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Understanding the Path to High- Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek, Sankaran Ramakrishnan, and Adam Simpson Advanced Energy Systems Laboratory Department of Mechanical Engineering Stanford University
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Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Feb 09, 2020

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Page 1: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Understanding the Path to High- Efficiency Chemical Engines

Chris F. Edwards

Kwee

Yan Teh, Shannon Miller, Matthew Svrcek, Sankaran

Ramakrishnan, and Adam Simpson

Advanced Energy Systems Laboratory Department of Mechanical Engineering

Stanford University

Page 2: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

40%40%

34%34%

>74% of U.S. CO2

is emitted by engines.

Page 3: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Engines•

All

engines have three essential features:

they produce work (by definition)–

they require a resource (1st

Law)

they reject energy to surroundings (2nd

Law)

Engine WorkEnergy Resource

Rejected Energy

(surroundings)

Page 4: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Efficiency Limits•

Only

four ways to transfer energy:

work (entropy free)–

heat (energy transfer due to ΔT )

matter (internal and external)•

External:

K.E., gravitational P.E., electrostatic P.E.

Internal: thermal, chemical, nuclear

radiation (not considered here)

It is the combination of energy resource and surroundings that determines the ultimate efficiency limitation of an engine (exergy).

Page 5: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Classifying Engines by Energy Resource

Hydrosphere

Atmosphere

Lithospher

e

Space

Sun

AccumulatedResources

Surface 

Water

Geothermal

Biosphere

HighK.E.

Moon

Anthrosphere

ChemicalEngines

(e.g., ICE)

NuclearEngines

(e.g., BWR)

HeatEngines

(e.g., Geo)

KineticEngines

(e.g., Wind)

RadiationEngines

(e.g., PV)

GravityEngines

(e.g., Hydro)

Page 6: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Chemical Exergy of Some FuelsFuel Chemical Chem. Exergy† ΔH° Reaction* ΔG° Reaction* ΔS° Reaction* Exergy Species+ Formula MJ per fuel MJ per fuel MJ per fuel kJ/K per fuel to LHV kmol kg kmol kg kmol kg kmol kg Ratio Methane CH4 832 51.9 -803 -50.0 -801 -49.9 -5.2 -0.33 1.037 Methanol CH3OH 722 22.5 -676 -21.1 -691 -21.6 50.4 1.57 1.068 Carbon Monoxide CO 275 9.8 -283 -10.1 -254 -9.1 -98.2 -3.51 0.971 Acetylene C2H2 1267 48.7 -1257 -48.3 -1226 -47.1 -104.6 -4.02 1.008 Ethylene C2H4 1361 48.5 -1323 -47.2 -1316 -46.9 -25.2 -0.90 1.029 Ethane C2H6 1497 49.8 -1429 -47.5 -1447 -48.1 60.5 2.01 1.048 Ethanol C2H5OH 1363 29.6 -1278 -27.7 -1313 -28.5 117.7 2.56 1.067 Propylene C3H6 2001 47.6 -1926 -45.8 -1937 -46.0 36.6 0.87 1.039 Propane C3H8 2151 48.8 -2043 -46.3 -2082 -47.2 129.2 2.93 1.053 Butadiene C4H6 2500 46.2 -2410 -44.5 -2421 -44.7 36.9 0.68 1.038 i-Butene C4H8 2644 47.1 -2524 -45.0 -2560 -45.6 120.2 2.14 1.047 i-Butane C4H10 2800 48.2 -2648 -45.6 -2712 -46.7 214.4 3.69 1.058 n-Butane C4H10 2805 48.3 -2657 -45.7 -2717 -46.7 200.0 3.44 1.056 n-Pentane C5H12 3460 48.0 -3272 -45.3 -3353 -46.5 271.3 3.76 1.057 i-Pentane C5H12 3454 47.9 -3265 -45.2 -3347 -46.4 277.0 3.84 1.058 Benzene C6H6 3299 42.2 -3169 -40.6 -3190 -40.8 69.4 0.89 1.041 n-Heptane C7H16 4769 47.6 -4501 -44.9 -4625 -46.2 415.0 4.14 1.060 i-Octane C8H18 5422 47.5 -5100 -44.7 -5259 -46.0 531.4 4.65 1.063 n-Octane C8H18 5424 47.5 -5116 -44.8 -5261 -46.1 487.1 4.26 1.060 Jet-A C12H23 7670 45.8 -7253 -43.4 -7440 -44.5 626.4 3.74 1.057 Hydrogen H2 236 117.2 -242 -120.0 -225 -111.6 -56.2 -27.88 0.977

+All species taken as ideal gases. †Environment taken as: 25°C, 1 bar, 363 ppm CO2, 2% H2O, 20.48% O2, balance N2 .*Reaction with stoichiometric air at 25°C, 1 bar. All products present as ideal gases, including water.

Fuel Conversion Efficiency potential (maximum first-law efficiency based on LHV) of most fuels is ~100%.

Page 7: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Classification & Architecture

Restrained

Reaction

Unrestrained

Reaction

ElectricalWork

(e.g., SOFC)

MechanicalWork

(e.g., None)

ElectricalWork

(e.g., MHD)

MechanicalWork

(e.g., GT)

Chemical

Engines

Architecture: the set of

components & connections, and the corresponding set of thermodynamic idealizations & device limitations that constitute a particular engine.

Classification: (1)

(2)

(3)

Page 8: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Two Approaches to Reaction•

Unrestrained–

Reactants are initially internally restrained, i.e., frozen in chemical non-equilibrium (e.g. combustion, fuel reforming).

Internal restraint is released, allowing reaction to proceed.–

Reaction “stops”

when equilibrium is achieved or kinetics are so slow as to be negligible (frozen again).

Inherently irreversible.

Restrained–

Reactants are initially externally restrained, i.e., in chemical equilibrium (e.g. electrochemistry, solution chemistry).

External restraints are changed, allowing reaction to proceed.–

Never stops; always dynamically balanced.–

Reversible only in the limit

of infinitesimal rate and constrained chemical pathway (chemical reversibility).

Page 9: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Restrained vs. Unrestrained Architectures

* After Primus, et al. “Proceedings of International Symposium on Diagnostics and Modeling of Combustion in Reciprocating Engines, (1985) p.529-538.

Restrained (SOFC) Unrestrained (DI Diesel*)

Efficiency declines with load•

Irreversibility reduced via facile kinetics (reaction and transport)

Efficiency improves with load•

Irreversibility reduced by reaction at extreme states

Page 10: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Entropy Generation with Unrestrained Reaction

Stoichiometric

propane/air mixture modeled as ideal gases. Includes the effects of variable specific heats, reaction, & dissociation.

Four ways to transfer energy…

Page 11: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

100

101

1020

20

40

60

80

100

Compression Ratio

First Law (per LHV)70-80% First LawFuel Exergy/LHV

Efficiency Achievable with Simple- Cycle Extreme Compression

CI

SI

Stoichiometric

propane/air

Firs

t-Law

Eff

icie

ncy

(%)

Page 12: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Extreme-Compression Post-Combustion Conditions

Stoichiometric

propane/air mixture modeled as ideal gases. Includes the effects of variable specific heats, reaction, & dissociation.

3300K! 1000 bar!

Must be fast! Must be balanced!

Page 13: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Free-Piston Engines

Example: Junkers Compressor

M. Nakahara and H. Kohama, “Junkers High Pressure Air Compressor-A Case of Technology Transfer through the Imperial Japanese Navy,”

in The 1st international conference on business and technology transfer, 2004.

Page 14: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Van Blarigan/Aichlmayr

Linear Alternator Concept

Page 15: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Experimental Apparatus

Page 16: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

16

Operating Space

Page 17: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Combustion VisualizationCR = 30:1 CR = 100:1

1 ms injection duration, finishing at TDC

Page 18: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Combustion Data at CR = 70

10-1100

101

102

Volume (V/V0)

Pres

sure

(bar

)

Air-onlyCombustionIsentrope

φ

= 0.35

Page 19: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

19

First-Law Efficiency: Initial Results

10 20 30 40 50 60 70 80 90 100

30

40

50

60

70

80

90

Compression Ratio

Effic

ienc

y (%

)

First law (per LHV), φ = 0.3570-80% first lawCombustion data

Page 20: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

20

First-Law Efficiency: Initial Results

10 20 30 40 50 60 70 80 90 100

30

40

50

60

70

80

90

Compression Ratio

Effic

ienc

y (%

)

First law (per LHV), φ = 0.3570-80% first lawCombustion dataTheoretical efficiency with air losses Losses in air

experiments

Additionallosses due tocombustion

Page 21: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

21

First-Law Efficiency: Initial Results

10 20 30 40 50 60 70 80 90 100

30

40

50

60

70

80

90

Compression Ratio

Effic

ienc

y (%

)

First law (per LHV), φ = 0.3570-80% first lawCombustion dataTheoretical efficiency with air lossesLow blowby

53%, 20°C walls

Losses in airexperiments

Additionallosses due tocombustion

Confident we can demonstrate 60% indicated•

Speculate 70% is achievable regeneratively

Page 22: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Simple-Cycle Steady Flow

What is the optimal action to be taken (transfer or transformation) at each step in order to minimize Sgen

?

Page 23: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Challenges w/Steady Flow•

Irreversibility–

Chemical reaction

Reactant mixing–

Rejection of non-equilibrium exhaust

Polytropic

compression and expansion (Friction, viscous dissipation)

Material Limitations–

Temperature limit

Pressure limit

Page 24: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Polytropic

work

-0.5 0 0.5 1 1.5 2-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

s-si(kJ/kgmixK)

h-h i(M

J/kg

mix

)

i

b' c'

b

c

f '

f

Pi

a'a

Reversible WorkCycle

Net WorkOut

Equilibrium Attractor Trajectory

Irreversible Work Cycle

Pi

Premixed Reactants, GRI 3.0Polytropic

efficiency --

0.9

Page 25: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Optimal Pressure Ratio

100 101 102 1030

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Pressure Ratio

Ent

ropy

Gen

erat

ion

(kJ/

kgm

ixK

)

CombustionFluid FrictionTotal

P*

Nonpremixed

reactantsPolytropic

efficiency --

0.8

Page 26: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Effect of Polytropic

Efficiency

Polytropic Efficiency η

Pres

sure

Lim

it P* (b

ar)

0.6 0.65 0.7 0.75 0.8 0.85100

101

102

103

0.6 0.65 0.7 0.75 0.8 0.851500

1750

2000

2250

2500

2750

3000

3250

Max

imum

Tem

pera

ture

Tm

ax (K

)

Nonpremixed

reactants

In the absence of material limitations, the pressure ratio of today’s engines is well below optimum.

Page 27: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Temperature Limit

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8-1.5

-1

-0.5

0

0.5

1

1.5

s-si (kJ/kgmixK)

h-h

i (MJ/

kgm

ix)

Brayton (18.5:1)CT (40:1)CT(160:1)Attractor (160:1)Attractor (40:1)

f

c

i

Increasingwork-output

DecreasingSgenTemperature Limit : 1650K

A temperature-limited, extreme-state cycle gives the optimal simple-cycle GT architecture.

Nonpremixed

reactants Polytropic

efficiency --

0.9

Page 28: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

T-Limited Simple-Cycle GT

Page 29: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Take-Home Messages (1 of 2)•

Despite three centuries of effort, engine efficiency remains well below theoretical limits

(resource exergy)—often by more than a factor of two.

Misconceptions

about what ultimately limits engine efficiency (e.g., Carnot) are sometimes to blame.

Working in the space between the exergy limit and real engines, we have found the ideas of classification and

architecture to be useful.

Our approach is to use the principles of optimal control

to identify the most efficient architecture

for any given set of allowable devices, resources, and environment.

For chemical engines, a key to understanding is whether the architecture uses restrained or

unrestrained reaction.

Page 30: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Take-Home Messages (2 of 2)•

Irreversibility in restrained reaction

engines can be reduced by improving kinetics. To date, the only examples of restrained reaction engines are electrochemical (i.e., fuel cells).

Irreversibility in unrestrained reaction

engines can be reduced by reaction at states of high energy density (extreme-states principle).

For simple-cycle engines, we believe that architectures capable of delivering 60% first-law efficiency

are possible.

For regenerative engines, we believe a systematic approach to identifying optimal architectures can be developed. We speculate that such engines are capable of 70% first-law efficiency.

For combined-cycle engines, we speculate that a systematic approach is again possible and can lead to the development of engines with first-law efficiencies in excess of 80%.

Page 31: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,
Page 32: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

0.1

1.0

10.0

100.0

1600 1700 1800 1900 2000 2100Time (Years A.D.)

Firs

t-Law

Effi

cien

cy (%

) .

Savery, Newcomen (<0.5%)Watt/Boulton Steam EnginesPost-Watt Steam EnginesLenoir, Hugon Coal-Gas EnginesOtto/Langen Coal-Gas EnginesAtkinson, Tangye Coal-Gas EnginesBanki Spirits EnginePriestman's Oil EngineDiesel's Oil EnginesAutomotive SI EnginesTruck Diesel EnginesLarge Bore DI DieselsSteam TurbinesGas Turbine/Steam TurbinePolymer Electrolyte Membrane FCPhosphoric Acid Fuel CellsSOFC/Gas Turbine

Conversion Efficiency of Engines

50%

After three centuries of development, combined-cycle efficiency just exceeds 50%, simple-cycle remains below.

Page 33: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Work Extraction During CombustionOtto Cycle Processes

Detailed Chemical Kinetics Slider-Crank Piston Profile

All complete rxn solutions resulted in increased irreversibility!2nd Law

Conclusions invariant with changes in fuel (methane, methanol, propane), rate, piston profile, etc.

Page 34: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Optimal Control Problems

Page 35: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Linear system wrt

control input q ⇒ bang-bang control

Sgen is minimized when reactions occur at Vmin

The key is to manage the location of the u-v attractor

Strategy has no explicit dependence on kinetics

(Pontryagin

Max. Principle)

Optimal Piston Motion

Page 36: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Work Extraction During CombustionOtto Cycle Processes

Detailed Chemical Kinetics Slider-Crank Piston Profile

2nd Law

The key to reducing irreversibility in unrestrained reaction (combustion) is to drive the reactants to the highest u state.

u-v attractorstates

Page 37: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Restrained Reaction w/out Electrochemistry?

2 2

2 2

2 2

2

2 2

( , ) ( , )

( , ) ( , )

( ) ( )

( )

12( , ) ( , )

Transfer Restraint Requires:

Reaction Restraint Requires:

Gib

H g cylinder H aq reactor

O g cylinder O aq reactor

H O cylinder H O reactor

H O reactor

H aq reactor O aq reactor

μ μ

μ μ

μ μ

μ

μ μ

=

=

=

=

+

bs-Duhem Relation:d sdT vdPμ = − +

Page 38: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

10-2

10-1

100

101

102

103

104

105

106

-350

-300

-250

-200

-150

-100

-50

0

50

P/P0

μ (k

J/m

ol)

Chemical Equilibrium, 300K

H2

(kJ/molH2

)O2

(kJ/molO2

)

H2

+ ½

O2

(kJ/molReaction

)

Incompressible H2

O(l)(kJ/molH2O

)

H2

+ ½

O2 H2O

Po

= 1 bar

Page 39: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Pressure Retarded Osmosis

Sat. NaCl: πο

= 380 atm Dead Sea: πo

> 500 atm

Page 40: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

A Restrained Chemical Engine

Heat

HumidAir

Water and�Depleted Air

NafionWork

Protons Electrons

Hydrogen

M

2

2, ,

• 2 2

2

Anode:

2gas a nafion a anodeH H e

H H e

μ μ μ+ −

+ −+

= +% %

2 2

2 2, , ,

• 2 2 0.5

2 2 0.5

Cathode: nafion c cathode gas c gas c

O H OH e

H e O H O

μ μ μ μ+ −

+ −+ +

+ + =% %

2 2 2

2 2 2

(

, ,

, , ,

, ,

Chemical Affinity)

,

2 0

Nafion connected, open circuit to motor:

.5 2

0.5r overall

nafion anode nafion cathodeH Hgas a cathode gas c anode gas cH O H Oe e

gas a gas c gas cH O O

G

H

μ μ

μ μ μ μ μ

μ μ

+ +

− −

−Δ =−

=

+ + = +

+ −

% %

% %

14442A

( )( )2

2cathode anode

anode cathodee e

F φ φ

μ μ− −

= −% %4443 144424443

Page 41: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Electrochemical Cell w/Losses

ReactantPreparation

TripleJunc.

TripleJunc.

TripleJunc.

TripleJunc.

CathodeReactants

ReactantCrossover

ElectrolyteMembrane

AnodeContact

CathodeContact

Reactants

AnodeContact

CathodeContact

BipolarPlates

-

+

ElectrolyteMembrane

ReactantCrossover

AnodeReactants

CathodeReactantChannel

AnodeReactantChannel

TransportLosses

ActivationLosses

Page 42: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

42

Restrained/Unrestrained Expansion

maxoutW W= maxoutW W<

Page 43: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

43

Restrained/Unrestrained Reaction

maxoutW W= maxoutW W<

RestrainedReaction

UnrestrainedReaction

Page 44: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

44

Implementing Restrained Reaction

2 2

1 1

0

if is small for a given d

will be small

lost destroyed gen

i ii

gen

piston

gen

W X T S

AS d dT T

dx dAT

S

ξ ξ

ξ ξ

ν μξ ξ

ξ

ξ

= =

−= =

∑∫ ∫

The rate of change of the restraint must be slow compared to the internal relaxation time of the resource

in order to be fully restrained (reversible).

Page 45: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

45

The reaction pathway must be open•

no constraints or additional restraints on the reaction•

reaction affinity equals zero before work is produced

Work must couple to the chemical reaction•

temperature•

pressure•

composition•

electrical potential

Requirements for Restrained Chemical Engines

determining parameters for electrochemical potential of reacting species

Page 46: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,
Page 47: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Minimum Sgen Solution1. Bang-bang solution, switching at P = Peq

2. Optimal over set of all

possible piston motions

Page 48: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

P < Peq ⇒ compressionControl: dV < 01st. law: dU = −P dV

Constant-UV Equilibrium Attractor

Teq dSeq = dUeq + Peq dVeq

= dU + Peq dV= (−P + Peq ) dV

Teq dSeq < 0

V1 + dV

V1

U1

+dU

V

U1

U

S

Seq,1

S1

Seq,1

+dSeq

dSeq

Extracting energy during combustion can only

decrease efficiency. We are going the wrong way!

Page 49: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,
Page 50: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Exergy Destruction via Reaction

Stoichiometric propane/air mixture modeled as ideal gases. Includes the effects of variable specific heats, reaction, & dissociation.

Page 51: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Effect of Compression

Stoichiometric propane/air mixture modeled as ideal gases. Includes the effects of variable specific heats, reaction, & dissociation.

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Effect of Heating & Cooling

Stoichiometric propane/air mixture modeled as ideal gases. Includes the effects of variable specific heats, reaction, & dissociation.

Page 53: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,
Page 54: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Extreme Compression Concept

High compression ratio, ~100:1

Multiple pistons (balanced forces, ~unity aspect ratio)

High speeds, M~0.3 (reduced time for heat transfer)

-

air at 300 K, speed of sound ~ 350 m/s 100 m/s

-

for reference: 3000 RPM and 90 mm stroke 9 m/s

Page 55: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

55

Combustor Design

Combustor tested to 2000 bar

Material stress strategy: Use pressure profile to our advantage

Combustor bore

below 100 bar after 200 mm

Injectors (5)

Exhaust valve

Page 56: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

56

Combustor Design and Injection

5 Bosch, diesel injectors (1500

bar) withcustomized

nozzles

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57

Volume Measurement

Optical bar code. Outer diameter

reflects light, inner diameter

does not.Graphite bearings

Copper ring for thermally protecting

the rings

Graphitesealing ring

Piston Design

Steel ring for VR sensors

Page 58: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

5878 80 82 84 86

20

40

60

80

100

120

140

160

Time (ms)

Pres

sure

(bar

)

800 g piston

58 59 60 61 62 63

20

40

60

80

100

120

140

160

Time (ms)

Pres

sure

(bar

)

350 g piston

30 40 50 60 70 80 90 100

0.2

0.4

0.6

0.8

1

Time (ms)

Vol

ume

(V/V

0)

800 g piston350 g piston

Air Compression: Initial Findings

MPS = 90 m/s

CR = 45

MPS = 60 m/s

CR = 45

Page 59: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

59

31.5 32 32.5 33 33.5 34 34.520

40

60

80

100

120

140

160

180

200

Time (ms)

Pres

sure

(bar

)

Method of CharacteristicsExperimental

Simulating Acoustic WavesMethod of Characteristics simulations show that high piston

accelerations cause acoustic waves.

Shock forms due to lack of dissipation in model.

Page 60: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

60

Air Data

10-2 10-1 100

100

200

300

400

500

Volume (V/V0)

Pres

sure

(bar

)

CR = 99Isentrope

Compression

Expansion

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61

50 60 70 80 90 100-15

-14

-13

-12

-11

-10

-9

-8

Compression Ratio

Wne

t/LH

V (%

)

40 50 60 70 80 90 10085

90

95

100

Compression Ratio

P peak

/Pis

entro

pic (%

)

Total Losses Over an Air CycleLosses consist of heat and mass transfer (~50:50).

Percentage work lost per LHV Percentage isentropic pressure achieved

500 bar

Page 62: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Critical QuestionsCritical Question Extreme

Compression Apparatus

Extreme Compression Engine

Material stress

Wall temperatures and heat transfer

NOx

Seal survivability

Sealing ability

Ignition phasing

Combustioncontrol

solutions available and understood

more research required, but no obvious barriers

high priority for research

? ?

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Page 64: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

64

Aquifer Sequestration as Commonly Envisioned

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65

Potential Problems with Aquifer Sequestration

Page 66: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

66

Pre-equilibrated Aquifer Sequestration

Page 67: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Storage Security

Adapted from IPCC Special Report on Carbon Dioxide Capture and Storage 2005, p. 208

Page 68: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Conceptual Plant Schematic

Indirectly FiredCombined-

Cycle Engine

Pre-equilibrated StorageZero Emissions to Atm.42.1% Efficiency(LHV, 1600 K, 38°C)

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Modeled System

Page 70: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Thermodynamic AnalysisComponent Power (MW)Brayton Cycle

Compressor -388.4Turbine 659.9

Net 271.5Rankine Cycle

Condensate Pump -0.026Feed Pump -2.27Turbine 331.6

Net 329.3ASU -73.2Water Pumps -27.5Overall Plant 500.0Heat Rate (LHV basis) 1188.4Overall Efficiency 42.1%

Combustor Outlet T=1600 KCondenser T=38°C

Page 71: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Experimental Schematic

Page 72: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Experimental Combustor

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Page 74: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Mixing Entropy Generation

Unmixed NG/air at the same temperature and pressure. (~2% of comb. Sgen

)

Page 75: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Next: Regeneration

What is the optimal action to be taken (transfer or transformation) at each step in order to minimize Sgen

?

Work, Heat, and Matter with Closure Constraints and Environmental Interactions

Page 76: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

Thermodynamic State-Space

Natural Gas –

Air, Equivalence Ratio 0.5

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Page 78: Understanding the Path to High- Efficiency Chemical EnginesUnderstanding the Path to High-Efficiency Chemical Engines Chris F. Edwards Kwee Yan Teh, Shannon Miller, Matthew Svrcek,

0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.081

1.5

2

2.5

3

3.5

4

Work-Specific Carbon Emission to Atmosphere (kg-C/MJ-Work)

Wor

k-S

peci

fic E

xerg

y C

onsu

mpt

ion

(MJ-

Exe

rgy/

MJ-

Wor

k)

6FB

LM6000

LMS100

STIG

GTCC-H

Sub.Super

Elsam

EUDOE

Super-SFAGE1GE2

GE3Shell-SFAEgas

GTCC-SFA

GTCC-SFA

Super-SFAOxyPC-SFA

GE3Shell-SFA Sub.

Super

EUDOE

Super

ShellUltra

GE

Shell

Super

GE

ShellOxyPC

FGC1FGC2ATR

OxyNG

SI

SI-H

DICI

LBCI

LM6000DSIH2

PEM

PEM

PEM

SIMeOH

SIMeOH

CLSC

CLCC

SOGT-MSOGT-CASOGT-CBSOGT-CB

MC-Ultra-Coal-NG

SOGT-RASOGT-RBSOGT-RC

SOGT-ZSOGT-BA

SOGT-BB

SOGT-BCSOGT-C

MCGC-RAMCGC-RB

MCNG-RA

MCNG-RB

AZEPAZEPGraz

ATR-GTCCWC-K

SOGT-K

WC-GWC-G

CESMAT

100%

67%

50%

40%

33%

29%

25%

0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.081

1.5

2

2.5

3

3.5

4

100%

67%

50%

40%

33%

29%

25%

Sub

Super

DOEPCEUPC

Ultra IGCC

SI

SIH

CI

Work-Specific Carbon Emission to Atmosphere(kg-C/MJ-Work)

Work-Specific Exergy Consumption

(MJ-Input-Exergy/MJ-Work)

Exergetic Efficiency

(MJ-Work/MJ-Input-Exergy)

ADGT

ICGT

GTCC

SOGT

RGT

HFGT

SI

SIH

CI

LBCI

ADGT

HCCI

PCCI

Hydrogen

SI

PEM

SIH

|? No Sequestration|? 50% Seq. ? |? | |? 90% Seq.

SI

SIHIGCC

Super

Oxy

GTCC

SOGT

OxyATRCCCLCC

IGCLMat

Graz

SOGT

AZEP

MCUltra

MCCC

IGMC

EC, GCEP

SCWC,

GCEP