Enter historical Scope 2 emissions with the location based method

You can now log historical Scope 2 emissions using the location-based method, split into electricity and heat, steam and cooling, so your past data is as detailed as your current reporting.

What’s new

You can now enter historical Scope 2 emissions using the location-based method. The input form now separates this data into two categories:

  • Scope 2 (location-based) electricity
  • Scope 2 (location-based) heat, steam and cooling

This mirrors how location-based data is already structured for current reporting periods, so historical records follow the same level of detail.

Where it shows up

Once entered, historical location-based data flows automatically into your location-based dashboards, pivot tables and GHG reports, exactly like the rest of your location-based emissions. Your market-based totals are not affected by this change.

30-minute demo

See it with your data

We show you how this works on an example close to yours.

Request a demo

More updates in Carbon Footprint

See Carbon Footprint →
  1. See the data quality behind your purchases emissions Understand how much of your purchases emissions are based on real data versus estimates, so you know exactly where to improve your carbon footprint.
  2. District heat, steam and cooling get their own emissions category See heat, steam and cooling emissions calculated separately from electricity, with dedicated emission factors and Scope 2 and Scope 3 (category 3) accounting for more precise results.
  3. Download scope 1, 2 and 3 data in a single file Clients can now export all of their scope 1, 2 and 3 carbon footprint data in one Excel or CSV file instead of pulling separate exports per scope.
30-minute demo

See it with your own data.

Thirty minutes with our team. We show you how your data would come in, and what you would get out.

See Dcycle in action
  • No commitment
  • With your data
  • In your language

What your session looks like

  1. 01 You tell us what you’re being asked forCustomers, auditors or banks: what data and by when. 0–5 min
  2. 02 We show how your data comes inInvoices, ERP, suppliers: on an example close to yours. 5–20 min
  3. 03 You leave with a planWhat to automate first and how much time you save. 20–30 min
With someone from the team who then supports you