def Calculate(self):
if self.type == 'economiser':
self.cp['cold'] = 4.2
self.h['cold in'] = steam._Region1(self.t['cold in'], self.operating_pressure)['h']
self.h['cold out'] = steam._Region1(self.t['cold out'], self.operating_pressure)['h']
self.t['hot out'] = self.t['hot in'] - ((self.m['cold']) / (self.m['hot'] * self.cp['hot'])) * (self.h['cold out'] - self.h['cold in'])
elif self.type == 'superheater':
self.cp['cold'] = 2.1
self.h['cold in'] = steam._Region2(self.t['cold in'], self.operating_pressure)['h']
self.h['cold out'] = steam._Region2(self.t['cold out'], self.operating_pressure)['h']
self.t['hot out'] = self.t['hot in'] - ((self.m['cold']) / (self.m['hot'] * self.cp['hot'])) * (self.h['cold out'] - self.h['cold in'])
elif self.type == 'evaporator': # liquid-vapor mixture then we need to work out enthalpies
self.h['cold in'] = steam._Region4(self.operating_pressure, self.quality_in)['h']
self.h['cold out'] = steam._Region4(self.operating_pressure, self.quality_out)['h']
self.t['hot out'] = self.t['hot in'] - ((self.m['cold']) / (self.m['hot'] * self.cp['hot'])) * (self.h['cold out'] - self.h['cold in'])
# heat usage
self.Q = self.m['cold'] * (self.h['cold out'] - self.h['cold in'])
def PFromTS(t, s, p0, precision, maxNoOfIters):
print("finding pressure at\nEntropy: "+str(s)+"\nTemperature: "+str(t))
p = p0
i = 0
currentConditions = steam._Region2(t, p)
print("Entropy at starting position: "+str(currentConditions['s']))
while currentConditions['s'] < s:
print("iteration: "+str(i))
print("CurrentEntropy: "+str(currentConditions['s']))
print("current pressure: "+str(p))
if i >= maxNoOfIters:
print("Ran out of iterations! Got to P="+str(p))
return p
p -= precision
currentConditions = steam._Region2(t, p)
i += 1
print("Conditions at T="+str(t)+" and s="+str(s))
print("Found pressure P="+str(p))
return p
def vaporization_enthalpy(P, simplified = False):
if simplified:
return simplified_model(P, c=c_dict['vaporization_enthalpy'])
T = calculate_saturation_temperature(P)
P = P*1e-6
v = _Region2(T, P)
l = _Region1(T, P)
return 1e3 * (v['h'] - l['h'])
def vapour_density(P, simplified = False):
if simplified:
return simplified_model(P, c=c_dict['vapour_density'])
T = calculate_saturation_temperature(P)
P = P*1e-6
out = _Region2(T, P)
v = out['v']
rho = 1 / v # kg/m3
return rho
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 __step(self, time=0.0):
# Check for valid intervals
p_in_min = 6.1121e-4 * unit.mega * unit.pascal
p_in_max = 22.064 * unit.mega * unit.pascal
assert p_in_min <= self.inflow_pressure <= p_in_max
assert 19 + 273.15 <= self.inflow_temp <= 800 + 273.15, 'inflow temp = %r' % self.inflow_temp
# Get state values
p_in_MPa = self.inflow_pressure / unit.mega / unit.pascal
p_out_MPa = self.vent_pressure / unit.mega / unit.pascal
# If entering stream is not steam (valve closed scenario)
if self.inflow_temp < steam_table._TSat_P(p_in_MPa):
t_runoff = self.inflow_temp
turbine_power = 0
quality = 0
else:
s_out_prime = steam_table._Region2(self.inflow_temp, p_in_MPa)['s']
h_in = steam_table._Region2(self.inflow_temp, p_in_MPa)['h']
bubl = steam_table._Region4(p_out_MPa, 0)
dew = steam_table._Region4(p_out_MPa, 1)
bubl_entropy = bubl['s']
dew_entropy = dew['s']
bubl_enthalpy = bubl['h']
dew_enthalpy = dew['h']
# If the ideal runoff is two-phase mixture:
if bubl_entropy < s_out_prime < dew_entropy:
quality = (s_out_prime - bubl_entropy) / (dew_entropy -
bubl_entropy)
h_out_prime = bubl_enthalpy + quality * (dew_enthalpy -
bubl_enthalpy)
# If ideal run off is superheated
elif s_out_prime > dew_entropy:
t_ideal = steam_table._Backward2_T_Ps(p_out_MPa, s_out_prime)
h_out_prime = steam_table._Region2(t_ideal, p_out_MPa)['h']
quality = 1
# Else ideal run off is subcooled
else:
t_ideal = steam_table._Backward1_T_Ps(p_out_MPa, s_out_prime)
h_out_prime = steam_table._Region1(t_ideal, p_out_MPa)['h']
quality = 0
# Calculate the real runoff enthalpy
w_ideal = h_in - h_out_prime #on a per mass basis
assert w_ideal > 0
w_real = w_ideal * self.turbine_efficiency
h_out_real = h_in - w_ideal
assert h_out_real > 0
if w_real < 0:
w_real = 0
# If run off is actually subcooled
if h_out_real < bubl_enthalpy:
t_runoff = steam_table._Backward1_T_Ph(p_out_MPa, h_out_real)
quality = 0 # subcooled liquid
# If run off is actually superheated
elif h_out_real > dew_enthalpy:
t_runoff = steam_table._Backward2_T_Ph(p_out_MPa, h_out_real)
quality = 1 # superheated steam
# Else run off is actually in two phase region
else:
quality = (h_out_real - bubl_enthalpy) / (dew_enthalpy -
bubl_enthalpy)
t_runoff = steam_table._Region4(p_out_MPa, quality)['T']
turbine_power = self.inflow_mass_flowrate * w_real * unit.kilo * unit.watt
# Update state variables
turbine_outflow = self.outflow_phase.get_row(time)
turbine = self.state_phase.get_row(time)
time += self.time_step
self.outflow_phase.add_row(time, turbine_outflow)
self.outflow_phase.set_value('temp', t_runoff, time)
self.outflow_phase.set_value('flowrate', self.inflow_mass_flowrate,
time)
self.outflow_phase.set_value('quality', quality, time)
self.outflow_phase.set_value('pressure', self.vent_pressure, time)
self.state_phase.add_row(time, turbine)
self.state_phase.set_value('power', turbine_power, time)
self.rejected_heat_pwr = self.inflow_total_heat_pwr - turbine_power
self.state_phase.set_value('rejected-heat', self.rejected_heat_pwr,
time)
return time