Another new bug fix model has been released. Thanks to Matt Beck for pointing out one of the errors that was fixed.

Registered users can grab GHGenius 5.0c on the Downloads page.

Another small bug fix release has been made. The difference between GHGenius 5.0a and GHGenius 5.0b is just the press of a single default button.

While there was no news post at the time, two more reports were added in early September. Technology Data for Renewable Fuels and Addition of Materials Data to the Danish Transportation LCA Model are both from work with the Danish Energy Agency. The associated links include reports and an LCA model that S&T Squared helped work on.

A new model version, GHGenius 5.0a, is available to fix two bugs that have cropped up.

About versioning. Going forward we intend to keep our version numbers more meaningful than in the past. Lettered versions of the model such as 5.0a are intended to be strictly bug fix releases that do not add any new data or pathways. They will be used for bug fixes with macros, labels, or small fixes to pathways.

If any bug fixes are far reaching or impacting default pathway settings they will be pushed to a decimal incremented release such as 5.0.1 or 5.0.2. Our plan is to have lettered versions almost entirely cross compatible, and decimal versions with small updates. Larger, probably annual, updates will be labelled as 5.1.0 or 5.2.0.

There is a new GHGenius website. Unfortunately you will have to re-register to access the model and some of the reports; however you can use the same user name and password that you previously used.

Along with a new version of the model (GHGenius 5.0) there are new reports posted.  The 3 and 4 series of the GHGenius models and some of the previously posted reports are no longer available for download.

The new model has many new data series, new pathways, new regions, new features, new macros, and a new look that avoids the Excel limitations that previous versions experienced. It has been created by the same team that developed the 2, 3 and 4 series models following the same approaches to data quality.