With these requirements, we can build a model to estimate emissions over time. This will be an iterative process that includes a cross-section of interested parties across your company, so think big. Try to envision the entire scope in broad strokes. Understand what assets will need reporting, what kind of data can be expected from them, and what actions have been scheduled that may change the data. Then, we start small by mocking up realistic data to run through the model, review the results, and then iterate.
Throughout this process, list what types of data are required in different areas for the calculation. For real estate, this may include geographic location, square area, usage types, utility types and quantities, etc. The resulting model gives you the basis for understanding your situation “as-is” and can then be used to project what “could be”. This is your Proof of Concept (PoC), and you will find that in some areas, broad strokes provide enough information, while others will require more refined data for a more robust model. At its core, this PoC is giving you the information that you need for reporting, and you have discovered what data is needed to feed it.
Now, we need to acquire the data.
In part 2, we will take our Proof of Concept and look at the next steps of collecting data, planning actions, and model validation.