Plot_Efficiency_Bargraph, Generate_EfficienciesDict_Keys_Sorted_by_Efficiency, \ Export_Efficiency_Bargraph from rewiredcarbon.utils import ensure_dir scenarioTableFileName = 'input/fig-co2fixation.csv' outputFilename = 'output/fig-co2fixation/fig-co2fixation.csv' ensure_dir(outputFilename) scenarioDict = ImportScenarioTable(scenarioTableFileName) efficienciesDict = CalculateScenarioEfficiencies(scenarioDict) # keysArray = \ # Generate_EfficienciesDict_Keys_Sorted_by_Efficiency(efficienciesDict, 'effTotalElectricalToFuel') keysArray = list(efficienciesDict.keys()) Plot_Efficiency_Bargraph(efficienciesDict, 'effTotalElectricalToFuel', \ 'effTotalElectricalToFuel_lowerError', 'effTotalElectricalToFuel_upperError', keysToPlot=keysArray) Export_Efficiency_Bargraph(outputFilename, efficienciesDict, scenarioDict, \ 'effTotalElectricalToFuel', 'effTotalElectricalToFuel_lowerError', \
# fig-EETscaleup-A.py
# Calculates efficiency of EET based rewired carbon fixation
#
# Farshid Salimijazi and Buz Barstow
# Last updated by Buz Barstow on 2019-10-28
# ------------------------------------------------------------------------------------------------ #
from rewiredcarbon.scenario import ImportScenarioTable, CalculateScenarioEfficiencies, \
Plot_Efficiency_Scattergraphs, Export_Efficiency_Scattergraphs
from rewiredcarbon.utils import ensure_dir
scenarioTableFileName = 'input/fig-EETscaleup-A.csv'
outputFileDirname = 'output/fig-EETscaleup/fig-EETscaleup-A/'
ensure_dir(outputFileDirname)
outputFilePrefix = 'VariableResistivity'
scenarioDict = ImportScenarioTable(scenarioTableFileName)
efficienciesDict = CalculateScenarioEfficiencies(scenarioDict,
mode='scattergraph')
Plot_Efficiency_Scattergraphs(efficienciesDict, 'effTotalElectricalToFuel')
Export_Efficiency_Scattergraphs(outputFileDirname, outputFilePrefix, efficienciesDict, \
'effTotalElectricalToFuel', keysToPlot=None)
from rewiredcarbon.scenario import ImportScenarioTable, CalculateScenarioEfficiencies, \
Plot_Efficiency_Scattergraphs, Export_Efficiency_Scattergraphs
# Solar constant in W m^-2
solarConstant = 1000
outputFileDirname = 'output/fig-h2agitation/fig-h2agitation-D/'
scenarioTableFileName = 'input/fig-h2agitation-D.csv'
outputFilename_cellDensityAtTargetEfficiencyRatio \
= outputFileDirname + '/' + 'fig-h2agitation-D-cell_density.csv'
scenarioDict = ImportScenarioTable(scenarioTableFileName)
efficienciesDict = CalculateScenarioEfficiencies(scenarioDict,
mode='scattergraph')
# Calculate out the peak efficiency
peakElectricalToFuelEfficiency = max(
efficienciesDict['Reference']['effAvailElectricalToFuel'])
# Remove the reference scenario from consideration
efficienciesDictKeysForCalc = list(efficienciesDict.keys())
efficienciesDictKeysForCalc.remove('Reference')
targetEfficiencyRatios = [0.5, 0.75, 0.95]
collectedOutputDict = {}
# Calculate the system footprint data for different target efficiency ratios
for targetEfficiencyRatio in targetEfficiencyRatios: