Release v0.6.4
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.