Modern buildings generate enormous amounts of data every second. Temperatures fluctuate, systems start and stop, energy flows change — and most of this information disappears the moment it’s displayed on a screen. Without a way to capture and analyze this data over time, building managers miss critical insights into energy efficiency, system performance, and sustainability metrics that are essential for ESG reporting and operational optimization.
THMI’s Data Replay feature was built to change that.
It turns raw operational data into a clear, replayable story of what actually happened inside a building — and why it matters for performance, sustainability, and ESG reporting. By capturing detailed, time-stamped operational data, Data Replay provides the evidence needed to track energy efficiency, verify emissions reductions, and support transparent ESG compliance under EU regulations and the EU Taxonomy.
What Users Can Do with Data Replay
Data Replay allows users to rewind time (cool, right?) and see how a system behaved at any chosen moment — minutes, days, or months ago. With Data Replay, users can:
- Replay system behavior exactly as it occurred
- Visualize changes in temperatures, setpoints, energy use, and system states
- Analyze cause-and-effect relationships (what changed, when, and why)
- Investigate incidents, inefficiencies, or complaints with factual data
- Compare performance before and after optimizations or upgrades
Instead of relying on assumptions or static reports, users can see the operational reality unfold step by step.
Why This Matters for ESG Reporting
THMI’s Data Replay makes this possible by capturing detailed, time-stamped operational data, allowing organizations to review exactly what happened, when, and why and turning raw building data into verified, ESG-ready insights. With support for 9+ years of historical data, organizations can analyze long-term trends, demonstrate compliance with industry and regulatory requirements, and uncover optimization opportunities that drive both efficiency and sustainability. Data Replay supports ESG goals by:
- Providing documented proof of energy performance over time
- Enabling transparent reporting of efficiency improvements
- Supporting carbon reduction initiatives with measurable evidence
- Making it easier to verify operational changes linked to sustainability goals
The EU ESG regulations require companies to measure and report how their activities impact the environment, society, and governance. Key rules include the Corporate Sustainability Reporting Directive (CSRD), which obliges large companies to provide standardized and auditable sustainability reports, and the Sustainable Finance Disclosure Regulation (SFDR) for financial institutions to show how investments consider ESG risks. The EU Taxonomy complements these rules by defining which economic activities are truly environmentally sustainable, helping businesses and investors make transparent, climate-conscious decisions.
Rather than reporting estimates or averages, organizations can demonstrate:
“This is how the system operated. This is what changed. This is the measurable impact.” This level of transparency not only supports accurate ESG reporting but also helps identify inefficiencies, optimize energy use, and track progress toward sustainability goals. It strengthens ESG credibility for investors, regulators, asset owners, and sustainability auditors.
How the Data Works
Data Replay is powerful because the data behind it is simple and structured. Here’s how it works:
1. Data Collection
THMI continuously collects operational data from building systems such as:
- HVAC units
- Sensors
- Controllers
- Energy meters
2. Data Storage
- All collected data is stored securely and time-stamped.
- Data accessible both on the edge and Cloud.
3. Data Usage
When users activate Data Replay:
- THMI reconstructs the system state for a selected moment in time
- Visual interfaces update to reflect real historical conditions
- Users can move forward or backward in time to analyze behavior
The same data supports:
- Operational analysis
- Performance optimization
- ESG documentation
- Long-term trend analysis
One dataset. Multiple business and sustainability outcomes.
