the surfaces table using only PV efficiency and area coverage. Electrical generation and thermal behaviour are calculated automatically and integrated into the building energy balance outputs.

Example: Evaluate the energy performance of an office building with BIPV façades, including electricity production and its impact on façade temperatures and different heat transfer processes, such as radiative exchange with the sky and ground, and convective heat transfer in the ventilated air gap behind the panel.


 

New Control Components

Purpose: Extend custom control strategies with three new components: Count switch counting (off → on), Delay and Hold signal.

Ease of use: Makes common control logic easier to build directly in IDA ICE, reducing the need for more complex combinations of existing controller components.

Example: Keep a window open for a minimum period after opening, even if the triggering control signal changes.

 

WISE Water Cooling and Heating System Control

Purpose: Coordinate heating and cooling supply temperatures based on demand from multiple zones. The new WISE distribution system dynamically adjusts AHU supply temperature according to zone control signals, valve positions and defined system limits.

Ease of use: Dedicated zone and AHU controllers make coordinated system control available at the Standard level. Advanced control strategies can be implemented without building custom control logic, while maintaining stable operation within configurable temperature limits.

Example: Adjust AHU supply temperature dynamically according to heating and cooling demand across multiple rooms, avoiding unnecessary temperature offsets while responding to changing zone conditions.


Extended Zone Sensor

Purpose: Extend the Zone Sensor with access to additional control and operational signals, including setpoints, in-use status, time before use and VAV damper position. Sensor values can also be combined using Min, Max, Sum and several averaging methods.

Ease of use: More complex control strategies can now be built directly at the Standard level, with flexible aggregation of signals across multiple zones and less need to retrieve variables through Advanced-level modelling.

Example: Use the average, minimum or maximum conditions across several zones as an input for coordinated system control.


 

New, Extended Humidity Control AHU Models

Purpose: Introduce extended humidity control for air handling units, with humidification, dehumidification and cooling logic explicitly represented in the controller instead of a black-box implementation.

Ease of use: Makes humidity control strategies easier to understand, troubleshoot and debug by providing direct access to the internal control logic. Added Annotations provide additional control descriptions.

Example: Configure AHUs with evaporative humidification and cooling-based dehumidification, or steam humidification and cooling-based dehumidification.

Steam humidifier and controls:

Steam humidifier and controls:

 

Predefined Air Terminal Types

Purpose: Simplify the definition of air terminal throw characteristics for simulations with the stratified zone model by automatically assigning the throw coefficient (k-value) based on the selected terminal type.

Ease of use: Removes the need to manually define or estimate k-values, making it faster and easier to set up realistic air distribution characteristics without looking up manufacturer data.

Example: Select from predefined circular terminals ;rectangular diffusers; four-way diffusers and radial diffusers – with the appropriate k-value assigned automatically.

 

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HVAC Systems & Controls

 

Building Integrated Photovoltaics (BIPV)

Purpose: Model façade-integrated PV systems and their interaction with the building envelope, including electricity generation and thermal processes.

Ease of use: Assign BIPV directly to façade at the surfaces table using only PV efficiency and area coverage. Electrical generation and thermal behaviour are calculated automatically and integrated into the building energy balance outputs.

Example: Evaluate the energy performance of an office building with BIPV façades, including electricity production and its impact on façade temperatures and different heat transfer processes, such as radiative exchange with the sky and ground, and convective heat transfer in the ventilated air gap behind the panel.

 

New Control Components

Purpose: Extend custom control strategies with three new components: Count switch counting (off → on), Delay and Hold signal.

Ease of use: Makes common control logic easier to build directly in IDA ICE, reducing the need for more complex combinations of existing controller components.

Example: Keep a window open for a minimum period after opening, even if the triggering control signal changes.

 

WISE Water Cooling and Heating System Control

Purpose: Coordinate heating and cooling supply temperatures based on demand from multiple zones. The new WISE distribution system dynamically adjusts AHU supply temperature according to zone control signals, valve positions and defined system limits.

Ease of use: Dedicated zone and AHU controllers make coordinated system control available at the Standard level. Advanced control strategies can be implemented without building custom control logic, while maintaining stable operation within configurable temperature limits.

Example: Adjust AHU supply temperature dynamically according to heating and cooling demand across multiple rooms, avoiding unnecessary temperature offsets while responding to changing zone conditions.

 

Extended Zone Sensor

Purpose: Extend the Zone Sensor with access to additional control and operational signals, including setpoints, in-use status, time before use and VAV damper position. Sensor values can also be combined using Min, Max, Sum and several averaging methods.

Ease of use: More complex control strategies can now be built directly at the Standard level, with flexible aggregation of signals across multiple zones and less need to retrieve variables through Advanced-level modelling.

Example: Use the average, minimum or maximum conditions across several zones as an input for coordinated system control.

 

New, Extended Humidity Control AHU Models

Purpose: Introduce extended humidity control for air handling units, with humidification, dehumidification and cooling logic explicitly represented in the controller instead of a black-box implementation.

Ease of use: Makes humidity control strategies easier to understand, troubleshoot and debug by providing direct access to the internal control logic. Added Annotations provide additional control descriptions.

Example: Configure AHUs with evaporative humidification and cooling-based dehumidification, or steam humidification and cooling-based dehumidification.

Steam humidifier AHU with controls:

Evaporative AHU with controls:

 

Predefined Air Terminal Types

Purpose: Simplify the definition of air terminal throw characteristics for simulations with the stratified zone model by automatically assigning the throw coefficient (k-value) based on the selected terminal type.

Ease of use: Removes the need to manually define or estimate k-values, making it faster and easier to set up realistic air distribution characteristics without looking up manufacturer data.

Example: Select from predefined circular terminals ;rectangular diffusers; four-way diffusers and radial diffusers – with the appropriate k-value assigned automatically.

 

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