noads.application.examples#
Utilities for launching scenario optimization examples.
- noads.application.examples.single_policy_robust_scenario_optimization(scenario_name, global_scenario_names, carbon_budget_percent=3.0, technology_index=0, drop_in_only=False, fossil_kerosene_only=False, low_demand_formulation=False, preferential_energy=False, load_optimum=False, plot_optimum=True, save_optimum=False, save_history_view=False, save_figs=False)[source]#
Optimal decarbonization scenario robust to several background scenarios.
- noads.application.examples.single_policy_scenario_optimization(global_scenario_name, carbon_budget_percent=3.0, technology_index=0, drop_in_only=False, fossil_kerosene_only=False, low_demand_formulation=False, preferential_energy=False, load_optimum=False, plot_optimum=True, save_optimum=False, save_history_view=False, save_figs=False, plot_computational_graphs=False)[source]#
Optimal decarbonization scenario based on a single objective.
- Parameters:
global_scenario_name (str) – Name of the background scenario.
carbon_budget_percent – Percentage of CO2 budget to allocate.
technology_index – Technology level (0=lower, 1=mid, 2=upper).
drop_in_only – Use only drop-in fuels.
fossil_kerosene_only – Use only fossil kerosene.
low_demand_formulation – Use low-demand optimization formulation.
preferential_energy – Apply preferential energy availability constraint.
load_optimum – Load previously saved optimization results instead of re-running.
plot_optimum – Plot the optimization results.
save_optimum – Save the optimization results to file.
save_history_view – Save optimization history visualization.
save_figs – Save generated figures to files.
plot_computational_graphs – Plot computational dependency graphs.
- Returns:
Dictionary containing optimal output values.
Functions
Optimal decarbonization scenario robust to several background scenarios. |
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Optimal decarbonization scenario based on a single objective. |