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Step 4: Choose your incumbent emissions

Confirming or modifying the incumbent market unit emissions.
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In this step you can view and change the emissions per sales unit for the incumbent market selected in the previous step. This data has been collected by a team of researchers and is based on a range of global emissions, production and sales data from publicly available references.
On this page, you will find:
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Don’t forget to save!

Your progress in the tool does not save automatically. If you are not finished inputting data for your tool, click through to the end and save the solution to your solutions. You can then go back and open the model in “My Solutions” and edit the inputs later.

Using the CRANE tool default data

If you choose to use the CRANE tool default data, we recommend keeping the market name, geography, and projection scenario names the same.
The CRANE tool default values are based on research conducted by the CRANE team on the incumbent market technologies. The CRANE tool defaults will often assume that this remains the same over time, except in cases where the technology’s emissions intensity is expected to decline. For example, if the technology is advancing on its own (in other words, becoming more efficient), the per-unit emissions of the incumbent will decrease over time, often leading to overall impact of a solution.
To determine whether the default data used by the CRANE tool are sufficient, you can click the button on the top right. This will allow you to view and edit the reference if needed.
You can check whether the data source is reliable by looking at the name of the reference organization, year of publishing and author, where applicable. The CRANE tool’s default values are based on research conducted beginning in 2018, although the core citations may be older than that. If more recent data are desired, we recommend checking the sources directly for new data, searching for an entirely new source, adding the data manually and editing the reference accordingly, or finding a trusted third party to perform those tasks.
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Modify the incumbent market unit emissions

You can choose to use your own data to improve the accuracy of the impact assessment. You can use the data provided by the CRANE tool and narrow down the emissions data for their specific market or geography. For example, if a user would like regional data, they can choose to modify the data set to reflect the market unit emissions for the technology in a specific geographical region.
You may also want to use your own data if the technology didn’t match the technology very closely. In this case you can completely replace all the data and find your own references. This is especially relevant in cases where the technology exists in a highly specific niche or when it is in a very new field that doesn’t have a lot of data yet.
In this case, you can change the Incumbent Market Name, Incumbent Geography and the Projection Scenario name to match the data of the market that is planned to be entered.
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Once you have changed the names of the incumbent market unit emissions data, you can modify the data inputs and change the references accordingly. You can also export the existing data so that you can manipulate it in Excel. Lastly, you can export the charts as an image for use elsewhere.
Learn how to edit references
Learn how to edit data

FAQs

1
How do I know if I should use the default data in the CRANE tool?
We recommend using the default data in the CRANE tool if users are looking to do a quick assessment to get an order of magnitude for the impact. For more accurate results, we recommend looking up the references and checking the websites for more up-to-date data and adding this to the model manually. Users should always remember to update the references for the corresponding section that has been changed.
2
Why is most of the CRANE tool default data still from 2018-2019?
In 2018-2019, a team of researchers have manually collected data for each of the technologies and integrated these into the CRANE tool database for a total of 281 models. We will be updating many of the models and data in the near future, but currently users are expected to validate and modify the data on their own or with the help of a trusted third party.
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