osier.equations.objective_from_energy#

osier.equations.objective_from_energy(technology_list, attribute, solved_dispatch_model)[source]#

This function calculates a general objective for a given set of technologies and their corresponding dispatch on a per-unit-energy basis.

The general objective function is

\[\mathcal{X} = \sum_g^G \xi_g \sum_t^T x_{g,t},\]
\[x_{g,t} = \text{the energy produced by the g-th technology at time t}\quad \left[MWh\right]\]
\[\xi_g = \text{the energy density of the g-th technology}\quad \left[\frac{-}{MWh}\right].\]

Warning

User-defined attributes are not validated by osier. Verify the units are accurate and uniform across all technologies before running a simulation with this function.

Parameters:

  • technology_list (list of osier.Technology objects) – The list of technologies.

  • solved_dispatch_model (osier.DispatchModel) – A _solved_ dispatch model (i.e. with model results and objective attributes).

  • attribute (string) – The technology attribute to measure.

Returns:

objective_value – The objective value for a particular energy mix.

Return type:

float

Examples

The simplest way to employ this function is with functools.partial.

>>> import functools
>>> from osier import per_unit_capacity
>>> objectives_list = [functools.partial(objective_from_energy, attribute='water_use'),
...                    functools.partial(objective_from_energy, attribute='death_rate')]
On this page

This Page