def _Pwsat(self, T):
"""Calculate the partial pressure of water in saturated moint air"""
if T < 273.15:
Pws = _Sublimation_Pressure(T)
else:
Pws = _PSat_T(T)
return Pws
print("Calculating isochor lines...")
for v in isov:
print(" v=%s" % v)
pts = [iapws.IAPWS95(T=t, v=v) for t in Tl]
x = []
y = []
for p in pts:
if p.status:
x.append(p.__getattribute__(xAxis))
y.append(p.__getattribute__(yAxis))
plt.plot(x, y, **isov_kw)
# Plot region limits
if regionBoundary:
# Boundary 1-3
Po = _PSat_T(623.15)
P = np.linspace(Po, 100, points)
pts = [fluid(P=p, T=623.15) for p in P]
x = [p.__getattribute__(xAxis) for p in pts]
y = [p.__getattribute__(yAxis) for p in pts]
plt.plot(x, y, **isosat_kw)
# Boundary 2-3
T = np.linspace(623.15, 863.15)
P = [_P23_T(t) for t in T]
P[-1] = 100 # Avoid round problem with value out of range > 100 MPa
pts = [fluid(P=p, T=t) for p, t in zip(P, T)]
x = [p.__getattribute__(xAxis) for p in pts]
y = [p.__getattribute__(yAxis) for p in pts]
plt.plot(x, y, **isosat_kw)
def __init__(self, hp, ip, lp, m1, m2, m3, ma, steam_high_temp, water_low_temp):
# Input Parameters
self.HP = hp # Bar
self.IP = ip # Bar
self.LP = lp # Bar
mass_flow_1 = m1
mass_flow_2 = m2
mass_flow_3 = m3
mass_flow_amine = ma
self.massflows = {
'mass flow 1': mass_flow_1,
'mass flow 2': mass_flow_2,
'mass flow 3': mass_flow_3,
'mass flow to amine': mass_flow_amine
}
# total mass flow
total_mass_flow = mass_flow_1 + mass_flow_2 + mass_flow_3
# Turbine Mass Flows
HPT_mass_flow = mass_flow_3
IPT_mass_flow = HPT_mass_flow + mass_flow_2
LPT_mass_flow = IPT_mass_flow + mass_flow_1 - mass_flow_amine
# Pump Mass Flows
HPP_mass_flow = mass_flow_3
IPP_mass_flow = mass_flow_2
LPP_mass_flow = IPP_mass_flow + HPP_mass_flow + mass_flow_1
# HRSG Mass Flows
self.economiser_1_mass_flow = total_mass_flow
self.economiser_2_mass_flow = mass_flow_2
self.economiser_3_mass_flow = mass_flow_3
self.evaporator_1_mass_flow = mass_flow_1
self.evaporator_2_mass_flow = mass_flow_2
self.evaporator_3_mass_flow = mass_flow_3
self.superheater_1_mass_flow = mass_flow_1 - mass_flow_amine
self.superheater_2_mass_flow = mass_flow_2 + mass_flow_3
self.superheater_3_mass_flow = mass_flow_3
self.SteamHighTemp = steam_high_temp # Celcius
WaterLowTemp = water_low_temp # Celcius
quality = 0.9 # at turbine outlet
self.T = [0]*16
self.T[1] = ToKelvin(WaterLowTemp)
# Pressures
self.P = [0]*16
self.P[1] = steam._PSat_T(self.T[1])
# low pressure
self.P[2] = BarToMP(self.LP) # bar
self.P[3] = self.P[2]
self.P[4] = self.P[2]
self.P[5] = self.P[2]
# intermediate pressure
self.P[7] = BarToMP(self.IP) # bar
self.P[8] = self.P[7]
self.P[9] = self.P[8]
self.P[10] = self.P[9]
self.P[15] = self.P[9]
# High Pressure
self.P[11] = BarToMP(self.HP) # bar
self.P[12] = self.P[11]
self.P[13] = self.P[12]
self.P[14] = self.P[13]
# Temperatures in kelvin
self.T[3] = steam._TSat_P(self.P[3])
self.T[4] = self.T[3]
self.T[6] = self.T[1]
self.T[8] = steam._TSat_P(self.P[8])
self.T[9] = self.T[8]
self.T[12] = steam._TSat_P(self.P[12])
self.T[13] = self.T[12]
self.T[14] = ToKelvin(self.SteamHighTemp)
# Begin going around cycle working out available values
self.SpecificValues = [0] * 16
self.SpecificValues[1] = steam._Region1(self.T[1], self.P[1])
self.T[2] = steam._Backward1_T_Ps(self.P[2], self.SpecificValues[1]['s'])
self.SpecificValues[2] = steam._Region1(self.T[2], self.P[2])
self.SpecificValues[3] = steam._Region4(self.P[3], 0)
self.SpecificValues[4] = steam._Region4(self.P[3], 1)
self.SpecificValues[6] = steam._Region4(self.P[1], quality)
self.T[5] = steam._Backward2_T_Ps(self.P[5], self.SpecificValues[6]['s'])
self.SpecificValues[5] = steam._Region2(self.T[5], self.P[5])
self.T[7] = steam._Backward1_T_Ps(self.P[7], self.SpecificValues[3]['s'])
self.SpecificValues[7] = steam._Region1(self.T[7], self.P[7])
self.SpecificValues[8] = steam._Region4(self.P[8], 0)
self.SpecificValues[9] = steam._Region4(self.P[8], 1)
self.T[10] = steam._Backward2_T_Ps(self.P[10], self.SpecificValues[5]['s'])
self.SpecificValues[10] = steam._Region2(self.T[10], self.P[10])
self.T[11] = steam._Backward1_T_Ps(self.P[11], self.SpecificValues[3]['s'])
self.SpecificValues[11] = steam._Region1(self.T[11], self.P[11])
self.SpecificValues[12] = steam._Region4(self.P[12], 0)
self.SpecificValues[13] = steam._Region4(self.P[13], 1)
self.SpecificValues[14] = steam._Region2(self.T[14], self.P[14])
self.T[15] = steam._Backward2_T_Ps(self.P[15], self.SpecificValues[14]['s'])
self.SpecificValues[15] = steam._Region2(self.T[15], self.P[15])
self.s = [0] * 16
self.h = [0] * 16
for i in range(0, len(self.SpecificValues)):
if i == 0:
continue
self.s[i] = self.SpecificValues[i]['s']
self.h[i] = self.SpecificValues[i]['h']
#Printing T-P conditions at each point
print("-------------------------------------------------------")
print("\nCycle Conditions:")
for i in range(1, 16):
print("\n\tT"+str(+i)+" = "+str(ToCelcius(self.T[i]))+" C")
print("\tP"+str(+i)+" = "+str(MPToBar(self.P[i]))+" bar")
#Finding specific work of turbines and pump
self.total_works = {
'Work Type': 'Work [kW]',
'LP Pump work': LPP_mass_flow * (self.h[2] - self.h[1]),
'IP Pump work': IPP_mass_flow * (self.h[7] - self.h[3]),
'HP Pump work': HPP_mass_flow * (self.h[11] - self.h[3]),
'HP Turbine work': HPT_mass_flow * (self.h[14] - self.h[15]),
'IP Turbine work': IPT_mass_flow * (self.h[10] - self.h[5]),
'LP Turbine work': LPT_mass_flow * (self.h[5] - self.h[6]),
'LP Superheater Heat Input': self.superheater_1_mass_flow * (self.h[5] - self.h[4]),
'LP Evaporator Heat Input': self.evaporator_1_mass_flow * (self.h[4] - self.h[3]),
'LP Economiser Heat Input': self.economiser_1_mass_flow * (self.h[3] - self.h[2]),
'IP Superheater Heat Input': self.superheater_2_mass_flow * (self.h[10] - self.h[15]),
'IP Superheater 2 Heat Input': self.evaporator_2_mass_flow * (self.h[15] - self.h[9]),
'IP Evaporator Heat Input': self.evaporator_2_mass_flow * (self.h[9] - self.h[8]),
'IP Economiser Heat Input': self.economiser_2_mass_flow * (self.h[8] - self.h[7]),
'HP Superheater Heat Input': self.superheater_3_mass_flow * (self.h[14] - self.h[13]),
'HP Evaporator Heat Input': self.evaporator_3_mass_flow * (self.h[13] - self.h[12]),
'HP Economiser Heat Input': self.economiser_3_mass_flow * (self.h[12] - self.h[11])
}
print("\nCycle Specific Works:")
for work, value in self.total_works.items():
print("\n\t"+work+" = "+str(value))
#Finding Total Heat into Cycle from HRSG
self.q_in = self.total_works['LP Economiser Heat Input'] + self.total_works['LP Evaporator Heat Input'] + self.total_works['LP Superheater Heat Input'] + self.total_works['IP Economiser Heat Input'] + \
self.total_works['IP Evaporator Heat Input'] + self.total_works['IP Superheater Heat Input'] + self.total_works['HP Economiser Heat Input'] + self.total_works['HP Evaporator Heat Input'] + self.total_works['HP Superheater Heat Input']
#FInding Net Work
self.w_net = self.total_works['HP Turbine work'] + self.total_works['IP Turbine work'] + self.total_works['LP Turbine work'] - self.total_works['HP Pump work'] - self.total_works['IP Pump work'] - self.total_works['LP Pump work']
self.total_works['Net Work'] = self.w_net
#Finding Thermal Efficiency fo Steam Cycle
self.efficiency = self.w_net / self.q_in
self.total_works['Efficiency'] = self.efficiency
print("\nCycle Efficiency:")
print("\n\tefficiency = "+str(self.efficiency*100)+"%")
print("\n\tWith a Net Work of : "+str(np.round(self.w_net))+"kW")
print("\n\tand a Total Heat Input of: "+str(np.round(self.q_in))+"kW\n")
def __alpha_tn_func(self, temp, params):
import math
import scipy.misc as diff
import scipy.constants as unit
import iapws.iapws97 as steam
import iapws.iapws95 as steam2
pressure = steam._PSat_T(temp)
d_rho = steam2.IAPWS95(P=pressure, T=temp - 1).drhodT_P
#d_rho2 = diff.derivative(derivative_helper, temp) # dRho/dTm
rho = 1 / steam._Region4(pressure, 0)['v'] # mass density, kg/m3
Nm = ((rho * unit.kilo) / params['mod molar mass']) * unit.N_A * (
unit.centi)**3 # number density of the moderator
d_Nm = ((d_rho * unit.kilo) / params['mod molar mass']) * unit.N_A * (
unit.centi)**3 #dNm/dTm
d_Nm = d_Nm * unit.zepto * unit.milli
mod_macro_a = params[
'mod micro a'] * Nm # macroscopic absorption cross section of the moderator
mod_macro_s = params[
'mod micro s'] * Nm # macroscopic scattering cross section of the moderator
F = params['fuel macro a'] / (params['fuel macro a'] + mod_macro_a
) # thermal utilization, F
#dF/dTm
d_F = -1 * (params['fuel macro a'] * params['mod micro a'] *
d_Nm) / (params['fuel macro a'] + mod_macro_a)**2
# Resonance escape integral, P
P = math.exp(
(-1 * params['n fuel'] *
(params['fuel_volume']) * params['I']) / (mod_macro_s * 3000))
#dP/dTm
d_P = P * (-1 * params['n fuel'] * params['fuel_volume'] *
unit.centi**3 * params['mod micro s'] *
d_Nm) / (mod_macro_s * 3000 * unit.centi**3)**2
Eth = 0.0862 * temp # convert temperature to energy in MeV
E1 = mod_macro_s / math.log(
params['E0'] /
Eth) # neutron thermalization macroscopic cross section
Df = 1 / (3 * mod_macro_s *
(1 - params['mod mu0'])) # neutron diffusion coefficient
tau = Df / E1 # fermi age, tau
#dTau/dTm
d_tau = ((
(0.0862 *
(Eth / params['E0'])) * 3 * Nm) - math.log(params['E0'] / Eth) *
(params['mod micro s'] * d_Nm)) / ((3 * Nm)**2 *
(1 - params['mod mu0']))
L = math.sqrt(1 / (3 * mod_macro_s * mod_macro_a *
(1 - params['mod mu0']))) # diffusion length L
# dL/dTm
d_L = 1 / (2 * math.sqrt(
(-2 * d_Nm * unit.zepto * unit.milli) /
(3 * params['mod micro s'] * params['mod micro a'] *
(Nm * unit.zepto * unit.milli)**3 * (1 - params['mod mu0']))))
# left term of the numerator of the moderator temperature feedback coefficient, alpha
left_1st_term = d_tau * (
params['buckling']**2 + L**2 * params['buckling']**4
) #holding L as constant
left_2nd_term = d_L * (
2 * L * params['buckling']**2 + 2 * L * tau * params['buckling']**4
) # holding tau as constant
left_term = (P * F) * (left_1st_term + left_2nd_term
) # combining with P and F held as constant
# right term of the numerator of the moderator temperature feedback coefficient, alpha
right_1st_term = (-1) * (1 + ((tau + L**2) * params['buckling']**2) +
tau * L**2 * params['buckling']**4
) # num as const
right_2nd_term = F * d_P # holding thermal utilization as constant
right_3rd_term = P * d_F # holding resonance escpae as constant
right_term = right_1st_term * (right_2nd_term + right_3rd_term
) # combining all three terms together
# numerator and denominator
numerator = left_term + right_term
denominator = params['eta'] * params['epsilon'] * (F * P)**2
alpha_tn = numerator / denominator
alpha_tn = alpha_tn / 3
return alpha_tn
for v in isov:
print(" v=%s" % v)
pts = [iapws.IAPWS95(T=t, v=v) for t in Tl]
x = []
y = []
for p in pts:
if p.status:
x.append(p.__getattribute__(xAxis))
y.append(p.__getattribute__(yAxis))
plt.plot(x, y, **isov_kw)
# Plot region limits
if regionBoundary:
# Boundary 1-3
Po = _PSat_T(623.15)
P = np.linspace(Po, 100, points)
pts = [fluid(P=p, T=623.15) for p in P]
x = [p.__getattribute__(xAxis) for p in pts]
y = [p.__getattribute__(yAxis) for p in pts]
plt.plot(x, y, **isosat_kw)
# Boundary 2-3
T = np.linspace(623.15, 863.15)
P = [_P23_T(t) for t in T]
P[-1] = 100 # Avoid round problem with value out of range > 100 MPa
pts = [fluid(P=p, T=t) for p, t in zip(P, T)]
x = [p.__getattribute__(xAxis) for p in pts]
y = [p.__getattribute__(yAxis) for p in pts]
plt.plot(x, y, **isosat_kw)
def plot(**kwargv):
###############################################################################
# Configuration section
###############################################################################
show = True
# Define standard to use in plot, IAPWS95 very slow!
fluid = iapws.IAPWS97
# fluid = iapws.IAPWS95
# Define kind of plot
xAxis = "s"
yAxis = "P"
if "x" in kwargv:
xAxis = kwargv["x"]
if "y" in kwargv:
yAxis = kwargv["y"]
if "show" in kwargv:
show = kwargv["show"]
print("Calculating %s-%s Diagram..." % (yAxis, xAxis))
# Point count for line, high value get more definition but slow calculate time
points = 50
# Saturation line format
isosat_kw = {"ls": "-", "color": "black", "lw": 1}
# Isoquality lines to plot
isoq = np.arange(0.1, 1, 0.1)
isoq_kw = {"ls": "--", "color": "black", "lw": 0.5}
labelq_kw = {"size": "xx-small", "ha": "right", "va": "center"}
# Isotherm lines to plot, values in ºC
isoT = [0, 50, 100, 200, 300, 400, 500, 600, 700, 800, 1200, 1600, 2000]
isoT_kw = {"ls": "-", "color": "red", "lw": 0.5}
labelT_kw = {"size": "xx-small", "ha": "right", "va": "bottom"}
# Isobar lines to plot
isoP = [Pt, 0.001, 0.01, 0.1, 1, 10, 20, 50, 100]
isoP_kw = {"ls": "-", "color": "blue", "lw": 0.5}
labelP_kw = {"size": "xx-small", "ha": "center", "va": "center"}
# Isoenthalpic lines to plot
isoh = np.arange(200, 4400, 200)
isoh_kw = {"ls": "-", "color": "green", "lw": 0.5}
labelh_kw = {"size": "xx-small", "ha": "center", "va": "center"}
# Isoentropic lines to plot
isos = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
isos_kw = {"ls": "-", "color": "brown", "lw": 0.5}
labels_kw = {"size": "xx-small", "ha": "center", "va": "center"}
# # Isochor lines to plot
# isov = [0.1, 1, 10, 100]
# isov_kw = {"ls": "-", "color": "green", "lw": 0.5}
# Show region limits
regionBoundary = False
if "regionBoundary" in kwargv:
regionBoundary = kwargv["regionBoundary"]
# Show region5
region5 = False
###############################################################################
# Calculate
###############################################################################
# Set plot label
title = {
"T": "T, K",
"P": "P, MPa",
"v": "v, m³/kg",
"h": "h, kJ/kg",
"s": "s, kJ/kgK"
}
# Check axis correct definition
validAxis = ", ".join(title.keys())
if xAxis not in title:
raise ValueError("X axis variable don´t supported, valid only ",
validAxis)
if yAxis not in title:
raise ValueError("Y axis variable don´t supported, valid only ",
validAxis)
if xAxis == yAxis:
raise ValueError("X and Y axis can't show same variable")
# Set plot legend
plt.title("%s-%s Diagram" % (yAxis, xAxis))
xtitle = title[xAxis]
plt.xlabel(xtitle)
ytitle = title[yAxis]
plt.ylabel(ytitle)
# Set logaritmic scale if apropiate
if xAxis in ["P", "v"]:
plt.xscale("log")
if yAxis in ["P", "v"]:
plt.yscale("log")
plt.grid(True)
# Calculate point of isolines
Ps = list(
np.concatenate([
np.logspace(np.log10(Pt), np.log10(0.1 * Pc), points),
np.linspace(0.1 * Pc, 0.9 * Pc, points),
np.linspace(0.9 * Pc, 0.99 * Pc, points),
np.linspace(0.99 * Pc, Pc, points)
]))
Pl = list(
np.concatenate([
np.logspace(np.log10(Pt), np.log10(0.1 * Pc), points),
np.linspace(0.1 * Pc, 0.5 * Pc, points),
np.linspace(0.5 * Pc, 0.9 * Pc, points),
np.linspace(0.9 * Pc, 0.99 * Pc, points),
np.linspace(0.99 * Pc, Pc, points),
np.linspace(Pc, 1.01 * Pc, points),
np.linspace(1.01 * Pc, 1.1 * Pc, points),
np.linspace(1.1 * Pc, 50, points),
np.linspace(50, 100, points)
]))
Tl = list(
np.concatenate([
np.linspace(0, 25, points),
np.linspace(25, 0.5 * Tc, points),
np.linspace(0.5 * Tc, 0.9 * Tc, points),
np.linspace(0.9 * Tc, Tc, points),
np.linspace(Tc, 1.1 * Tc, points),
np.linspace(1.1 * Tc, 1.1 * Tc, points),
np.linspace(1.1 * Tc, 800, points),
np.linspace(800, 2000, points)
]))
# Calculate saturation line
print("Calculating saturation lines...")
liq = [fluid(P=p, x=0) for p in Ps]
xliq = [l.__getattribute__(xAxis) for l in liq]
yliq = [l.__getattribute__(yAxis) for l in liq]
plt.plot(xliq, yliq, **isosat_kw)
vap = [fluid(P=p, x=1) for p in Ps]
xvap = [v.__getattribute__(xAxis) for v in vap]
yvap = [v.__getattribute__(yAxis) for v in vap]
plt.plot(xvap, yvap, **isosat_kw)
# Calculate isoquality lines
print("Calculating isoquality lines...")
Q = {}
for q in isoq:
Q["%s" % q] = {}
txt = "x=%s" % q
print(" %s" % txt)
pts = [fluid(P=p, x=q) for p in Ps]
x = [p.__getattribute__(xAxis) for p in pts]
y = [p.__getattribute__(yAxis) for p in pts]
Q["%s" % q]["x"] = x
Q["%s" % q]["y"] = y
plt.plot(x, y, **isoq_kw)
# Calculate isotherm lines
if xAxis != "T" and yAxis != "T":
print("Calculating isotherm lines...")
T_ = {}
for T in isoT:
T_["%s" % T] = {}
print(" T=%sºC" % T)
# Calculate the saturation point if available
if T + 273.15 < Tc:
liqsat = fluid(T=T + 273.15, x=0)
vapsat = fluid(T=T + 273.15, x=1)
sat = True
else:
sat = False
pts = []
for p in Pl:
try:
point = fluid(P=p, T=T + 273.15)
if fluid == iapws.IAPWS97 and not region5 and \
point.region == 5:
continue
# Add saturation point if neccesary
if sat and T + 273.15 < Tc and point.s < vapsat.s:
pts.append(vapsat)
pts.append(liqsat)
sat = False
pts.append(point)
except NotImplementedError:
pass
x = []
y = []
for p in pts:
if p.status:
x.append(p.__getattribute__(xAxis))
y.append(p.__getattribute__(yAxis))
plt.plot(x, y, **isoT_kw)
T_["%s" % T]["x"] = x
T_["%s" % T]["y"] = y
# Calculate isobar lines
if xAxis != "P" and yAxis != "P":
print("Calculating isobar lines...")
P_ = {}
for P in isoP:
print(" P=%sMPa" % P)
P_["%s" % P] = {}
# Calculate the saturation point if available
if P < Pc:
liqsat = fluid(P=P, x=0)
vapsat = fluid(P=P, x=1)
sat = True
else:
sat = False
pts = []
for t in Tl:
try:
point = fluid(P=P, T=t + 273.15)
if fluid == iapws.IAPWS97 and not region5 and \
point.region == 5:
continue
# Add saturation point if neccesary
if sat and P < Pc and point.status and point.s > vapsat.s:
pts.append(liqsat)
pts.append(vapsat)
sat = False
pts.append(point)
except NotImplementedError:
pass
x = []
y = []
for p in pts:
if p.status:
x.append(p.__getattribute__(xAxis))
y.append(p.__getattribute__(yAxis))
plt.plot(x, y, **isoP_kw)
P_["%s" % P]["x"] = x
P_["%s" % P]["y"] = y
# Calculate isoenthalpic lines
if xAxis != "h" and yAxis != "h":
print("Calculating isoenthalpic lines...")
H_ = {}
for h in isoh:
print(" h=%skJ/kg" % h)
H_["%s" % h] = {}
pts = []
for p in Pl:
try:
point = fluid(P=p, h=h)
if fluid == iapws.IAPWS97 and not region5 and \
point.region == 5:
continue
pts.append(point)
except NotImplementedError:
pass
x = []
y = []
for p in pts:
if p.status:
x.append(p.__getattribute__(xAxis))
y.append(p.__getattribute__(yAxis))
plt.plot(x, y, **isoh_kw)
H_["%s" % h]["x"] = x
H_["%s" % h]["y"] = y
# Calculate isoentropic lines
if xAxis != "s" and yAxis != "s":
print("Calculating isoentropic lines...")
S_ = {}
for s in isos:
print(" s=%skJ/kgK" % s)
S_["%s" % s] = {}
pts = []
for p in Pl:
try:
point = fluid(P=p, s=s)
if fluid == iapws.IAPWS97 and not region5 and \
point.region == 5:
continue
pts.append(point)
except NotImplementedError:
pass
x = []
y = []
for p in pts:
if p.status:
x.append(p.__getattribute__(xAxis))
y.append(p.__getattribute__(yAxis))
plt.plot(x, y, **isos_kw)
S_["%s" % s]["x"] = x
S_["%s" % s]["y"] = y
# # Calculate isochor lines
# if xAxis != "v" and yAxis != "v":
# print("Calculating isochor lines...")
# for v in isov:
# print(" v=%s" % v)
# pts = [fluid(P=p, v=v) for p in Pl]
# x = []
# y = []
# for p in pts:
# if p.status:
# x.append(p.__getattribute__(xAxis))
# y.append(p.__getattribute__(yAxis))
# plt.plot(x, y, **isov_kw)
# Plot region limits
if regionBoundary:
# Boundary 1-3
Po = _PSat_T(623.15)
P = np.linspace(Po, 100, points)
pts = [fluid(P=p, T=623.15) for p in P]
x = [p.__getattribute__(xAxis) for p in pts]
y = [p.__getattribute__(yAxis) for p in pts]
plt.plot(x, y, **isosat_kw)
# Boundary 2-3
T = np.linspace(623.15, 863.15)
P = [_P23_T(t) for t in T]
P[-1] = 100 # Avoid round problem with value out of range > 100 MPa
pts = [fluid(P=p, T=t) for p, t in zip(P, T)]
x = [p.__getattribute__(xAxis) for p in pts]
y = [p.__getattribute__(yAxis) for p in pts]
plt.plot(x, y, **isosat_kw)
# Show annotate in plot
xmin, xmax = plt.xlim()
ymin, ymax = plt.ylim()
for q in isoq:
x = Q["%s" % q]["x"]
y = Q["%s" % q]["y"]
txt = "x=%s" % q
i = 0
j = i + 1
if xAxis in ["P", "v"]:
fx = (log(x[i]) - log(x[j])) / (log(xmax) - log(xmin))
else:
fx = (x[i] - x[j]) / (xmax - xmin)
if yAxis in ["P", "v"]:
fy = (log(y[i]) - log(y[j])) / (log(ymax) - log(ymin))
else:
fy = (y[i] - y[j]) / (ymax - ymin)
rot = atan(fy / fx) * 360 / 2 / pi
plt.annotate(txt, (x[i], y[i]), rotation=rot, **labelq_kw)
if xAxis != "T" and yAxis != "T":
for T in isoT:
x = T_["%s" % T]["x"]
y = T_["%s" % T]["y"]
if not x:
continue
txt = "%sºC" % T
i = 0
j = i + 2
if xAxis in ["P", "v"]:
fx = (log(x[i]) - log(x[j])) / (log(xmax) - log(xmin))
else:
fx = (x[i] - x[j]) / (xmax - xmin)
if yAxis in ["P", "v"]:
fy = (log(y[i]) - log(y[j])) / (log(ymax) - log(ymin))
else:
fy = (y[i] - y[j]) / (ymax - ymin)
rot = atan(fy / fx) * 360 / 2 / pi
plt.annotate(txt, (x[i], y[i]), rotation=rot, **labelT_kw)
if xAxis != "P" and yAxis != "P":
for P in isoP:
x = P_["%s" % P]["x"]
y = P_["%s" % P]["y"]
if not x:
continue
txt = "%sMPa" % P
i = len(x) - 15
j = i - 2
if xAxis in ["P", "v"]:
fx = (log(x[i]) - log(x[j])) / (log(xmax) - log(xmin))
else:
fx = (x[i] - x[j]) / (xmax - xmin)
if yAxis in ["P", "v"]:
fy = (log(y[i]) - log(y[j])) / (log(ymax) - log(ymin))
else:
fy = (y[i] - y[j]) / (ymax - ymin)
rot = atan(fy / fx) * 360 / 2 / pi
plt.annotate(txt, (x[i], y[i]), rotation=rot, **labelP_kw)
if xAxis != "h" and yAxis != "h":
for h in isoh:
x = H_["%s" % h]["x"]
y = H_["%s" % h]["y"]
if not x:
continue
if h % 1000:
continue
txt = "%s J/g" % h
i = points
j = i + 2
if xAxis in ["P", "v"]:
fx = (log(x[i]) - log(x[j])) / (log(xmax) - log(xmin))
else:
fx = (x[i] - x[j]) / (xmax - xmin)
if yAxis in ["P", "v"]:
fy = (log(y[i]) - log(y[j])) / (log(ymax) - log(ymin))
else:
fy = (y[i] - y[j]) / (ymax - ymin)
rot = atan(fy / fx) * 360 / 2 / pi
plt.annotate(txt, (x[i], y[i]), rotation=rot, **labelh_kw)
if xAxis != "s" and yAxis != "s":
for s in isos:
x = S_["%s" % s]["x"]
y = S_["%s" % s]["y"]
txt = "%s J/gK" % s
i = len(x) // 2
if s > 10:
j = i + 1
else:
j = i + 5
if xAxis in ["P", "v"]:
fx = (log(x[i]) - log(x[j])) / (log(xmax) - log(xmin))
else:
fx = (x[i] - x[j]) / (xmax - xmin)
if yAxis in ["P", "v"]:
fy = (log(y[i]) - log(y[j])) / (log(ymax) - log(ymin))
else:
fy = (y[i] - y[j]) / (ymax - ymin)
rot = atan(fy / fx) * 360 / 2 / pi
plt.annotate(txt, (x[i], y[i]), rotation=rot, **labels_kw)
if show:
plt.show()
def __alpha_tn_func(self, temp, params):
pressure = steam._PSat_T(temp) # vfda: why accessing protected method?
d_rho = steam2.IAPWS95(P=pressure, T=temp-1).drhodT_P
rho = 1 / steam._Region4(pressure, 0)['v'] # mass density, kg/m3
n_m = ((rho * unit.kilo)/self.mod_molar_mass) * unit.N_A * (unit.centi)**3
# number density of the moderator
d_nm = ((d_rho * unit.kilo)/self.mod_molar_mass) * unit.N_A * (unit.centi)**3 #dNm/dTm
d_nm = d_nm * unit.zepto * unit.milli
mod_macro_a = self.mod_micro_a * n_m
# macroscopic absorption cross section of the moderator
mod_macro_s = self.mod_micro_s * n_m
# macroscopic scattering cross section of the moderator
F = self.fuel_macro_a/(self.fuel_macro_a + mod_macro_a) # thermal utilization, F
#dF/dTm
d_f = -1*(self.fuel_macro_a * self.mod_micro_a * d_nm)/(
(self.fuel_macro_a + mod_macro_a)**2)
# Resonance escape integral, P
P = math.exp((-1 * self.n_fuel * (self.fuel_volume) * self.I)/
((mod_macro_s * 3000)))
#dP/dTm
d_p = P * (-1 * self.n_fuel * self.fuel_volume * unit.centi**3 *
(self.mod_micro_s) * d_nm)/(mod_macro_s * 3000 * unit.centi**3)**2
e_th = 0.0862 * temp # convert temperature to energy in MeV
e_one = mod_macro_s/math.log(self.E0/e_th)
# neutron thermalization macroscopic cross section
d_f = 1/(3 * mod_macro_s * (1 - self.mod_mu0)) # neutron diffusion coefficient
tau = d_f/e_one # fermi age, tau
#dTau/dTm
d_tau = (((0.0862 * (e_th/self.E0)) * 3 * n_m) - math.log(self.E0/e_th) *
((self.mod_micro_s * d_nm))/((3 * n_m)**2 * (1 - self.mod_mu0)))
L = math.sqrt(1/(3 * mod_macro_s * mod_macro_a * (1 - self.mod_mu0)))
# diffusion length L
# dL/dTm
d_l = 1/(2 * math.sqrt((-2 * d_nm * unit.zepto * unit.milli)/(3 * self.mod_micro_s * (self.mod_micro_a * (n_m * unit.zepto * unit.milli)**3 * ((1 - self.mod_mu0))))))
# left term of the numerator of the moderator temperature feedback coefficient, alpha
left_first_term = d_tau * (self.buckling**2 + L**2 * self.buckling**4)
#holding L as constant
left_second_term = d_l * (2 * L * self.buckling**2 + 2 * L *
(tau * self.buckling**4)) # holding tau as constant
left_term = (P * F) * (left_first_term + left_second_term)
# combining with P and F held as constant
right_1st_term = (-1) * (1 + ((tau + d_l**2) * self.buckling**2) + \
tau * d_l**2 * self.buckling**4) # num as const
right_first_term = (-1) * ((1 + ((tau + L**2) * self.buckling**2))
+ tau * L**2 * self.buckling**4) # num as const
right_second_term = F * d_p # holding thermal utilization as constant
right_third_term = P * d_f # holding resonance escpae as constant
right_term = right_first_term * (right_second_term + right_third_term)
# combining all three terms together
# numerator and denominator
numerator = left_term + right_term
denominator = self.eta * self.epsilon * \
(F * P)**2
alpha_tn = numerator/denominator
alpha_tn = alpha_tn/3
return alpha_tn
def __get_coolant_outflow(self, time):
"""Get the coolant outflow stream.
Parameters
----------
time: float
Time in SI unit.
Returns
-------
None
"""
coolant_outflow_stream = dict()
outflow_cool_temp = self.coolant_outflow_phase.get_value('temp', time)
if outflow_cool_temp <= 373.15:
coolant_outflow_stream['temp'] = outflow_cool_temp
coolant_outflow_stream['pressure'] = 0
coolant_outflow_stream['quality'] = 0
coolant_outflow_stream['flowrate'] = 0
else:
if self.params['valve_opened']:
pressure = steam._PSat_T(outflow_cool_temp)
base_temp = 373.15
base_pressure = steam._PSat_T(base_temp)
base_params = steam.IAPWS97(T=base_temp, x=0)
base_entropy = base_params.s
base_cp = base_params.cp
inlet_params = steam.IAPWS97(T=outflow_cool_temp, x=0)
inlet_cp = inlet_params.cp
average_cp = (base_cp + inlet_cp)/2
delta_s = average_cp * math.log(outflow_cool_temp/base_temp) - (unit.R/1000) * math.log(pressure/base_pressure)
inlet_entropy = (delta_s + base_entropy) * 1.25
bubl_entropy = inlet_params.s
bubl_enthalpy = inlet_params.h
inlet_params = steam.IAPWS97(T=base_temp, x=1)
dew_entropy = inlet_params.s
dew_enthalpy = inlet_params.h
quality = (inlet_entropy - bubl_entropy)/(dew_entropy - bubl_entropy)
delta_t = time - self.params['valve_opening_time']
mass_flowrate = 1820 * (1 - math.exp(-1 * delta_t/(3 * unit.minute)))
coolant_outflow_stream['temp'] = outflow_cool_temp
coolant_outflow_stream['pressure'] = pressure
coolant_outflow_stream['quality'] = quality
coolant_outflow_stream['flowrate'] = mass_flowrate
else:
self.params['valve_opened'] = True
self.params['valve_opening_time'] = time
coolant_outflow_stream['temp'] = 373.15
coolant_outflow_stream['pressure'] = 0
coolant_outflow_stream['quality'] = 0
coolant_outflow_stream['flowrate'] = 0
return coolant_outflow_stream
