🔥 The fuel burned on your owned or controlled sites (e.g., natural gas, diesel) for heating, energy, or operations falls under Scope 1 emissions. Use fuel invoices, utility bills, or on-site logs to track and input your data accurately.
What is Stationary Combustion?
Stationary combustion refers to the burning of fuels, such as natural gas, diesel, or propane, to produce energy on your business premises. Examples include heating buildings, running boilers, or powering generators. These activities produce direct emissions and fall under Scope 1 of your carbon footprint.
Why is it important?
Emissions from stationary combustion reflect the direct impact of energy generation at your sites, often contributing significantly to Scope 1 emissions in food businesses. For companies with high energy demands - for example, for cooking, heating, or production processes - tracking and managing these emissions is essential.
By reporting these emissions, you uncover opportunities to improve energy efficiency, reduce costs, and cut emissions over time.
What Data Do You Need to Provide?
You’ll need to report all of your company's stationary combustion emissions in order to complete a CCF report.
For each site, gather the following data:
Fuel type (e.g. natural gas, diesel, propane)
Quantity used (e.g. litres, kilograms, or cubic meters)
Time period the data covers (e.g. monthly, quarterly, or annually)
How to Source This Data:
You can find the required data in:
Fuel purchase invoices: for details on the type and quantity of fuel purchased.
Utility bills: for usage data tied to stationary equipment.
On-site logs: if you maintain records of fuel usage or meter readings at your facilities.
Ensure the data covers your entire reporting year, as incomplete data could lead to inaccuracies in your emissions profile.
Best Practices for Data Input:
Make a list: list out all the fuels used in your premises, to ensure completeness.
Double-check fuel types: ensure fuel type matches what is listed on your invoices or utility bills.
Standardise units: use consistent units, such as kilograms or litres, to avoid errors, still making sure that nuanced units are taken into consideration (like KWh net and gross CV).
Break data into periods: for larger datasets, input data in smaller chunks (e.g., monthly) to make reviews and edits easier.