Robust policy: low-demand formulation across SSP2 variants

from noads.application.examples import single_policy_robust_scenario_optimization

Robust optimization with demand avoidance

Find a single policy that is feasible across SSP2-1.9, SSP2-2.6, and SSP2-3.4 simultaneously. All propulsion architectures are available, and the optimizer can reduce demand as a complementary lever.

background_scenarios = ["SSP2-34", "SSP2-26", "SSP2-19"]

result = single_policy_robust_scenario_optimization(
    scenario_name="robust-SSP2-lowdemand",
    global_scenario_names=background_scenarios,
    carbon_budget_percent=3.0,
    technology_index=1,
    drop_in_only=False,
    low_demand_formulation=True,
    preferential_energy=False,
    load_optimum=True,
    plot_optimum=True,
    save_optimum=False,
    save_history_view=False,
    save_figs=False,
)