Download the emission factors used in your carbon footprint

Customers can now export, by email, an Excel file listing every emission factor used within a chosen date range, making it easier to respond to verification and audit requests.

Export your emission factors in one click

Verifiers and auditors regularly ask which emission factors were used to calculate a carbon footprint. Now you can select a date range and request a download: Dcycle sends an email with an Excel file containing all the emission factor information used in that period.

Built for audit and verification readiness

This export complements the new GHG Report, giving your team a clear, shareable record of the data behind your numbers. Coverage for purchases, waste, and waste water treatment is not yet included and will expand over time.

Demo di 30 minuti

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Ti mostriamo come funziona con un esempio simile al tuo.

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Altre novità: Impronta di carbonio

Vedi Impronta di carbonio →
  1. 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.
  2. 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.
  3. 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.
Demo di 30 minuti

Guardalo con i tuoi dati.

Trenta minuti con il nostro team. Ti mostriamo come entrerebbero i tuoi dati e cosa ne usciresti.

Richiedi una demo
  • Senza impegno
  • Con i tuoi dati
  • Nella tua lingua

Come sarà la tua sessione

  1. 01 Ci racconti cosa ti chiedonoClienti, auditor o banche: quali dati e per quando. 0–5 min
  2. 02 Vediamo come entrerebbero i tuoi datiFatture, ERP, fornitori: con un esempio simile al tuo. 5–20 min
  3. 03 Ti porti a casa il pianoCosa automatizzare per primo e quanto tempo risparmi. 20–30 min
Con una persona del team che poi ti accompagna