Carbon accounting can be time-consuming, especially when done manually. While Avarni simplifies this process, we know many still rely on spreadsheets. This article offers guidance, and you can also explore our comprehensive list of global emission factor databases to find the data you need in one place.
One of the most important steps when creating a carbon inventory for your client to report to a customer or regulator is to choose the most appropriate emission factor for each business activity.
The first step to choosing the right emission factor is to find a database that matches:
There are many free, reputable databases out there available for use and regularly used by large consulting firms to perform emissions inventories, such as:
For more information, refer to our article: How to choose the right emission factor database: A guide for accurate carbon inventories.
Once you have chosen the right factor database for your client’s inventory, you will need to familiarise yourself with the factors that are available for use, so that you can make the most accurate choice of which one to use for a certain activity. Here are some examples of the most common calculations you’re likely to do for clients.
EPA has a list of fuel factors such as:
Choosing the right emission factor for fuel usage is fairly straightforward – let’s say the activity you’re calculating emissions for is fuel used in an average car for business purposes, owned by the client’s business. You would choose the Motor Gasoline factor, and if your client’s activity data is in gallons, simply multiply their consumption by the factor value:
15 gal consumed x 8.78 kg CO2e per gallon = 131.7 kg CO2e
If the client’s business activity data was in litres, you would need to convert litres to gallons first before multiplying by the factor. This step is prone to error if you forget to do this conversion, so you have to be careful to check whether the client’s data is in a different unit to the emission factor.
Spend factors from the EPA EEIO database include:
Choosing the right emission factor for spend is much trickier than for fuel, since you need to not only be familiar with all the factors to pick the most appropriate one (EXIOBASE has over 100 and EPA over 1,000), but you also might not always have a 1-1 match between the business activity and an available factor.
For example, if your client has spend classified under “Lawyer Fees” on their accounting ledger, this could be matched to “All Other Legal Services” in the EPA. However, EXIOBASE does not have a factor specific to legal services, so you would need to match to something like “Other business services” instead. If your client has a worldwide supply chain and you opt to use EXIOBASE, this becomes even harder, since not every region will have the same factors available, even in the same database.
Another thing to consider when using spend based factors, is that if your database is in a different year in the past to the year of the business activity, you should apply an inflation factor to the emission factor. This is to account for the inflation that would have happened in that time.
For example, EXIOBASE factors are all from 2019 and in EUR units. If you are calculating emissions in the US using EXIOBASE factors for spend in USD that occurred in 2023, you will use the formula:
(EXIOBASE Factor x Inflation factor of EUR from 2019 to 2023) x (Spend in USD x Currency conversion rate from USD to EUR in 2023) = Total kg CO2e.
Energy factors are a little different to other types – they are often location based based on the average carbon intensity of the electricity grid in a certain region. Sometimes these regions are countries, but in larger countries such as the US, China and Australia, there are factors available for states or sub regions which are more accurate. To choose the right one, you will need to find out what is the region with the smallest area covering the location where your client consumed their energy, which is a little more time consuming for each business activity and location than other categories.
For example, let’s say your client has a facility located in Tucson, Arizona. You could then pick a postcode in Tucson, such as 85641, and use the Power Profiler from the EPA to find the corresponding grid to be AZNM (WECC Southwest).
You would then be able to pick the corresponding grid factor from the EPA:
In summary, to choose the right emission factors for each of your client’s business activities, you need to:
Avarni includes EPA, DEFRA, EXIOBASE and more databases all in one place in the same format, and enables you to upload your client’s business activity data in Excel form. It will then:
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