Energy Usage, Power Consumption, and Carbon Footprint Insights

This module shows how we can access and analyze power consumption, energy usage, and carbon footprint emissions in Dell AIOps. By following the steps, users can view total carbon emissions and energy usage for all systems, as well as historical trends and forecasts for individual systems. This information can be valuable for individuals or organizations looking to monitor and manage their environmental impact and meet sustainability goals.

Sustainability has become a key topic in data center infrastructure considerations as many companies strive to reach new environmental goals. In this lesson, we will see power consumption, energy usage, and carbon footprint emissions in Dell AIOps. Dell AIOps provides this information for the total environment as well as for individual systems.

To access the Carbon Footprint page in AIOps Observability, click **"Monitor"**

Click **"Carbon Footprint"**

The products that are supported for this feature are: Connectrix, Dell Unity, PowerEdge, PowerMax, PowerScale, PowerStore, PowerSwitch, and VxRail.

We are now at the **Carbon Footprint** page. The top banner provides the total **carbon emissions** and **energy usage** for all systems. Carbon emissions calculations are based on location specific emissions factors provided by the International Energy Agency (IEA) and industry average Power Utilization Effectiveness (PUE) values.

Tip! Administrators can override the default CO2e factors and PUE values with their location's unique emission factors.

The **Total Carbon Emissions** chart provides a 12-month trend of carbon emissions. You can display the chart as a bar chart or a line chart. Click this **icon** to switch to a line chart.

Click **"Lines"**

The bottom of the page provides a table of each individual system showing the location, YTD energy usage, energy forecast, YTD carbon emissions, carbon emissions forecast, daily power consumption, and used capacity. Custom tags are also available to help filter the table. Let's filter on the **"Location"** custom tag. Click the **Filter** icon.

Click the **"Key"** field.

Click **"Location"**.

Click the **"Value"** field.

Click **"Building-30"**.

Click **"ADD"** to apply the filter.

We've now filtered the table to those systems in **Building-30**. Click the **Details** icon to see historical trends and forecasts for an individual system.

Scroll down to see the last 7 days for both **Energy Consumption** and **CO2e**. We also see the expected range of each of these metrics which is shown as the gray shaded area. This allows us to see any unexpected anomalies or changes in patterns.

Click **"Forecast"**

Scroll down to see the forecast charts for system energy consumption and system carbon emissions as well as a confidence range based on statistical analysis of past performance.

Congratulations! You have reached the end of this particular lesson. Click **Close** in the top left corner of this script to return to the demo guide.

Energy Usage, Power Consumption, and Carbon Footprint Insights

To access the Carbon Footprint page in AIOps Observability, click **"Monitor"**

Click **"Carbon Footprint"**

The products that are supported for this feature are: Connectrix, Dell Unity, PowerEdge, PowerMax, PowerScale, PowerStore, PowerSwitch, and VxRail.

Tip! Administrators can override the default CO2e factors and PUE values with their location's unique emission factors.

The **Total Carbon Emissions** chart provides a 12-month trend of carbon emissions. You can display the chart as a bar chart or a line chart. Click this **icon** to switch to a line chart.

Click **"Lines"**

Click the **"Key"** field.

Click **"Location"**.

Click the **"Value"** field.

Click **"Building-30"**.

Click **"ADD"** to apply the filter.

We've now filtered the table to those systems in **Building-30**. Click the **Details** icon to see historical trends and forecasts for an individual system.

Click **"Forecast"**

Scroll down to see the forecast charts for system energy consumption and system carbon emissions as well as a confidence range based on statistical analysis of past performance.

Congratulations! You have reached the end of this particular lesson. Click **Close** in the top left corner of this script to return to the demo guide.