def __init__(self):
self.compressor = Compressor()
self.turbine = Turbine()
self.initial_guess = self.__class__.DEFAULT_PARAMS.copy()
self.cpc = 1004 # J/(kg K)
self.cpt = 1225 # J/(kg K)
self.T01 = 273.15 # K
self.P01 = 101e3 # Pa
self.R_c = (1 - 1 / self.compressor.gam) * self.cpc # from gam and cp
self.R_t = (1 - 1 / self.turbine.gam) * self.cpt
self.A8 = pi / 4 * 35e-3**2 # Measured: D8 = 45mm
self.FHV = 43e6 #J/kg Fuel lower calorific value
self.eta_combustion = 0.5
def __init__(self,V=1000.,cmp_eff=80.,trb_eff=90.,p=200000):
# Air Side
self.amb = Ambient()
self.cmp = Compressor(eff=cmp_eff)
self.tank = Tank(V=V,p=p)
self.trb = Turbine(eff=trb_eff)
self.m_dot_i = 0.0
self.m_dot_o = 0.0
# Heat Side
# Create pandas DataFrame to store results
self.df = pd.DataFrame(columns=variables)
def suctionside(inputData):
turbine, conditions = Turbine.by_conditions(*inputData, lambd=3.5)
newconditions = np.array([
conditions[0],
np.array([0.22, 0.94]),
np.array([0.5, .97]),
np.array([0.77, .7]), conditions[6]
])
# plt.plot(newconditions[:,0], newconditions[:,1])
# plt.show()
tvals = util.spacing(newconditions, (0, 1), 'uniform')
knots = np.array([0, 0, 0, 0, 1 / 3. * sum(tvals[1:4]), 1, 1, 1, 1])
basis = util.basisarray(3, knots)
der0 = basis[-1]
rang = 5
probmatrix = np.array([
[der0[i](tvals[0]) for i in range(rang)],
[der0[i](tvals[1]) for i in range(rang)],
[der0[i](tvals[2]) for i in range(rang)],
[der0[i](tvals[3]) for i in range(rang)],
[der0[i](tvals[4]) for i in range(rang)],
])
xpts = np.linalg.solve(probmatrix, newconditions[:, 0])
ypts = np.linalg.solve(probmatrix, newconditions[:, 1])
return Spline(np.array([xpts, ypts]), knots)
def spawn(self, dna):
x, y = dna['x'], dna['y']
obj = Turbine(x, y)
if indivCheckConstraints(obj, self.coords, self.config['dia']):
return obj
else:
del obj
return 0
def __init__(self):
self.config = config()
self.idx = 0
self.coords = []
self.pop = []
self.losses = []
self.pool = []
self.thresh = 0.3
corners = [[clearance, clearance], [limit - clearance, clearance],
[clearance, limit - clearance],
[limit - clearance, limit - clearance]]
for i, coord in enumerate(corners):
obj = Turbine()
for j in range(0, life):
obj.dna[j] = coord
self.pop.append(obj)
for i in range(0, num - 4):
obj = Turbine()
self.pop.append(obj)
def validate(args):
config = TurbineConfig.load(args.Config_file)
config.environment.load = args.Environment_file # Set given path as environment.xml path
env_file = ET.parse(config.environment.load)
robot_xml = env_file.find('Robot')
robot_xml.attrib['file'] = args.Robot_file
env_file.write(config.environment.load) # Set given path as robot.xml path
turbine = Turbine(config)
DB = db.DB(join(environ['PYTHON_DATABASE'], area_db[args.Area]), turbine)
success = blade_coverage.base_grid_validation_parser(
turbine, DB, args.Grid, args.Trajectory_file)
if not success:
print "could not find the required coating trajectory"
sys.exit(1)
from numpy import pi, array, dot
import dynamics
import matplotlib.pylab as plt
import matplotlib.gridspec as gridspec
from turbine import Turbine
# Turn off gravity
dynamics.OPT_GRAVITY = True
dynamics.OPT_GEOMETRIC_STIFFNESS = True
# Create model
bladed_file = r'C:\Users\Rick Lupton\Dropbox\phd\Bladed\Models\OC3-Hywind_SparBuoy_NREL5MW.prj'
tb = Turbine(bladed_file, rigid=False)
tb.set_base_motion(4, 0.80, 10 * pi / 180)
#t,y = tb.simulate(rotor_speed=2, t1=60, dt=0.05, init=True)
def p(parts=False):
fig = plt.figure()
fig.set_size_inches(15, 10, forward=True)
gs = gridspec.GridSpec(6, 2)
motion = ['surge', 'sway', 'heave', 'roll', 'pitch', 'yaw'][tb.base_motion]
fig.suptitle('Blade loads in response to base motion: {}'.format(motion))
assert motion == 'pitch'
az = [y[1][:, 0], y[6][:, 0], y[11][:, 0]]
pitch = [
y[0][:, tb.base_motion], y[5][:, tb.base_motion], y[10][:,
from turbine import Turbine
from turbine_config import TurbineConfig
import os
from os.path import join, isfile, realpath
from numpy import array
from time import time
cfg = TurbineConfig.load('test/turbine_unittest.cfg')
turbine = Turbine(cfg)
import visualizer
vis = visualizer.Visualizer(turbine.env)
import blade_coverage
import db
grid = 7
robot = turbine.robot
manip = robot.GetActiveManipulator()
robot.GetLink('Flame').Enable(False)
DB = db.DB(join(os.environ['PYTHON_DATABASE'], 'FACE'), turbine)
T = turbine.blades[3].GetTransform()
DB.T = T
psa = (1.8500000000000032, 0.53725006964517363, 0.82546707480056725)
threshold = 5e-2
t = time()
path = blade_coverage.base_grid_validation(turbine, psa, DB, grid, threshold)
print time() - t
def topology():
return Turbine(debug=True)
def curveClicked(self):
if self.turbine.currentText() != '':
Turbine(self.turbine.currentText()).PowerCurve()
return
import numpy as np
from numpy import pi, array, dot
import matplotlib.pylab as plt
import matplotlib.gridspec as gridspec
import dynamics
from turbine import Turbine
# Options
dynamics.OPT_GRAVITY = True
dynamics.OPT_GEOMETRIC_STIFFNESS = False
# Create model
bladed_file = r"C:\Users\Rick Lupton\Dropbox\phd\Bladed\Models\OC3-Hywind_SparBuoy_NREL5MW.prj"
tb = Turbine(bladed_file, rigid=False)
# Set base motion
tb.system.free(tb.base)
tb.system.prescribe(tb.base, acc=0, vel=0, part=[0, 1, 2, 3, 5])
# Define foundation matrix - no coupling for now
# Choose to match appropriate frequencies of rigid-body motion (Karimirad & Moan, 2012)
# in surge, sway, heave, roll, pitch yaw respectively
rigid_body_freqs = array([0.05, 0.05, 0.20, 0.22, 0.22, 0.84]) ** 2
foundation = np.diag(
[
tb.mass * rigid_body_freqs[0],
tb.mass * rigid_body_freqs[1],
tb.mass * rigid_body_freqs[2],
tb.inertia[0, 0] * rigid_body_freqs[3],
import dynamics
from turbine import Turbine
# Turn off gravity
dynamics.OPT_GRAVITY = True
dynamics.OPT_GEOMETRIC_STIFFNESS = True
# Parameters
pitch_freq = 0.3 # rad/s
pitch_amp = 0.3 # rad
rotor_speed = 2 # rad/s
# Create model
bladed_file = r'C:\Users\Rick Lupton\Dropbox\phd\Bladed\Models\OC3-Hywind_SparBuoy_NREL5MW.prj'
tb = Turbine(bladed_file)
tb.set_base_motion(4, pitch_freq, pitch_amp)
# Simulate
#t,y = tb.simulate(rotor_speed=2, t1=90, dt=0.10, init=True)
def mbc(az, u):
N = len(az)
B = array([
np.ones((3,N)),
[2*np.cos(az), 2*np.cos(az+2*pi/3), 2*np.cos(az+4*pi/3)],
[2*np.sin(az), 2*np.sin(az+2*pi/3), 2*np.sin(az+4*pi/3)],
]) / 3
u = array(u)
z = np.einsum('zbt,btj->jzt', B, u)
return z
class Engine(Turbomachine):
def __init__(self):
self.compressor = Compressor()
self.turbine = Turbine()
self.initial_guess = self.__class__.DEFAULT_PARAMS.copy()
self.cpc = 1004 # J/(kg K)
self.cpt = 1225 # J/(kg K)
self.T01 = 273.15 # K
self.P01 = 101e3 # Pa
self.R_c = (1 - 1 / self.compressor.gam) * self.cpc # from gam and cp
self.R_t = (1 - 1 / self.turbine.gam) * self.cpt
self.A8 = pi / 4 * 35e-3**2 # Measured: D8 = 45mm
self.FHV = 43e6 #J/kg Fuel lower calorific value
self.eta_combustion = 0.5
DEFAULT_PARAMS = {
'P0_ratio_c': 1.2347241010782356,
'Mb_t': 0.27072466251896482,
'MFP4': 0.15310678698124691,
'MFP3': 0.14924987675288623,
'M_flight': 0,
'mdotf': 0.0019637316313999187,
'P0_ratio_t': 0.92680225375718472,
'MFP5': 0.15451547834023707,
'Mb_c': 0.44527731422329964,
'MFP': 0.14801196525452109,
'T0_ratio_t': 0.98261102832775471,
'T0_ratio_c': 1.0669702796449636,
'T04': 840.63888888888891
}
N_FREE_PARAMS = 2
def implicit_map(
self,
M_flight, # flight mach number
MFP,
MFP3,
Mb_c,
T0_ratio_c,
P0_ratio_c, # compressor
mdotf,
T04, # burner
MFP4,
MFP5,
Mb_t,
T0_ratio_t,
P0_ratio_t # turbine
):
"""
This function implements burner, nozzle and spool dynamics and integrates it with
turbine and compressor maps
Variable balance:
12 variables
- 11 equations
--------
2 free choices (e.g. M_flight and mdotf)
"""
# Expose constants
A8 = self.A8
FHV = self.FHV
eta_combustion = self.eta_combustion
A5 = self.turbine.geom['A2']
gam_c = self.compressor.gam
gam_t = self.turbine.gam
cpc = self.cpc
cpt = self.cpt
T01 = self.T01
P01 = self.P01
R_c = self.R_c
R_t = self.R_t
### Dimensionalize everything ###
dim_params = self.dimensionalize(
M_flight, # flight mach number
MFP,
MFP3,
Mb_c,
T0_ratio_c,
P0_ratio_c, # compressor
mdotf,
T04, # burner
MFP4,
MFP5,
Mb_t,
T0_ratio_t,
P0_ratio_t # turbine
)
T02 = dim_params.T02
T03 = dim_params.T03
T05 = dim_params.T05
P02 = dim_params.P02
P03 = dim_params.P03
P04 = dim_params.P04
P05 = dim_params.P05
omega_c = dim_params.omega_c
omega_t = dim_params.omega_t
mdot2 = dim_params.mdot2
mdot3 = dim_params.mdot3
mdot4 = dim_params.mdot4
mdot5 = dim_params.mdot5
### CONSTRAINTS ###
# * Energy addition in ther burner
res_T04 = T03 + mdotf * FHV * eta_combustion / (mdot3 * cpc) - T04
# * Spool has constant speed
res_omega = omega_c - omega_t
# * Conservation of energy in the spool
res_energy = mdot2 * cpc * (T03 - T02) - mdot4 * cpt * (T04 - T05)
# * Consevation of mass in the combustor
res_mdot = mdot3 + mdotf - mdot4
# * Nozzle exit is either choked or at ambient pressure
Pa = P01 / (1 + (gam_c - 1) / 2 * M_flight**2)**(gam_c / (gam_c - 1))
MFP8 = MFP5 * A5 / A8
res_MFP_nozzle = (P05 / Pa - 1) * MFP8 - (P05 / Pa - 1) * mach2mfp(
min(1, (2 / (gam_t - 1) * ((P05 / Pa)**(
(gam_t - 1) / gam_t) - 1))**0.5) if P05 / Pa > 1 else 0, gam_t)
### remove dimensions of residuals ###
# References for removing dimensions of residuals
mdotref = (T01 * R_c)**0.5 / (P01 * gam_c**0.5 *
self.compressor.geom['A1'])
h_ref = cpc * T01
omega_ref = (gam_c * R_c * T01)**0.5 / self.compressor.geom['D2']
#remove dimensions
res_omega /= omega_ref
res_energy /= h_ref * mdotref
res_mdot /= mdotref
res_T04 /= T04
### COMPRESSOR MAP ###
res_MFP_c, res_T0_ratio_c, res_P0_ratio_c = self.compressor.implicit_map(
MFP, MFP3, Mb_c, T0_ratio_c, P0_ratio_c, tol=1e-13)
### TURBINE MAP ###
res_MFP_t, res_T0_ratio_t, res_P0_ratio_t = self.turbine.implicit_map(
MFP4, MFP5, Mb_t, T0_ratio_t, P0_ratio_t, tol=1e-13)
return (res_omega, res_energy, res_mdot, res_MFP_nozzle, res_T04,
res_MFP_c, res_T0_ratio_c, res_P0_ratio_c, res_MFP_t,
res_T0_ratio_t, res_P0_ratio_t)
def dimensionalize(
self,
M_flight, # flight mach number
MFP,
MFP3,
Mb_c,
T0_ratio_c,
P0_ratio_c, # compressor
mdotf,
T04, # burner
MFP4,
MFP5,
Mb_t,
T0_ratio_t,
P0_ratio_t # turbine
):
gam_c = self.compressor.gam
gam_t = self.turbine.gam
T01 = self.T01
P01 = self.P01
R_c = self.R_c
R_t = self.R_t
### Dimensionalize everything ###
a01 = (gam_c * R_c * T01)**0.5
a04 = (gam_t * R_t * T04)**0.5
T02 = T01
T03 = T02 * T0_ratio_c
T04 = T04
T05 = T04 * T0_ratio_t
P02 = P01
P03 = P02 * P0_ratio_c
P04 = P03
P05 = P03 * P0_ratio_t
omega_c = Mb_c * a01 / (self.compressor.geom['D2'] / 2)
omega_t = Mb_t * a04 / (self.turbine.geom['D1t'] / 2)
mdot2 = MFP * self.compressor.geom['A1'] * P01 * gam_c**0.5 / (
T01 * R_c)**0.5
mdot3 = MFP3 * self.compressor.geom['A2'] * P03 * gam_c**0.5 / (
T03 * R_c)**0.5
mdot4 = MFP4 * self.turbine.geom['A1'] * P04 * gam_t**0.5 / (T04 *
R_t)**0.5
mdot5 = MFP5 * self.turbine.geom['A2'] * P05 * gam_t**0.5 / (T05 *
R_t)**0.5
#Nozzle
MFP8 = min(MFP5 * self.turbine.geom['A2'] / self.A8,
mach2mfp(1, gam_t))
M8 = mfp2mach(MFP8, gam_t)
P8 = P05 * (1 + (gam_t - 1) / 2 * M8**2)**(-gam_t / (gam_t - 1))
T8 = T05 * (1 + (gam_t - 1) / 2 * M8**2)**(-1)
dim_params = DimensionalParameters(T02=T02,
T03=T03,
T04=T04,
T05=T05,
T8=T8,
P02=P02,
P03=P03,
P04=P04,
P05=P05,
P8=P8,
omega_c=omega_c,
omega_t=omega_t,
mdot2=mdot2,
mdot3=mdot3,
mdot4=mdot4,
mdot5=mdot5)
return dim_params
def working_line(self, T04_grid):
wline = []
params = self.initial_guess
for T04 in T04_grid:
sol = self.general_explicit_map({
'M_flight': 0,
'T04': T04
}, params)
params = sol.params
wline.append(params)
return wline
def thrust(self, **params):
gam_t = self.turbine.gam
R_t = self.R_t
MFP8 = min(params['MFP5'] * self.turbine.geom['A2'] / self.A8,
mach2mfp(1, gam_t))
mdot = params['MFP5'] * self.turbine.geom['A2'] * params[
'P05'] * gam_t**0.5 / (params['T05'] * R_t)**0.5
M8 = mfp2mach(MFP8, gam_t)
P8 = params['P05'] * (1 + (gam_t - 1) / 2 * M8**2)**(-gam_t /
(gam_t - 1))
mdot5 = params['MFP5'] * self.turbine.geom['A2'] * params[
'P05'] * gam_t**0.5 / (params['T05'] * R_t)**0.5
T8 = params['T05'] * (1 + (gam_t - 1) / 2 * M8**2)**(-1)
return mdot * M8 * (gam_t * R_t * T8)**0.5 + (
P8 - self.P01 /
(1 + (gam_t - 1) * params['M_flight']**2)**0.5) * self.A8
def ode_fun(self, t, y):
P4, mdot, omega = y
self.compressor.explicit_map(mdot, omega)
T04 = self.throtle(t, mdot, T03)
self.turbine.explicit_map(P4, omega)
P4_dot = a01**2 * (mdot - mdott)
mdotdot = A1 / Lc * (P3 - P4)
omega_dot = 1 / J * torque_t - torque_c
return P4_dot, mdotdot, omega_dot
def main():
"""Balance of plant of a boiling water nuclear reactor.
Attributes
----------
end_time: float
End of the flow time in SI unit.
time_step: float
Size of the time step between port communications in SI unit.
use_mpi: bool
If set to `True` use MPI otherwise use Python multiprocessing.
"""
# Preamble
end_time = 30 * unit.minute
time_step = 30.0 # seconds
show_time = (True, 5 * unit.minute)
use_mpi = False # True for MPI; False for Python multiprocessing
plot_results = True # True for enabling plotting section below
params = get_params() # parameters for BoP BWR
#*****************************************************************************
# Define Cortix system
# System top level
plant = Cortix(use_mpi=use_mpi, splash=True)
# Network
plant_net = plant.network = Network()
params['start-time'] = 0
params['end-time'] = end_time
#*****************************************************************************
# Create reactor module
reactor = BWR(params)
reactor.name = 'BWR'
reactor.save = True
reactor.time_step = time_step
reactor.end_time = end_time
reactor.show_time = show_time
# Add reactor module to network
plant_net.module(reactor)
#*****************************************************************************
# Create turbine 1 module
params['turbine_inlet_pressure'] = 2
params['turbine_outlet_pressure'] = 0.005
params['high_pressure_turbine'] = True
#params_turbine = reactor.params
#params_turbine.inlet_pressure = 2
#params.turbine_outlet_pressure = 0.5
turbine1 = Turbine(params)
turbine1.name = 'High Pressure Turbine'
turbine1.save = True
turbine1.time_step = time_step
turbine1.end_time = end_time
# Add turbine 1 module to network
plant_net.module(turbine1)
#*****************************************************************************
# Create condenser module
params['steam flowrate'] = params['steam flowrate'] * 2
condenser = Condenser(params)
condenser.name = 'Condenser'
condenser.save = True
condenser.time_step = time_step
condenser.end_time = end_time
plant_net.module(condenser)
#*****************************************************************************
# Create the BoP network connectivity
plant_net.connect([reactor, 'coolant-outflow'], [turbine1, 'inflow'])
plant_net.connect([turbine1, 'outflow-1'], [condenser, 'inflow-1'])
plant_net.connect([condenser, 'outflow'], [reactor, 'coolant-inflow'])
plant_net.draw()
#*****************************************************************************
# Run network dynamics simulation
plant.run()
#*****************************************************************************
# Plot results
if plot_results and (plant.use_multiprocessing or plant.rank == 0):
# Reactor plots
reactor = plant_net.modules[0]
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('neutron-dens')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('test-neutron-dens.png', dpi=300)
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('delayed-neutrons-cc')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('test-delayed-neutrons-cc.png', dpi=300)
(quant, time_unit
) = reactor.coolant_outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('test-coolant-outflow-temp.png', dpi=300)
(quant,
time_unit) = reactor.reactor_phase.get_quantity_history('fuel-temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('test-fuel-temp.png', dpi=300)
# Turbine1 plots
turbine1 = plant_net.modules[1]
(quant,
time_unit) = turbine1.outflow_phase.get_quantity_history('power')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='High Pressure Turbine Power')
plt.grid()
plt.savefig('test-turbine1-power.png', dpi=300)
(quant,
time_unit) = turbine1.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='High Pressure Turbine Outflow Temperature')
plt.grid()
plt.savefig('test-turbine1-outflow-temp.png', dpi=300)
# Condenser graphs
condenser = plant_net.modules[-1]
(quant,
time_unit) = condenser.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('test-condenser-outflow-temp.png', dpi=300)
# Properly shutdown simulation
plant.close()
from inlet import Inlet
from fan import Fan
from bypass import Bypass
from compressor import Compressor
from combustion import CombustionChamber
from spool import Spool
from turbine import Turbine
ambient_conditions = FlowCondition(corrected_mass_flow=1400.,
mach=0.8, t_static=216., p_static=22632., station_number='1', medium='air')
inlet = Inlet(ambient=ambient_conditions, eta=0.98)
fan = Fan(inflow=inlet.outflow, eta=0.92, pressure_ratio=1.6, station_number='21')
bypass = Bypass(inflow=fan.outflow, bypass_ratio=8.)
lpc = Compressor(inflow=bypass.outflow_core, eta=0.9, pressure_ratio=1.4, station_number='25')
hpc = Compressor(inflow=lpc.outflow, eta=0.9, pressure_ratio=19, station_number='3')
combustor = CombustionChamber(inflow=hpc.outflow, eta=0.99, pressure_ratio=0.96, t_total_exit=1450.)
lp_spool = Spool(compressor_in=(fan, lpc), eta=0.99)
hp_spool = Spool(compressor_in=hpc, eta=0.99)
hpt = Turbine(inflow=combustor.outflow, spool_in=hp_spool, eta=0.92, station_number='45')
lpt = Turbine(inflow=hpt.outflow, spool_in=lp_spool, eta=0.92, station_number='5')
nozzle_core = Nozzle(inflow=lpt.outflow, ambient=ambient_conditions, eta=0.98,
nozzle_type='convergent', station_number=('7', '8'))
nozzle_bypass = Nozzle(inflow=bypass.outflow_bypass, ambient=ambient_conditions, eta=0.98,
nozzle_type='convergent', station_number=('16', '18'))
print(nozzle_core.p_critical)
print(nozzle_core.choked)
print(nozzle_core.pressure_thrust)
# print(obj.p_total)
# print(obj.t_total)
import numpy as np
from numpy import pi, array, dot
import matplotlib.pylab as plt
import matplotlib.gridspec as gridspec
import dynamics
from turbine import Turbine
# Options
dynamics.OPT_GRAVITY = True
dynamics.OPT_GEOMETRIC_STIFFNESS = False
# Create model
bladed_file = r'C:\Users\Rick Lupton\Dropbox\phd\Bladed\Models\OC3-Hywind_SparBuoy_NREL5MW.prj'
tb = Turbine(bladed_file, rigid=False)
# Set base motion
tb.system.free(tb.base)
tb.system.prescribe(tb.base, acc=0, vel=0, part=[0,1,2,3,5])
# Define foundation matrix - no coupling for now
# Choose to match appropriate frequencies of rigid-body motion (Karimirad & Moan, 2012)
# in surge, sway, heave, roll, pitch yaw respectively
rigid_body_freqs = array([0.05, 0.05, 0.20, 0.22, 0.22, 0.84]) **2
foundation = np.diag([
tb.mass * rigid_body_freqs[0],
tb.mass * rigid_body_freqs[1],
tb.mass * rigid_body_freqs[2],
tb.inertia[0,0] * rigid_body_freqs[3],
tb.inertia[1,1] * rigid_body_freqs[4],
def main():
# Debugging
make_plots = False
make_run = False
# Preamble
end_time = 75 * unit.minute
time_step = 1.5 * unit.second
show_time = (True, 5 * unit.minute)
plant = Cortix(use_mpi=False, splash=True) # System top level
plant_net = plant.network = Network() # Network
# Reactor
reactor = SMPWR() # Create reactor module
reactor.name = "SM-PWR"
reactor.shutdown = (True, 60 * unit.minute)
plant_net.module(reactor) # Add reactor module to network
# Steamer
steamer = Steamer() # Create reactor module
plant_net.module(steamer) # Add steamer module to network
# Turbine
turbine = Turbine() # Create reactor module
plant_net.module(turbine) # Add steamer module to network
'''Condenser'''
condenser = Condenser() # Create condenser module
plant_net.module(condenser) # Add condenser module to network`
'''Feedwater Heating system'''
water_heater = WaterHeater() # Create water_heater module
water_heater.malfunction = (True, 30 * unit.minute, 45 * unit.minute)
plant_net.module(water_heater) # Add water_heater module to network
# Balance of Plant Network Connectivity
plant_net.connect([reactor, 'coolant-outflow'],
[steamer, 'primary-inflow'])
plant_net.connect([steamer, 'primary-outflow'],
[reactor, 'coolant-inflow'])
plant_net.connect([steamer, 'secondary-outflow'], [turbine, 'inflow'])
plant_net.connect([turbine, 'outflow'], [condenser, 'inflow'])
plant_net.connect([turbine, 'process-heat'],
[water_heater, 'external-heat'])
plant_net.connect([condenser, 'outflow'], [water_heater, 'inflow'])
plant_net.connect([water_heater, 'outflow'], [steamer, 'secondary-inflow'])
plant_net.draw(engine='circo', node_shape='folder')
# Run
if make_run:
for module in plant_net.modules:
module.time_step = time_step
module.end_time = end_time
module.show_time = show_time
plant.run() # Run network dynamics simulation
# Cortix run closure
plant.close() # Properly shutdow plant
# Plots
if make_plots and plant.use_multiprocessing or plant.rank == 0:
# Reactor plots
reactor = plant_net.modules[0]
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('neutron-dens')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / max(quant.value),
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-neutron-dens.png', dpi=300)
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('delayed-neutrons-cc')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-delayed-neutrons-cc.png', dpi=300)
(quant, time_unit
) = reactor.coolant_outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('reactor-coolant-outflow-temp.png', dpi=300)
(quant,
time_unit) = reactor.state_phase.get_quantity_history('core-temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('reactor-core-temp.png', dpi=300)
(quant, time_unit) = reactor.state_phase.get_quantity_history('power')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.mega,
x_label='Time [m]',
y_label=quant.latex_name + ' [M' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-power.png', dpi=300)
(quant,
time_unit) = reactor.state_phase.get_quantity_history('reynolds')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.mega,
x_label='Time [m]',
y_label=quant.latex_name + r' [$\times 10^6$' + quant.unit +
']')
plt.grid()
plt.savefig('reactor-reynolds.png', dpi=300)
(quant,
time_unit) = reactor.state_phase.get_quantity_history('prandtl')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + r' [' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-prandtl.png', dpi=300)
(quant, time_unit
) = reactor.coolant_outflow_phase.get_quantity_history('flowrate')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + r' [' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-flowrate.png', dpi=300)
(quant,
time_unit) = reactor.state_phase.get_quantity_history('heatflux')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.mega,
x_label='Time [m]',
y_label=quant.latex_name + ' [M' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-heatflux.png', dpi=300)
(quant,
time_unit) = reactor.state_phase.get_quantity_history('inlet-temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('reactor-coolant-inflow-temp.png', dpi=300)
(quant,
time_unit) = reactor.state_phase.get_quantity_history('nusselt')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-nusselt.png', dpi=300)
(quant, time_unit) = reactor.state_phase.get_quantity_history('tau')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-coolant-tau.png', dpi=300)
(quant, time_unit
) = reactor.coolant_outflow_phase.get_quantity_history('quality')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + r' [' + quant.unit + ']')
plt.grid()
plt.savefig('reactor-coolant-outflow-quality.png', dpi=300)
# Steamer plots
steamer = plant_net.modules[1]
(quant, time_unit
) = steamer.primary_outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('steamer-primary-outflow-temp.png', dpi=300)
(quant, time_unit
) = steamer.secondary_inflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('steamer-secondary-inflow-temp.png', dpi=300)
(quant, time_unit
) = steamer.secondary_inflow_phase.get_quantity_history('flowrate')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-secondary-inflow-flowrate.png', dpi=300)
(quant, time_unit
) = steamer.secondary_outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('steamer-secondary-outflow-temp.png', dpi=300)
(quant, time_unit
) = steamer.secondary_outflow_phase.get_quantity_history('flowrate')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-secondary-outflow-flowrate.png', dpi=300)
(quant, time_unit) = steamer.state_phase.get_quantity_history('tau_p')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-primary-tau.png', dpi=300)
(quant, time_unit) = steamer.state_phase.get_quantity_history('tau_s')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-secondary-tau.png', dpi=300)
(quant, time_unit
) = steamer.secondary_outflow_phase.get_quantity_history('quality')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-secondary-quality.png', dpi=300)
(quant,
time_unit) = steamer.state_phase.get_quantity_history('heatflux')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.kilo,
x_label='Time [m]',
y_label=quant.latex_name + ' [k' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-heatflux.png', dpi=300)
(quant,
time_unit) = steamer.state_phase.get_quantity_history('nusselt_p')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-nusselt_p.png', dpi=300)
(quant,
time_unit) = steamer.state_phase.get_quantity_history('nusselt_s')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('steamer-nusselt_s.png', dpi=300)
# Turbine plots
turbine = plant_net.modules[2]
(quant, time_unit) = turbine.state_phase.get_quantity_history('power')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.mega,
x_label='Time [m]',
y_label=quant.latex_name + ' [M' + quant.unit + ']')
plt.grid()
plt.savefig('turbine-power.png', dpi=300)
(quant, time_unit) = turbine.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('turbine-outflow-temp.png', dpi=300)
(quant,
time_unit) = turbine.state_phase.get_quantity_history('rejected-heat')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.mega,
x_label='Time [m]',
y_label=quant.latex_name + ' [M' + quant.unit + ']')
plt.grid()
plt.savefig('turbine-rejected-heat.png', dpi=300)
# Condenser plots
condenser = plant_net.modules[3]
(quant,
time_unit) = condenser.inflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('condenser-inflow-temp.png', dpi=300)
(quant,
time_unit) = condenser.inflow_phase.get_quantity_history('flowrate')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('condenser-inflow-flowrate.png', dpi=300)
(quant,
time_unit) = condenser.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('condenser-outflow-temp.png', dpi=300)
# Water heater plots
water_heater = plant_net.modules[4]
(quant,
time_unit) = water_heater.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
y_shift=273.15,
x_label='Time [m]',
y_label=quant.latex_name + ' [C]')
plt.grid()
plt.savefig('water_heater-outflow-temp.png', dpi=300)
(quant, time_unit
) = water_heater.outflow_phase.get_quantity_history('flowrate')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + r' [' + quant.unit + ']')
plt.grid()
plt.savefig('water_heater-flowrate.png', dpi=300)
(quant, time_unit
) = water_heater.inflow_phase.get_quantity_history('external-heat')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.mega,
x_label='Time [m]',
y_label=quant.latex_name + r' [M' + quant.unit + ']')
plt.grid()
plt.savefig('water_heater-external-heat.png', dpi=300)
(quant, time_unit
) = water_heater.outflow_phase.get_quantity_history('rejected-heat')
quant.plot(x_scaling=1 / unit.minute,
y_scaling=1 / unit.mega,
x_label='Time [m]',
y_label=quant.latex_name + r' [M' + quant.unit + ']')
plt.grid()
plt.savefig('water_heater-rejected-heat.png', dpi=300)
def main():
"""Balance of plant of a boiling water nuclear reactor.
Attributes
----------
end_time: float
End of the flow time in SI unit.
time_step: float
Size of the time step between port communications in SI unit.
use_mpi: bool
If set to `True` use MPI otherwise use Python multiprocessing.
"""
# Preamble
end_time = 30.0 * unit.minute
time_step = 30.0 # seconds
show_time = (True, 5 * unit.minute)
use_mpi = False # True for MPI; False for Python multiprocessing
plot_results = True # True for enabling plotting section below
params = get_params() # parameters for BoP BWR
#*****************************************************************************
# Define Cortix system
# System top level
plant = Cortix(use_mpi=use_mpi, splash=True)
# Network
plant_net = plant.network = Network()
params['start-time'] = 0.0
params['end-time'] = end_time
params['shutdown-time'] = 999.0 * unit.hour
params['shutdown-mode'] = False
#*****************************************************************************
# Create reactor module
reactor = BWR(params)
reactor.name = 'BWR'
reactor.save = True
reactor.time_step = time_step
reactor.end_time = end_time
reactor.show_time = show_time
reactor.RCIS = True
# Add reactor module to network
plant_net.module(reactor)
#*****************************************************************************
# Create turbine high pressure module
params['turbine_inlet_pressure'] = 2
params['turbine_outlet_pressure'] = 0.5
params['high_pressure_turbine'] = True
#params_turbine = reactor.params
#params_turbine.inlet_pressure = 2
#params.turbine_outlet_pressure = 0.5
turbine_hp = Turbine(params)
turbine_hp.name = 'High Pressure Turbine'
turbine_hp.save = True
turbine_hp.time_step = time_step
turbine_hp.end_time = end_time
# Add turbine high pressure module to network
plant_net.module(turbine_hp)
#*****************************************************************************
# Create turbine low pressure module
params['turbine_inlet_pressure'] = 0.5
params['turbine_outlet_pressure'] = 0.005
params['high_pressure_turbine'] = False
params['steam flowrate'] = params['steam flowrate'] / 2
turbine_lp1 = Turbine(params)
turbine_lp1.name = 'Low Pressure Turbine 1'
turbine_lp1.save = True
turbine_lp1.time_step = time_step
turbine_lp1.end_time = end_time
plant_net.module(turbine_lp1)
#*****************************************************************************
# Create turbine low pressure module
params['turbine_inlet_pressure'] = 0.5
params['turbine_outlet_pressure'] = 0.005
params['high_pressure_turbine'] = False
turbine_lp2 = Turbine(params)
turbine_lp2.name = 'Low Pressure Turbine 2'
turbine_lp2.save = True
turbine_lp2.time_step = time_step
turbine_lp2.end_time = end_time
plant_net.module(turbine_lp2)
#*****************************************************************************
# Create condenser module
params['steam flowrate'] = params['steam flowrate'] * 2
condenser = Condenser()
condenser.name = 'Condenser'
condenser.save = True
condenser.time_step = time_step
condenser.end_time = end_time
plant_net.module(condenser)
#*****************************************************************************
params['RCIS-shutdown-time'] = 5 * unit.minute
rcis = Cooler(params)
rcis.name = 'RCIS'
rcis.save = True
rcis.time_step = time_step
rcis.end_time = end_time
plant_net.module(rcis)
#*****************************************************************************
# Create the BoP network connectivity
plant_net.connect([reactor, 'coolant-outflow'], [turbine_hp, 'inflow'])
plant_net.connect([turbine_hp, 'outflow-1'], [turbine_lp1, 'inflow'])
plant_net.connect([turbine_hp, 'outflow-2'], [turbine_lp2, 'inflow'])
plant_net.connect([turbine_lp1, 'outflow-1'], [condenser, 'inflow-1'])
plant_net.connect([turbine_lp2, 'outflow-1'], [condenser, 'inflow-2'])
plant_net.connect([condenser, 'outflow'], [reactor, 'coolant-inflow'])
plant_net.connect([reactor, 'RCIS-outflow'], [rcis, 'coolant-inflow'])
plant_net.connect([rcis, 'coolant-outflow'], [reactor, 'RCIS-inflow'])
#plant_net.connect([rcis, 'signal-in'], [reactor, 'signal-out'])
plant_net.draw(engine='dot', node_shape='folder')
#*****************************************************************************
# Run network dynamics simulation
plant.run()
#*****************************************************************************
# Plot results
if plot_results and (plant.use_multiprocessing or plant.rank == 0):
# Reactor plots
reactor = plant_net.modules[0]
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('neutron-dens')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('startup-neutron-dens.png', dpi=300)
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('delayed-neutrons-cc')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('startup-delayed-neutrons-cc.png', dpi=300)
(quant, time_unit
) = reactor.coolant_outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('startup-coolant-outflow-temp.png', dpi=300)
(quant,
time_unit) = reactor.reactor_phase.get_quantity_history('fuel-temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('startup-fuel-temp.png', dpi=300)
# Turbine high pressure plots
turbine_hp = plant_net.modules[1]
(quant,
time_unit) = turbine_hp.outflow_phase.get_quantity_history('power')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='High Pressure Turbine Power')
plt.grid()
plt.savefig('startup-turbine-hp-power.png', dpi=300)
(quant,
time_unit) = turbine_hp.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='High Pressure Turbine Outflow Temperature')
plt.grid()
plt.savefig('startup-turbine-hp-outflow-temp.png', dpi=300)
# Turbine low pressure graphs
turbine_lp1 = plant_net.modules[2]
(quant,
time_unit) = turbine_lp1.outflow_phase.get_quantity_history('power')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='Lower Pressure Turbine 1 Power')
plt.grid()
plt.savefig('startup-turbine-lp1-power.png', dpi=300)
(quant,
time_unit) = turbine_lp1.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='Lower Pressure Turbine 1 Outflow Temperature')
plt.grid()
plt.savefig('startup-turbine-lp1-outflow-temp.png', dpi=300)
# Condenser graphs
condenser = plant_net.modules[3]
(quant,
time_unit) = condenser.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('startup-condenser-outflow-temp.png', dpi=300)
#setup initial values for simulation
turbine1_outflow_temp = turbine_hp.outflow_phase.get_value(
'temp', end_time)
turbine1_chi = turbine_hp.outflow_phase.get_value('quality', end_time)
turbine1_power = turbine_hp.outflow_phase.get_value('power', end_time)
turbine2_outflow_temp = turbine_lp1.outflow_phase.get_value(
'temp', end_time)
turbine2_chi = turbine_lp1.outflow_phase.get_value('quality', end_time)
turbine2_power = turbine_lp1.outflow_phase.get_value('power', end_time)
condenser_runoff_temp = condenser.outflow_phase.get_value('temp', end_time)
delayed_neutron_cc = reactor.neutron_phase.get_value(
'delayed-neutrons-cc', end_time)
n_dens = reactor.neutron_phase.get_value('neutron-dens', end_time)
fuel_temp = reactor.reactor_phase.get_value('fuel-temp', end_time)
coolant_temp = reactor.coolant_outflow_phase.get_value('temp', end_time)
# Values loaded into params when they are needed (module instantiation)
# Properly shutdown simulation
plant.close()
# Now we run shutdown as a seperate simulation with starting parameters equal to the ending
# values of the startup simulation
#**************************************************************************************************
# Preamble
start_time = 0.0 * unit.minute
end_time = 60 * unit.minute
time_step = 30.0 # seconds
show_time = (True, 5 * unit.minute)
use_mpi = False # True for MPI; False for Python multiprocessing
plot_results = True # True for enabling plotting section below
params = get_params() # clear params, just to be safe
#*****************************************************************************
# Define Cortix system
# System top level
plant = Cortix(use_mpi=use_mpi, splash=True)
# Network
plant_net = plant.network = Network()
params['start-time'] = start_time
params['end-time'] = end_time
params['shutdown time'] = 0.0
params['shutdown-mode'] = True
#*****************************************************************************
# Create reactor module
params['delayed-neutron-cc'] = delayed_neutron_cc
params['n-dens'] = n_dens
params['fuel-temp'] = fuel_temp
params['coolant-temp'] = coolant_temp
params['operating-mode'] = 'shutdown'
reactor = BWR(params)
reactor.name = 'BWR'
reactor.save = True
reactor.time_step = time_step
reactor.end_time = end_time
reactor.show_time = show_time
reactor.RCIS = False
# Add reactor module to network
plant_net.module(reactor)
#*****************************************************************************
# Create turbine high pressure module
params['turbine_inlet_pressure'] = 2
params['turbine_outlet_pressure'] = 0.5
params['high_pressure_turbine'] = True
params['turbine-outflow-temp'] = turbine1_outflow_temp
params['turbine-chi'] = turbine1_chi
params['turbine-work'] = turbine1_power
params['turbine-inflow-temp'] = coolant_temp
#params_turbine = reactor.params
#params_turbine.inlet_pressure = 2
#params.turbine_outlet_pressure = 0.5
turbine_hp = Turbine(params)
turbine_hp.name = 'High Pressure Turbine'
turbine_hp.save = True
turbine_hp.time_step = time_step
turbine_hp.end_time = end_time
# Add turbine high pressure module to network
plant_net.module(turbine_hp)
#*****************************************************************************
# Create turbine low pressure 1 module
params['turbine_inlet_pressure'] = 0.5
params['turbine_outlet_pressure'] = 0.005
params['high_pressure_turbine'] = False
params['steam flowrate'] = params['steam flowrate'] / 2
params['turbine-outflow-temp'] = turbine2_outflow_temp
params['turbine-inflow-temp'] = turbine1_outflow_temp
params['turbine-chi'] = turbine2_chi
params['turbine-work'] = turbine2_power
turbine_lp1 = Turbine(params)
turbine_lp1.name = 'Low Pressure Turbine 1'
turbine_lp1.save = True
turbine_lp1.time_step = time_step
turbine_lp1.end_time = end_time
plant_net.module(turbine_lp1)
#*****************************************************************************
# Create turbine low pressure 2 module
params['turbine_inlet_pressure'] = 0.5
params['turbine_outlet_pressure'] = 0.005
params['high_pressure_turbine'] = False
turbine_lp2 = Turbine(params)
turbine_lp2.name = 'Low Pressure Turbine 2'
turbine_lp2.save = True
turbine_lp2.time_step = time_step
turbine_lp2.end_time = end_time
plant_net.module(turbine_lp2)
#*****************************************************************************
# Create condenser module
params['steam flowrate'] = params['steam flowrate'] * 2
params['condenser-runoff-temp'] = condenser_runoff_temp
condenser = Condenser()
condenser.name = 'Condenser'
condenser.save = True
condenser.time_step = time_step
condenser.end_time = end_time
plant_net.module(condenser)
#*****************************************************************************
params['RCIS-shutdown-time'] = -1 * unit.minute
rcis = Cooler(params)
rcis.name = 'RCIS'
rcis.save = True
rcis.time_step = time_step
rcis.end_time = end_time
plant_net.module(rcis)
#*****************************************************************************
# Create the BoP network connectivity
plant_net.connect([reactor, 'coolant-outflow'], [turbine_hp, 'inflow'])
plant_net.connect([turbine_hp, 'outflow-1'], [turbine_lp1, 'inflow'])
plant_net.connect([turbine_hp, 'outflow-2'], [turbine_lp2, 'inflow'])
plant_net.connect([turbine_lp1, 'outflow-1'], [condenser, 'inflow-1'])
plant_net.connect([turbine_lp2, 'outflow-1'], [condenser, 'inflow-2'])
plant_net.connect([condenser, 'outflow'], [reactor, 'coolant-inflow'])
plant_net.connect([reactor, 'RCIS-outflow'], [rcis, 'coolant-inflow'])
plant_net.connect([rcis, 'coolant-outflow'], [reactor, 'RCIS-inflow'])
#plant_net.connect([rcis, 'signal-in'], [reactor, 'signal-out'])
plant_net.draw(engine='dot', node_shape='folder')
#*****************************************************************************
# Run network dynamics simulation
plant.run()
#*****************************************************************************
# Plot results
if plot_results and (plant.use_multiprocessing or plant.rank == 0):
# Reactor plots
reactor = plant_net.modules[0]
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('neutron-dens')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('shutdown-neutron-dens.png', dpi=300)
(quant, time_unit
) = reactor.neutron_phase.get_quantity_history('delayed-neutrons-cc')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('shutdown-delayed-neutrons-cc.png', dpi=300)
(quant, time_unit
) = reactor.coolant_outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('shutdown-coolant-outflow-temp.png', dpi=300)
(quant,
time_unit) = reactor.reactor_phase.get_quantity_history('fuel-temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('shutdown-fuel-temp.png', dpi=300)
# Turbine high pressure plots
turbine_hp = plant_net.modules[1]
(quant,
time_unit) = turbine_hp.outflow_phase.get_quantity_history('power')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='High Pressure Turbine Power')
plt.grid()
plt.savefig('shutdown-turbine-hp-power.png', dpi=300)
(quant,
time_unit) = turbine_hp.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='High Pressure Turbine Outflow Temperature')
plt.grid()
plt.savefig('shutdown-turbine-hp-outflow-temp.png', dpi=300)
# Turbine low pressure graphs
turbine_lp1 = plant_net.modules[2]
(quant,
time_unit) = turbine_lp1.outflow_phase.get_quantity_history('power')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='Lower Pressure Turbine 1 Power')
plt.grid()
plt.savefig('shutdown-turbine-lp1-power.png', dpi=300)
(quant,
time_unit) = turbine_lp1.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']',
title='Lower Pressure Turbine 1 Outflow Temperature')
plt.grid()
plt.savefig('shutdown-turbine-lp1-outflow-temp.png', dpi=300)
# Condenser graphs
condenser = plant_net.modules[4]
(quant,
time_unit) = condenser.outflow_phase.get_quantity_history('temp')
quant.plot(x_scaling=1 / unit.minute,
x_label='Time [m]',
y_label=quant.latex_name + ' [' + quant.unit + ']')
plt.grid()
plt.savefig('shutdown-condenser-outflow-temp.png', dpi=300)
# Shutdown The Simulation
plant.close()
def __init__(self, dialog, anobject, scenarios=None):
super(AnObject, self).__init__()
self.get_config()
self.anobject = anobject
if scenarios is not None:
self.scenarios = []
for i in range(len(scenarios)):
if scenarios[i][0] != 'Existing':
self.scenarios.append(scenarios[i][0])
if len(self.scenarios) < 2:
self.scenarios = None
else:
self.scenarios = None
dialog.setObjectName('Dialog')
self.save = False
self.field = ['name', 'technology', 'lat', 'lon', 'capacity', 'turbine', 'rotor',
'no_turbines', 'area', 'scenario', 'power_file', 'grid_line', 'storage_hours',
'direction', 'tilt', 'zone']
self.label = []
self.edit = []
self.field_type = []
metrics = []
widths = [0, 0]
heights = 0
self.turbines = [['', '', 0., 0.]]
# name, class, rotor, size
# self.turbine_class = ['']
grid = QtWidgets.QGridLayout()
turbcombo = QtWidgets.QComboBox(self)
if os.path.exists(self.sam_file):
sam = open(self.sam_file)
sam_turbines = csv.DictReader(sam)
for turb in sam_turbines:
if turb['Name'] == 'Units' or turb['Name'] == '[0]':
pass
else:
self.turbines.append([turb['Name'].strip(), '', turb['Rotor Diameter'], float(turb['KW Rating'])])
if turb['IEC Wind Speed Class'] in ['', ' ', '0', 'Unknown', 'unknown', 'not listed']:
pass
else:
cls = turb['IEC Wind Speed Class'].replace('|', ', ')
cls.replace('Class ', '')
self.turbines[-1][1] = 'Class: ' + cls
sam.close()
if os.path.exists(self.pow_dir):
pow_files = os.listdir(self.pow_dir)
for name in pow_files:
if name[-4:] == '.pow':
turb = Turbine(name[:-4])
if name == 'Enercon E40.pow':
size = 600.
else:
size = 0.
bits = name.lower().split('kw')
if len(bits) > 1:
bit = bits[0].strip()
for i in range(len(bit) -1, -1, -1):
if not bit[i].isdigit() and not bit[i] == '.':
break
size = float(bit[i + 1:])
else:
bits = name.lower().split('mw')
if len(bits) > 1:
bit = bits[0].strip()
for i in range(len(bit) -1, -1, -1):
if not bit[i].isdigit() and not bit[i] == '.':
break
size = float(bit[i + 1:]) * 1000
else:
for i in range(len(name) -4, -1, -1):
if not name[i].isdigit() and not name[i] == '.':
break
try:
size = float(name[i + 1: -4])
except:
pass
self.turbines.append([name[:-4], '', str(turb.rotor), size])
self.turbines.sort()
self.turbines_sorted = True
got_turbine = False
j = 0 # in case no Vestas V90-2.0
for i in range(len(self.turbines)):
if self.turbines[i][0] == 'Vestas V90-2.0':
j = i
turbcombo.addItem(self.turbines[i][0])
if self.turbines[i][0] == self.anobject.turbine:
turbcombo.setCurrentIndex(i)
if self.turbines[i][0] != '':
got_turbine = True
if not got_turbine:
turbcombo.setCurrentIndex(j)
techcombo = QtWidgets.QComboBox(self)
for i in range(len(self.technologies)):
techcombo.addItem(self.technologies[i])
if self.technologies[i] == self.anobject.technology:
techcombo.setCurrentIndex(i)
if self.scenarios is not None:
scencombo = QtWidgets.QComboBox(self)
for i in range(len(self.scenarios)):
scencombo.addItem(self.scenarios[i])
if self.scenarios[i] == self.anobject.scenario:
scencombo.setCurrentIndex(i)
for i in range(len(self.field)):
if self.field[i] == 'turbine':
self.label.append(ClickableQLabel(self.field[i].title() + ': (Name order)'))
self.label[-1].setStyleSheet("background-color: white; border: 1px inset grey; min-height: 22px; border-radius: 4px;")
self.label[-1].clicked.connect(self.turbineSort)
else:
self.label.append(QtWidgets.QLabel(self.field[i].title() + ':'))
if i == 0:
metrics.append(self.label[-1].fontMetrics())
if metrics[0].boundingRect(self.label[-1].text()).width() > widths[0]:
widths[0] = metrics[0].boundingRect(self.label[-1].text()).width()
grid.addWidget(self.label[-1], i + 1, 0)
self.capacity_was = 0.0
self.no_turbines_was = 0
self.turbine_was = ''
self.turbine_classd = QtWidgets.QLabel('')
self.show_hide = {}
units = {'area': 'sq. Km', 'capacity': 'MW'}
for i in range(len(self.field)):
try:
attr = getattr(self.anobject, self.field[i])
except:
attr = ''
if isinstance(attr, int):
self.field_type.append('int')
elif isinstance(attr, float):
self.field_type.append('float')
else:
self.field_type.append('str')
if self.field[i] == 'name':
self.name = attr
self.edit.append(QtWidgets.QLineEdit(self.name))
metrics.append(self.label[-1].fontMetrics())
elif self.field[i] == 'technology':
self.techcomb = techcombo
self.edit.append(self.techcomb)
self.techcomb.currentIndexChanged.connect(self.technologyChanged)
elif self.field[i] == 'lat':
self.lat = attr
self.edit.append(QtWidgets.QLineEdit(str(self.lat)))
elif self.field[i] == 'lon':
self.lon = attr
self.edit.append(QtWidgets.QLineEdit(str(self.lon)))
elif self.field[i] == 'capacity':
self.capacity = attr
self.capacity_was = attr
self.edit.append(QtWidgets.QDoubleSpinBox()) # QtWidgets.QLineEdit(str(self.capacity)))
self.edit[-1].setRange(0, 10000)
self.edit[-1].setValue(self.capacity)
self.edit[-1].setDecimals(3)
elif self.field[i] == 'turbine':
if self.techcomb.currentText().find('Wind') < 0 \
and self.techcomb.currentText().find('Offshore') < 0 \
and self.techcomb.currentText() != '':
turbcombo.setCurrentIndex(0)
self.turbine = turbcombo
self.turbines_was = turbcombo
self.show_hide['turbine'] = len(self.edit)
self.edit.append(self.turbine)
self.turbine_classd.setText(self.turbines[turbcombo.currentIndex()][1])
self.turbine.currentIndexChanged.connect(self.turbineChanged)
grid.addWidget(self.turbine_classd, i + 1, 2)
elif self.field[i] == 'rotor':
self.rotor = attr
self.show_hide['rotor'] = len(self.edit)
self.edit.append(QtWidgets.QLineEdit(str(self.rotor)))
self.edit[-1].setEnabled(False)
self.curve = QtWidgets.QPushButton('Show Power Curve', self)
grid.addWidget(self.curve, i + 1, 2)
self.curve.clicked.connect(self.curveClicked)
elif self.field[i] == 'no_turbines':
self.no_turbines = attr
self.no_turbines_was = attr
self.show_hide['no_turbines'] = len(self.edit)
self.edit.append(QtWidgets.QSpinBox()) # QtWidgets.QLineEdit(str(self.no_turbines)))
self.edit[-1].setRange(0, 299)
if self.no_turbines == '':
self.edit[-1].setValue(0)
else:
self.edit[-1].setValue(int(self.no_turbines))
elif self.field[i] == 'area':
self.area = attr
self.edit.append(QtWidgets.QLineEdit(str(self.area)))
self.edit[-1].setEnabled(False)
elif self.field[i] == 'scenario':
self.scenario = attr
if self.scenarios is None:
self.edit.append(QtWidgets.QLineEdit(self.scenario))
self.edit[-1].setEnabled(False)
else:
self.scencomb = scencombo
self.scencomb.currentIndexChanged.connect(self.scenarioChanged)
self.edit.append(self.scencomb)
elif self.field[i] == 'power_file':
self.power_file = attr
self.edit.append(QtWidgets.QLineEdit(self.power_file))
elif self.field[i] == 'grid_line':
self.grid_line = attr
if attr is not None:
self.edit.append(QtWidgets.QLineEdit(self.grid_line))
else:
self.edit.append(QtWidgets.QLineEdit(''))
elif self.field[i] == 'storage_hours':
self.storage_hours = attr
self.show_hide['storage_hours'] = len(self.edit)
if attr is not None:
self.edit.append(QtWidgets.QLineEdit(str(self.storage_hours)))
else:
try:
if self.techcomb.currentText() == 'CST':
self.edit.append(QtWidgets.QLineEdit(str(self.cst_tshours)))
else:
self.edit.append(QtWidgets.QLineEdit(str(self.st_tshours)))
except:
pass
elif self.field[i] == 'direction':
self.direction = attr
self.show_hide['direction'] = len(self.edit)
if attr is not None:
self.edit.append(QtWidgets.QLineEdit(str(self.direction)))
else:
self.edit.append(QtWidgets.QLineEdit(''))
elif self.field[i] == 'tilt':
self.tilt = attr
self.show_hide['tilt'] = len(self.edit)
if attr is not None:
self.edit.append(QtWidgets.QLineEdit(str(self.tilt)))
else:
self.edit.append(QtWidgets.QLineEdit(''))
elif self.field[i] == 'zone':
self.zone = attr
self.show_hide['zone'] = len(self.edit)
if attr is not None:
self.edit.append(QtWidgets.QLineEdit(str(self.zone)))
else:
self.edit.append(QtWidgets.QLineEdit(''))
self.edit[-1].setEnabled(False)
try:
if metrics[1].boundingRect(self.edit[-1].text()).width() > widths[1]:
widths[1] = metrics[1].boundingRect(self.edit[-1].text()).width()
except:
pass
grid.addWidget(self.edit[-1], i + 1, 1)
if self.field[i] in list(units.keys()):
grid.addWidget(QtWidgets.QLabel(units[self.field[i]]), i + 1, 2)
self.technologyChanged(self.techcomb.currentIndex)
grid.setColumnMinimumWidth(0, widths[0] + 10)
grid.setColumnMinimumWidth(1, widths[1] + 10)
grid.setColumnMinimumWidth(2, 30)
i += 1
self.message = QtWidgets.QLabel('')
msg_font = self.message.font()
msg_font.setBold(True)
self.message.setFont(msg_font)
msg_palette = QtGui.QPalette()
msg_palette.setColor(QtGui.QPalette.Foreground, QtCore.Qt.red)
self.message.setPalette(msg_palette)
grid.addWidget(self.message, i + 1, 0, 1, 2)
i += 1
quit = QtWidgets.QPushButton("Quit", self)
grid.addWidget(quit, i + 1, 0)
quit.clicked.connect(self.quitClicked)
save = QtWidgets.QPushButton("Save && Exit", self)
grid.addWidget(save, i + 1, 1)
save.clicked.connect(self.saveClicked)
self.setLayout(grid)
self.resize(widths[0] + widths[1] + 40, heights * i)
self.setWindowTitle('SIREN - Edit ' + getattr(self.anobject, '__module__'))
QtWidgets.QShortcut(QtGui.QKeySequence("q"), self, self.quitClicked)
import dynamics
from turbine import Turbine
# Turn off gravity
dynamics.OPT_GRAVITY = True
dynamics.OPT_GEOMETRIC_STIFFNESS = True
# Parameters
pitch_freq = 0.3 # rad/s
pitch_amp = 0.3 # rad
rotor_speed = 2 # rad/s
# Create model
bladed_file = r'C:\Users\Rick Lupton\Dropbox\phd\Bladed\Models\OC3-Hywind_SparBuoy_NREL5MW.prj'
tb = Turbine(bladed_file)
# Linearise model and simulate
lin = tb.lin(az0=0, rotor_speed=rotor_speed, init=True)
t,yl = lin.integrate(90)
# Convert to MBC and simulate
mbclin = lin.multiblade_transform((0, rotor_speed), [range(0,4),range(4,8),range(8,12)])
t,ym = mbclin.integrate(90)
# Simulate original full system
#t,y = tb.simulate(rotor_speed=2, t1=90, dt=0.10, init=True)
def mbc(az, u):
N = len(az)
def saveClicked(self):
for i in range(len(self.field)):
try:
if not self.edit[i].isEnabled():
continue
except:
continue
self.edit[i].setFocus()
if isinstance(self.edit[i], QtWidgets.QLineEdit):
if self.field[i] == 'direction' and 'PV' in self.technology:
try:
setattr(self, self.field[i], int(self.edit[i].text()))
if self.direction < 0:
self.direction = 360 + self.direction
if self.direction > 360:
self.message.setText('Error with ' + self.field[i].title() + ' field')
return
except:
setattr(self, self.field[i], self.edit[i].text())
if self.direction.upper() in ['', 'N', 'NNE', 'NE', 'ENE', 'E', 'ESE',
'SE', 'SSE', 'S', 'SSW', 'SW',
'WSW', 'W', 'WNW', 'NW', 'NNW']:
self.direction = self.direction.upper()
else:
self.message.setText('Error with ' + self.field[i].title() + ' field')
return
if self.field[i] == 'tilt' and 'PV' in self.technology:
try:
setattr(self, self.field[i], float(self.edit[i].text()))
if self.tilt < -180. or self.tilt > 180.:
self.message.setText('Error with ' + self.field[i].title() + ' field')
return
except:
pass
elif self.field_type[i] == 'int':
try:
setattr(self, self.field[i], int(self.edit[i].text()))
except:
self.message.setText('Error with ' + self.field[i].title() + ' field')
return
elif self.field_type[i] == 'float':
try:
setattr(self, self.field[i], float(self.edit[i].text()))
if self.field[i] == 'lon':
if self.lon < self.upper_left[1]:
self.message.setText('Error with ' + self.field[i].title() + ' field. Too far west')
return
elif self.lon > self.lower_right[1]:
self.message.setText('Error with ' + self.field[i].title() + ' field. Too far east')
return
elif self.field[i] == 'lat':
if self.lat > self.upper_left[0]:
self.message.setText('Error with ' + self.field[i].title() + ' field. Too far north')
return
elif self.lat < self.lower_right[0]:
self.message.setText('Error with ' + self.field[i].title() + ' field. Too far south')
return
except:
self.message.setText('Error with ' + self.field[i].title() + ' field')
return
elif self.field[i] == 'grid_line':
if self.edit[i].text() == '':
setattr(self, self.field[i], None)
else:
setattr(self, self.field[i], self.edit[i].text())
else:
setattr(self, self.field[i], self.edit[i].text())
elif isinstance(self.edit[i], QtWidgets.QComboBox):
setattr(self, self.field[i], self.edit[i].currentText())
if self.field[i] == 'technology' and self.edit[i].currentText() == '':
self.message.setText('Error with ' + self.field[i].title() + '. Choose technology')
return
elif isinstance(self.edit[i], QtWidgets.QDoubleSpinBox):
setattr(self, self.field[i], self.edit[i].value())
elif isinstance(self.edit[i], QtWidgets.QSpinBox):
setattr(self, self.field[i], self.edit[i].value())
if self.technology.find('Wind') < 0 and self.technology.find('Offshore') < 0:
self.rotor = 0.0
self.turbine == ''
if self.technology == 'Biomass':
self.area = self.areas[self.technology] * float(self.capacity)
elif 'PV' in self.technology:
self.area = self.areas[self.technology] * float(self.capacity)
elif self.technology.find('Wind') >= 0 or self.technology.find('Offshore') >= 0:
if self.turbine == '':
self.edit[5].setFocus()
self.message.setText('Error with ' + self.field[5].title() + '. Choose turbine')
return
turbine = Turbine(self.turbine)
if self.capacity != self.capacity_was or \
(self.turbine != self.turbine_was and self.no_turbines == self.no_turbines_was):
self.no_turbines = int(round((self.capacity * 1000.) / turbine.capacity))
self.capacity = self.no_turbines * turbine.capacity / 1000. # reduce from kW to MW
self.rotor = turbine.rotor
self.area = self.areas[self.technology] * float(self.no_turbines) * pow((self.rotor * .001), 2)
elif self.technology in ['CST', 'Solar Thermal']:
self.area = self.areas[self.technology] * float(self.capacity) # temp calc. Should be 3.83 x collector area
elif self.technology == 'Geothermal':
self.area = self.areas[self.technology] * float(self.capacity)
elif self.technology == 'Wave':
self.area = self.areas[self.technology] * float(self.capacity)
elif self.technology == 'Hydro':
self.area = self.areas[self.technology] * float(self.capacity)
elif self.technology[:5] == 'Other':
self.area = self.areas[self.technology] * float(self.capacity)
else:
self.message.setText('This technology not yet implemented. Choose another.')
self.edit[1].setFocus()
return
self.save = True
self.close()
from turbine import Turbine
topology = Turbine(debug=True)
@topology.source("input")
def add_exclamation(input_str):
return input_str + "!"
@topology.scatter("input", ["output_1", "output_2"], num_tasks=1)
def moar_exclamations(input_str):
return input_str + "!!"
@topology.sink("output_1")
def print_val(val):
print(val)
@topology.sink("output_2", num_tasks=2)
def print_val2(val):
print(val.upper())
values = ["hello", "world"]
topology.run(values)
from turbine_config import TurbineConfig, ConfigFileError
from visualizer import Visualizer
from os.path import join, realpath
from os import makedirs, environ
from openravepy import matrixFromAxisAngle, Sensor
from math import pi
import time
from copy import copy
from numpy import array
if __name__ == "__main__":
dir_test = join(realpath('.'), 'test')
environ['OPENRAVE_DATA'] = str(dir_test)
cfg = TurbineConfig.load('turbine_unittest.cfg', 'test')
turb = Turbine(cfg)
turb.env.Remove(turb.primary)
turb.env.Remove(turb.secondary)
turb.env.Remove(turb.iris)
turb.env.Remove(turb.rotor)
turb.env.Remove(turb.runner_area)
turb.env.Remove(turb.blades[1])
turb.env.Remove(turb.blades[2])
turb.env.Remove(turb.blades[3])
# Visualizer
vis = Visualizer(turb.env)
# Move Robot
T = array([[-1, 0, 0, 2.21], [0, 0, 1, -3.42], [0, 1, 0, 0.69],
from numpy import pi, array, dot
import dynamics
import matplotlib.pylab as plt
import matplotlib.gridspec as gridspec
from turbine import Turbine
# Turn off gravity
dynamics.OPT_GRAVITY = True
dynamics.OPT_GEOMETRIC_STIFFNESS = True
# Create model
bladed_file = r"C:\Users\Rick Lupton\Dropbox\phd\Bladed\Models\OC3-Hywind_SparBuoy_NREL5MW.prj"
tb = Turbine(bladed_file, rigid=False)
tb.set_base_motion(4, 0.80, 10 * pi / 180)
# t,y = tb.simulate(rotor_speed=2, t1=60, dt=0.05, init=True)
def p(parts=False):
fig = plt.figure()
fig.set_size_inches(15, 10, forward=True)
gs = gridspec.GridSpec(6, 2)
motion = ["surge", "sway", "heave", "roll", "pitch", "yaw"][tb.base_motion]
fig.suptitle("Blade loads in response to base motion: {}".format(motion))
assert motion == "pitch"
az = [y[1][:, 0], y[6][:, 0], y[11][:, 0]]
pitch = [y[0][:, tb.base_motion], y[5][:, tb.base_motion], y[10][:, tb.base_motion]]
mh = tb.modes.mass * tb.tower.hubheight
import dynamics
from turbine import Turbine
# Turn off gravity
dynamics.OPT_GRAVITY = True
dynamics.OPT_GEOMETRIC_STIFFNESS = True
# Parameters
pitch_freq = 0.3 # rad/s
pitch_amp = 0.3 # rad
rotor_speed = 2 # rad/s
# Create model
bladed_file = r'C:\Users\Rick Lupton\Dropbox\phd\Bladed\Models\OC3-Hywind_SparBuoy_NREL5MW.prj'
tb = Turbine(bladed_file)
# Linearise model and simulate
lin = tb.lin(az0=0, rotor_speed=rotor_speed, init=True)
t, yl = lin.integrate(90)
# Convert to MBC and simulate
mbclin = lin.multiblade_transform(
(0, rotor_speed),
[range(0, 4), range(4, 8), range(8, 12)])
t, ym = mbclin.integrate(90)
# Simulate original full system
#t,y = tb.simulate(rotor_speed=2, t1=90, dt=0.10, init=True)
class CAES:
def __init__(self,V=1000.,cmp_eff=80.,trb_eff=90.,p=200000):
# Air Side
self.amb = Ambient()
self.cmp = Compressor(eff=cmp_eff)
self.tank = Tank(V=V,p=p)
self.trb = Turbine(eff=trb_eff)
self.m_dot_i = 0.0
self.m_dot_o = 0.0
# Heat Side
# Create pandas DataFrame to store results
self.df = pd.DataFrame(columns=variables)
def update(self, pwr, dt):
# Charge
if pwr>0.0:
self.charge(pwr, dt)
# Discharge
elif pwr > 0.0:
self.discharge(pwr, dt)
# Do nothing
else:
self.maintain(dt)
def charge(self, pwr, dt):
# Do something
state1 = self.amb.state
p_tank = self.tank.state.p
state2 = self.cmp.compress(state1, p_tank,pwr)
m_dot_i = self.cmp.m_dot
state3 = state2 # Hxer - to be added
self.tank.charge(state3,m_dot_i,dt)
self.m_dot_i = m_dot_i
def discharge(self, pwr, dt):
state4 = self.tank.state
state5 = state4 # Hxer - to be added
p_amb = self.amb.state.p
state6 = self.trb.expand(state4, p_amb)
m_dot = pwr / (state4.h - state5.h)
self.tank.discharge(state4, m_dot, dt)
def maintain(self, dt):
# Turn Everything off
def saveState(self, pwr, dt):
#-----
# Prepare series to store current state
#-----
s = pd.Series(index=variables)
#-----
# System Level
#-----
s['dt'] = dt
s['pwr'] = pwr
#-----
# Fluid
#-----
# Tanks
s['fluid_TA'] = 0.0
s['fluid_TC'] = 0.0
s['fluid_TH'] = 0.0
# Flow paths
s['fluid_A'] = self.cmp.m_dot
s['fluid_B'] = 0.0
s['fluid_C'] = 0.0
s['fluid_D'] = 0.0
s['fluid_E'] = 0.0
#-----
# Mass stored (Tanks only)
#-----
s['m_TA'] = self.tank.m
s['m_TC'] = 0.0
s['m_TH'] = 0.0
#-----
# Mass flow rate (Flow paths only)
#-----
s['m_dot_A'] = self.cmp.m_dot
s['m_dot_B'] = 0.0
s['m_dot_C'] = 0.0
s['m_dot_D'] = 0.0
s['m_dot_E'] = 0.0
#-----
# Temperature
#-----
# Tanks
s['T_TA'] = 0.0
