Managing Source Data

You have already seen how to calculate the Greenhouse Gas (GHG) scope1, scope 2, and scope 3.3 emissions with energy flow model. The focus of this training is on calculating GHG scope 3.1 emissions using purchased product footprints.

In this lesson, you'll learn to set up source data related to purchased goods and services using average data and spend-based method, which is a specialized calculation approach to calculate footprint for purchased products.

You understand that to begin the process of calculating GHG emissions for each scope, you first import the necessary master data to define the organizational boundaries of the companies and plants involved. When calculating GHG scope 3.1 emissions for purchased product footprints, you also import transactional data such as goods receipt from suppliers indicating product group, product, custom unit of measure, and currencies.

Next, define the footprint inventory scope to set the organizational boundary and pick the value chain steps relevant to product acquisition. In the calculation variant, choose the fallback boot strap strategy for purchased product footprint for all supplier-related transactions.

Then, upload the secondary emission factor packages from sources like Ecoinvent, Exiobase, and Carbon Minds, or reuse the United States Environmental Protection Agency default emission factor packages.

After that import or replicate business transactions such as goods receipts from supplier data for all relevant periods. Ensure the amount and quantity are available in transactional data replicated from SAP S/4HANA.

In the Manage Purchased Product Footprint app, identify the products or product groups that currently do not have an assigned carbon footprint. Generate the mapping for these products using the artificial intelligence (AI) capability. Review the recommended mappings provided by AI and select the ones that fit best with your business scenarios. Release and assign these selected footprints to the respective products. If the system cannot automatically map certain products or if none of the AI suggestions fit your business scenario, manually assign the emission factors to the purchased products.

Next, you can choose the spend or average data calculation method based on the AI mapping recommendation.

Then, create a periodic inventory of your footprints and perform calculations on the recorded footprint data to generate results. Review the calculated footprint results to ensure accuracy and completeness. This allows you to track and analyze the carbon footprint over time and make necessary adjustments.

In this lesson, you'll focus on first four steps of the overall process flow.

You have already learned to import master data in the beginner learning journey. You will now see how to set the footprint inventory scope for purchased product footprint.

In the system, when setting the footprint inventory scope, select the value chain step as Product Acquisition.

Business transactions occurring within a company are crucial for calculating emissions. For instance, receiving goods from suppliers increases corporate emissions, while selling goods to a customer reduces corporate emissions within a given period. Therefore, you must replicate business transactions relevant to emission calculations in the application.

To import business transactions necessary to calculate the footprints for organization, use the app Import Business Transaction.

The imported business transactions for AlmikaSoft’s Berlin plant are shown here.