def main():
"""
Make the flowsheet object and solve
"""
ss_flowsheet = ss_sim.main()
flowsheet = Flowsheet(name='MB_Model')
# fill in values of IC parameters from steady state solve
setICs(flowsheet, ss_flowsheet)
# Fix variables
setInputs(flowsheet)
# Initialize at steady state
initialize_ss(flowsheet, ss_flowsheet)
mb = flowsheet.MB_fuel
write_differential_equations(flowsheet)
# Then perturb
solid_x_ptb = {'Fe2O3': 0.25, 'Fe3O4': 0.01, 'Al2O3': 0.74}
gas_y_ptb = {'CO2': 0.03999, 'H2O': 0.00001, 'CH4': 0.96}
#perturbInputs(flowsheet,0,Solid_M=691.4,Solid_T=1283,Solid_x=solid_x_ptb,
# Gas_F=150,Gas_T=350,Gas_y=gas_y_ptb)
for t in mb.t:
perturbInputs(flowsheet, t, Solid_M=691.4)
# should put this in a dedicated ~intialize~ function
# that also intelligently initializes the model after perturbation
mb.eq_d4.deactivate()
mb.eq_d5.deactivate()
mb.eq_d8.deactivate()
mb.eq_d9.deactivate()
mb.eq_d10.deactivate()
mb.eq_g7.deactivate()
mb.eq_g8.deactivate()
mb.eq_g10.deactivate()
mb.eq_g11.deactivate()
mb.eq_g12.deactivate()
mb.eq_g13.deactivate()
mb.eq_g14.deactivate()
mb.eq_g4.deactivate()
mb.eq_g5.deactivate()
mb.eq_g2.deactivate()
mb.Tg_GW.fix(0.0)
mb.Tw_GW.fix(0.0)
mb.Tg_refractory.fix(0.0)
mb.Tw_Wamb.fix()
mb.Tw.fix()
mb.Nuw.fix()
mb.Nu_ext.fix()
mb.hw.fix()
mb.hext.fix()
mb.hext2.fix()
mb.U.fix()
mb.Uw.fix()
mb.Pr_ext.fix()
mb.Ra.fix()
mb.Re.fix()
###
# other tentatively unused variables:
mb.mFe_mAl.fix(0.0)
mb.Solid_Out_M_Comp.fix()
mb.eq_c5.deactivate()
# Create a solver
tol = 1e-8
opt = SolverFactory('ipopt')
opt.options = {
'tol': tol,
'linear_solver': 'ma57',
'bound_push': 1e-8,
'max_cpu_time': 600,
'print_level': 5
}
#'halt_on_ampl_error': 'yes'}
# initialized at steady state, works regardless:
flowsheet.strip_bounds()
#for z in mb.z:
# for t in mb.t:
# mb.Cg[z,'CH4',t].setlb(1e-8)
for t in mb.t:
alg_update(flowsheet, t)
update_time_derivatives(flowsheet, t)
print_violated_constraints(flowsheet, tol)
nlp_ss = PyomoNLP(ss_flowsheet)
x_ss = get_vector_from_flowsheet(nlp_ss, ss_flowsheet)
jac_ss = nlp_ss.jacobian_g(x_ss)
print('calculating steady state condition number...')
ss_condition = np.linalg.cond(jac_ss.toarray())
print('steady state condition number: ', ss_condition)
fig1, ax1 = plt.subplots()
ax1.jac_ss = plt.spy(jac_ss)
ax1.set_facecolor('none')
fig1.savefig('jac_ss.png', facecolor='none',
edgecolor='none') #'#f2f2f2',edgecolor='none')
nlp = PyomoNLP(flowsheet)
v_order = nlp.variable_order()
c_order = nlp.constraint_order()
x = get_vector_from_flowsheet(nlp, flowsheet)
lam = nlp.create_vector_y()
jac_c = nlp.jacobian_g(x)
hess_lag = nlp.hessian_lag(x, lam)
kkt = BlockSymMatrix(2)
kkt[0, 0] = hess_lag
kkt[1, 0] = jac_c
fig2, ax2 = plt.subplots()
ax2.jac_c = plt.spy(jac_c)
ax2.set_facecolor('none')
fig2.savefig('jac_c.png', facecolor='none', edgecolor='none')
#MA27 = hsl.MA27_LinearSolver()
#jac_row_fortran = np.zeros(jac_c.nnz,dtype=np.intc)
#jac_col_fortran = np.zeros(jac_c.nnz,dtype=np.intc)
#values = jac_c.data
#for i in range(0,jac_c.nnz):
# jac_row_fortran[i] = int(jac_c.row[i] + 1)
# jac_col_fortran[i] = int(jac_c.col[i] + 1)
#print('Doing symbolic factorization...')
#MA27.DoSymbolicFactorization(nlp.nx,jac_row_fortran,jac_col_fortran)
#print(jac_row_fortran)
#print(jac_col_fortran)
#print('Doing numeric factorization...')
#num_status = MA27.DoNumericFactorization(nlp.nx,values)
#print('Status: ',num_status)
#jac_indices = range(0,jac_c.nnz)
#for i in range(0,jac_c.nnz):
# if np.abs(values[i]) <= 1e-6:
# print('%0.2e'%values[i],str(jac_indices[i])+'-th nonzero.',jac_c.row[i],jac_c.col[i],
# c_order[jac_c.row[i]],v_order[jac_c.col[i]])
#plot_switch = 0
#if plot_switch == 1:
# fig,ax = plt.subplots()
# jac_value_plot = ax.bar(jac_indices,values)
# ax.set_yscale('log')
# fig.savefig('plots/jac_values.png')
print('calculating condition number...')
condition = np.linalg.cond(jac_c.toarray())
print('condition number: ', condition)
#mb.input_objective = Objective(expr=sum((mb.Solid_In_M[t] -601.4)**2 for t in mb.t))
flowsheet.write('fs_dyn.nl')
#with open('factorized_fs.txt','w') as f:
# flowsheet.display(ostream=f)
return flowsheet
def main():
"""
Make the flowsheet object and solve
"""
ss_flowsheet = ss_sim.main()
flowsheet = Flowsheet(name='MB_Model')
# fill in values of IC parameters from steady state solve
setICs(flowsheet, ss_flowsheet)
# Fix variables
setInputs(flowsheet)
# Initialize at steady state
initialize_ss(flowsheet, ss_flowsheet)
mb = flowsheet.MB_fuel
# Then perturb
# ^ that function should go in this file, probably
# input: dict mapping state names (strings) to new values
# this seems like as much work as doing the perturbation...
# maybe just make a self contained function
#input_perturbation = { ('Solid_In_x',mb.t) : { ['Fe2O3'] : 0.25 },
# ('Solid_In_x',mb.t) : { ['Al2O3'] : 0.75 } }
solid_x_ptb = {'Fe2O3': 0.25, 'Fe3O4': 0.01, 'Al2O3': 0.74}
gas_y_ptb = {'CO2': 0.03999, 'H2O': 0.00001, 'CH4': 0.96}
perturbInputs(flowsheet,
0,
Solid_M=691.4,
Solid_T=1283,
Solid_x=solid_x_ptb,
Gas_F=150,
Gas_T=350,
Gas_y=gas_y_ptb)
#perturbInputs(flowsheet,0,Solid_M=691.4,Solid_T=1283,Solid_x=solid_x_ptb)
#perturbInputs(flowsheet,0,Solid_M=691.4,Solid_T=1283,Solid_x=solid_x_ptb,
# Gas_y=gas_y_ptb)
# perturb states
# should put this in a dedicated ~intialize~ function
# that also intelligently initializes the model after perturbation
mb.eq_d4.deactivate()
mb.eq_d5.deactivate()
mb.eq_d8.deactivate()
mb.eq_d9.deactivate()
mb.eq_d10.deactivate()
mb.eq_g7.deactivate()
mb.eq_g8.deactivate()
mb.eq_g10.deactivate()
mb.eq_g11.deactivate()
mb.eq_g12.deactivate()
mb.eq_g13.deactivate()
mb.eq_g14.deactivate()
mb.eq_g4.deactivate()
mb.eq_g5.deactivate()
mb.eq_g2.deactivate()
mb.Tg_GW.fix(0.0)
mb.Tw_GW.fix(0.0)
mb.Tg_refractory.fix(0.0)
mb.Tw_Wamb.fix()
mb.Tw.fix()
mb.Nuw.fix()
mb.Nu_ext.fix()
mb.hw.fix()
mb.hext.fix()
mb.hext2.fix()
mb.U.fix()
mb.Uw.fix()
mb.Pr_ext.fix()
mb.Ra.fix()
mb.Re.fix()
###
# other tentatively unused variables:
mb.mFe_mAl.fix(0.0)
mb.Solid_Out_M_Comp.fix()
'''
ts = time.time()
'''
print('\nBefore update:')
print_violated_constraints(flowsheet)
with open('pre_alg_update.txt', 'w') as f:
flowsheet.display(ostream=f)
###
## shouldn't do this because it will be applied for every point in time...
## should do this before performing an algebraic update for all time...
#dif_var_list = [ m.Cg.name, m.q.name, m.Tg.name, m.Ts.name ]
#for var in m.component_objects(Var):
#
# fixed = True
# for index in var:
# # if any of the coordinates of the variable are unfixed, then consider the variable unfixed
# # otherwise it is fixed, and disregard it as a possible algebraic variable
# if var[index].fixed == False:
# fixed = False
# break
# stale = True
# for index in var:
# if var[index].stale == False:
# stale = False
# break
#
# is_time_derivative = False
# if isinstance(var,DerivativeVar):
# if m.t in var.get_continuousset_list():
# is_time_derivative = True
# if fixed == False and (var.name not in dif_var_list) and is_time_derivative == False:
# if isinstance(var,SimpleVar):
# var.set_value(None)
# else:
# for index in var:
# var[index].set_value(None)
# print(var.local_name)
###
alg_update(flowsheet, 0)
update_time_derivatives(flowsheet, 0)
print('\nAfter update:')
print_violated_constraints(flowsheet)
with open('post_alg_update.txt', 'w') as f:
flowsheet.display(ostream=f)
'''
print("\n")
print("----------------------------------------------------------")
print('Total simulation time: ', value(time.time() - ts), " s")
print("----------------------------------------------------------")
# Print some variables
print_summary_fuel_reactor(flowsheet)
# Plot some variables
#results_plot_fuel_reactor(flowsheet)
#with open('m_fs.txt','w') as f:
# flowsheet.display(ostream=f)
# Store the flowsheet
'''
return flowsheet
def main():
"""
Make the flowsheet object and solve
"""
ss_flowsheet = ss_sim.main()
flowsheet = Flowsheet(name='MB_Model')
# fill in values of IC parameters from steady state solve
setICs(flowsheet, ss_flowsheet)
# Fix variables
setInputs(flowsheet)
# Initialize at steady state
initialize_ss(flowsheet, ss_flowsheet)
mb = flowsheet.MB_fuel
# Then perturb
solid_x_ptb = {'Fe2O3': 0.25, 'Fe3O4': 0.01, 'Al2O3': 0.74}
gas_y_ptb = {'CO2': 0.03999, 'H2O': 0.00001, 'CH4': 0.96}
#perturbInputs(flowsheet,0,Solid_M=691.4,Solid_T=1283,Solid_x=solid_x_ptb,
# Gas_F=150,Gas_T=350,Gas_y=gas_y_ptb)
for t in mb.t:
perturbInputs(flowsheet, t, Solid_M=691.4)
# should put this in a dedicated ~intialize~ function
# that also intelligently initializes the model after perturbation
mb.eq_d4.deactivate()
mb.eq_d5.deactivate()
mb.eq_d8.deactivate()
mb.eq_d9.deactivate()
mb.eq_d10.deactivate()
mb.eq_g7.deactivate()
mb.eq_g8.deactivate()
mb.eq_g10.deactivate()
mb.eq_g11.deactivate()
mb.eq_g12.deactivate()
mb.eq_g13.deactivate()
mb.eq_g14.deactivate()
mb.eq_g4.deactivate()
mb.eq_g5.deactivate()
mb.eq_g2.deactivate()
mb.Tg_GW.fix(0.0)
mb.Tw_GW.fix(0.0)
mb.Tg_refractory.fix(0.0)
mb.Tw_Wamb.fix()
mb.Tw.fix()
mb.Nuw.fix()
mb.Nu_ext.fix()
mb.hw.fix()
mb.hext.fix()
mb.hext2.fix()
mb.U.fix()
mb.Uw.fix()
mb.Pr_ext.fix()
mb.Ra.fix()
mb.Re.fix()
###
# other tentatively unused variables:
mb.mFe_mAl.fix(0.0)
mb.Solid_Out_M_Comp.fix()
for z in mb.z:
mb.dldz[z].fix()
mb.l[z].fix()
mb.dldz_disc_eq.deactivate()
mb.eq_a1.deactivate()
mb.eq_c5.deactivate()
# initialized at steady state, works regardless:
flowsheet.strip_bounds()
#for z in mb.z:
# for t in mb.t:
# mb.Cg[z,'CH4',t].setlb(1e-8)
diff_vars = [mb.Cg.name, mb.q.name, mb.Tg.name, mb.Ts.name]
time_derivatives = [
mb.dCgdt.name, mb.dqdt.name, mb.dTgdt.name, mb.dTsdt.name
]
inputs = [
mb.Gas_In_F.name, mb.Gas_In_y.name, mb.Solid_In_M.name,
mb.Solid_In_x.name, mb.Gas_In_Tg.name, mb.Solid_In_Ts.name,
mb.Gas_In_P.name
]
disturbances = []
# ^ appears there are no disturbance variables (Ta is not a variable)
geometry = [mb.l.name, mb.L.name, mb.Dr.name, mb.A_bed.name, mb.eps.name]
# ^ will be fixed; really should not even be variables (should be parameters), but w/e
# (are these the only variables that aren't indexed by time?)
alg_vars = find_algebraic_variables(flowsheet, diff_vars, time_derivatives,
inputs, disturbances, geometry)
for var in alg_vars:
print(var.name)
for t in mb.t:
fix_inlet_conditions(flowsheet, t)
fix_z0(flowsheet)
alg_var_data = get_alg_var_data(alg_vars)
print('Generating map')
avc_map = make_alg_var_const_map(flowsheet)
print('\nNot in avc_map:')
for var in alg_var_data:
if var.name not in avc_map:
print(var)
print('- - -')
for var in alg_var_data:
var.fix()
if not avc_map[var.name].active:
print(avc_map[var.name].name, 'already deactivated')
avc_map[var.name].deactivate()
tol = 1e-8
opt = SolverFactory('ipopt')
opt.options = {
'tol': tol,
'linear_solver': 'ma57',
'bound_push': 1e-8,
'max_cpu_time': 600,
'print_level': 5,
'output_file': 'ipopt_out.txt',
'linear_system_scaling': 'mc19',
'linear_scaling_on_demand': 'no',
'halt_on_ampl_error': 'yes'
}
flowsheet.write('sm_init.nl')
with open('sm_init.txt', 'w') as f:
flowsheet.display(ostream=f)
print_violated_constraints(flowsheet)
results = opt.solve(flowsheet,
tee=True,
symbolic_solver_labels=False,
keepfiles=False)
### unfix z-derivatives ###
for index in mb.dG_fluxdz_disc_eq:
mb.dG_fluxdz[index].unfix()
mb.dG_fluxdz_disc_eq[index].activate()
for index in mb.dS_fluxdz_disc_eq:
mb.dS_fluxdz[index].unfix()
mb.dS_fluxdz_disc_eq[index].activate()
for index in mb.dGh_fluxdz_disc_eq:
mb.dGh_fluxdz[index].unfix()
mb.dGh_fluxdz_disc_eq[index].activate()
for index in mb.dSh_fluxdz_disc_eq:
mb.dSh_fluxdz[index].unfix()
mb.dSh_fluxdz_disc_eq[index].activate()
for index in mb.S_flux:
mb.S_flux[index].unfix()
avc_map[mb.S_flux[index].name].activate()
print_violated_constraints(flowsheet)
results = opt.solve(flowsheet,
tee=True,
symbolic_solver_labels=False,
keepfiles=False)
# ^ this converges (quickly) to an infeasible point
print_violated_constraints(flowsheet)
with open('sm_sol.txt', 'w') as f:
flowsheet.display(ostream=f)
return flowsheet
def main():
"""
Make the flowsheet object and solve
"""
ss_flowsheet = ss_sim.main()
flowsheet = Flowsheet(name='MB_Model')
# fill in values of IC parameters from steady state solve
setICs(flowsheet,ss_flowsheet)
# Fix variables
setInputs(flowsheet)
# Initialize at steady state
initialize_ss(flowsheet,ss_flowsheet)
mb = flowsheet.MB_fuel
#write_differential_equations(flowsheet)
# Then perturb
ptb = {}
solid_x_ptb = {'Fe2O3':0.25, 'Fe3O4':0.01, 'Al2O3':0.74}
gas_y_ptb = {'CO2':0.04999, 'H2O':0.00001, 'CH4':0.95}
#perturbInputs(flowsheet,0,Solid_M=691.4,Solid_T=1283.15,Solid_x=solid_x_ptb,
# Gas_F=150,Gas_T=350,Gas_y=gas_y_ptb)
for t in mb.t:
ptb_inputs(flowsheet, t, Gas_T=350)
# should put this in a dedicated ~intialize~ function
# that also intelligently initializes the model after perturbation
mb.eq_d4.deactivate()
mb.eq_d5.deactivate()
mb.eq_d8.deactivate()
mb.eq_d9.deactivate()
mb.eq_d10.deactivate()
mb.eq_g7.deactivate()
mb.eq_g8.deactivate()
mb.eq_g10.deactivate()
mb.eq_g11.deactivate()
mb.eq_g12.deactivate()
mb.eq_g13.deactivate()
mb.eq_g14.deactivate()
mb.eq_g4.deactivate()
mb.eq_g5.deactivate()
mb.eq_g2.deactivate()
mb.Tg_GW.fix(0.0)
mb.Tw_GW.fix(0.0)
mb.Tg_refractory.fix(0.0)
mb.Tw_Wamb.fix()
mb.Tw.fix()
mb.Nuw.fix()
mb.Nu_ext.fix()
mb.hw.fix()
mb.hext.fix()
mb.hext2.fix()
mb.U.fix()
mb.Uw.fix()
mb.Pr_ext.fix()
mb.Ra.fix()
mb.Re.fix()
###
# other tentatively unused variables:
mb.mFe_mAl.fix(0.0)
mb.Solid_Out_M_Comp.fix()
# choose how to calculate certain algebraic variables:
mb.eq_c5.deactivate()
with open('dyn_fs_init.txt','w') as f:
flowsheet.display(ostream=f)
# Create a solver
tol = 1e-8
opt = SolverFactory('ipopt')
opt.options = {'tol': tol,
'linear_solver' : 'ma57',
'bound_push': 1e-8,
'max_cpu_time': 600,
'print_level': 5,
'output_file': 'ipopt_out.txt',
'linear_system_scaling': 'mc19',
'linear_scaling_on_demand' : 'no',
'halt_on_ampl_error': 'yes'}
flowsheet.write('fs_dyn.nl')
# initialized at steady state, works regardless:
flowsheet.strip_bounds()
print_violated_constraints(flowsheet,tol)
fs_list = clc_integrate(mb)
for t in fs_list:
load_fe(fs_list[t], flowsheet, t)
#for z in mb.z:
# for t in mb.t:
# mb.Cg[z,'CH4',t].setlb(1e-8)
#for t in mb.t:
# alg_update(flowsheet,t)
# update_time_derivatives(flowsheet,t)
with open('dyn_fs_init.txt','w') as f:
flowsheet.display(ostream=f)
print_violated_constraints(flowsheet,tol)
#mb.input_objective = Objective(expr=sum((mb.Solid_In_M[t] -601.4)**2 for t in mb.t))
#mb.cont_param.set_value(0)
#mb.dCgdt_disc_eq.deactivate()
#for index in mb.dCgdt: mb.dCgdt[index].fix(0)
#mb.dqdt_disc_eq.deactivate()
#for index in mb.dqdt: mb.dqdt[index].fix(0)
#mb.dTsdt_disc_eq.deactivate()
#for index in mb.dTsdt: mb.dTsdt[index].fix(0)
#mb.dTgdt_disc_eq.deactivate()
#for index in mb.dTgdt: mb.dTgdt[index].fix(0)
#mb.eq_h1.deactivate()
#mb.eq_h2.deactivate()
#mb.eq_h3.deactivate()
#mb.eq_h4.deactivate()
#flowsheet.write('fs_dyn.nl')
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#mb.dCgdt_disc_eq.activate()
#for index in mb.dCgdt: mb.dCgdt[index].unfix()
#mb.dqdt_disc_eq.activate()
#for index in mb.dqdt: mb.dqdt[index].unfix()
#mb.dTsdt_disc_eq.activate()
#for index in mb.dTsdt: mb.dTsdt[index].unfix()
#mb.dTgdt_disc_eq.activate()
#for index in mb.dTsdt: mb.dTgdt[index].unfix()
#mb.eq_h1.activate()
#mb.eq_h2.activate()
#mb.eq_h3.activate()
#mb.eq_h4.activate()
#print_violated_constraints(flowsheet,t)
#print('\n-----------------')
#print('#\epsilon = 1e-5#')
#print('-----------------\n')
#mb.cont_param.set_value(1e-5)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 1e-4#')
#print('-----------------\n')
#mb.cont_param.set_value(1e-4)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 1e-3#')
#print('-----------------\n')
#mb.cont_param.set_value(1e-3)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 1e-2#')
#print('-----------------\n')
#mb.cont_param.set_value(1e-2)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 2e-2#')
#print('-----------------\n')
#mb.cont_param.set_value(2e-2)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 5e-2#')
#print('-----------------\n')
#mb.cont_param.set_value(5e-2)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 8e-2#')
#print('-----------------\n')
#mb.cont_param.set_value(5e-2)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 1e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(1e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 2e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(2e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 4e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(4e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#
#print('\n-----------------')
#print('#\epsilon = 5e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(5e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 6e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(6e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 7e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(7e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 7.5e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(7.5e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 8e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(8e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#
#print('\n-----------------')
#print('#\epsilon = 8.5e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(8.5e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 8.8e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(8.8e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.1e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.1e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.2e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.2e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.3e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.3e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.4e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.4e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.5e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.5e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.6e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.6e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.7e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.7e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.8e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.8e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#print('\n-----------------')
#print('#\epsilon = 9.9e-1#')
#print('-----------------\n')
#mb.cont_param.set_value(9.9e-1)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
print('\n-----------------')
print('#\epsilon = 1#')
print('-----------------\n')
mb.cont_param.set_value(1)
results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
keepfiles=False)
results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
keepfiles=False)
print_violated_constraints(flowsheet,tol)
diff_vars = [mb.Cg, mb.q, mb.Tg, mb.Ts]
write_results(flowsheet, 'gas_T.csv', diff_vars)
#wd = os.getcwd()
#
#if not os.path.isdir(wd+'/results'):
# os.mkdir(wd+'/results')
#else:
# print('results directory already exists')
#with open('results/solid_m.csv', 'w', newline='') as f:
# writer = csv.writer(f, delimiter=',')
# row0 = []
# row0.append('name')
# # should really do this systematically, finding some 'max no. indices'
# max_n_idx = 3
# row0.append('idx1')
# row0.append('idx2')
# for t in mb.t:
# row0.append(str(t))
# writer.writerow(row0)
# for v in diff_vars:
# name = v.getname()
# if isinstance(v,SimpleVar):
# continue
# n_idx = v.index_set().dimen
# print(v.index_set().set_tuple)
# if mb.t not in v.index_set().set_tuple:
# continue
# idx_list = []
# if v.index_set() == mb.t:
# row = []
# row.append(name)
# idx_list.append('')
# idx_list.append('')
# for idx in idx_list:
# row.append(idx)
# for t in mb.t:
# row.append(v[t].value)
# writer.writerow(row)
# continue
# elif n_idx >= 2:
# if v.index_set().set_tuple[0] != mb.t:
# product = v.index_set().set_tuple[0]
# else:
# raise ValueError('Inconsistency, fix code')
# # now product is a generator:
# # either a set or a set product
# for s in v.index_set().set_tuple:
# if s != mb.t and s != product:
# product = product *s
# #for index in product:
# # print(index)
# for index in product:
# # index is either a hashable value or a tuple
# row = []
# row.append(name)
# if isinstance(index,tuple):
# for i in range(0,max_n_idx-1):
# try:
# row.append(index[i])
# except IndexError:
# row.append('')
# else:
# row.append(index)
# for i in range(1, max_n_idx-1):
# row.append('')
#
# for t in mb.t:
# if isinstance(index, tuple):
# full_index = index + (t,)
# else:
# full_index = (index,t)
# val = v[full_index].value
# row.append(val)
# writer.writerow(row)
# for index in v:
# row = []
# row.append(v.getname())
# idx_list = []
# for i in range(0,n_idx-1):
# # append the non-time indices of the variable
# idx_list.append(index[i])
# if n_idx < 3:
# # ^3 should be replaced with n_max, or something
# for i in range(0,3-n_index):
# # fill in the remaning indices
# idx_list.append('')
# # better way to do this, maybe:
# # for i in range(0,max):
# # try row.append(idx_list[i])
# # except oob error: row.append('')
# for idx in idx_list:
# row.append(idx)
# for t in m.t:
#for t in mb.t:
# alg_update(flowsheet,t)
# update_time_derivatives(flowsheet,t)
#print_violated_constraints(flowsheet,t)
#with open('dyn_fs_sol.txt','w') as f:
# flowsheet.display(ostream=f)
'''
print("\n")
print("----------------------------------------------------------")
print('Total simulation time: ', value(time.time() - ts), " s")
print("----------------------------------------------------------")
# Print some variables
print_summary_fuel_reactor(flowsheet)
# Plot some variables
#results_plot_fuel_reactor(flowsheet)
#with open('m_fs.txt','w') as f:
# flowsheet.display(ostream=f)
# Store the flowsheet
'''
return flowsheet
def main():
"""
Make the flowsheet object and solve
"""
ss_flowsheet = ss_sim.main()
flowsheet = Flowsheet(name='MB_Model')
# fill in values of IC parameters from steady state solve
setICs(flowsheet, ss_flowsheet)
# Fix variables
setInputs(flowsheet)
# Initialize at steady state
initialize_ss(flowsheet, ss_flowsheet)
mb = flowsheet.MB_fuel
# Then perturb
# ^ that function should go in this file, probably
# input: dict mapping state names (strings) to new values
# this seems like as much work as doing the perturbation...
# maybe just make a self contained function
#input_perturbation = { ('Solid_In_x',mb.t) : { ['Fe2O3'] : 0.25 },
# ('Solid_In_x',mb.t) : { ['Al2O3'] : 0.75 } }
perturbInputs(flowsheet)
# perturb states
# should put this in a dedicated ~intialize~ function
# that also intelligently initializes the model after perturbation
mb.eq_d4.deactivate()
mb.eq_d5.deactivate()
mb.eq_d8.deactivate()
mb.eq_d9.deactivate()
mb.eq_d10.deactivate()
mb.eq_g7.deactivate()
mb.eq_g8.deactivate()
mb.eq_g10.deactivate()
mb.eq_g11.deactivate()
mb.eq_g12.deactivate()
mb.eq_g13.deactivate()
mb.eq_g14.deactivate()
mb.eq_g4.deactivate()
mb.eq_g5.deactivate()
mb.eq_g2.deactivate()
mb.Tg_GW.fix(0.0)
mb.Tg_refractory.fix(0.0)
mb.Tw_Wamb.fix()
mb.Tw.fix()
mb.Nuw.fix()
mb.Nu_ext.fix()
mb.hw.fix()
mb.hext.fix()
mb.hext2.fix()
mb.U.fix()
mb.Uw.fix()
mb.Pr_ext.fix()
mb.Ra.fix()
mb.Re.fix()
###
'''
ts = time.time()
# Initialize fuel reactor
flowsheet.MB_fuel._initialize(outlvl=1,
optarg={"tol" : 1e-8,
"max_cpu_time" : 600,
"print_level" : 5,
"halt_on_ampl_error": 'yes'})
'''
# Create a solver
opt = SolverFactory('ipopt')
opt.options = {
'tol': 1e-8,
'linear_solver': 'ma27',
'bound_push': 1e-8,
'max_cpu_time': 600,
'print_level': 5,
'halt_on_ampl_error': 'yes'
}
flowsheet.write('fs.nl')
with open('dyn_fs.txt', 'w') as f:
flowsheet.display(ostream=f)
print('Constraints violated pre-solve:')
for const in flowsheet.MB_fuel.component_objects(Constraint, active=True):
if not isinstance(const, SimpleConstraint):
for idx in const:
if (value(const[idx].body) > value(const[idx].upper) + 1.0e-7) or \
(value(const[idx].body) < value(const[idx].lower) - 1.0e-7):
print(const.name, idx)
else:
if (value(const.body) > value(const.upper) + 1.0e-7) or \
(value(const.body) < value(const.lower) - 1.0e-7):
print(const.name)
print('- - -\n')
print('Variable bounds violated pre-solve:')
for var in flowsheet.MB_fuel.component_objects(Var, active=True):
# don't use IndexedComponent here, variables are always indexed components
# could also do this by iterating over component_objects(SimpleVar)...?
if not isinstance(var, SimpleVar):
for idx in var:
if not (var[idx].lb is None):
if (var[idx].value < var[idx].lb - 1.0e-7):
pdb.set_trace()
print(var.name, idx)
if not (var[idx].ub is None):
if (var[idx].value > var[idx].ub + 1.0e-7):
pdb.set_trace()
print(var.name, idx)
else:
if (var.value > var.ub + 1.0e-7) or \
(var.value < var.lb - 1.0e-7):
print(var.name)
print('- - -\n')
# initialized at steady state, works regardless:
flowsheet.strip_bounds()
for z in mb.z:
for t in mb.t:
mb.Cg[z, 'CH4', t].setlb(1e-6)
# want a function to integrate the model one step from a specified time point
# will call for all t
integrate(flowsheet, 0)
#results = opt.solve(flowsheet,tee=True,symbolic_solver_labels=False,
# keepfiles=False)
#with open('dyn_fs_sol.txt','w') as f:
# flowsheet.display(ostream=f)
'''
print("\n")
print("----------------------------------------------------------")
print('Total simulation time: ', value(time.time() - ts), " s")
print("----------------------------------------------------------")
# Print some variables
print_summary_fuel_reactor(flowsheet)
# Plot some variables
#results_plot_fuel_reactor(flowsheet)
#with open('m_fs.txt','w') as f:
# flowsheet.display(ostream=f)
# Store the flowsheet
'''
return flowsheet
def main():
# main routine
print('executing main routine')
ss_flowsheet = ss_sim.main()
time_set = [0,5,10,15,20,25,30,
35,40,45,50,55,60,65,70,
75,80,85,90,95,100,105,110,115,120,
125,130,135,140,145,150,155,160,165]
fs_list = {}
for t in time_set: fs_list[t] = Flowsheet()
# set initial conditions to steady state
for fe in time_set:
setICs(fs_list[fe],ss_flowsheet)
# initialize variables to steady state values
for fe in time_set:
initialize_ss(fs_list[fe],ss_flowsheet)
# set input values for each finite element model
for fe in time_set:
setInputs(fs_list[fe])
# perturb inputs
for fe in time_set:
for t in fs_list[fe].MB_fuel.t:
perturbInputs(fs_list[fe],t,Solid_M=691.4)
# fix and deactivate unused stuff
for t in time_set:
# should really put all this in its own utility function...
fs_list[t].MB_fuel.eq_d4.deactivate()
fs_list[t].MB_fuel.eq_d5.deactivate()
fs_list[t].MB_fuel.eq_d8.deactivate()
fs_list[t].MB_fuel.eq_d9.deactivate()
fs_list[t].MB_fuel.eq_d10.deactivate()
fs_list[t].MB_fuel.eq_g7.deactivate()
fs_list[t].MB_fuel.eq_g8.deactivate()
fs_list[t].MB_fuel.eq_g10.deactivate()
fs_list[t].MB_fuel.eq_g11.deactivate()
fs_list[t].MB_fuel.eq_g12.deactivate()
fs_list[t].MB_fuel.eq_g13.deactivate()
fs_list[t].MB_fuel.eq_g14.deactivate()
fs_list[t].MB_fuel.eq_g4.deactivate()
fs_list[t].MB_fuel.eq_g5.deactivate()
fs_list[t].MB_fuel.eq_g2.deactivate()
fs_list[t].MB_fuel.Tg_GW.fix(0.0)
fs_list[t].MB_fuel.Tw_GW.fix(0.0)
fs_list[t].MB_fuel.Tg_refractory.fix(0.0)
fs_list[t].MB_fuel.Tw_Wamb.fix()
fs_list[t].MB_fuel.Tw.fix()
fs_list[t].MB_fuel.Nuw.fix()
fs_list[t].MB_fuel.Nu_ext.fix()
fs_list[t].MB_fuel.hw.fix()
fs_list[t].MB_fuel.hext.fix()
fs_list[t].MB_fuel.hext2.fix()
fs_list[t].MB_fuel.U.fix()
fs_list[t].MB_fuel.Uw.fix()
fs_list[t].MB_fuel.Pr_ext.fix()
fs_list[t].MB_fuel.Ra.fix()
fs_list[t].MB_fuel.Re.fix()
###
# other tentatively unused variables:
fs_list[t].MB_fuel.mFe_mAl.fix(0.0)
fs_list[t].MB_fuel.Solid_Out_M_Comp.fix()
# choose how to calculate certain algebraic variables:
fs_list[t].MB_fuel.eq_c5.deactivate()
#implicit_integrate(fs_list[0])
#set_fe_ICs(fs_list[0], fs_list[5])
#initialize_next_fe(fs_list[0], fs_list[5])
with open('one_fe.txt','w') as f:
fs_list[0].display(ostream=f)
for i in range(0,len(time_set)):
print('hello')
print_violated_constraints(fs_list[time_set[i]])
implicit_integrate(fs_list[time_set[i]])
if i != len(time_set)-1:
set_fe_ICs(fs_list[time_set[i]],fs_list[time_set[i+1]])
initialize_next_fe(fs_list[time_set[i]],fs_list[time_set[i+1]])
# set initial conditions of next fe to final values of current fe
# initialize next fe, somehow
# a) initialize to initial conditions b) continuation c) explicit integrator
print([ fs_list[t].MB_fuel.Cg[0.00062,'H2O',5].value for t in time_set ] )
return fs_list
def clc_integrate(mb):
ss_flowsheet = ss_sim.main()
time_set = mb.t.get_finite_elements()
print(time_set)
ncp = 0
for t in mb.t:
print(t)
if t < time_set[1]:
ncp = ncp + 1
else:
break
print(ncp)
if ncp == 1:
method = 'BFD1'
elif ncp > 1:
method = 'OCLR'
else:
raise ValueError('Bad value of ncp when parsing full-horizon model')
#time_set = [0,5,10,15,20,25,30]
#35,40,45,50,55,60,65,70,
#75,80,85,90,95,100,105,110,115,120,
#125,130,135,140,145,150,155,160,165]
# Create a custom grid, fe_set
nfe = 6
fe_a = 1/4.0
fe_b = 0.2
fe_set = [0, 0.004]
for i in range(1,nfe+1):
if i < nfe*fe_a:
fe_set.append(i*fe_b/(nfe*fe_a))
elif i == nfe:
fe_set.append(1)
else:
fe_set.append(fe_b + (i-nfe*fe_a)*(1-fe_b)/(nfe*(1-fe_a)))
fs_list = {}
for i in range(0,len(time_set)):
if i != len(time_set)-1:
# assumption here that the last element of the time_set
# is the end of the horizon. Could this ever not be the case?
H = time_set[i+1] - time_set[i]
fs_list[time_set[i]] = make_flowsheet(press_drop ='Ergun',
t_dae_method = method,
horizon = H,
ncp_t = ncp)
# fs_list[t] = MB_CLC_fuel.MB(
# parent = None,
# z_dae_method = 'OCLR',
# #t_dae_method = 'OCLR',
# t_dae_method = method,
# press_drop = 'Ergun',
# fe_set = fe_set,
# ncp = 3,
# horizon = H,
# nfe_t = 1,
# ncp_t = ncp)
time_set.pop()
# set initial conditions to steady state
for fe in time_set:
setICs(fs_list[fe],ss_flowsheet)
# initialize variables to steady state values
for fe in time_set:
initialize_ss(fs_list[fe],ss_flowsheet)
# set input values for each finite element model
for fe in time_set:
setInputs(fs_list[fe])
# perturb inputs
for fe in time_set:
for t in fs_list[fe].MB_fuel.t:
perturbInputs(fs_list[fe],t,Solid_M=691.4)
# fix and deactivate unused stuff
#for t in time_set:
# # should really put all this in its own utility function...
# fs_list[t].MB_fuel.eq_d4.deactivate()
# fs_list[t].MB_fuel.eq_d5.deactivate()
# fs_list[t].MB_fuel.eq_d8.deactivate()
# fs_list[t].MB_fuel.eq_d9.deactivate()
# fs_list[t].MB_fuel.eq_d10.deactivate()
# fs_list[t].MB_fuel.eq_g7.deactivate()
# fs_list[t].MB_fuel.eq_g8.deactivate()
# fs_list[t].MB_fuel.eq_g10.deactivate()
# fs_list[t].MB_fuel.eq_g11.deactivate()
# fs_list[t].MB_fuel.eq_g12.deactivate()
# fs_list[t].MB_fuel.eq_g13.deactivate()
# fs_list[t].MB_fuel.eq_g14.deactivate()
# fs_list[t].MB_fuel.eq_g4.deactivate()
# fs_list[t].MB_fuel.eq_g5.deactivate()
# fs_list[t].MB_fuel.eq_g2.deactivate()
# fs_list[t].MB_fuel.Tg_GW.fix(0.0)
# fs_list[t].MB_fuel.Tw_GW.fix(0.0)
# fs_list[t].MB_fuel.Tg_refractory.fix(0.0)
# fs_list[t].MB_fuel.Tw_Wamb.fix()
# fs_list[t].MB_fuel.Tw.fix()
# fs_list[t].MB_fuel.Nuw.fix()
# fs_list[t].MB_fuel.Nu_ext.fix()
# fs_list[t].MB_fuel.hw.fix()
# fs_list[t].MB_fuel.hext.fix()
# fs_list[t].MB_fuel.hext2.fix()
# fs_list[t].MB_fuel.U.fix()
# fs_list[t].MB_fuel.Uw.fix()
# fs_list[t].MB_fuel.Pr_ext.fix()
# fs_list[t].MB_fuel.Ra.fix()
# fs_list[t].MB_fuel.Re.fix()
# ###
# # other tentatively unused variables:
# fs_list[t].MB_fuel.mFe_mAl.fix(0.0)
# fs_list[t].MB_fuel.Solid_Out_M_Comp.fix()
# # choose how to calculate certain algebraic variables:
# fs_list[t].MB_fuel.eq_c5.deactivate()
for t in time_set:
make_square(fs_list[t].MB_fuel)
#with open('one_fe.txt','w') as f:
# fs_list[0].display(ostream=f)
for i in range(0,len(time_set)):
implicit_integrate(fs_list[time_set[i]])
if i != len(time_set)-1:
set_fe_ICs(fs_list[time_set[i]],fs_list[time_set[i+1]])
initialize_next_fe(fs_list[time_set[i]],fs_list[time_set[i+1]])
# set initial conditions of next fe to final values of current fe
# initialize next fe, somehow
# a) initialize to initial conditions b) continuation c) explicit integrator
print([ fs_list[t].MB_fuel.Cg[0.00062,'H2O',5].value for t in time_set ] )
return fs_list
def clc_integrate(mb):
ss_flowsheet = ss_sim.main()
time_set = mb.t.get_finite_elements()
ncp = 0
for t in mb.t:
if t < time_set[1]:
ncp = ncp + 1
else:
break
if ncp == 1:
method = 'BFD1'
elif ncp > 1:
method = 'OCLR'
else:
raise ValueError('Bad value of ncp when parsing full-horizon model')
#time_set = [0,5,10,15,20,25,30]
#35,40,45,50,55,60,65,70,
#75,80,85,90,95,100,105,110,115,120,
#125,130,135,140,145,150,155,160,165]
# Create a custom grid, fe_set
nfe = 6
fe_a = 1/4.0
fe_b = 0.2
fe_set = [0, 0.004]
for i in range(1,nfe+1):
if i < nfe*fe_a:
fe_set.append(i*fe_b/(nfe*fe_a))
elif i == nfe:
fe_set.append(1)
else:
fe_set.append(fe_b + (i-nfe*fe_a)*(1-fe_b)/(nfe*(1-fe_a)))
fs_list = {}
for i in range(0,len(time_set)):
if i != len(time_set)-1:
# assumption here that the last element of the time_set
# is the end of the horizon. Could this ever not be the case?
H = time_set[i+1] - time_set[i]
fs_list[time_set[i]] = make_flowsheet(press_drop ='Ergun',
t_dae_method = method,
horizon = H,
ncp_t = ncp)
# fs_list[t] = MB_CLC_fuel.MB(
# parent = None,
# z_dae_method = 'OCLR',
# #t_dae_method = 'OCLR',
# t_dae_method = method,
# press_drop = 'Ergun',
# fe_set = fe_set,
# ncp = 3,
# horizon = H,
# nfe_t = 1,
# ncp_t = ncp)
time_set.pop()
# set initial conditions to steady state
for fe in time_set:
setICs(fs_list[fe],ss_flowsheet)
# initialize variables to steady state values
for fe in time_set:
initialize_ss(fs_list[fe],ss_flowsheet)
# set input values for each finite element model
for fe in time_set:
setInputs(fs_list[fe])
gas_y_ptb = {'CO2': 0.04999, 'H2O': 0.00001, 'CH4': 0.95}
# perturb inputs
copy_inputs(mb, fs_list)
#for fe in time_set:
# for t in fs_list[fe].MB_fuel.t:
# copy_inputs(fs_list[fe].MB_fuel, t, mb, fe+t)
#perturbInputs(fs_list[fe], t, Gas_y=gas_y_ptb)
for t in time_set:
make_square(fs_list[t].MB_fuel)
#with open('one_fe.txt','w') as f:
# fs_list[0].display(ostream=f)
for i in range(0,len(time_set)):
# should initialization occur here or in the imp_int function?
implicit_integrate(fs_list[time_set[i]])
if i != len(time_set)-1:
set_fe_ICs(fs_list[time_set[i]],fs_list[time_set[i+1]])
initialize_next_fe(fs_list[time_set[i]],fs_list[time_set[i+1]])
# set initial conditions of next fe to final values of current fe
# initialize next fe, somehow
# a) initialize to initial conditions b) continuation c) explicit integrator
fe_width = time_set[0]
# ^ assumes a fixed finite element width
print([ fs_list[t].MB_fuel.Cg[0.00062,'H2O',fe_width].value for t in time_set ] )
return fs_list
def main():
"""
Make the flowsheet object and solve
"""
ss_init = ss_sim.main()
flowsheet = Flowsheet(name='MB_Model')
# fill in values of IC parameters from steady state solve
setICs(flowsheet, ss_init)
# Fix variables
setInputs(flowsheet)
# Initialize at steady state
initialize_ss(flowsheet, ss_init)
mb = flowsheet.MB_fuel
#write_differential_equations(flowsheet)
# Then perturb
ptb = {}
solid_x_ptb = {'Fe2O3': 0.25, 'Fe3O4': 0.01, 'Al2O3': 0.74}
gas_y_ptb = {'CO2': 0.04999, 'H2O': 0.00001, 'CH4': 0.95}
#perturbInputs(flowsheet,0,Solid_M=691.4,Solid_T=1283.15,Solid_x=solid_x_ptb,
# Gas_F=150,Gas_T=350,Gas_y=gas_y_ptb)
for t in mb.t:
ptb_inputs(flowsheet, t, Solid_M=691.4)
ss_final = ss_sim.main(Solid_M=691.4)
with open('ss_init.txt', 'w') as f:
ss_init.display(ostream=f)
with open('ss_fin.txt', 'w') as f:
ss_final.display(ostream=f)
# should put this in a dedicated ~intialize~ function
# that also intelligently initializes the model after perturbation
mb.eq_d4.deactivate()
mb.eq_d5.deactivate()
mb.eq_d8.deactivate()
mb.eq_d9.deactivate()
mb.eq_d10.deactivate()
mb.eq_g7.deactivate()
mb.eq_g8.deactivate()
mb.eq_g10.deactivate()
mb.eq_g11.deactivate()
mb.eq_g12.deactivate()
mb.eq_g13.deactivate()
mb.eq_g14.deactivate()
mb.eq_g4.deactivate()
mb.eq_g5.deactivate()
mb.eq_g2.deactivate()
mb.Tg_GW.fix(0.0)
mb.Tw_GW.fix(0.0)
mb.Tg_refractory.fix(0.0)
mb.Tw_Wamb.fix()
mb.Tw.fix()
mb.Nuw.fix()
mb.Nu_ext.fix()
mb.hw.fix()
mb.hext.fix()
mb.hext2.fix()
mb.U.fix()
mb.Uw.fix()
mb.Pr_ext.fix()
mb.Ra.fix()
mb.Re.fix()
###
# other tentatively unused variables:
mb.mFe_mAl.fix(0.0)
mb.Solid_Out_M_Comp.fix()
# choose how to calculate certain algebraic variables:
mb.eq_c5.deactivate()
# Create a solver
tol = 1e-8
opt = SolverFactory('ipopt')
opt.options = {
'tol': tol,
'linear_solver': 'ma57',
'bound_push': 1e-8,
'max_cpu_time': 600,
'print_level': 5,
'output_file': 'ipopt_out.txt',
'linear_system_scaling': 'mc19',
#'linear_scaling_on_demand' : 'yes',
'halt_on_ampl_error': 'yes'
}
# initialized at steady state, works regardless:
flowsheet.strip_bounds()
print_violated_constraints(flowsheet, tol)
for t in mb.t:
alg_update(flowsheet, t)
update_time_derivatives(flowsheet, t)
constraint_list = []
for c in mb.component_objects(Constraint):
constraint_list.append(c)
create_suffixes(flowsheet)
vars_to_scale = []
data_scaled = []
con_data_2update = []
for var in mb.component_objects(Var):
# need static list of vars to scale
vars_to_scale.append(var)
for var in mb.component_data_objects(Var):
# should I create parallel blocks of scaled/unscaled constraints?
data_scaled.append(var)
for con in mb.component_data_objects(Constraint):
con_data_2update.append(con)
# should separate variables into input/response variables
# only scale response variables, or have separate function to
# scale input variables
#
# or, an is_alg_fcn_of() function would be nice, but probably very
# difficult to implement
#
# should be able to partition variables into useful categories...
# differential, algebraic-important, algebraic-auxiliary, time-derivative,
# space-derivative, geometric, (parameter,) input, input-algebraic
#
# such a partition would be incredibly powerful for a variety of applications
# e.g. identifying degrees of freedom, index reduction, initialization,
# model simplification
diff_vars = [mb.Cg, mb.q, mb.Tg, mb.Ts]
alg_vars = [
mb.Gas_Out_P, mb.Solid_Out_M, mb.Solid_Out_Ts, mb.Solid_Out_x, mb.CgT,
mb.Ctrans, mb.G_flux, mb.X_gas, mb.y, mb.ytot, mb.Ftotal, mb.F,
mb.Gas_M, mb.qT, mb.qtrans, mb.S_flux, mb.X_OC, mb.x, mb.xtot,
mb.Solid_M_total, mb.Solid_M, mb.Solid_F_total, mb.Solid_F, mb.mFe_mAl,
mb.P, mb.Tg_GS, mb.Ts_dHr, mb.vg, mb.umf, mb.v_diff, mb.Rep, mb.Pr,
mb.Pr_ext, mb.Ra, mb.Nu, mb.hf, mb.Gh_flux, mb.Sh_flux, mb.DH_rxn_s,
mb.cp_sol, mb.MW_vap, mb.rho_vap, mb.mu_vap, mb.cp_gas, mb.cp_vap,
mb.k_cpcv, mb.k_vap, mb.X, mb.X_term, mb.k, mb.r_gen, mb.rg, mb.rs,
mb.dG_fluxdz, mb.dS_fluxdz, mb.dPdz, mb.dGh_fluxdz, mb.dSh_fluxdz
]
dyn_vars = diff_vars + alg_vars
constraints_to_scan = []
for con in mb.component_objects(Constraint):
constraints_to_scan.append(con)
for var in dyn_vars:
print(var.name)
create_scale_values(var, flowsheet, ss_init, ss_final)
#create_scale_values(mb.Cg, flowsheet, ss_init, ss_final)
#with open('pre_constraint_update.txt', 'w') as f:
# flowsheet.display(ostream=f)
for con in constraints_to_scan:
# probably need to selectively update constraints as well
print(con.name)
update_constraint(con, flowsheet)
# TODO: -check that constraints have been properly updated,
# -check for violated constraints (in this single element),
# ^ should only be discretization equations...
# -try to solve model
# -have not scaled constraints yet, but should still solve...
#update_constraint(mb.eq_c4, flowsheet)
#update_constraint(mb.eq_b1, flowsheet)
#update_constraint(mb.eq_a2, flowsheet)
#update_constraint(mb.eq_p2, flowsheet)
with open('scale_vars.txt', 'w') as f:
# per custom, I should replace this with a 'write_scale_vars()' function
# line = ''
# for var in m.component_objects(Var):
# if isinstance(var, SimpleVar):
# line = line + var.name + ' ' + str(var.value)
# # ^probably need to re-format this value string
# try:
# if var.has_dev_exp == True:
# line = line + '\t' + var.dev.name + ' ' + str(value(var.dev))
# except AttributeError:
# pass
# else:
# try:
# if var.has_dev_exp == True:
# for index in var:
for var in data_scaled:
line = var.local_name + ' '
try:
if var.parent_component().has_dev_exp == True:
line = (line + var.parent_component().dev_exp[
var.index()].expr.to_string())
except AttributeError:
line = line + ' has no deviation expression'
line = line + '\n'
f.write(line)
write_constraint_expressions(con_data_2update)
#print(mb.eq_p2[0.00062,0].expr.to_string())
#print(mb.eq_p2.dev_con[0.00062,0].expr.to_string())
with open('dyn_scaled_init.txt', 'w') as f:
flowsheet.display(ostream=f)
mb.cont_param.set_value(1)
return flowsheet