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Heating degree days and cooling degree days for thousands of locations worldwide. Download free data in a simple spreadsheet format.
There are three main types of degree days: heating degree days (HDD), cooling degree days (CDD), and growing degree days (GDD). I've focused most of this article on explaining heating degree days. Once you understand how heating degree days work, it will be very easy for you to understand the others.
Using our API, your software can: Fetch accurate degree-day data for locations worldwide, as and when it's needed. Build a database of degree days mapped by building location, postal/zip code, or longitude/latitude coordinates.
We calculate degree days from detailed temperature readings taken throughout each day, using the Integration Method that is introduced in this introduction to degree days and explained in more detail further down on this page. We call it the "Integration Method" because, mathematically, integration is how it works.
The regression tool will calculate them automatically based on the energy-usage data you give it and the degree days it generates automatically for your chosen location. Let's now consider the whole of the baseline period.
Perfectly-regular hourly temperature data with no gaps. Not a replacement for degree days, but important for certain sorts of specialist analysis and building simulation. | High-speed access. Calculating accurate degree days and running regressions requires a lot of number crunching.
Our desktop app makes it quick and easy to download data for lots of locations at once: Specify a list of locations and the data you want for each. Let our system generate and assemble the data for you automatically. Export it all into a single spreadsheet.
A simple regression of energy consumption against heating degree days or cooling degree days is easy enough to do in Excel. But the Degree Days.net regression tool offers a lot more: It does weighted regression, recommended by ASHRAE and others for improved accuracy, but difficult to do in Excel.
You can download degree days from our free website and use our regression tool from there too, by choosing "Regression" as the "Data type". It will automatically test your energy data against degree days in lots of different base temperatures, to find the ones that give the best statistical fit.
Degree Days.net covers common use cases by offering daily, weekly, and monthly data (as well as multi-year averages). And for anything else you can copy/paste in custom dates from Excel and our system will generate degree days to match.