Drop-in SAF: low-demand formulation

from noads.application.examples import single_policy_scenario_optimization

Drop-in SAF with demand avoidance

Drop-in fuels are available, and the optimizer can also reduce demand as a lever. This tests whether demand-side policy complements fuel switching.

results_per_tech = []
for technology_index in range(3):
    result = single_policy_scenario_optimization(
        global_scenario_name="SSP2-26",
        technology_index=technology_index,
        drop_in_only=True,
        fossil_kerosene_only=False,
        low_demand_formulation=True,
        preferential_energy=False,
        load_optimum=True,
        plot_optimum=technology_index == 1,
        save_optimum=False,
        save_figs=False,
    )
    results_per_tech.append(result)