research challenges for non-photosynthetic solar fuels ...research challenges for non-photosynthetic...
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Research Challenges for Non-Photosynthetic Solar Fuels Production
Bill Tumas
Associate Laboratory Director National Renewable Energy Lab
July 8, 2017
NREL: PinChing Maness, Ling Tao, Paul King, Todd Deutsch, John
Turner, Nate Neale, Bryan Pivovar, Mark Ruth, Kevin Harrison
CARBON TEAM: Karl Mueller, PNNL; Blake Simmons, LBNL; Roger Aines,
LLNL, Christine Negri, Argonne; Amy Halloran, Sandia; Babs Marrone, LANL; Cindy Jenks, Ames Lab
CARBON National Lab Workshop Participants (March 2017)
Acknowledgements
Captureand
concentra-on
Hybridconversiontechnologies
Recoveryand
purifica-on
Fuels
Chemicals
Materials
Polymers
Cataly3creduc3on/Homologa3onBiomime3c/BioinspiredcatalysisElectrocatalysisPhotocatalysisThermal/Solarthermal
Biochemical/Enzyma3cFermenta3onSynthe3cbiologyHybridapproaches- electrobiocatalysis- tandemcatalysis-reac-vesepara-ons
Integrated Approach for Adding Value to CO2
Captureand
concentra-on
Hybridconversiontechnologies
Recoveryand
purifica-on
Fuels
Chemicals
Materials
Polymers
Cataly3creduc3on/Homologa3onBiomime3c/BioinspiredcatalysisElectrocatalysisPhotocatalysisThermal/Solarthermal
Biochemical/Enzyma3cFermenta3onSynthe3cbiologyHybridapproaches- electrobiocatalysis- tandemcatalysis-reac-vesepara-ons
Integrated Approach for Adding Value to CO2
Materials Interfaces Components/Organisms Systems
• Cost • Efficiency • Performance • Reliability • Scalability •
• Major advances in synthetic biology – Engineering RubisCO, hydrogenases,… – e.g. CRISPR-enabled high throughput genome editing
• Changing energy landscape and market opportunities
• Curtailment, storage, products • Advances in electrochemistry, materials discovery, synthesis
characterization, catalysis science, synthetic biology
Why Now?
Rewiringbiologybycouplinganthropogenicreductantswithbiologicalprocesses(C-C)
– Coupletheefficiencyandcostadvantagesofabio-callygeneratedreducants(e-,H2,other)withtheselec-vityofbioprocesses
– Electro-biocatalysis;Synthe-cbiology
6
Reac3vecaptureforCO2andwastegases– CoupleCO2capturewithreduc-on/
reac-on– Newcataly-creac-ons– Cataly-cmembranes– Alterna-vecapture/reac-vemedia,– Innova-veelectrochemicalprocesses
Innova3vematerialsandproductsynthesisandprocessingfromCO2-basedprecursors-Exis-ngandnewmaterials-In-kindreplacements-Newfunc-onality
Innova-vehybridapproachesandtandemreac-ons,catalysisandbiocatalysis
– CH4+CO2– Innova-vesupportsfortandem
catalysis– Reac-onandreactorengineering
R&DOpportuni3esandChallengesEfficientGenera3onofreductantsfromRenewableEnergy
-Electrolysis, PEC water splitting, …
Fit-for-purposewatertreatment
Rewiringbiologybycouplinganthropogenicreductantswithbiologicalprocesses(C-C)
– Coupletheefficiencyandcostadvantagesofabio-callygeneratedelectrons,hydrogenorotherreductantswiththeselec-vityofbioprocesses
– Electro-biocatalysis;Synthe-cbiology
7
Reac3vecaptureforCO2andwastegases– CoupleCO2capturewithreduc-on/
reac-on– Newcataly-creac-ons– Cataly-cmembranes– Alterna-vecapture/reac-vemedia,– Innova-veelectrochemicalprocesses
Innova3vematerialsandproductsynthesisandprocessingfromCO2-basedprecursors-Exis-ngandnewmaterials-In-kindreplacements-Newfunc-onality
Innova-vehybridapproachesandtandemreac-ons,catalysisandbiocatalysis
– CH4+CO2– Innova-vesupportsfortandem
catalysis– Reac-onandreactorengineering
R&DOpportuni3esandChallenges
Howdowelowertheenergyrequirements/costsandcreateefficientprocesses?
Understandbioenerge-cstoincreasecarbon,e-,energyflux?Kine-cmatchingofabio-c/bio-c?H2andCO2uptakeNewchassesforsynbio?Designandcontrolofinterfaces?
Howdowecreatetandemapproaches?Newchemistries(H2+CO2àC-C)Couplechem/bioapproaches?Novelreac-onandreactorengineering?
EfficientGenera3onofreductantsfromRenewableEnergy-Electrolysis, PEC water splitting, …
Cost,Efficiency,Performance,Reliabilty,Scalability
Newprocessingconcepts?Beyondin-kindreplacements?TEA,LCA
Fit-for-purposewatertreatment
Design and control of energy and charge generation and transport
New materials - photoelectrodes - electrodes - membranes - catalysts - power electronics
Interfacial Science - energy, charge, mass transfer
- control and design
Catalysis, Electrocatalysis - new reactions - mechanisms - selectivity
Synthetic biology - H2 and CO2 uptake - productivity/selectivity/robustness
- bioenergetics (pathways and control)
New Concepts …
Foundational R&D Needs (to name a few)
H2atScaleCEERTMay9,2017 9
R&DforH2byElectrolysis
0.0CapacityFactor
CostofElectricityCapitalCost
Efficiency(LHV)
IntermiNentintegra3on
R&DAdvances
1kgH2≈1gallonofgasolineequivalent(gge)
10
ElectrolyzerComponentR&DNeeds• Electrocatalysts
o ImprovedOERperformanceanddurabilityo PGMreplacement;SupportsforIrcatalysts
• Membraneso Resistancetodifferen-alpressures/cyclingo Alkalinesystems
• Durability/Tes3ngo Degrada-onmechanisms;acceleratedtes-ng
• Cell/ElectrodeLayero Impactofopera-ngcondi-onso Electrodestructure/performanceo Manufacturing/Scale-upo Modeldevelopment
• BipolarPlates/Poroustransportlayerso Structure/performance;Corrosiono Manufacturing/Scale-up
• BalanceofPlanto Lowercostpowersupplies,inverters;DCsystemso Hightemperaturecompa-blematerialso Impactofopera-ngcondi-ons
PEC Water Splitting: H2O à H2 + ½O2
• Invertedmetamorphicmul3junc3on(IMM)PECdeviceenablesmoreidealbandgaps
• Grownbyorganometallicvaporphaseepitaxy• Incorporatesburiedp/nGaInP2junc3onand
AlInPpassiva3onlayer
NatureEnergy,2,17028(2017)
Approach Solar-to-hydrogenEfficiency
16.4%Benchmarkedunder
outdoorsunlightatNREL
-15
-10
-5
0
curr
ent d
ensi
ty (m
A/c
m2 )
-1.0 -0.5 0.0 0.5bias (V vs. RuOx)
Upright GaInP2/GaAs Inverted GaInP2/GaAs IMM (GaInP2/InGaAs) p-n IMM p-n IMM w/ passivation
16.4% STH Si wafer handle
epoxy
Au contact/reflector
III-V tandem 5 µm
top surface
10 µm
Gro
wth
dire
ctio
n
p-GaInP2
p-n InGaAs
graded buffer
1 µm
SEM TEM
IMM device cross sections
UnderstandingandDesigningmorestableandefficientsolarfuelgeneratorsNewultrafastlaserspectroscopytechnique
uncovershowphotoelectrodesproducesolarhydrogenfromwater
NREL’snewprobemeasurestransientelectricalfieldsandshowshowsemiconductorjunc-onsconvertsunlighttofuels
ThefieldformedbytheTiO2layerdriveselectronstothesurfacewheretheyreducewatertoformhydrogen.
Theoxidepreventsphotocorrosionbykeepingholesawayfromthesurface
Thisnewunderstandingwillleadtomorestableandefficientsolarfuelgenerators
Science350,1061-1065,(2015)
Thetransientphotoreflectance(TPR)techniquetechniquemeasuresshort-livedelectricalfieldsthatariseduetochargesgeneratedbylightthataredriveninoppositedirec-onsbytheproper-esoftheinterface.
Cell and Module Testing
• Invertedmetamorphicmul3junc3on(IMM)PECdeviceenablesmoreidealbandgaps
• Grownbyorganometallicvaporphaseepitaxy• Incorporatesburiedp/nGaInP2junc3onand
AlInPpassiva3onlayer
Approach Solar-to-hydrogenEfficiency
16.4%Benchmarkedunder
outdoorsunlightatNREL
-15
-10
-5
0
curr
ent d
ensi
ty (m
A/c
m2 )
-1.0 -0.5 0.0 0.5bias (V vs. RuOx)
Upright GaInP2/GaAs Inverted GaInP2/GaAs IMM (GaInP2/InGaAs) p-n IMM p-n IMM w/ passivation
16.4% STH Si wafer handle
epoxy
Au contact/reflector
III-V tandem 5 µm
top surface
10 µm
Gro
wth
dire
ctio
n
p-GaInP2
p-n InGaAs
graded buffer
1 µm
SEM TEM
IMM device cross sections
Material Challenges (the big four) Photoelectrochemical Hydrogen Production Material
Ø Photomaterials Ø Efficiency Ø Energetics Ø Coupling to catalytic rxns
Ø Catalysis – Efficient selective catalysis at low overpotential
Ø Interfacial Materials, Membranes – keep O2 from fuel; charge/ion balance
Ø Material Durability –
semiconductor/catalyst must be stable in electrolyte solution
Ø Protective coatings
Approaches to PEC Hydrogen
EnergyEnviron.Sci.,6,1983(2013)
1)SingleBed,10% 2)DoubleBed,5%
3)FixedPanel,10% 4)Concentrator,15%
costs as shown in Fig. 8. For every system, the output variessignicantly over the course of the year, with the Decemberoutput being much lower than the June production. If adequatestorage options are not available and winter demand is high,the systems would need to be scaled up and the costs would beelevated. We once again emphasize that these are conceptualsystems for which there is a large degree of uncertainty in thesystem performance, H2 demand schedule, durability, and cost.To help illustrate the effects of these uncertainties on the cost of
the H2 output at the plant gate, a sensitivity analysis was carriedout to gauge the relative effects of system efficiency andcomponent lifetime. Sensitivity to the cost of the photocatalyticparticles was also considered for the Type 1 and 2 systems whilethe cost of the PEC cells was considered for the Type 3 and 4systems. The sensitivity analysis presented here is an attempt toidentify the most impactful parameters on the nal cost of H2
but other assumed costs (e.g. land costs, labor rates, pumps/compressors, etc.) will also vary to some degree; a more exten-sive sensitivity analysis of all parameters to determine the fullrange of error is beyond the scope of the current work but willlikely be pursued as the technology matures. The results of thesensitivity analysis are shown in Fig. 9 along with the range ofevaluation parameters explored.
For all four systems, the capital costs make up a signicantfraction of the overall cost. We consider themajor contributionsin each case to identify where design uncertainty could lead toincreases in cost and where research progress could drive downcosts signicantly. The cost of hydrogen produced from theType 1 and Type 2 systems is very low at $1.60 per kg and $3.20per kg, respectively. However, the performance of the particu-late systems on a large scale is not well established givenincomplete demonstration of the effective performance ofparticles as a function of depth in the baggies, photovoltagegenerated by multilayer particles, voltage losses across porousbridges, particle lifetime, and scalable particle fabricationmethods. For the Type 1 system, gas compression equipmentaccounts for over half of the direct capital costs. Given the safety
Fig. 9 Effect of efficiency, particle or panel cost, and component lifetime on the cost of hydrogen from each reactor design. Each calculation represents the variation ofa single parameter from the base case to a higher and lower value as indicated on the left axis.
Fig. 8 Distribution of cost contributions to the levelized price of hydrogen.
1998 | Energy Environ. Sci., 2013, 6, 1983–2002 This journal is ª The Royal Society of Chemistry 2013
Energy & Environmental Science Analysis
Publ
ishe
d on
12
June
201
3. D
ownl
oade
d by
Nat
iona
l Ren
ewab
le E
nerg
y La
bora
tory
on
31/0
7/20
13 1
8:46
:19.
View Article Online
costs as shown in Fig. 8. For every system, the output variessignicantly over the course of the year, with the Decemberoutput being much lower than the June production. If adequatestorage options are not available and winter demand is high,the systems would need to be scaled up and the costs would beelevated. We once again emphasize that these are conceptualsystems for which there is a large degree of uncertainty in thesystem performance, H2 demand schedule, durability, and cost.To help illustrate the effects of these uncertainties on the cost of
the H2 output at the plant gate, a sensitivity analysis was carriedout to gauge the relative effects of system efficiency andcomponent lifetime. Sensitivity to the cost of the photocatalyticparticles was also considered for the Type 1 and 2 systems whilethe cost of the PEC cells was considered for the Type 3 and 4systems. The sensitivity analysis presented here is an attempt toidentify the most impactful parameters on the nal cost of H2
but other assumed costs (e.g. land costs, labor rates, pumps/compressors, etc.) will also vary to some degree; a more exten-sive sensitivity analysis of all parameters to determine the fullrange of error is beyond the scope of the current work but willlikely be pursued as the technology matures. The results of thesensitivity analysis are shown in Fig. 9 along with the range ofevaluation parameters explored.
For all four systems, the capital costs make up a signicantfraction of the overall cost. We consider themajor contributionsin each case to identify where design uncertainty could lead toincreases in cost and where research progress could drive downcosts signicantly. The cost of hydrogen produced from theType 1 and Type 2 systems is very low at $1.60 per kg and $3.20per kg, respectively. However, the performance of the particu-late systems on a large scale is not well established givenincomplete demonstration of the effective performance ofparticles as a function of depth in the baggies, photovoltagegenerated by multilayer particles, voltage losses across porousbridges, particle lifetime, and scalable particle fabricationmethods. For the Type 1 system, gas compression equipmentaccounts for over half of the direct capital costs. Given the safety
Fig. 9 Effect of efficiency, particle or panel cost, and component lifetime on the cost of hydrogen from each reactor design. Each calculation represents the variation ofa single parameter from the base case to a higher and lower value as indicated on the left axis.
Fig. 8 Distribution of cost contributions to the levelized price of hydrogen.
1998 | Energy Environ. Sci., 2013, 6, 1983–2002 This journal is ª The Royal Society of Chemistry 2013
Energy & Environmental Science Analysis
Publ
ishe
d on
12
June
201
3. D
ownl
oade
d by
Nat
iona
l Ren
ewab
le E
nerg
y La
bora
tory
on
31/0
7/20
13 1
8:46
:19.
View Article Online
costs as shown in Fig. 8. For every system, the output variessignicantly over the course of the year, with the Decemberoutput being much lower than the June production. If adequatestorage options are not available and winter demand is high,the systems would need to be scaled up and the costs would beelevated. We once again emphasize that these are conceptualsystems for which there is a large degree of uncertainty in thesystem performance, H2 demand schedule, durability, and cost.To help illustrate the effects of these uncertainties on the cost of
the H2 output at the plant gate, a sensitivity analysis was carriedout to gauge the relative effects of system efficiency andcomponent lifetime. Sensitivity to the cost of the photocatalyticparticles was also considered for the Type 1 and 2 systems whilethe cost of the PEC cells was considered for the Type 3 and 4systems. The sensitivity analysis presented here is an attempt toidentify the most impactful parameters on the nal cost of H2
but other assumed costs (e.g. land costs, labor rates, pumps/compressors, etc.) will also vary to some degree; a more exten-sive sensitivity analysis of all parameters to determine the fullrange of error is beyond the scope of the current work but willlikely be pursued as the technology matures. The results of thesensitivity analysis are shown in Fig. 9 along with the range ofevaluation parameters explored.
For all four systems, the capital costs make up a signicantfraction of the overall cost. We consider themajor contributionsin each case to identify where design uncertainty could lead toincreases in cost and where research progress could drive downcosts signicantly. The cost of hydrogen produced from theType 1 and Type 2 systems is very low at $1.60 per kg and $3.20per kg, respectively. However, the performance of the particu-late systems on a large scale is not well established givenincomplete demonstration of the effective performance ofparticles as a function of depth in the baggies, photovoltagegenerated by multilayer particles, voltage losses across porousbridges, particle lifetime, and scalable particle fabricationmethods. For the Type 1 system, gas compression equipmentaccounts for over half of the direct capital costs. Given the safety
Fig. 9 Effect of efficiency, particle or panel cost, and component lifetime on the cost of hydrogen from each reactor design. Each calculation represents the variation ofa single parameter from the base case to a higher and lower value as indicated on the left axis.
Fig. 8 Distribution of cost contributions to the levelized price of hydrogen.
1998 | Energy Environ. Sci., 2013, 6, 1983–2002 This journal is ª The Royal Society of Chemistry 2013
Energy & Environmental Science Analysis
Publ
ishe
d on
12
June
201
3. D
ownl
oade
d by
Nat
iona
l Ren
ewab
le E
nerg
y La
bora
tory
on
31/0
7/20
13 1
8:46
:19.
View Article Online
costs as shown in Fig. 8. For every system, the output variessignicantly over the course of the year, with the Decemberoutput being much lower than the June production. If adequatestorage options are not available and winter demand is high,the systems would need to be scaled up and the costs would beelevated. We once again emphasize that these are conceptualsystems for which there is a large degree of uncertainty in thesystem performance, H2 demand schedule, durability, and cost.To help illustrate the effects of these uncertainties on the cost of
the H2 output at the plant gate, a sensitivity analysis was carriedout to gauge the relative effects of system efficiency andcomponent lifetime. Sensitivity to the cost of the photocatalyticparticles was also considered for the Type 1 and 2 systems whilethe cost of the PEC cells was considered for the Type 3 and 4systems. The sensitivity analysis presented here is an attempt toidentify the most impactful parameters on the nal cost of H2
but other assumed costs (e.g. land costs, labor rates, pumps/compressors, etc.) will also vary to some degree; a more exten-sive sensitivity analysis of all parameters to determine the fullrange of error is beyond the scope of the current work but willlikely be pursued as the technology matures. The results of thesensitivity analysis are shown in Fig. 9 along with the range ofevaluation parameters explored.
For all four systems, the capital costs make up a signicantfraction of the overall cost. We consider themajor contributionsin each case to identify where design uncertainty could lead toincreases in cost and where research progress could drive downcosts signicantly. The cost of hydrogen produced from theType 1 and Type 2 systems is very low at $1.60 per kg and $3.20per kg, respectively. However, the performance of the particu-late systems on a large scale is not well established givenincomplete demonstration of the effective performance ofparticles as a function of depth in the baggies, photovoltagegenerated by multilayer particles, voltage losses across porousbridges, particle lifetime, and scalable particle fabricationmethods. For the Type 1 system, gas compression equipmentaccounts for over half of the direct capital costs. Given the safety
Fig. 9 Effect of efficiency, particle or panel cost, and component lifetime on the cost of hydrogen from each reactor design. Each calculation represents the variation ofa single parameter from the base case to a higher and lower value as indicated on the left axis.
Fig. 8 Distribution of cost contributions to the levelized price of hydrogen.
1998 | Energy Environ. Sci., 2013, 6, 1983–2002 This journal is ª The Royal Society of Chemistry 2013
Energy & Environmental Science Analysis
Publ
ishe
d on
12
June
201
3. D
ownl
oade
d by
Nat
iona
l Ren
ewab
le E
nerg
y La
bora
tory
on
31/0
7/20
13 1
8:46
:19.
View Article Online
EnergyEnviron.Sci.,6,1983(2013)
Technoeconomic Analyses: Approaches to PEC Hydrogen
HydroGEN Consortium Accelerating research, development and deployment of advanced water splitting technologies for clean sustainable hydrogen production HydroGEN offers a suite of capabilities that partners can leverage capabilities (81) and expertise in a number of areas: • Computational tools and modeling • Materials synthesis • Process and manufacturing scale-up • Materials and device characterization • Durabiliity • Systems Integration • Analysis
hhps://www.h2awsm.org
1818
BioHybridApproaches(Electrochem,H2,Mediators)
Innova3on• Bea-ngphotosynthesisbycouplinganthropogenicreductantswithbiologicalprocess
• Microbialcatalysisoffershighselec-vitytowardtailoredproducts
• Theadvancesinsynthe-cbiologyunderpinthisinnova-ontocosteffec-velyconvertwastecarbontofuels,chemicals,andmaterials.
Electrosynthesis
TheElectricEconomyMeets
Synthe8cBiology
19
Electroac3veBacteria–MolecularMechanism
(1)DirectElectronTransfer (2)MediatedET (3)IndirectET
Threepossibleelectrontransfermechanisms(1) Directviaconduc-ngpiliorc-typecytochrome(mul--heme)(2)Mediatorsreleasedbythecells(flavin,quinones)(3)Exogenouslyaddedelectronshuhles(i.e.H2,formate,Fe++)
Moreunderstandingcouldguidethedesignofbehermechanismtoaccelerateelectrontransferandprovidethebreakthroughsolu-ontomatchcurrentdensitybetweenelectrodeandmicrobes
FigurefromSydow2014.ApplMicrobiolBiotechnol98:8481.
Biohybrid:ScienceChallenges
Cat
hode
CO2
Ano
de
e- e- Products
H+
H2
Products
CO2
Electrochemistry• Surfacearealimitsmicrobe
ahachment• Internallost• Scaleup
Electrofermenta3on• Matchingenerge-csandkine-csbetweenmicrobesandelectrode• Mechanismsofelectrontransferbetweenmicrobeandelectrode• Understandingbioenerge-cstoincreasecarbon,electron,andenergyflux• Synbio,metabolicengineeringtocontrolanddesignpathways• EnhancedH2andCO2uptakebydesignerchassismicrobes• Biofilmforma-on;mechanismofmicrobialahachment• Biofouling
21
WaterSpli>ngbyaBioassistedBlackSiPhotocathode
• [FeFe]-H2aseenzymeimmobilizeddirectlyontoananoporoussilicon(blackSi)photoelectrodesurfacecatalyzesHERonablackSiphotoelectrodecomparabletoPt
• Currentdensi3es>1mAcm–2
≤12pmol/cm2TOF=1300s–1TON≈107
TMAH(Me4NOH)etchtoremovesharpsurfacefeaturesshowsnanostructuredb-Sisurfacecri3caltoeffec3vebinding
interac3onwith[FeFe]-H2ase
ACSAppl.Mater.Interfaces2016,8,14481
Candidateplaoormmicrobes Candidateplaoormcommuni-es
C.ljungdahliiC.autethanogenumM.thermoaceKca
Newisolatedmicrobes
C.ljungdahlii+
C.klyveri
C.autethanogenum+
M.elsdenii
Newsynbiomicrobes
Newsynbiomicrobes
R.eutropha
23
SynbioToolbox• Advancedgene-ctoolbox:
─ DeveloprobustDNAtransfermethods/CRISPR─ Knock-out/Knock-ingenes─ Alterexpressedpaherns/levels─ Conductsystemsbiologybasedapproaches(-omics)─ Conduct13C-metabolicfluxanalysis(13C-MFA;carbon/electronflow)─ Developpredictedgenome-scalemodels(energy/electron/carbon)─ Algorithmsandautomatedassembly─ “Synthe-cparts”libraryformodularplug-and-play(promoters,synthe-cpathways)─ Predic-ve(re)designandop-miza-onofsynthe-cpathways─ Highthroughputscreen/sensortoscreenDNAlibraries
• Acceleratethedesign-build-test-redesigncycleformicrobialredesign
(Re)
Maness,Simmons
24
CouplingAnthropogenicReductantswithMicrobes
Yang,…Science351,74(2016) Nocera,Silver,…Science352,1210(2016)
Challenges/Opportuni3es:CO2toProducts
Carbonse.g.carbonfiber,CNTsGraphene,…(StructuralCarbon)• Removeoxygen• MakeproductsApproaches• Electrocatalysis• Pyrolysis
Challenges• Couplingelectricityto
catalysis• Productpurity• Efficientcatalysis
Carbonatese.g.cement,aggregate,polycarbonates• Alkalinity:HCO3
-
• Ca-onsforproductApproaches• Electrolysis• Directreac-onfrom
solventscapturingCO2asCO3
Challenges• Efficientelectrolysis• Ca-onsourcing,e.g.
seawater
Hydrocarbonse.g.polymers,fuels,chemicals• Providehydrogen• Makepolymers
Approaches• CatalysistomakeC-C
andpolymerprecursors
Challenges• Low-CHydrogen• De-oxygena-on• Selec-vity• Integratedcapture/
reac-on
AdaptedfromR.Aines,CARBONworkshop,March2017
26
CO2U-liza-onPathways
CO2FlueGas
MEA
Photosynthesis
Algaebiofuel Isopropanol
+H2
Thermo-chemical+H2
Syngas
Methanol
Methane
Urea
+NH3
Poly-carbonate
FuelsFermenta-on
FT
Gasoline
Fuelorchemicalprecursors
+Electron
3a
3b
4
5a
6
7 8
1 5b
Diesel2
LingTao,MaryBiddy,….
O
OHHO3-HPA
Poly-ACN
N
ACN N
OH
IsopropanolIsopropanol
DeH2O Ammoxidation
Esterification Nitrilation
Renewable CF
CO2 NH3
HO OH
OO
Malonic Acid O O
OOPolymerization CO2
Polyesters
Renewable Polyester
CO2-BasedMaterialsandPolymers
PolycarbonateMarket3%ofcurrentpolymerGDP
CarbonFiber:LargeandGrowingMarket2005—$90millionmarketsize,2015—$2billion2020—projectedtoreach$3.5TheNorthAmericaregionisexpectedtobethelargestmarketgloballyduetotheincreaseddemandfromaerospace&defense,windenergy,infrastructure,andautomo3veindustry.
Reductants: Reagents:e-,H2,CH4 Epoxides,propyleneCa(OH)2
DiluteCO2Stream TreatedGas
ValueAddedProducts
CO2gasOH-solu-on(Alkaline)CO2+H2O(Acidic)
Cathodeflowfield
CarbonGDL
2.CO2RRcatalyst
1.Ionexchangemembrane 3.OERcatalyst
CarbonGDL
Anodeflowfield
ReACTIVESepara3on
Challenges:• Energyintensity• Processintegra-on• Cost• Advancedmaterials
development
Challenges:• Reducingequivalents• Catalystreac-vity/selec-vityinmedia• Cataly-cmembranes• Alterna-vemedia• Electrochem
From C. Matranga, NETL
NREL: PinChing Maness, Ling Tao, Paul King, Todd Deutsch, John
Turner, Nate Neale, Bryan Pivovar, Mark Ruth, Kevin Harrison
CARBON TEAM: Karl Mueller, PNNL; Blake Simmons, LBNL; Roger Aines,
LLNL, Christine Negri, Argonne; Amy Halloran, Sandia; Babs Marrone, LANL; Cindy Jenks, Ames Lab
CARBON National Lab Workshop Participants (March 2017)
Acknowledgements