def run():
alpha = .13 # Formation discount
hub_to_destination = 1500 # distance in NM
trunk_deviation = 4 # degrees
W_1 = 297550 - 14000 # B777 Maxweight at start of cruise
font = {'family': 'sans-serif', 'weight': 'normal', 'size': 12}
model = {'name': 'B772', 'W_1': W_1, 'V': 500, 'c_L': .6, 'L_D': 19.26}
# Split the segment hub-destination up into a trunk segment and a
# cross segment
(trunk, cross) = project_segment(trunk_deviation, hub_to_destination)
for alpha in np.arange(.04, .20, .02):
(Q_list, Q_opt, fuel_list, fuel_opt) =\
get_hookoff(alpha, trunk, cross, model)
plt.plot(Q_list, fuel_list, label=r'$\alpha=%s$' % alpha)
plt.plot(Q_opt, fuel_opt, 'sb')
plt.xlabel('Q', fontweight='bold')
plt.ylabel('Fuel Burn', fontweight='bold')
plt.legend(loc=(0.05, 0.05))
plt.title('Breguet Fuel Burn Against Q (B777-200ER)',
fontsize=16,
fontweight='bold')
plt.show()
def run():
alpha = .13 # Formation discount
hub_to_destination = 1500 # distance in NM
trunk_deviation = 4 # degrees
W_1 = 297550 - 14000 # B777 Maxweight at start of cruise
font = {'family' : 'sans-serif',
'weight' : 'normal',
'size' : 12}
models = [{
'name' : 'B772',
'W_1' : W_1,
'V' : 500,
'c_L' : .6,
'L_D' : 19.26
},{
'name' : 'A333',
'W_1' : W_1,
'V' : 500,
'c_L' : .5,
'L_D' : 17
},{
'name' : 'B763',
'W_1' : W_1,
'V' : 500,
'c_L' : .48,
'L_D' : 16
}]
# Split the segment hub-destination up into a trunk segment and a
# cross segment
(trunk, cross) = project_segment(trunk_deviation, hub_to_destination)
for model in models:
x = []
y = []
for alpha in np.arange(0.10, .16, .005):
(Q_list, Q_opt, fuel_list, fuel_opt) =\
get_hookoff(alpha, trunk, cross, model)
x.append(alpha)
y.append(Q_opt)
plt.plot(x, y, label = model['name'])
plt.legend(loc=(0.05, 0.05))
plt.xlabel(r'$\alpha$')
plt.ylabel(r'$Q$')
plt.title(
r'$Q_{opt}$ against $\alpha$ using Breguet Fuel Estimation'
)
plt.show()
def run():
alpha = .13 # Formation discount
hub_to_destination = 1500 # distance in NM
trunk_deviation = 4 # degrees
W_1 = 297550 - 14000 # B777 Maxweight at start of cruise
font = {'family': 'sans-serif', 'weight': 'normal', 'size': 12}
models = [{
'name': 'B772',
'W_1': W_1,
'V': 500,
'c_L': .6,
'L_D': 19.26
}, {
'name': 'A333',
'W_1': W_1,
'V': 500,
'c_L': .5,
'L_D': 17
}, {
'name': 'B763',
'W_1': W_1,
'V': 500,
'c_L': .48,
'L_D': 16
}]
# Split the segment hub-destination up into a trunk segment and a
# cross segment
(trunk, cross) = project_segment(trunk_deviation, hub_to_destination)
for model in models:
x = []
y = []
for alpha in np.arange(0.10, .16, .005):
(Q_list, Q_opt, fuel_list, fuel_opt) =\
get_hookoff(alpha, trunk, cross, model)
x.append(alpha)
y.append(Q_opt)
plt.plot(x, y, label=model['name'])
plt.legend(loc=(0.05, 0.05))
plt.xlabel(r'$\alpha$')
plt.ylabel(r'$Q$')
plt.title(r'$Q_{opt}$ against $\alpha$ using Breguet Fuel Estimation')
plt.show()
def run():
alpha = .13 # Formation discount
hub_to_destination = 1500 # distance in NM
trunk_deviation = 4 # degrees
W_1 = 297550 - 14000 # B777 Maxweight at start of cruise
font = {'family' : 'sans-serif',
'weight' : 'normal',
'size' : 12}
model = {
'name' : 'B772',
'W_1' : W_1,
'V' : 500,
'c_L' : .6,
'L_D' : 19.26
}
# Split the segment hub-destination up into a trunk segment and a
# cross segment
(trunk, cross) = project_segment(trunk_deviation, hub_to_destination)
for alpha in np.arange(.04, .20, .02):
(Q_list, Q_opt, fuel_list, fuel_opt) =\
get_hookoff(alpha, trunk, cross, model)
plt.plot(Q_list, fuel_list, label = r'$\alpha=%s$' % alpha)
plt.plot(Q_opt, fuel_opt, 'sb')
plt.xlabel('Q', fontweight = 'bold')
plt.ylabel('Fuel Burn', fontweight = 'bold')
plt.legend(loc=(0.05, 0.05))
plt.title('Breguet Fuel Burn Against Q (B777-200ER)', fontsize = 16, fontweight = 'bold')
plt.show()
#x = []
#y = []
#for alpha in np.arange(0, 1, .005):
# (Q_list, Q_opt, fuel_list, fuel_opt) = get_hookoff(alpha, trunk, cross, W_1)
# x.append(alpha)
# y.append(Q_opt)
#
#plt.plot(x, y, )
#plt.xlabel('Q')
#plt.ylabel('Fuel Burn')
#plt.legend(loc=(0.05, 0.05))
#plt.title(
# r'$Q_{opt}$ against $\alpha$ using Breguet Fuel Estimation (B777-200ER)'
#)
#plt.show()
