ssr_binary.add_event('recycle_on', 'flow_sheet.column.output_state', 0)
ssr_binary.add_event('recycle_off', 'flow_sheet.column.output_state', 1)
ssr_binary.add_event_dependency('feed_on', ['inject_off'])
ssr_binary.add_event_dependency('feed_off', ['feed_on', 'feed_duration'],
[1, 1])
ssr_binary.add_event_dependency(
'inject_off', ['inject_on', 'feed_duration', 'recycle_off', 'recycle_on'],
[1, 1, 1, -1])
# Set process times
ssr_binary.cycle_time = 191.11
ssr_binary.feed_duration.time = 42.956
ssr_binary.recycle_on.time = 354.081
ssr_binary.recycle_off.time = 358.552
if __name__ == '__main__':
from CADETProcess.simulation import Cadet
process_simulator = Cadet()
process_simulator.evaluate_stationarity = True
process_simulator.n_cycles_min = 4
ssr_binary_sim_results = process_simulator.simulate(ssr_binary)
ssr_binary_sim_results.save(case_dir)
from CADETProcess.fractionation import optimize_fractionation
ssr_binary_frac = optimize_fractionation(
ssr_binary_sim_results.chromatograms,
ssr_binary.process_meta,
purity_required=0.95)
ssr_binary_frac.save(case_dir)
#!/usr/bin/env python3
from CADETProcess.simulation import Cadet, ProcessEvaluator
from CADETProcess.optimization import OptimizationProblem
from CADETProcess.common import RankedPerformance
from case_2a_simulation import batch_long_ternary
process_simulator = Cadet()
process_simulator.evaluate_stationarity = True
ranking = [1, 1, 1]
purity_required = [0.95, 0.95, 0.95]
evaluator = ProcessEvaluator(process_simulator, purity_required, ranking)
optimization_problem = OptimizationProblem(batch_long_ternary,
evaluator,
name='case_2a',
save_log=True)
def objective_function(performance):
ranked = RankedPerformance(performance, ranking)
return -ranked.productivity * ranked.recovery * ranked.eluent_consumption
optimization_problem.objective_fun = objective_function
optimization_problem.add_variable('cycle_time', lb=10, ub=1200)
optimization_problem.add_variable('feed_duration.time', lb=10, ub=100)
sys.add_connection(z1, z2)
sys.add_connection(z2, z3)
sys.add_connection(z3, z0)
f_42 = 1.4e-7
f_45 = 7.66e-7
w_r = f_42 / (f_42 + f_45)
f_63 = 1.54e-7
f_67 = 8.08e-7
w_e = f_63 / (f_63 + f_67)
sys.set_output_state(z0, [w_r, 1 - w_r])
sys.set_output_state(z2, [w_e, 1 - w_e])
sys.switch_time = 180
fs = sys.build_flow_sheet()
proc = sys.build_process()
from CADETProcess.simulation import Cadet
process_simulator = Cadet(
cadet_bin_path='/home/jo/software/cadet/cadet4.2.0/bin/',
temp_dir='/dev/shm')
process_simulator.evaluate_stationarity = True
process_simulator.n_cycles = 1
process_simulator.solver_parameters.NTHREADS = 1
proc_results = process_simulator.simulate(proc, file_path='new.h5')
#!/usr/bin/env python3
from CADETProcess.simulation import Cadet, ProcessEvaluator
from CADETProcess.optimization import OptimizationProblem
from CADETProcess.common import RankedPerformance
from case_3a_simulation import ssr_binary
process_simulator = Cadet()
process_simulator.evaluate_stationarity = True
process_simulator.n_cycles_min = 4
ranking = [1, 1]
purity_required = [0.95, 0.95]
evaluator = ProcessEvaluator(process_simulator, purity_required, ranking)
optimization_problem = OptimizationProblem(ssr_binary,
evaluator,
name='case_3a',
save_log=True)
def objective_function(performance):
ranked = RankedPerformance(performance, ranking)
return -ranked.productivity * ranked.recovery * ranked.eluent_consumption
optimization_problem.objective_fun = objective_function
t0 = 190 # Dead time of column, determined from Q
optimization_problem.add_variable('cycle_time', lb=10, ub=600)
## Create Events and Durations
Q = 2.88e-8
feed_duration = 7500.0
gradient_start = 9500.0
gradient_slope = Q / (lwe.cycle_time - gradient_start)
lwe.add_event('feed_on', 'flow_sheet.feed.flow_rate', Q)
lwe.add_event('feed_off', 'flow_sheet.feed.flow_rate', 0.0)
lwe.add_duration('feed_duration', time=feed_duration)
lwe.add_event_dependency('feed_off', ['feed_on', 'feed_duration'], [1, 1])
lwe.add_event('eluent_initialization', 'flow_sheet.eluent.flow_rate', 0)
lwe.add_event('eluent_salt_initialization', 'flow_sheet.eluent_salt.flow_rate',
0)
lwe.add_event('wash', 'flow_sheet.eluent.flow_rate', Q, time=feed_duration)
lwe.add_event_dependency('wash', ['feed_off'])
lwe.add_event('neg_grad_start', 'flow_sheet.eluent.flow_rate',
[Q, -gradient_slope], gradient_start)
lwe.add_event('pos_grad_start', 'flow_sheet.eluent_salt.flow_rate',
[0, gradient_slope])
lwe.add_event_dependency('pos_grad_start', ['neg_grad_start'])
if __name__ == '__main__':
from CADETProcess.simulation import Cadet
process_simulator = Cadet()
lwe_sim_results = process_simulator.simulate(lwe)
lwe_sim_results.solution.outlet.outlet.plot()
def simulate_solid_equilibria(binding_model,
buffer,
unit_model='cstr',
flush=None):
process_name = flow_sheet_name = 'initial_conditions'
component_system = binding_model.component_system
# Unit Operations
buffer_source = Source(component_system, name='buffer')
buffer_source.c = buffer
if flush is None:
flush = buffer
flush_source = Source(component_system, 'flush')
flush_source.c = flush
if unit_model == 'cstr':
unit = Cstr(component_system, 'cstr')
unit.porosity = 0.5
unit.V = 1e-6
Q = 1e-6
cycle_time = 1000 * unit.volume / Q
unit.flow_rate = Q
elif unit_model == 'column':
unit = LumpedRateModelWithoutPores(component_system, name='column')
unit.length = 0.1
unit.diameter = 0.01
unit.axial_dispersion = 1e-6
unit.total_porosity = 0.7
Q = 60 / (60 * 1e6)
cycle_time = 10 * unit.volume / Q
try:
q = binding_model.n_comp * binding_model.n_states * [0]
q[0] = binding_model.capacity
unit.q = q
except AttributeError:
pass
unit.binding_model = binding_model
outlet = Sink(component_system, name='outlet')
# flow sheet
fs = FlowSheet(component_system, name=flow_sheet_name)
fs.add_unit(buffer_source)
fs.add_unit(flush_source)
fs.add_unit(unit)
fs.add_unit(outlet, chromatogram_sink=True)
fs.add_connection(buffer_source, unit)
fs.add_connection(flush_source, unit)
fs.add_connection(unit, outlet)
# Process
proc = Process(fs, name=process_name)
proc.cycle_time = cycle_time
## Create Events and Durations
proc.add_event('buffer_on', 'flow_sheet.buffer.flow_rate', Q)
proc.add_event('buffer_off', 'flow_sheet.buffer.flow_rate', 0,
0.9 * cycle_time)
proc.add_event('eluent_off', 'flow_sheet.flush.flow_rate', 0.0, 0.0)
proc.add_event('eluent_on', 'flow_sheet.flush.flow_rate', Q,
0.9 * cycle_time)
# Simulator
process_simulator = Cadet()
process_simulator.unit_return_parameters.write_solution_bulk = True
process_simulator.unit_return_parameters.write_solution_solid = True
proc_results = process_simulator.simulate(proc)
if unit_model == 'cstr':
init_q = proc_results.solution[unit.name].solid.solution[-1, :]
elif unit_model == 'column':
init_q = proc_results.solution[unit.name].solid.solution[-1, 0, :]
return init_q.tolist()
batch_long_ternary.add_event('feed_on', 'flow_sheet.feed.flow_rate', Q)
batch_long_ternary.add_event('feed_off', 'flow_sheet.feed.flow_rate', 0.0)
batch_long_ternary.add_duration('feed_duration', 'feed_on', 'feed_off')
batch_long_ternary.add_event('eluent_on', 'flow_sheet.eluent.flow_rate', Q)
batch_long_ternary.add_event('eluent_off', 'flow_sheet.eluent.flow_rate', 0.0)
batch_long_ternary.add_event_dependency('eluent_on', ['feed_off'])
batch_long_ternary.add_event_dependency('eluent_off', ['feed_on'])
batch_long_ternary.add_event_dependency('feed_off',
['feed_on', 'feed_duration'], [1, 1])
batch_long_ternary.cycle_time = 135.134
batch_long_ternary.feed_duration.time = 16.268
if __name__ == '__main__':
from CADETProcess.simulation import Cadet
process_simulator = Cadet()
process_simulator.evaluate_stationarity = True
batch_long_ternary_sim_results = process_simulator.simulate(
batch_long_ternary)
batch_long_ternary_sim_results.save(case_dir)
from CADETProcess.fractionation import optimize_fractionation
batch_long_ternary_frac = optimize_fractionation(
batch_long_ternary_sim_results.chromatograms,
batch_long_ternary.process_meta,
purity_required=[0, 0.95, 0])
batch_long_ternary_frac.save(case_dir)
batch_binary.add_event_dependency('eluent_on', ['feed_off'])
batch_binary.add_event_dependency('eluent_off', ['feed_on'])
batch_binary.add_event_dependency('feed_off', ['feed_on', 'feed_duration'],
[1, 1])
## Set process times
batch_binary.cycle_time = 176.45
batch_binary.feed_duration.time = 51.95
x = [374.4299005082142, 118.65641374452873]
batch_binary.cycle_time = x[0]
batch_binary.feed_duration.time = x[1]
if __name__ == '__main__':
from CADETProcess.simulation import Cadet
process_simulator = Cadet()
process_simulator.evaluate_stationarity = False
process_simulator.n_cycles = 4
batch_binary_sim_results = process_simulator.simulate(batch_binary)
from CADETProcess.fractionation import FractionationOptimizer
purity_required = [0.95, 0.95]
frac_opt = FractionationOptimizer(purity_required)
batch_binary_frac = frac_opt.optimize_fractionation(
batch_binary_sim_results.chromatograms,
batch_binary.process_meta,
)
Q = 60 / (60 * 1e6)
# Create Events and Durations
batch_ternary.add_event('feed_on', 'flow_sheet.feed.flow_rate', Q)
batch_ternary.add_event('feed_off', 'flow_sheet.feed.flow_rate', 0.0)
batch_ternary.add_duration('feed_duration', 'feed_on', 'feed_off')
batch_ternary.add_event('eluent_on', 'flow_sheet.eluent.flow_rate', Q)
batch_ternary.add_event('eluent_off', 'flow_sheet.eluent.flow_rate', 0.0)
batch_ternary.add_event_dependency('eluent_on', ['feed_off'])
batch_ternary.add_event_dependency('eluent_off', ['feed_on'])
batch_ternary.add_event_dependency('feed_off', ['feed_on', 'feed_duration'],
[1, 1])
batch_ternary.cycle_time = 600
batch_ternary.feed_duration.time = 60
if __name__ == '__main__':
from CADETProcess.simulation import Cadet
process_simulator = Cadet()
process_simulator.n_cycles = 1
batch_ternary_sim_results = process_simulator.simulate(batch_ternary)
from CADETProcess.fractionation import optimize_fractionation
batch_ternary_frac = optimize_fractionation(
batch_ternary_sim_results.chromatograms,
batch_ternary.process_meta,
purity_required=0.95)
batch_ternary_frac.save(case_dir, start=2.5)
serial_ternary.add_event('serial_on', 'flow_sheet.column_1.output_state', 1)
serial_ternary.add_event('serial_off', 'flow_sheet.column_1.output_state', 0)
serial_ternary.add_event('eluent_2_on', 'flow_sheet.eluent_2.flow_rate', Q)
serial_ternary.add_event('eluent_2_off', 'flow_sheet.eluent_2.flow_rate', 0.0)
serial_ternary.add_event_dependency('eluent_2_on', ['serial_off'], [1])
serial_ternary.add_event_dependency('eluent_2_off', ['serial_on'], [1])
# Set process times
serial_ternary.cycle_time = 210.121
serial_ternary.feed_duration.time = 45.859
serial_ternary.serial_on.time = 119.017
serial_ternary.serial_off.time = 47.634
if __name__ == '__main__':
from CADETProcess.simulation import Cadet
process_simulator = Cadet()
process_simulator.evaluate_stationarity = True
serial_ternary_sim_results = process_simulator.simulate(serial_ternary)
serial_ternary_sim_results.save(case_dir)
from CADETProcess.fractionation import optimize_fractionation
serial_ternary_frac = optimize_fractionation(
serial_ternary_sim_results.chromatograms,
serial_ternary.process_meta,
purity_required=[0.95, 0.95, 0])
serial_ternary_frac.save(case_dir)