コード例 #1
0
ファイル: __init__.py プロジェクト: ebrace/Bioindustrial-Park
def _load_system():
    import biosteam as bst
    from biosteam import main_flowsheet as F
    global sugarcane_sys, sugarcane_tea, specs, flowsheet, _system_loaded
    flowsheet = bst.Flowsheet('sugarcane')
    F.set_flowsheet(flowsheet)
    bst.settings.set_thermo(chemicals)
    load_process_settings()
    sugarcane_sys = create_system()
    sugarcane_sys.simulate()
    sugarcane_tea = create_tea(sugarcane_sys)
    sugarcane_tea.IRR = sugarcane_tea.solve_IRR()
    _system_loaded = True
コード例 #2
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def _load_system():
    import biosteam as bst
    from biosteam import main_flowsheet as F
    global wheatstraw_sys, wheatstraw_tea, specs, flowsheet, _system_loaded
    flowsheet = bst.Flowsheet('wheatstraw')
    F.set_flowsheet(flowsheet)
    bst.settings.set_thermo(chemicals)
    load_process_settings()
    wheatstraw_sys = create_system()
    wheatstraw_sys.simulate()
    u = F.unit
    OSBL_units = (u.WWTC, u.CWP, u.CT, u.PWC, u.ADP, u.BT)
    wheatstraw_tea = create_tea(wheatstraw_sys, OSBL_units)
    ethanol = F.stream.ethanol
    ethanol.price = wheatstraw_tea.solve_price(ethanol)
    _system_loaded = True
コード例 #3
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ファイル: __init__.py プロジェクト: ebrace/Bioindustrial-Park
def _load_system():
    import biosteam as bst
    from biosteam import main_flowsheet as F
    global cornstover_sys, cornstover_tea, specs, flowsheet, _system_loaded
    global Area100, Area200, Area300, Area400, Area500, Area600, Area700, Area800
    global AllAreas, areas, ethanol_price_gal
    flowsheet = bst.Flowsheet('cornstover')
    F.set_flowsheet(flowsheet)
    bst.settings.set_thermo(chemicals)
    load_process_settings()
    cornstover_sys = create_system()
    cornstover_sys.simulate()
    u = F.unit
    OSBL_units = (u.WWTC, u.CWP, u.CT, u.PWC, u.ADP, u.T701, u.T702, u.P701,
                  u.P702, u.M701, u.FT, u.CSL_storage, u.DAP_storage, u.BT)
    cornstover_tea = create_tea(cornstover_sys, OSBL_units, [u.U101])
    ethanol = F.stream.ethanol
    ethanol.price = cornstover_tea.solve_price(ethanol)
    ethanol_price_gal = ethanol.price * ethanol_density_kggal
    UnitGroup = bst.process_tools.UnitGroup
    Area100 = UnitGroup('Area 100', (u.U101, ))
    Area200 = UnitGroup('Area 200', (u.T201, u.M201, u.R201, u.P201, u.T202,
                                     u.F201, u.H201, u.M210, u.T203))
    Area300 = UnitGroup('Area 300',
                        (u.H301, u.M301, u.R301, u.R302, u.T301, u.T302))
    Area400 = UnitGroup('Area 400',
                        (u.D401, u.H401, u.D402, u.P401, u.M402, u.D403,
                         u.P402, u.H402, u.U401, u.H403, u.M701, u.S401))
    Area500 = UnitGroup('Area 500', (u.WWTC, ))
    Area600 = UnitGroup('Area 600', (u.T701, u.T702, u.P701, u.P702, u.M701,
                                     u.FT, u.CSL_storage, u.DAP_storage))
    Area700 = UnitGroup('Area 700', (u.BT, ))
    Area800 = UnitGroup('Area 800', (u.CWP, u.CT, u.PWC, u.ADP, u.CIP_package))
    areas = (Area100, Area200, Area300, Area400, Area500, Area600, Area700,
             Area800)
    AllAreas = UnitGroup('All Areas', cornstover_sys.units)
    _system_loaded = True
コード例 #4
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"""

# %%

import biosteam as bst
import thermosteam as tmo
from biosteam import System
from thermosteam import Stream
from ethanol_adipic import units, facilities
from ethanol_adipic.chemicals import chems, chemical_groups, soluble_organics, combustibles
from ethanol_adipic.process_settings import price
from ethanol_adipic.utils import baseline_feedflow, convert_ethanol_wt_2_mol, \
    find_split, splits_df
from ethanol_adipic.tea import ethanol_adipic_TEA

flowsheet = bst.Flowsheet('ethanol')
bst.main_flowsheet.set_flowsheet(flowsheet)

bst.CE = 541.7  # year 2016
System.maxiter = 400
System.converge_method = 'fixed-point'
System.molar_tolerance = 0.01

tmo.settings.set_thermo(chems)

# %%

# =============================================================================
# Feedstock preprocessing
# =============================================================================
コード例 #5
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    if stream.F_mass == 0:
        WIS = 0
    else:
        WIS = sum(split * stream.mass) / stream.F_mass

    return WIS


def find_TS(stream):
    TS = (stream.F_mass - stream.imass['Water']) / stream.F_mass
    return TS


# %% Streams
#tmo.settings.set_thermo(wheatstraw_chemicals)
bst.main_flowsheet.set_flowsheet(bst.Flowsheet('wheatstraw'))
pretreatment_chemical_IDs = [
    'Acetate', 'AceticAcid', 'Arabinan', 'Ash', 'Cellulase', 'Ethanol',
    'Extract', 'ExtractVol', 'ExtractNonVol', 'Furfural', 'Glucan', 'Glucose',
    'GlucoseOligomer', 'Water', 'H2SO4', 'HMF', 'Lignin', 'Mannan', 'NH3',
    'Protein', 'SolubleLignin', 'Sucrose', 'Xylan', 'Xylose', 'Arabinose',
    'XyloseOligomer', 'ArabinoseOligomer', 'Mannose', 'MannoseOligomer',
    'Galactan', 'Galactose', 'GalactoseOligomer'
]

non_soluble = [
    'Xylan', 'Glucan', 'Arabinan', 'Lignin', 'Extract', 'Ash', 'Mannan',
    'Galactan', 'Acetate'
]

pretreatment_chemicals = wheatstraw_chemicals.subgroup(
コード例 #6
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def find_split(IDs, flow0, flow1):
    flow0 = np.asarray(flow0)
    splits = flow0 / (flow0 + np.asarray(flow1))
    species = Stream.species
    array = np.zeros(len(species))
    for ID, split in zip(IDs, splits):
        if ID in species_groups:
            array[species.indices(species_groups[ID])] = split
        else:
            array[species.index(ID)] = split
    return array


# %% Streams

bst.find.set_flowsheet(bst.Flowsheet('cornstover'))
synonym = species.set_synonym
synonym('CaO', 'Lime')
synonym('Water', 'H2O')
synonym('H2SO4', 'SulfuricAcid')
synonym('NH3', 'Ammonia')
synonym('Denaturant', 'Octane')
synonym('CO2', 'CarbonDioxide')
bst.Stream.species = pretreatment_species = bst.WorkingSpecies.subgroup(
    species, [
        'Acetate', 'AceticAcid', 'Arabinan', 'Ash', 'Cellulase', 'Ethanol',
        'Extract', 'Furfural', 'Glucan', 'Glucose', 'GlucoseOligomer', 'Water',
        'H2SO4', 'HMF', 'Lignin', 'Mannan', 'NH3', 'Protein', 'SolubleLignin',
        'Sucrose', 'Xylan', 'Xylose', 'Arabinose', 'XyloseOligomer',
        'ArabinoseOligomer', 'Mannose', 'MannoseOligomer', 'Galactan',
        'Galactose', 'GalactoseOligomer'
コード例 #7
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    split = find_split_solids(stream, IDs)
    if stream.F_mass == 0:
        WIS = 0
    else:
        WIS = sum(split * stream.mass) / stream.F_mass
    return WIS


def find_TS(stream):
    TS = (stream.F_mass - stream.imass['Water']) / stream.F_mass
    return TS


# %% Streams

bst.main_flowsheet.set_flowsheet(bst.Flowsheet('bedding'))
pretreatment_chemical_IDs = [
    'Acetate', 'AceticAcid', 'Arabinan', 'Ash', 'Cellulase', 'Ethanol',
    'Extract', 'ExtractVol', 'ExtractNonVol', 'Furfural', 'Glucan', 'Glucose',
    'GlucoseOligomer', 'Water', 'H2SO4', 'HMF', 'Lignin', 'ManureOrg',
    'ManureInorg', 'ManureOrgSol', 'ManureInorgSol', 'Mannan', 'NH3',
    'Protein', 'SolubleLignin', 'Sucrose', 'Xylan', 'Xylose', 'Arabinose',
    'XyloseOligomer', 'ArabinoseOligomer', 'Mannose', 'MannoseOligomer',
    'Galactan', 'Galactose', 'GalactoseOligomer'
]

non_soluble = [
    'Xylan', 'Glucan', 'Arabinan', 'Lignin', 'Extract', 'Ash', 'Mannan',
    'Galactan', 'Acetate', 'ManureOrg', 'ManureInorg'
]
コード例 #8
0
ファイル: system.py プロジェクト: yoelcortes/biosteam_lca
    flow0 = np.asarray(flow0)
    splits = flow0 / (flow0 + np.asarray(flow1))
    thermo = tmo.settings.get_thermo()
    chemicals = thermo.chemicals
    array = np.zeros(chemicals.size)
    for ID, split in zip(IDs, splits):
        if ID in chemical_groups:
            array[chemicals.get_index(chemical_groups[ID])] = split
        else:
            array[chemicals.index(ID)] = split
    return array


# %% Streams

bst.main_flowsheet.set_flowsheet(bst.Flowsheet('cornstover'))
pretreatment_chemical_IDs = [
    'Acetate', 'AceticAcid', 'Arabinan', 'Ash', 'Cellulase', 'Ethanol',
    'Extract', 'Furfural', 'Glucan', 'Glucose', 'GlucoseOligomer', 'Water',
    'H2SO4', 'HMF', 'Lignin', 'Mannan', 'NH3', 'Protein', 'SolubleLignin',
    'Sucrose', 'Xylan', 'Xylose', 'Arabinose', 'XyloseOligomer',
    'ArabinoseOligomer', 'Mannose', 'MannoseOligomer', 'Galactan', 'Galactose',
    'GalactoseOligomer'
]
pretreatment_chemicals = cornstover_chemicals.subgroup(
    pretreatment_chemical_IDs)
tmo.settings.set_thermo(pretreatment_chemicals)

# tmo.Stream.default_ID_number = 100

# feed flow
コード例 #9
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# %% Setup

import biosteam as bst
import thermosteam as tmo
from flexsolve import aitken_secant, IQ_interpolation
from biosteam import System
from biosteam.process_tools import UnitGroup
from thermosteam import Stream
from lactic import units, facilities
from lactic.hx_network import HX_Network
from lactic.process_settings import price
from lactic.utils import baseline_feedflow, set_yield, find_split, splits_df
from lactic.chemicals import chems, chemical_groups, soluble_organics, combustibles
from lactic.tea import LacticTEA

flowsheet = bst.Flowsheet('lactic')
bst.main_flowsheet.set_flowsheet(flowsheet)
bst.CE = 541.7  # year 2016

# Set default thermo object for the system
tmo.settings.set_thermo(chems)

# These settings are sufficient to get lactic acid price error below $0.005/kg
# after three simulations
System.converge_method = 'fixed-point'  # aitken isn't stable
System.maxiter = 1500
System.molar_tolerance = 0.1

# %%

# =============================================================================
コード例 #10
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# %% Setup

import biosteam as bst
import thermosteam as tmo
from flexsolve import IQ_interpolation
from biosteam import System
from thermosteam import Stream
from ethanol_adipic import units, facilities
from ethanol_adipic.chemicals import chems, chemical_groups, soluble_organics, combustibles
from ethanol_adipic.process_settings import price
from ethanol_adipic.utils import baseline_feedflow, convert_ethanol_wt_2_mol, \
    find_split, splits_df
from ethanol_adipic.tea import ethanol_adipic_TEA

flowsheet = bst.Flowsheet('ethanol_adipic')
bst.main_flowsheet.set_flowsheet(flowsheet)

bst.CE = 541.7  # year 2016
System.maxiter = 400
System.converge_method = 'fixed-point'
System.molar_tolerance = 0.01

tmo.settings.set_thermo(chems)

# %%

# =============================================================================
# Feedstock preprocessing
# =============================================================================