Drop-in SAF: comparison of all variants

from noads.application.examples import single_policy_scenario_optimization
from noads.application.visualization import plot_tech_scenario_jet_fuel
from noads.application.visualization import plot_tech_scenarios_trends

Drop-in scenario comparison

Gather results from all four drop-in variants (baseline, trend, availability, low-demand) and plot side-by-side comparisons of technology trends and jet fuel composition.

BACKGROUND = "SSP2-26"


def load_results(
    fossil_kerosene_only=False,
    low_demand_formulation=False,
    preferential_energy=False,
):
    """Load saved results for all three technology levels."""
    return [
        single_policy_scenario_optimization(
            global_scenario_name=BACKGROUND,
            technology_index=tech_idx,
            drop_in_only=True,
            fossil_kerosene_only=fossil_kerosene_only,
            low_demand_formulation=low_demand_formulation,
            preferential_energy=preferential_energy,
            load_optimum=True,
            plot_optimum=False,
            save_optimum=False,
            save_figs=False,
        )
        for tech_idx in range(3)
    ]

Load all variants

scenario_tech_outputs = {
    "Baseline SSP2": load_results(fossil_kerosene_only=True),
    "Drop-in trend": load_results(),
    "Drop-in availability": load_results(preferential_energy=True),
    "Drop-in low-demand": load_results(low_demand_formulation=True),
}

Technology scenario trends

plot_tech_scenarios_trends(
    scenario_outputs=scenario_tech_outputs,
    colors=["#7F7F7F", "#D62728", "#9467BD", "#BCBD22"],
    save_fig=False,
)

Jet fuel composition over time

plot_tech_scenario_jet_fuel(
    scenario_outputs=scenario_tech_outputs,
    colors=["#7F7F7F", "#D62728", "#9467BD", "#BCBD22"],
    save_fig=False,
)