Changelog - Documentation

Feature

23 hours ago

Custom Interventions, CRREM Science-Based Targets, and improved Characterization Chart

We’re excited to introduce two powerful features that make decarbonization planning even more actionable and tailored to your buildings: Custom Interventions and CRREM Science-Based Targets. We have also made visual improvements to the Characterization Chart.

Custom Interventions

You can now add or remove bespoke decarbonization measures to better reflect the building types and retrofit options most relevant to your portfolio. Whether you’re modeling external insulation for a concrete mid-rise, testing occupancy sensors across retail sites, or excluding envelope upgrades for a logistics facility, this feature gives you precise control over what’s included in each scenario.

The Custom Interventions feature lets you shape the analysis around the interventions that actually apply to your buildings, helping you prioritize actions with more realistic projections.

CRREM Science-Based Targets

We’ve added a new layer of insight to the Building Details page: you can now visualize CRREM science-based decarbonization targets directly on the Decarbonization over Time chart.

This science-based target line is automatically selected based on your building type and location, making it easy to benchmark your building’s energy use and carbon performance against market expectations. It also allows you to assess how modeled interventions influence your path toward alignment with global decarbonization goals.

Improved Characterization Chart

The Characterization Chart now includes a visual representation of uncertainty for each possible value of every model parameter. This gives you clearer visibility into which model parameters are well-constrained, and which have more variability. Whether you are scrutinizing infiltration rates or equipment power density, this feature helps you interpret model behavior with greater confidence and precision.

Feature

29 days ago

Model Refinement and Time-Based Emission Factors

This release introduces 2 new features: Model Refinement and Time-Based Emission Factors.

Model Refinement

Model Refinement gives you more control over how your building’s energy model works by letting you manually enter details you already know about the building.

For example, you can specify the type of heating or cooling system, describe the current performance of the building’s lighting system, or—if your building is sub-metered—indicate what percentage of energy is used for cooling. These inputs help the energy model reflect real-world conditions, resulting in more accurate and actionable energy and carbon analysis.

Time-Based Emission Factors

Time-based emissions factors are used to model how carbon emissions from building energy use change over time. They account for projected shifts in the energy supply, such as the decarbonization of the electricity grid, which means the same amount of energy use can result in different emissions over time.

By incorporating emissions data from trusted sources like Our World in Data (OWID), CRREM, and NREL Cambium, this feature allows you to see the impact of changing carbon emissions in your building or portfolio, even if no interventions are applied. It supports more informed planning by highlighting how future emissions trajectories affect building performance and long-term decarbonization goals.

Feature

1 month ago

Portfolio Overview

This release introduces a brand new feature: Portfolio Overview.

Portfolio Overview makes it easy to understand trends across your entire building portfolio, helping you quickly identify where to focus your decarbonization efforts. With this release, two widgets are immediately available:

Building Performance: Visualize and compare buildings in your portfolio using metrics like Energy Use Intensity (EUI) or absolute emissions. This widget helps surface buildings that may require attention, especially in jurisdictions with regulations such as New York’s Local Law 97.

Top Interventions: See which decarbonization interventions have the biggest impact across your portfolio. Interventions can be ranked by metrics like total emissions reduction or emissions reduced per dollar invested, helping you identify the most cost-effective opportunities to prioritize.

To curate the view, you can use our advanced filtering capabilities to segment your portfolio and uncover targeted insights. For example, you can highlight buildings above a certain size in a specific region or isolate those subject to reporting requirements based on annual emissions thresholds. These filters help you get the most value out of your Portfolio Overview by focusing your analysis where it matters most.

Improvement

2 months ago

Advanced Filtering and Multiple Building Export

This release includes major enhancements to building filtering and export capabilities, giving users greater flexibility in portfolio analysis and decarbonization planning.

Advanced Filtering Enhancements

You can now filter your building dataset with powerful logic-based combinations, enabling faster insights and streamlined workflows. Using AND/OR logic, you can filter your buildings with multiple criteria simultaneously, including emissions and energy use intensity.

Whether you’re preparing your buildings for regulatory requirements or aligning with carbon reduction targets, advanced filtering provides the ability to segment, prioritize, and compare buildings across your portfolio.

Multiple Building Export

You can now export year-over-year utility data for multiple buildings at once, aligned with the Decarbonization Over Time timeline.

This enhanced export can simplify portfolio-wide reporting and planning, and allow for seamless integration with your internal tools.

Feature

Improvement

2 months ago

Decarbonization Over Time, and Speedy Model Improvements

This release includes major speed enhancements and introduces an entirely new feature: Decarbonization Over Time.

First, we’ve significantly improved the calibration process, reducing the model creation time to under one minute. These performance gains enable a seamless experience with the new Decarbonization Over Time feature, which supports long-term planning by aligning retrofit interventions with optimal implementation timelines.

This will allow users to create more accurate and strategic capital budgets. Over time, we’ll be adding support for more detailed financial analysis as we continue to develop the Decarbonization Over Time feature.

3 months ago

Big Model Improvements

This release incorporates significant improvements to Carbon Signal’s analysis engine that rapidly improves the speed at which models are created. What once took around 5 minutes, the improvements will now allow for models to be created in 1 to 2 minutes!

These analysis engine changes will improve the current user experience and also unlock the full potential of future features.

On the main Buildings page, the interventions table has been visually updated to make it easier to compare interventions and identify those with the greatest impact.

Improvement

Feature

3 months ago

Redesign and More

This release represents a large redesign with many new and enhanced features. We’ve introduced an entirely new site architecture designed to make it easier to organize your data and review analysis results and incorporated speed enhancements that make it faster to build and edit models.

The site architecture redesign includes a new Buildings page, now with a map view of your data and enhanced functionality related to assigning and editing building tags.

We’ve also given the building details its own page so that you can see both baseline information and the impact of interventions in the same view.

We’ve also added a feature where, after uploading your buildings, you can see a draft analysis in less time. This allows you to review the baseline building data before finalizing the model and simulating the interventions. Once the model has been finalized, you can see the full analysis for the building, including the impact of applied interventions.

In addition, we’ve created a new framework for permissions, providing more granular control over who can view and edit individual buildings. There is a new Team role - Guests, who are only allowed to view specific buildings in your portfolio. Access privileges for Guests are controlled at the individual building level.

Finally, we incorporated some cosmetic upgrades, including a new dark mode, to give you more control over how you view your data.

Improvement

8 months ago

Model Improvements

This release incorporates improvements to Carbon Signal’s analysis engine that increase diversity in the model ensemble - variations in characteristics that describe a building’s existing conditions. These changes will help capture uncertainty in our projections and improve the quality of our analytics.

Feature

Improvement

9 months ago

CRREM Integration, Data Gap Filling, and Performance Improvements

The Carbon Risk Real Estate Monitor (CRREM) is an initiative to help building owners align their decarbonization plans with science-based emissions targets. Starting with this release, customers will be able to build decarbonization scenarios in Carbon Signal and export the information in CRREM’s Carbon Risk Assessment Tool.

We’ve also made a number of significant improvements to Carbon Signal’s modeling capabilities, with customers now able to automatically fill gaps in their utility data. This feature will be enabled for all new models - older models will require a recalibration.

Lastly, customers should now experience much faster loading times for model results and scenarios, especially for large portfolios.

Feature

Fix

10 months ago

Data Validation, Activity Tracking, and Model Cancellation

In this release, we enhanced the experience of uploading data with the spreadsheet template, by adding more data validation within the spreadsheet to prevent input errors and an additional validation step after uploading the spreadsheet. This data validation step will alert users if there are any buildings with missing information, inaccurate information, or building names that match existing records in the Portfolio.

Also, users now have the ability to track their usage of compute resources. In Team Settings, the Credit Usage graph displays how many credits the team has consumed over the last 12 months, 30 days, or 7 days.

Finally, we added the ability to cancel models. If you’ve made a mistake editing data, or uploading the wrong information, you can now cancel the model to prevent unwanted credit usage and to make it easier to recover from mistakes. We also fixed several bugs related to calculating the median from a probability distribution when measuring energy and carbon savings from each intervention. This will help improve the accuracy and reliability of our predictions.

Fix

11 months ago

Improved Stability

We fixed a number of bugs to improve the stability of the application and made it easier for users to see the progress of model simulations. Specific enhancements include:

Added Pusher so that users see progress bars on the Building Data and Scenarios pages as models are simulated.

Changed how savings are displayed when an intervention results in an increase in energy use or emissions. We now show zero savings instead of negative values.

Fixed issues with the Building Data table, improving the way pagination works and adding the ability to sort and filter by different metrics.

Automatically send SSO login details to users when SSO is enabled for their accounts.

Feature

Fix

1 year ago

New Admin Capabilities

We’ve streamlined the way permissions are handled on Carbon Signal at the Team and Portfolio levels. At the Team level, there are three types of permissions (Owner, Admin, and Member) that control which users have access to Team administrative functions. The Portfolio level permissions offer more specific control over which users have access to certain Portfolios.

This release also contains a number of important bug fixes including:

Fixed bugs that were blocking the ability to edit energy data from within the application.

Added axis labels on all graphs and tooltips on terms that require explanation.

Incorporated copy to explain Performance Characterization, Scenarios, and Model Results.

Connected the application to a stable version (v2.0.0) of the engine.

Feature

3 years ago

Initial Release

We’re officially live after migrating all of our test accounts over to the production environment.