db_scaling_laws.py
3.33 KB
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import numpy as np
def correct_gcd_from_icao(d):
if d <= 550.:
return d + 50.
elif 550. < d < 5500.:
return d + 100.
elif d >= 5500.:
return d + 125.
def db_def_seat_class_coeff_from_defra(category="economy"):
seat_coeff_defra = [0.073195, 0.11711, 0.21226, 0.29276]
seat_category = ["economy", "premium ", "business ", "first"]
assert category in seat_category
if category.lower() == "economy":
return 1.
elif category.lower() == "premium":
return seat_coeff_defra[1] / seat_coeff_defra[0]
elif category.lower() == "business":
return seat_coeff_defra[2] / seat_coeff_defra[0]
elif category.lower() == "first":
return seat_coeff_defra[3] / seat_coeff_defra[0]
def db_direct_emission(method, dist_min, x):
if x < dist_min:
return 0.
# x is the GCD I calculate
if method == "ICAO":
if x < 1000.:
return 23.339 + 0.10108 * x
if 1000. <= x < 4000.:
return 70.851 + 0.050821 * x
if x > 4000.:
return 121.08 + 0.035461 * x
if method == "DEFRA":
if x < 500.:
return x * 0.13483
if 500. <= x < 3700.:
return x * 0.08233
if x >= 3700.:
return x * 0.5 * (0.0792 + 0.073195)
if method == "ATMOSFAIR":
x += 50.
if x < 1000.:
return 25.922 + 0.079107 * x
if 1000. <= x < 4000.:
return 35.041 + 0.066183 * x
if x > 4000.:
return (-80.835) + 0.095998 * x
if method == "ADEME":
d_corr = correct_gcd_from_icao(x)
# This is from table 21
if x < 1000.:
coeff_emission = [117., 187, 141, 223.]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 1000. <= x < 2000.:
coeff_emission = [95, 254, 123, 117, 161]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 2000. <= x < 3000.:
coeff_emission = [91, 101, 109]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 3000. <= x < 4000.:
coeff_emission = [99, 99, 105]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 4000. <= x < 5000.:
coeff_emission = [90, 126, 153]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 5000. <= x < 6000.:
coeff_emission = [88, 98, 150]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 6000. <= x < 7000.:
coeff_emission = [82, 100]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 7000. <= x < 8000.:
coeff_emission = [87, 91]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 8000. <= x < 9000.:
coeff_emission = [87, 95]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 9000. <= x < 10000.:
coeff_emission = [73, 83]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif 10000. <= x < 11000.:
coeff_emission = [95]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))
elif x >= 11000.:
coeff_emission = [94]
return np.mean(np.multiply(coeff_emission, d_corr / 1000.))