Perspectives on carbon-aware electricity consumption

Running the same workload in two different cloud regions can produce different Scope 2 emissions, even at the same hour. The electricity grid is not homogeneous: carbon intensity varies by location and by time, and national averages erase exactly the precision that location-based accounting requires. This article explains the mechanism and introduces Cloud Carbon Intensity by Nodera, datacenter-level hourly carbon intensity data, available as historical series and forecasts, for developers and GreenOps teams making region selection and workload scheduling decisions.

National carbon intensity figures are widely used in Scope 2 reporting — but they describe an average that does not exist anywhere on the actual grid. This article explains why electricity carbon intensity varies by location, how grid topology and local generation mix drive those differences, and what it means for organizations that want their emissions data to reflect the electricity they actually consume.

Scope 2 emissions are traditionally calculated using annual electricity consumption and average emission factors. As electricity systems become more variable, hourly Scope 2 accounting introduces time-dependent carbon intensity, attributing emissions based on when electricity is consumed and reflecting how grid conditions vary across hours in a given region.

A carbon intensity signal quantifies the emissions associated with producing electricity at a given time and location. This article explains how it is calculated from generation data and emission factors, why time and geographic resolution matter, and how evolving power systems make granularity increasingly relevant.

Scope 2 carbon accounting quantifies the emissions associated with purchased electricity, linking an organization’s energy use to the characteristics of the power systems that supply it, and increasingly reflecting when and where electricity is consumed rather than only how much.

Beyond a technical update, the Scope 2 reform reflects a deeper shift: as power systems become more local and variable, when and where electricity is consumed increasingly shapes emissions, making electricity demand an operational lever for decarbonization.