Version 0.6.4 is packaged up and ready for download on PyPI and conda-forge!

Highlights of this version are new group constraints that add a range of flexibility. For example, the cost_var_max group constraint allows flexible emissions limits on a per-region basis (assuming emissions are modelled as a cost class). The demand_share_max or demand_share_per_timestep_max group constraints allow limiting groups of technologies (e.g., variable renewables, or legacy generators) to a maximum on a model-wide basis or for groups of locations, on average or in each individual time step, respectively. Many kinds of policy constraints on system planning can easily be modelled through group constraints.

The documentation has a full list of all group constraints.

In addition, multi-objective optimisation problems can now be specified by weighting cost classes in the default objective function, an asynchronous_prod_con setting allows forcing storage or transmission technologies to not supply and demand a carrier in the same time step, and specialised storage-related constraints (energy_cap_per_storage_cap_equals and energy_cap_per_storage_cap_min) were added.

The documentation has also seen quite a few improvements and a visual overhaul.

For details on all the improvements to constraints and the various bugs that were fixed, see the full changelog.