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Cellulose
linear polymer of glucopyranose units
high MW n>1,000,000
Crystalline, forms fibers
cellulose fibers provide wood’s strength
hemicellulose
amorphous branched polymer
low degree of polymerization n~200
easier to hydrolyze than cellulose
Lignin
amorphous, three-dimensional, cross-linked resin
no exact structure
main binder for cellulosic fibers, chemical shield for cellulose
problems with lignin as fuel
requires more energy than it provides. requires more water
biofuels
bioethanol, biodiesel, green diesel, pyrolysis oils
bioethanol production from corn or lignocellulose
enzymes (cellulases) convert cellulose to glucose
yeasts convert glucose to ethanol
problems with bioethanol production
using land to make ethanol from corn we can’t eat, making corn more expensive
use a small fraction of biomass and compete with food production
vegetable oils
main constituent is triglycerides
length of chains in the diesel range
biodiesel production from vegetable oils
transesterification of triglycerides. fatty esters are biodiesel
produced at scale today
conversion of lignocellulose
want to remove oxygen functionality and form C-C bonds
gasification of biomass
syngas can be produced from biomass gasification
fischer-tropsch synthesis can be used if liquid fuels are desired
pyrolysis of biomass
heating biomass in the absence of oxygen to make bio oil
issues with bio oil
high MW of oxygen
cant be thermally fractioned unlike crude oil
furanics polymerize, acids catalyze polymerization, phenolics consume excess hydrogen
catalytic transformations are needed to convert to fuels
production of furanics: HMF and Furfural
furanics are formed from acid catalyzed dehydration of C5 and C6 sugars
C5 sugars like xylose → furfural
C6 sugars like glucose → HMF
furfural
commercially produced today
used as a selective solvent or converted into fuels and chemicals
most common chemistry is to upgrade by hydrogenation: metal catalyst
most commonly makes furfuryl alcohol
conversion of furfural over metal catalysts
Cu catalysts adsorb over O site because it doesnt like C → more selective for furfuryl alcohol
Pd and Ni catalysts adsorb over C and/or O → makes 3 different products
bimetallic catalysts (Ni-Fe, Pd-Fe) increases selectivity to 2-methyl-furan (fuel additive)
bifunctional catalyst to cleave C-O bond
production of levulinic acid: the Biofine process
produces levulinic acid from C5 sugars in hemicellulose
can be converted to a range of products
DALA can be used as a benign herbicide and cancer treatment agent
can be converted to GVL by hydrogenation on Ru catalysts
HMF as a platform chemical
biobased polymers → furan dicarboxylic acid to replace terephthalic acid
PEF as a replacement for PET
issues with HMF compared to furfural
HMF can decompose or polymerize in aqueous solution to make Humins (complex polymerized species, usually burned for heat
cathode
where reduction happens
electrolyte
ionically conductive, electrically insulating
electrode
electron conductor
dictates the current produced at a given voltage
catalyst
RHE
if we define our zero point in potential to be the point when the hydrogen rxn is in equilibrium
spontaneous rxn
delta G < 0
delta Go=-nFEo
delta E0
amount of voltage required to be added for rxn to happen
how do we assess the properties of a catalyst
measure outlet concentration of reactant and product gases
relate rates (steady state or transient) to driving force (temperature)
charge passed is directly related to catalytic rate
relate rates to driving force (potential)
reference electrode
a reference point to compare the potential of working electrode to a fixed point
always at equilibrium
overpotential
n=E-E0
defines electrocatalyst activity by how much driving force must be applied beyond the equilibrium potential to drive current
rates depend exponentially on overpotential because Ea is lower as we apply a higher potential
normalizing current
if we do not normalize current our results will depend on how much catalyst we have instead of intrinsic catalyst properties
we must normalize by number of active sites → Turnover frequency
measure TOF using chemical titrants or counting metal atoms
influence of mass transport in meausred rates
want to be in a kinetically limited regime or else rates do not reflect solely properties of the catalyst
volmer step
H+ + e- + * → H*
1st step of HER
HER in acidic conditions
has one adsorbed intermediate H* → H binding energy dictates reactivity
peak of activity volcano at G=0
Pt has overpotential close to 0V but is expensive
Heyrovsky step
H+ + e- + H* → H2
ER step
Tafel Step
H* + H* → H2
LH step
Potential replacements for Pt
MoS2 → already used for hydrodesulfurization, DFT predicted high rate, research has been done to increase surface area and edges but still is not increasing the intrinsic activity
metal phosphides → earth abundant hydrodesulfurization catalysts
HER in basic conditions
water dissociation is important in base, reflected by delta GOH
Pt is much less active in base than in acid
use bifunctional catalyst → add oxophilic alloy which allows Pt to dissociate H2O
what limits the efficiency of water splitting/activity of fuel cells
OER/ORR
pourbaix diagram
shows the stability window of catalysts
the OER potential window is incredibly oxidizing → all catalyss for the OER exist as oxides
in acid only IrO2 is stable
why is operation in acid important
we have a good proton exchange membrane
anion exchange membranes are still being developed
alkaline electrolyzers use porous diaphragms
OER catalyst challenges
overpotentials for the OER rarely fall below 0.3V
OER involves three O containing adsorbates → scaling relations limit catalysts
best we can do is optimize O* binding energy at 1.6 eV
OER best catalysts allkaline
layered NiOOH
very poor catalyst without Fe
Persovskites are a tunable class of metal oxides
overly reactive perovskites lose crystallinity
Ir and Ru oxides are stable for OER
methanol synthesis catalyst
Cu-Zn
propane dehydrogenation catalyst
Pt-Sn
fluid catalytic cracking catalyst
ZSM-5
hydrodesulfurization catalyst
Co-Mo-S
ORR catalyst
Pt is the best catalyst but it is too strongly binding for optimal ORR activity
weaken Pt binding by using more coordinated/close packed surfaces (111 facet), larger particle size
ligand effect: subsurface metal shifting away from the fermi level
compressive strain shift d states away from fermi level
Pt3Ni alloys form Pt skin with strain
core shell particles can reduce Pt dissolution
Breaking Pt ensembles for optimal H2O2 generation