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config-user.yml
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#************************ User's configuration file for ROC *******************#
#################################################################################
# Configuration of the Robust Optimal Control for flight planning (ROC) Library #
#################################################################################
## If true, climate impact is considered for optimization
climate_impact: true
##################################
# Definition of Objective Function
##################################
## if climate_impact: true, one needs to specify the weights of each species in the objective function
## parameters used to model the inequality constraints of persistent contrail formation areas:
#### inequality conditions of ice supersaturated areas modeled as sigmoid functions (if or else):
# parameters of sigmoid function for relative humidity over ice: *** r_condition = 1/(1+np.exp(-r_pa*( r-r_thr))) ****
r_thr: 0.95
r_pa: 250
# parameters of sigmoid function for temperature: *** t_condition = 1/(1+np.exp(-t_pa*(-t+t_thr))) ****
t_pa: 10
t_thr: 235
# Species to be included in the objective function in order to represent climate effects? (1: included, 0: not included)
daytime: 1.0
nighttime: 0.0
EI_contrail: 1.0
EI_NOx: 1.0
EI_H2O: 1.0
EI_CO2: 1.0
# How should the climate effects be considered in the optimization problem? ('lagr': in cost functional, 'mayer': defined as additional state variables)
climate_modeling: lagr # lagr or mayer
#### How to control uncertainty ranges in climate effects
# Penalizing average climate effects weighted by C * EI.
# C is a constant factor multiplied by EI * Climate impact (used for scaling the order with respect to fuel consumption and flight time)
climate_avg: true
C: 1e10
EI: 1
# Penalizing variance of climate effects weighted by EI_DP
climate_std: false
EI_DP: 1e5