def databases():
# pump database
pump_sunpump = pp.Pump(
os.path.join(test_dir, "../data/pump_files/SCB_10_150_120_BL.txt"))
pump_shurflo = pp.Pump(os.path.join(test_dir,
"../data/pump_files/Shurflo_9325.txt"),
price=700)
pump_database = [pump_shurflo, pump_sunpump]
# pv database
pv_database = [
'Canadian_Solar_Inc__CS1U_430MS', 'Canadian_Solar_Inc__CS5C_80M'
]
# MPPT
mppt1 = mppt.MPPT(efficiency=0.96, price=1000)
return {'pumps': pump_database, 'pv_modules': pv_database, 'mppt': mppt1}
return None
# motor-pump and PV module to reduce the life cycle cost of a system.
# It first computes the number of PV modules required for the combination
# to pump enough water in order to respect the maximum water shortage
# probability (named llp) accepted. Then it selects the combination with
# the lowest net present value.
# --------- ELEMENTS TO SIZE----------------------------------------------
# ------------- Pumps -----------
# Three pumps are available here. The user wants to find the one which fits
# best for the application. First the 3 pumps must be imported.
# Note that the motor-pumps coming from 'sunpump' follow a naming convention:
# The 3 numbers are respectively the flow rate in GPM, the Head in feet, and
# the voltage in V at the rated operating point. Note that the rated voltage
# is also the maximum input voltage for the pump.
pump_1 = pp.Pump(
path="../../pvpumpingsystem/data/pump_files/SCB_10_150_120_BL.txt")
pump_2 = pp.Pump(
path="../../pvpumpingsystem/data/pump_files/SCB_10_150_180_BL.txt")
# For the pump remember that the details given in the text file can be
# overwritten in its definition: for example the price is overwritten here.
pump_3 = pp.Pump(
path="../../pvpumpingsystem/data/pump_files/SCS_12_127_60_BL.txt",
price=1300)
# The database must be provided under the form of a list for the sizing:
pump_database = [pump_1, pump_2, pump_3]
# ------------- PV Modules -----------
# Two different modules are investigated here
mppt1 = mppt.MPPT(efficiency=0.96,
price=410,
idname='PCA-120-BLS-M2'
)
# ------------ PUMPS -----------------
# For entering new pump data:
# 1) open the template at: "../data/pump_files/0_template_for_pump_specs.txt"
# 2) write your specs (watch the units!),
# 3) save it under a new name (like "name_of_pump.txt"),
# 4) and close the file.
#
# To use it here then, download it with the path as follows:
pump_sunpump = pp.Pump(path="../../pvpumpingsystem/data/"
"pump_files/SCB_10_150_120_BL.txt")
# ------------ PIPES ------------------------
pipes1 = pn.PipeNetwork(h_stat=20, # static head [m]
l_tot=100, # length of pipes [m]
diam=0.05, # diameter [m]
material='plastic')
# ------------ PVPS DEFINITION -----------
# Here you gather all components of your PV pumping system previously defined:
pvps1 = pvps.PVPumpSystem(pvgen1,
pump_sunpump,
coupling='direct', # to adapt: 'mppt' or 'direct',
pipes=pipes1)
def pvps_set_up():
pvgen1 = pvgen.PVGeneration(
# Weather data
weather_data_and_metadata=(
os.path.join(test_dir,
'../data/weather_files/CAN_PQ_Montreal'
'.Intl.AP.716270_CWEC_truncated.epw')),
# PV array parameters
pv_module_name='kyocera solar KU270 6MCA',
price_per_watt=1, # in US dollars
surface_tilt=45, # 0 = horizontal, 90 = vertical
surface_azimuth=180, # 180 = South, 90 = East
albedo=0, # between 0 and 1
modules_per_string=2,
strings_in_parallel=2,
# PV module glazing parameters (not always given in specs)
glass_params={'K': 4, # extinction coefficient [1/m]
'L': 0.002, # thickness [m]
'n': 1.526}, # refractive index
racking_model='open_rack', # or'close_mount' or 'insulated_back'
# Models used (check pvlib.modelchain for all available models)
orientation_strategy=None, # or 'flat' or 'south_at_latitude_tilt'
clearsky_model='ineichen',
transposition_model='haydavies',
solar_position_method='nrel_numpy',
airmass_model='kastenyoung1989',
dc_model='desoto', # 'desoto' or 'cec' only
ac_model='pvwatts',
aoi_model='physical',
spectral_model='no_loss',
temperature_model='sapm',
losses_model='pvwatts'
)
pvgen1.run_model()
mppt1 = mppt.MPPT(efficiency=1,
price=200)
pump_testfile = os.path.join(test_dir,
'../data/pump_files/SCB_10_150_120_BL.txt')
pump1 = pp.Pump(path=pump_testfile,
modeling_method='arab')
pipes1 = pn.PipeNetwork(h_stat=10, l_tot=100, diam=0.08,
material='plastic', optimism=True)
reserv1 = rv.Reservoir()
consum1 = cs.Consumption(constant_flow=1)
pvps1 = pvps.PVPumpSystem(pvgen1,
pump1,
coupling='mppt',
mppt=mppt1,
pipes=pipes1,
consumption=consum1,
reservoir=reserv1)
return pvps1
# ------------ MPPT/DC-DC CONVERTER -------
mppt1 = mppt.MPPT(efficiency=0.96, price=410, idname='PCA-120-BLS-M2')
# ------------ PUMPS -----------------
# For entering new pump data:
# 1) go in: "../data/pump_files/0_template_for_pump_specs.txt"
# 2) write your specs (watch the units!),
# 3) save it under a new name (like "name_of_pump.txt"),
# 4) and close the file.
#
# To use it here then, download it with the path as follows:
pump_sunpump = pp.Pump(path="../../pvpumpingsystem/data/"
"pump_files/SCB_10_150_120_BL.txt",
modeling_method='kou')
pump_shurflo = pp.Pump(
path="../../pvpumpingsystem/data/"
"../data/pump_files/Shurflo_9325.txt",
price=640, # USD
motor_electrical_architecture='permanent_magnet',
modeling_method='arab')
# ------------ PIPES ------------------------
pipes1 = pn.PipeNetwork(
h_stat=20, # static head [m]
l_tot=100, # length of pipes [m]
diam=0.05, # diameter [m]