def power_unit_area(
start_time,
route,
speed,
power_per_square=140,
title=0,
azim=0,
tracking=0,
power_coefficient=0.3,
cut_in_speed=2,
cut_off_speed=15,
technology='csi',
system_loss=0.10,
angles=None,
dataFrame=False,
):
"""
Get power output of wind and PV system in a 1 metre square unit area.
:param start_time: str or Dateindex start date of journey
:param route: numpy nd array (n,2) [lat, lon] of way points
:param speed: float or list if float is given, it is assumed as constant speed operation mode
otherwise, a list of n with averaged speed should be given
:param power_per_square: float W/m^2 rated power per squared meter
:param title: float degrees title angle of PV panel
:param azim: float degrees azim angle of PV panel
:param tracking: int 0 1 or 2 0 for no tracking, 1 for one axis, 2 for two axis
:param power_coefficient: float power coefficient of wind turbine
:param cut_in_speed: float m/s cut in speed of wind turbine
:param cut_off_speed: float m/s cut off speed of wind turbine
:param technology: optional str 'csi'
:param system_loss: float system lost of the system
:param angles: optional solar angle
:param dataFrame: optional return dataframe or not
:return: tuple of Pandas series solar power and wind power with datatime index
"""
route = np.array(route).reshape(-1, 2)
# Unpack route to ndarray for route based processing
mission = Mission(start_time, route, speed)
sim = Sim(mission)
sim.sim_wind(1, power_coefficient, cut_in_speed, cut_off_speed)
sim.sim_solar(
title,
azim,
tracking,
power_per_square,
technology,
system_loss,
angles,
dataFrame,
)
solar_power = sim.solar_power
wind_power = sim.wind_power
return solar_power, wind_power
'sonar': {
'power': [0.5, 50],
'duty_cycle': 0.5
},
'ph_sensor': {
'power': [0.08, 0.1],
'duty_cycle': 0.95
},
'temp_sensor': {
'power': [0.04],
'duty_cycle': 1
},
'wind_sensor': {
'power': [0.67, 1.1],
'duty_cycle': 0.5
},
'servo_motors': {
'power': [0.4, 1.35],
'duty_cycle': 0.5
},
'radio_transmitter': {
'power': [0.5, 20],
'duty_cycle': 0.2
}
}
test_mission = Mission('2014-01-01', test_route, 2)
test_task = Task(test_mission, test_ship, power_consumption_list)
test_task.estimate_demand_load()