tespy.networks module

tespy.networks.network module

Module for tespy network class.

The network is the container for every TESPy simulation. The network class automatically creates the system of equations describing topology and parametrization of a specific model and solves it.

This file is part of project TESPy (github.com/oemof/tespy). It’s copyrighted by the contributors recorded in the version control history of the file, available from its original location tespy/networks/networks.py

SPDX-License-Identifier: MIT

class tespy.networks.network.Network(**kwargs)

Bases: object

Class component is the base class of all TESPy components.

Parameters:

• h_range (list) – List with minimum and maximum values for enthalpy value range.

• h_unit (str) – Specify the unit for enthalpy: ‘J / kg’, ‘kJ / kg’, ‘MJ / kg’.

• iterinfo (boolean) – Print convergence progress to console.

• m_range (list) – List with minimum and maximum values for mass flow value range.

• m_unit (str) – Specify the unit for mass flow: ‘kg / s’, ‘t / h’.

• p_range (list) – List with minimum and maximum values for pressure value range.

• p_unit (str) – Specify the unit for pressure: ‘Pa’, ‘psi’, ‘bar’, ‘MPa’.

• s_unit (str) – Specify the unit for specific entropy: ‘J / kgK’, ‘kJ / kgK’, ‘MJ / kgK’.

• T_unit (str) – Specify the unit for temperature: ‘K’, ‘C’, ‘F’, ‘R’.

• v_unit (str) – Specify the unit for volumetric flow: ‘m3 / s’, ‘m3 / h’, ‘l / s’, ‘l / h’.

• vol_unit (str) – Specify the unit for specific volume: ‘m3 / kg’, ‘l / kg’.

• x_unit (str) – Specify the unit for steam mass fraction: ‘-’, ‘%’.

Note

Unit specification is optional: If not specified the SI unit (first element in above lists) will be applied!

Range specification is optional, too. The value range is used to stabilize the newton algorithm. For more information see the “getting started” section in the online-documentation.

Example

Basic example for a setting up a tespy.networks.network.Network object. Specifying the fluids is mandatory! Unit systems, fluid property range and iterinfo are optional.

Standard value for iterinfo is True. This will print out convergence progress to the console. You can stop the printouts by setting this property to False.

>>> from tespy.networks import Network
>>> mynetwork = Network(p_unit='bar', T_unit='C')
>>> mynetwork.set_attr(p_range=[1, 10])
>>> type(mynetwork)
<class 'tespy.networks.network.Network'>
>>> mynetwork.set_attr(iterinfo=False)
>>> mynetwork.iterinfo
False
>>> mynetwork.set_attr(iterinfo=True)
>>> mynetwork.iterinfo
True

A simple network consisting of a source, a pipe and a sink. This example shows how the printout parameter can be used. We specify printout=False for both connections, the pipe as well as the heat bus. Therefore the .print_results() method should not print any results.

>>> from tespy.networks import Network
>>> from tespy.components import Source, Sink, Pipe
>>> from tespy.connections import Connection, Bus
>>> nw = Network(T_unit='C', p_unit='bar', v_unit='m3 / s')
>>> so = Source('source')
>>> si = Sink('sink')
>>> p = Pipe('pipe', Q=0, pr=0.95, printout=False)
>>> a = Connection(so, 'out1', p, 'in1')
>>> b = Connection(p, 'out1', si, 'in1')
>>> nw.add_conns(a, b)
>>> a.set_attr(fluid={'CH4': 1}, T=30, p=10, m=10, printout=False)
>>> b.set_attr(printout=False)
>>> b = Bus('heat bus')
>>> b.add_comps({'comp': p})
>>> nw.add_busses(b)
>>> b.set_attr(printout=False)
>>> nw.set_attr(iterinfo=False)
>>> nw.solve('design')
>>> nw.print_results()

add_busses(*args)

Add one or more busses to the network.

Parameters:

b (tespy.connections.bus.Bus) – The bus to be added to the network, bus objects bi add_busses(b1, b2, b3, ...).

add_conns(*args)

Add one or more connections to the network.

Parameters:

c (tespy.connections.connection.Connection) – The connection to be added to the network, connections objects ci add_conns(c1, c2, c3, ...).

add_subsys(*args)

Add one or more subsystems to the network.

Parameters:

c (tespy.components.subsystem.Subsystem) – The subsystem to be added to the network, subsystem objects si network.add_subsys(s1, s2, s3, ...).

add_ude(*args)

Add a user defined function to the network.

Parameters:

c (tespy.tools.helpers.UserDefinedEquation) – The objects to be added to the network, UserDefinedEquation objects ci add_ude(c1, c2, c3, ...).

check_busses(b)

Checksthe busses to be added for type, duplicates and identical labels.

Parameters:

b (tespy.connections.bus.Bus) – The bus to be checked.

check_components()

check_connection_properties(c)

Check for invalid fluid property values.

Parameters:

c (tespy.connections.connection.Connection) – Connection to check fluid properties.

check_conns()

Check connections for multiple usage of inlets or outlets.

check_network()

Check if components are connected properly within the network.

check_variable_bounds()

create_fluid_wrapper_branches()

create_massflow_and_fluid_branches()

del_busses(*args)

Remove one or more busses from the network.

Parameters:

b (tespy.connections.bus.Bus) – The bus to be removed from the network, bus objects bi add_busses(b1, b2, b3, ...).

del_conns(*args)

Remove one or more connections from the network.

Parameters:

c (tespy.connections.connection.Connection) – The connection to be removed from the network, connections objects ci del_conns(c1, c2, c3, ...).

del_ude(*args)

Remove a user defined function from the network.

Parameters:

c (tespy.tools.helpers.UserDefinedEquation) – The objects to be deleted from the network, UserDefinedEquation objects ci del_ude(c1, c2, c3, ...).

export(json_file_path=None)

Export the parametrization and structure of the Network instance

Parameters:

json_file_path (str, optional) – Path for exporting to filesystem. If path is None, the data are only returned and not written to the filesystem, by default None.

Returns:

dict – Parametrization and structure of the Network instance.

classmethod from_json(json_file_path)

Load a network from a base path.

Parameters:

path (str) – The path to the network data.

Returns:

nw (tespy.networks.network.Network) – TESPy networks object.

Note

If you export the network structure of an existing TESPy network, it will be saved to the path you specified. The structure of the saved data in that path is the structure you need to provide in the path for loading the network.

The structure of the path must be as follows:

• Folder: path (e.g. ‘mynetwork’)

• Component.json

• Connection.json

• Bus.json

• Network.json

Example

Create a network and export it. This is followed by loading the network with the network_reader module. All network information stored will be passed to a new network object. Components, connections and busses will be accessible by label. The following example setup is simple gas turbine setup with compressor, combustion chamber and turbine. The fuel is fed from a pipeline and throttled to the required pressure while keeping the temperature at a constant value.

>>> from tespy.components import (Sink, Source, CombustionChamber,
... Compressor, Turbine, SimpleHeatExchanger)
>>> from tespy.connections import Connection, Ref, Bus
>>> from tespy.networks import Network
>>> import shutil
>>> nw = Network(p_unit='bar', T_unit='C', h_unit='kJ / kg', iterinfo=False)
>>> air = Source('air')
>>> f = Source('fuel')
>>> c = Compressor('compressor')
>>> comb = CombustionChamber('combustion')
>>> t = Turbine('turbine')
>>> p = SimpleHeatExchanger('fuel preheater')
>>> si = Sink('sink')
>>> inc = Connection(air, 'out1', c, 'in1', label='ambient air')
>>> cc = Connection(c, 'out1', comb, 'in1')
>>> fp = Connection(f, 'out1', p, 'in1')
>>> pc = Connection(p, 'out1', comb, 'in2')
>>> ct = Connection(comb, 'out1', t, 'in1')
>>> outg = Connection(t, 'out1', si, 'in1')
>>> nw.add_conns(inc, cc, fp, pc, ct, outg)

Specify component and connection properties. The intlet pressure at the compressor and the outlet pressure after the turbine are identical. For the compressor, the pressure ratio and isentropic efficiency are design parameters. A compressor map (efficiency vs. mass flow and pressure rise vs. mass flow) is selected for the compressor. Fuel is Methane.

>>> c.set_attr(pr=10, eta_s=0.88, design=['eta_s', 'pr'],
... offdesign=['char_map_eta_s', 'char_map_pr'])
>>> t.set_attr(eta_s=0.9, design=['eta_s'],
... offdesign=['eta_s_char', 'cone'])
>>> comb.set_attr(lamb=2)
>>> inc.set_attr(fluid={'N2': 0.7556, 'O2': 0.2315, 'Ar': 0.0129}, T=25, p=1)
>>> fp.set_attr(fluid={'CH4': 0.96, 'CO2': 0.04}, T=25, p=40)
>>> pc.set_attr(T=25)
>>> outg.set_attr(p=Ref(inc, 1, 0))
>>> power = Bus('total power output')
>>> power.add_comps({"comp": c, "base": "bus"}, {"comp": t})
>>> nw.add_busses(power)

For a stable start, we specify the fresh air mass flow.

>>> inc.set_attr(m=3)
>>> nw.solve('design')

The total power output is set to 1 MW, electrical or mechanical efficiencies are not considered in this example. The documentation example in class tespy.connections.bus.Bus provides more information on efficiencies of generators, for instance.

>>> comb.set_attr(lamb=None)
>>> ct.set_attr(T=1100)
>>> inc.set_attr(m=None)
>>> power.set_attr(P=-1e6)
>>> nw.solve('design')
>>> nw.lin_dep
False
>>> nw.save('design_state.json')
>>> _ = nw.export('exported_nwk.json')
>>> mass_flow = round(nw.get_conn('ambient air').m.val_SI, 1)
>>> c.set_attr(igva='var')
>>> nw.solve('offdesign', design_path='design_state.json')
>>> round(t.eta_s.val, 1)
0.9
>>> power.set_attr(P=-0.75e6)
>>> nw.solve('offdesign', design_path='design_state.json')
>>> nw.lin_dep
False
>>> eta_s_t = round(t.eta_s.val, 3)
>>> igva = round(c.igva.val, 3)
>>> eta_s_t
0.898
>>> igva
20.138

The designed network is exported to the path ‘exported_nwk’. Now import the network and recalculate. Check if the results match with the previous calculation in design and offdesign case.

>>> imported_nwk = Network.from_json('exported_nwk.json')
>>> imported_nwk.set_attr(iterinfo=False)
>>> imported_nwk.solve('design')
>>> imported_nwk.lin_dep
False
>>> round(imported_nwk.get_conn('ambient air').m.val_SI, 1) == mass_flow
True
>>> round(imported_nwk.get_comp('turbine').eta_s.val, 3)
0.9
>>> imported_nwk.get_comp('compressor').set_attr(igva='var')
>>> imported_nwk.solve('offdesign', design_path='design_state.json')
>>> round(imported_nwk.get_comp('turbine').eta_s.val, 3)
0.9
>>> imported_nwk.busses['total power output'].set_attr(P=-0.75e6)
>>> imported_nwk.solve('offdesign', design_path='design_state.json')
>>> round(imported_nwk.get_comp('turbine').eta_s.val, 3) == eta_s_t
True
>>> round(imported_nwk.get_comp('compressor').igva.val, 3) == igva
True
>>> shutil.rmtree('./exported_nwk', ignore_errors=True)
>>> shutil.rmtree('./design_state', ignore_errors=True)

get_attr(key)

Get the value of a network attribute.

Parameters:

key (str) – The attribute you want to retrieve.

Returns:

out – Specified attribute.

get_comp(label)

Get Component via label.

Parameters:

label (str) – Label of the Component object.

Returns:

c (tespy.components.component.Component) – Component object with specified label, None if no Component of the network has this label.

get_conn(label)

Get Connection via label.

Parameters:

label (str) – Label of the Connection object.

Returns:

c (tespy.connections.connection.Connection) – Connection object with specified label, None if no Connection of the network has this label.

init_comp_design_params(c, df)

Write design point information to components.

Parameters:

• component (tespy.components.component.Component) – Write design point information to this component.

• data (pandas.core.series.Series, pandas.core.frame.DataFrame) – Design point information.

init_components()

Set up necessary component information.

init_conn_design_params(c, df)

Write design point information to connections.

Parameters:

• c (tespy.connections.connection.Connection) – Write design point information to this connection.

• df (pandas.core.frame.DataFrame) – Dataframe containing design point information.

init_conn_params_from_path(c, df)

Write parameter information from init_path to connections.

Parameters:

• c (tespy.connections.connection.Connection) – Write init path information to this connection.

• df (pandas.core.frame.DataFrame) – Dataframe containing init path information.

init_count_connections_parameters(c)

Count the number of parameters set on a connection.

Parameters:

c (tespy.connections.connection.Connection) – Connection count parameters of.

init_design()

Initialise a design calculation.

Offdesign parameters are unset, design parameters are set. If local_offdesign is True for connections or components, the design point information are read from the .csv-files in the respective design_path. In this case, the design values are unset, the offdesign values set.

init_offdesign()

Switch components and connections from design to offdesign mode.

Note

components

All parameters stated in the component’s attribute cp.design will be unset and all parameters stated in the component’s attribute cp.offdesign will be set instead.

Additionally, all component parameters specified as variables are unset and the values from design point are set.

connections

All parameters given in the connection’s attribute c.design will be unset and all parameters stated in the connections’s attribute cp.offdesign will be set instead. This does also affect referenced values!

init_offdesign_params()

Read design point information from specified design_path.

If a design_path has been specified individually for components or connections, the data will be read from the specified individual path instead.

Note

The methods tespy.networks.network.Network.init_comp_design_params() (components) and the tespy.networks.network.Network.init_conn_design_params() (connections) handle the parameter specification.

init_precalc_properties(c)

Precalculate enthalpy values for connections.

Precalculation is performed only if temperature, vapor mass fraction, temperature difference to boiling point or phase is specified.

Parameters:

c (tespy.connections.connection.Connection) – Connection to precalculate values for.

init_properties()

Initialise the fluid properties on every connection of the network.

• Set generic starting values for mass flow, enthalpy and pressure if not user specified, read from init_path or available from previous calculation.

• For generic starting values precalculate enthalpy value at points of given temperature, vapor mass fraction, temperature difference to boiling point or fluid state.

init_set_properties()

Specification of SI values for user set values.

init_val0(c, key)

Set starting values for fluid properties.

The component classes provide generic starting values for their inlets and outlets.

Parameters:

c (tespy.connections.connection.Connection) – Connection to initialise.

initialise()

Initilialise the network depending on calclation mode.

Design

• Generic fluid composition and fluid property initialisation.

• Starting values from initialisation path if provided.

Offdesign

• Check offdesign path specification.

• Set component and connection design point properties.

• Switch from design/offdesign parameter specification.

iterinfo_body(print_results=True)

Print convergence progress.

iterinfo_head(print_results=True)

Print head of convergence progress.

iterinfo_tail(print_results=True)

Print tail of convergence progress.

matrix_inversion()

Invert matrix of derivatives and caluclate increment.

postprocessing()

Calculate connection, bus and component parameters.

presolve_fluid_topology()

presolve_massflow_topology()

print_components(c, *args)

Get the print values for the component data.

Parameters:

• c (pandas.core.series.Series) – Series containing the component data.

• param (str) – Component parameter to print.

• colored (bool) – Color the printout.

• coloring (dict) – Coloring information for colored printout.

Returns:

value (str) – String representation of the value to print.

print_results(colored=True, colors=None, print_results=True)

Print the calculations results to prompt.

process_busses()

Process the bus results.

process_components()

Process the component results.

process_connections()

Process the Connection results.

propagate_fluid_wrappers()

reset_topology_reduction_specifications()

save(json_file_path)

Dump the results to a json style output.

Parameters:

json_file_path (str) – Filename to dump results into.

Note

Results will be saved to specified file path

save_csv(folder_path)

Export the results in multiple csv files in a folder structure

• Connection.csv

• Component/ - Compressor.csv - ….

• Bus/ - power input bus.csv - …

Parameters:

folder_path (str) – Path to dump results to

set_attr(**kwargs)

Set, resets or unsets attributes of a network.

Parameters:

• h_range (list) – List with minimum and maximum values for enthalpy value range.

• h_unit (str) – Specify the unit for enthalpy: ‘J / kg’, ‘kJ / kg’, ‘MJ / kg’.

• iterinfo (boolean) – Print convergence progress to console.

• m_range (list) – List with minimum and maximum values for mass flow value range.

• m_unit (str) – Specify the unit for mass flow: ‘kg / s’, ‘t / h’.

• p_range (list) – List with minimum and maximum values for pressure value range.

• p_unit (str) – Specify the unit for pressure: ‘Pa’, ‘psi’, ‘bar’, ‘MPa’.

• s_unit (str) – Specify the unit for specific entropy: ‘J / kgK’, ‘kJ / kgK’, ‘MJ / kgK’.

• T_unit (str) – Specify the unit for temperature: ‘K’, ‘C’, ‘F’, ‘R’.

• v_unit (str) – Specify the unit for volumetric flow: ‘m3 / s’, ‘m3 / h’, ‘l / s’, ‘l / h’.

• vol_unit (str) – Specify the unit for specific volume: ‘m3 / kg’, ‘l / kg’.

set_defaults()

Set default network properties.

solve(mode, init_path=None, design_path=None, max_iter=50, min_iter=4, init_only=False, init_previous=True, use_cuda=False, print_results=True, prepare_fast_lane=False)

Solve the network.

• Check network consistency.

• Initialise calculation and preprocessing.

• Perform actual calculation.

• Postprocessing.

It is possible to check programatically, if a network was solved successfully with the .converged property.

Parameters:

• mode (str) – Choose from ‘design’ and ‘offdesign’.

• init_path (str) – Path to the folder, where your network was saved to, e.g. saving to nw.save('myplant/test.json') would require loading from init_path='myplant/test.json'.

• design_path (str) – Path to the folder, where your network’s design case was saved to, e.g. saving to nw.save('myplant/test.json') would require loading from design_path='myplant/test.json'.

• max_iter (int) – Maximum number of iterations before calculation stops, default: 50.

• min_iter (int) – Minimum number of iterations before calculation stops, default: 4.

• init_only (boolean) – Perform initialisation only, default: False.

• init_previous (boolean) – Initialise the calculation with values from the previous calculation, default: True.

• use_cuda (boolean) – Use cuda instead of numpy for matrix inversion, default: False.

Note

For more information on the solution process have a look at the online documentation at tespy.readthedocs.io in the section “TESPy modules”.

solve_busses()

Calculate the equations and the partial derivatives for the busses.

solve_components()

Calculate the residual and derivatives of component equations.

solve_connections()

Calculate the residual and derivatives of connection equations.

solve_control()

Control iteration step of the newton algorithm.

• Calculate the residual value for each equation

• Calculate the jacobian matrix

• Calculate new values for variables

• Restrict fluid properties to value ranges

• Check component parameters for consistency

solve_determination()

Check, if the number of supplied parameters is sufficient.

solve_loop(print_results=True)

Loop of the newton algorithm.

solve_user_defined_eq()

Calculate the residual and jacobian of user defined equations.

to_exerpy(Tamb, pamb, exerpy_mappings)

Export the network to exerpy

Parameters:

• Tamb (float) – Ambient temperature.

• pamb (float) – Ambient pressure.

• exerpy_mappings (dict) – Mappings for tespy components to exerpy components

Returns:

dict – exerpy compatible input dictionary

update_variables()

tespy.networks.network.v07_to_v08_export(path)

Transform the v0.7 network export to a dictionary compatible to v0.8.

Parameters:

path (str) – Path to the export structure

Returns:

dict – Dictionary of the v0.8 network export

tespy.networks.network.v07_to_v08_save(path)

Transform the v0.7 network save to a dictionary compatible to v0.8.

Parameters:

path (str) – Path to the save structure

Returns:

dict – Dictionary of the v0.8 network save

tespy.networks.network_reader module

Module for loading a tespy network from saved state.

Use the method tespy.networks.network_reader.load_network() for importing a network from a saved state.

This file is part of project TESPy (github.com/oemof/tespy). It’s copyrighted by the contributors recorded in the version control history of the file, available from its original location tespy/networks/network_reader.py

SPDX-License-Identifier: MIT

tespy.networks.network_reader.load_network(path)

Load a network from a base path.

Parameters:

path (str) – The path to the network data.

Returns:

nw (tespy.networks.network.Network) – TESPy networks object.

Note

If you export the network structure of an existing TESPy network, it will be saved to the path you specified. The structure of the saved data in that path is the structure you need to provide in the path for loading the network.

The structure of the path must be as follows:

• Folder: path (e.g. ‘mynetwork’) - Component.json - Connection.json - Bus.json - Network.json

Example

Create a network and export it. This is followed by loading the network with the network_reader module. All network information stored will be passed to a new network object. Components, connections and busses will be accessible by label. The following example setup is simple gas turbine setup with compressor, combustion chamber and turbine. The fuel is fed from a pipeline and throttled to the required pressure while keeping the temperature at a constant value.

>>> from tespy.components import (Sink, Source, CombustionChamber,
... Compressor, Turbine, SimpleHeatExchanger)
>>> from tespy.connections import Connection, Ref, Bus
>>> from tespy.networks import load_network, Network
>>> import shutil
>>> nw = Network(p_unit='bar', T_unit='C', h_unit='kJ / kg', iterinfo=False)
>>> air = Source('air')
>>> f = Source('fuel')
>>> c = Compressor('compressor')
>>> comb = CombustionChamber('combustion')
>>> t = Turbine('turbine')
>>> p = SimpleHeatExchanger('fuel preheater')
>>> si = Sink('sink')
>>> inc = Connection(air, 'out1', c, 'in1', label='ambient air')
>>> cc = Connection(c, 'out1', comb, 'in1')
>>> fp = Connection(f, 'out1', p, 'in1')
>>> pc = Connection(p, 'out1', comb, 'in2')
>>> ct = Connection(comb, 'out1', t, 'in1')
>>> outg = Connection(t, 'out1', si, 'in1')
>>> nw.add_conns(inc, cc, fp, pc, ct, outg)

Specify component and connection properties. The intlet pressure at the compressor and the outlet pressure after the turbine are identical. For the compressor, the pressure ratio and isentropic efficiency are design parameters. A compressor map (efficiency vs. mass flow and pressure rise vs. mass flow) is selected for the compressor. Fuel is Methane.

>>> c.set_attr(pr=10, eta_s=0.88, design=['eta_s', 'pr'],
... offdesign=['char_map_eta_s', 'char_map_pr'])
>>> t.set_attr(eta_s=0.9, design=['eta_s'],
... offdesign=['eta_s_char', 'cone'])
>>> comb.set_attr(lamb=2)
>>> inc.set_attr(fluid={'N2': 0.7556, 'O2': 0.2315, 'Ar': 0.0129}, T=25, p=1)
>>> fp.set_attr(fluid={'CH4': 0.96, 'CO2': 0.04}, T=25, p=40)
>>> pc.set_attr(T=25)
>>> outg.set_attr(p=Ref(inc, 1, 0))
>>> power = Bus('total power output')
>>> power.add_comps({"comp": c, "base": "bus"}, {"comp": t})
>>> nw.add_busses(power)

For a stable start, we specify the fresh air mass flow.

>>> inc.set_attr(m=3)
>>> nw.solve('design')

The total power output is set to 1 MW, electrical or mechanical efficiencies are not considered in this example. The documentation example in class tespy.connections.bus.Bus provides more information on efficiencies of generators, for instance.

>>> comb.set_attr(lamb=None)
>>> ct.set_attr(T=1100)
>>> inc.set_attr(m=None)
>>> power.set_attr(P=-1e6)
>>> nw.solve('design')
>>> nw.lin_dep
False
>>> nw.save('design_state.json')
>>> _ = nw.export('exported_nwk.json')
>>> mass_flow = round(nw.get_conn('ambient air').m.val_SI, 1)
>>> c.set_attr(igva='var')
>>> nw.solve('offdesign', design_path='design_state.json')
>>> round(t.eta_s.val, 1)
0.9
>>> power.set_attr(P=-0.75e6)
>>> nw.solve('offdesign', design_path='design_state.json')
>>> nw.lin_dep
False
>>> eta_s_t = round(t.eta_s.val, 3)
>>> igva = round(c.igva.val, 3)
>>> eta_s_t
0.898
>>> igva
20.138

The designed network is exported to the path ‘exported_nwk’. Now import the network and recalculate. Check if the results match with the previous calculation in design and offdesign case.

>>> imported_nwk = load_network('exported_nwk.json')
>>> imported_nwk.set_attr(iterinfo=False)
>>> imported_nwk.solve('design')
>>> imported_nwk.lin_dep
False
>>> round(imported_nwk.get_conn('ambient air').m.val_SI, 1) == mass_flow
True
>>> round(imported_nwk.get_comp('turbine').eta_s.val, 3)
0.9
>>> imported_nwk.get_comp('compressor').set_attr(igva='var')
>>> imported_nwk.solve('offdesign', design_path='design_state.json')
>>> round(imported_nwk.get_comp('turbine').eta_s.val, 3)
0.9
>>> imported_nwk.busses['total power output'].set_attr(P=-0.75e6)
>>> imported_nwk.solve('offdesign', design_path='design_state.json')
>>> round(imported_nwk.get_comp('turbine').eta_s.val, 3) == eta_s_t
True
>>> round(imported_nwk.get_comp('compressor').igva.val, 3) == igva
True
>>> shutil.rmtree('./exported_nwk', ignore_errors=True)
>>> shutil.rmtree('./design_state', ignore_errors=True)