Estimating power consumption early is vital for battery‑powered Matter over Thread products. Before you hook up hardware and the Power Profiler Kit II, Nordic’s Online Power Profiler (OPP) for Matter over Thread lets you explore design choices in the browser and immediately see their impact on current draw and total charge. It models consumption using data measured on Nordic SoCs, so you can evaluate polling, ICD timing, and reporting patterns without setting up a test bench.
This topic explains what the OPP does, why it’s useful, how the interface is organized, and walks through a practical step‑by‑step example you can adapt to your device.
What the Online Power Profiler does
The OPP simulates average current and charge consumption for a Matter‑over‑Thread device based on SoC, voltage, operating time, and ICD‑related behavior. It reports total consumed charge, average current, sleep current, average poll charge, and renders a current‑over‑time graph so you can reason about trade‑offs between responsiveness and battery life. Results are estimates, not measurements, but the model typically lands within ~5% of measurements for reference devices, with normal unit‑to‑unit variation expected.
Why use the Online Power Profiler?
Early in development, many power decisions are still fluid, such as polling intervals, reporting cadence, and whether a product should be SIT or LIT. With the OPP, you adjust these parameters and immediately see the effect on average current and total charge, which makes it well‑suited to the architecture phase when you’re shaping device behavior. It also provides quick battery‑lifetime estimates (for example, CR2032 vs AAA) by combining average current with a simulation window, helping you validate whether a design meets its target lifetime before you run lab measurements. Finally, because the tool includes Nordic SoCs across the nRF52, nRF53 and nRF54 Series, it’s straightforward to compare sleep current and polling costs under identical conditions to inform hardware selection.
How the Online Power Profiler works
The interface is organized into panels that map closely to how a Matter ICD behaves. Adjust a setting, and the results panel updates in real time.
General settings
Choose the chip, voltage, and operating time for the simulation. These inputs define the electrical baseline and the time horizon over which the tool aggregates charge and averages current.
Matter ICD settings
Configure communication behavior that drives the duty cycle:
Operating mode (SIT or LIT)
Slow polling and fast polling intervals
Idle mode duration, active mode duration, active mode threshold
These parameters mirror the ICD concepts from Intermittently Connected Devices (ICD) and let you simulate SIT or LIT profiles by changing only a few values.
Results and visualizations
As you tune parameters, the results show:
Total consumed charge over the operating time
Average current consumption and sleep current
Average data‑poll charge
A current‑over‑time graph highlighting polls, reports, and sleep regions
Together, these results give you a clear picture of how your chosen settings influence the device’s duty cycle and overall energy profile, making it easier to evaluate and refine low‑power configurations.
Import/Export settings
Use Export to save a configuration and Import to reload or share it with teammates, which is handy when evaluating variants or recording baselines before firmware changes.
Step-by-step example: estimating power for an LIT sensor
This example shows how to estimate the power consumption of a typical Long Idle Time (LIT) Matter sensor, such as a smoke or environmental sensor.
1. Open the Online Power Profiler
Go to the Online Power Profiler for Matter over Thread: https://devzone.nordicsemi.com/power/w/opp/16/online-power-profiler-for-matter-over-thread
2. Choose the SoC and Voltage
For example:
Chip: nRF54L15
Voltage: 3.0 V
General settings with nRF54L15 and 3.0 V
3. Configure ICD Behavior
Set behavior typical for a LIT sensor:
Slow Polling Interval: 900 seconds
Fast Polling Interval: 200 ms
Active Mode Duration: 300 ms
Idle Mode Duration: 900 seconds
Active Mode Threshold: 5 seconds
These parameters reflect LIT behavior, in which the device sleeps most of the time and only wakes to report.
ICD settings populated with LIT configuration values
4. Set the operating time
Use 60 min for a quick comparison, or 24 h to mimic a day in the field. The average current will remain representative for longer horizons
5. Review the results
Review the total consumed charge, average current, and the current graph. If the average current is above your target, adjust parameters such as increasing the Slow Polling Interval, shortening Active Mode Duration or Active Mode Threshold, or increasing Idle Mode Duration, then rerun the simulation to see the impact.
OPP results for the configured LIT example
Understanding the visualization
The current‑over‑time graph uses color to distinguish device behavior:
Green spikes represent idle mode polls.
Blue spikes represent active mode behavior, such as reports, fast polls, or command processing.
Below is an example of an SIT configuration, where both green and blue spikes appear clearly:
OPP for an SIT
In many LIT configurations, idle mode activity dominates the graph, and you typically see mostly green with only occasional blue spikes. In the LIT example shown earlier, the slow polling interval matches the idle mode duration, so the two overlap completely, which is why the graph shows mainly the blue active‑mode events.
You can also hover over any spike to see a tooltip that describes:
the event type (for example, Data Poll, Status Response, Standalone Ack, or Sleep)
the current level
the event duration
the estimated charge consumed
Here are some examples of the hover tooltips:
These details will help you understand why specific events contribute more or less to the average current and total charge.
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•Matter over Thread support for nRF54LM20A and nRF54LM20B SoCs. •Matter over Wi-Fi® support for nRF54LM20A combined with the nRF7002-EB II shield. •Released the Matter Cluster Editor app v1.0.1 and Matter Quick Start app v1.1.0.
MCUboot & Partition Manager
•Single-Slot DFU and RAM Load mode are both promoted to fully supported •Partition Manager is officially deprecated in favor of Zephyr's devicetree-based partitioning.
