„Real Driving Emission“ Measurements at Frankfurt Airport

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ETH Conference Nanoparticles in Combustion 2019 „Real Driving Emission“ Measurements at Frankfurt Airport > ETH Conference 2019 > Schripp > FraPort Measurements DLR.de Slide 1 Tobias Schripp, Claus Wahl, Patrick Oßwald, Markus Köhler Institute of Combustion Technology Martin Plohr Institute of Propulsion Technology German Aerospace Center

Transcript of „Real Driving Emission“ Measurements at Frankfurt Airport

ETH Conference Nanoparticles in Combustion 2019 „Real Driving Emission“ Measurements at Frankfurt Airport

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Slide 1

Tobias Schripp, Claus Wahl, Patrick Oßwald, Markus Köhler Institute of Combustion Technology Martin Plohr Institute of Propulsion Technology German Aerospace Center

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 2

Sampling at Blast Fence of 18 West / FraPort

blast fence

18 West

n  Performed in 2015 / airegEM

n  3 monitored days (19. – 21. Mai)

n  281 take-off events in sampling period

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 3

18 West / FraPort Runway

n  Three different distances between blast fence and start position (100 m and 200 m distance could be analyzed)

n  Plumes at the highest distance and from regional jets showed no significant deviation from the background concentration

n  The respective aircraft information were recorded (type, company) and the engine information were derived from a database

n  ∑ 168 quantified plumes from 46 different jet engines (incl. GEnx-engines)

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 4

Instruments

n  Engine Exhaust Particle Sizer (EEPS)

n  5.6 – 560 nm, 10 Hz

n  tPN / tPM (calculated)

n  FT-IR (MKS MultiGas 2030)

n  CO2, NOx

n  Setup with high time resolution / low sensitivity -> many plumes could not be detected / analyzed

n  No aerosol conditioning -> total particle number without removal of volatile fraction (influence of fuel sulfur possible)

n  Aged aerosol / does not match to test rig measurements

t [h]

0.420 0.422 0.424 0.426 0.428 0.430

d [n

m]

10

100

1e+6 2e+6 3e+6 4e+6 5e+6

GEnx-2B67B

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 5

Data Analysis

Aircraft identification (type, airline, flight no.)

EEPS FT-IR

Time

Emission Index tPN & tPM (calc.)

PN PSD CO2 (NOx)

Engine specific EI

~ 7 s

Engine type

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 6

Data Analysis (2)

12:00 13:00 14:00 15:00 16:00 17:00

PN

C (E

EP

S) [

#/cm³]

0

1e+6

2e+6

3e+6

4e+6

5e+6

CO

2 (F

T-IR

) [pp

m]

0

200

400

600

800

1000

1200

1400PNCCO2Starts

19.05.2015

n  The identification of the plumes based on the combined particle/CO2 signal, recorded take-off time and aircraft type

EI PN [#/kg]

0.0

2.0e+

16

4.0e+

16

6.0e+

16

8.0e+

16

1.0e+

17

1.2e+

17

1.4e+

17

Cou

nt

0

5

10

15

20

25

30

35

EI PM [mg/kg]

200 400 600 800 1000 1200 1400 1600 1800

Cou

nt

0

5

10

15

20

25

30

35

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 7

Statistics

n  PN is higher than anticipated / measured values include volatile particle fraction (aged aerosol) / transient engine conditions

PW P

W40

62G

P727

0R

R T

rent

553

-61

RR

Tre

nt X

WB

IAE

V253

3-A5

GE

CF3

4-8C

5A1

GE

CF6

-80C

2D1F

PW P

W40

84IA

E V2

530-

A5PW

PW

4060

PW P

W40

56C

FMI C

FM56

-5B6

/3C

FMI C

FM56

-5A5

CFM

I CFM

56-3

B1G

E G

E90-

110B

1R

R T

rent

772

B-60

RR

Tre

nt 5

56-6

1R

R R

B211

-535

E4B

RR

RB2

11-5

24H

GE

GE9

0-11

5BC

FMI C

FM56

-7B2

6C

FMI C

FM56

-3C

1R

R T

rent

556

A2-6

1G

E C

F6-8

0C2A

5C

FMI C

FM56

-5C

4G

E C

F6-8

0C2B

7FC

FMI C

FM56

-5A1

CFM

I CFM

56-5

B4/P

RR

Tre

nt 8

92G

E C

F34-

10E5

A1C

FMI C

FM56

-5A3

CFM

I CFM

56-7

B26E

RR

Tre

nt 9

70C

FMI C

FM56

-5B4

/3C

FMI C

FM56

-5B3

/3G

E C

F34-

10E5

GEn

x-1B

GE

CF6

-80C

2B1F

CFM

I CFM

56-5

B6/P

GEn

x-2B

67/P

EI P

N [#

/kg]

1e+16

1e+17

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 8

Particle Number Emission Index

n = 20

GE

CF6

-80C

2A5

GEn

x-1B

RR

RB2

11-5

24H

CFM

I CFM

56-3

C1

GP7

270

PW P

W40

62G

E C

F6-8

0C2D

1FG

E C

F34-

8C5A

1G

E C

F6-8

0C2B

1FG

Enx-

2B67

/PG

E G

E90-

115B

CFM

I CFM

56-5

A3C

FMI C

FM56

-5B6

/3R

R T

rent

772

B-60

GE

CF6

-80C

2B7F

GE

CF3

4-10

E5A1

CFM

I CFM

56-5

B4/3

GE

GE9

0-11

0B1

CFM

I CFM

56-7

B26E

CFM

I CFM

56-3

B1C

FMI C

FM56

-5B3

/3C

FMI C

FM56

-5B4

/PR

R T

rent

XW

BC

FMI C

FM56

-5B6

/PC

FMI C

FM56

-5A5

RR

Tre

nt 5

56A2

-61

RR

Tre

nt 8

92IA

E V2

533-

A5C

FMI C

FM56

-5C

4G

E C

F34-

10E5

IAE

V253

0-A5

CFM

I CFM

56-5

A1PW

PW

4056

RR

Tre

nt 9

70PW

PW

4084

RR

Tre

nt 5

53-6

1R

R T

rent

556

-61

CFM

I CFM

56-7

B26

PW P

W40

60R

R R

B211

-535

E4B

EI P

N [#

/kg]

0200400600800

100012001400160018002000

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 9

Particle Mass Emission Index E

I PM

[mg/

kg]

Possible fuel effects: -  different hydrogen content -  different sulfur content The fuels are not from the same source!

V25

33

CFM

56-5

A

CFM

56-5

B /3

CFM

56-5

B /P

CF3

4-10

E5

GE

nx-2

B /P

PW

4062

Tren

t700

EI P

N [#

/kg]

1e+14

1e+15

1e+16

1e+17

1e+18

SCOPE11 T/O SCOPE11 Climb DLR Measurements

V25

33

CFM

56-5

A

CFM

56-5

B /3

CFM

56-5

B /P

CF3

4-10

E5

GE

nx-2

B /P

PW

4062

Tren

t700

EI P

M [m

g/kg

]

1

10

100

1000

10000

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 10

Comparison with SCOPE11 Emission Model

Number Mass

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 11

Indication of Engine Operating Condition n  Example: IAE V2533-A5 engine

n  Comparison with DLR engine simulation model (DLR-AT, M. Plohr)

SN data and max. SN of all variants from ICAO engine emissions data bank

EI NOx Smoke Number

EI NOx data of all variants from ICAO engine emissions data bank

85% 85%

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 12

Comparison to Similar Studies

n  18. – 25. May 2014 at LAX

n  275 plumes at a distance of 400 m

n  CO2 (LICOR), tPN (CPC), nvPN (CPC), EEPS (tPN, PSD)

CFM

56-5

A

CFM

56-5

B /3

CFM

56-5

B /P

GE

nx-2

B /P

PW

4062

Tren

t700

V25

33

EI P

N [#

/kg]

0.0

2.0e+16

4.0e+16

6.0e+16

8.0e+16

1.0e+17

1.2e+17

1.4e+17

1.6e+17LAX, 2014 FraPort, 2015

CFM

56-5

A

CFM

56-5

B /3

CFM

56-5

B /P

GE

nx-2

B /P

PW

4062

Tren

t700

V25

33

EI P

M [m

g/kg

]

0

200

400

600

800

1000

1200

1400

1600

1800

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 13

Comparison to Similar Studies

Number Mass

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 14

Conclusions

n  The experimental setup is excellent to provide real engine exhaust emission data / The selection of instruments can be improved (incl. nvPM).

n  The operating condition of the respective engines can be estimated on the basis of the nitrogen oxide data.

n  The correlation to SCOPE11 estimations is very limited due to a number of factors (volatile particles, unknown fuel composition).

n  The two relevant ICAO points (T/O and climb) are not enough to describe the transient engine operation.

n  In order to estimate the real engine emission at airports further research should focus on transient engine operation.

> ETH Conference 2019 > Schripp > FraPort Measurements DLR.de • Folie 15

Thank you for your attention!