PolEmiCa model for LAQ assessment in airports - · PDF filePOLEMICA MODEL FOR LAQ ASSESSMENT...
Transcript of PolEmiCa model for LAQ assessment in airports - · PDF filePOLEMICA MODEL FOR LAQ ASSESSMENT...
FORUM-AE
PolEmiCa model for LAQ assessment in airports
Kateryna Synylo, Oleksandr Zaporozhets
National Aviation University , Kyiv
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Modelling
Area
Model /
Database
Name Release
Release
Date Lead
Sponsoring
Organization
Airport
Local Air
Quality CONCEN version 1.0 1985
Kiev Institute of
Civil Aviation
Engineers
GosNII GA,
Moscow
Airport
Local Air
Quality
PolEmiCa version 2.0 1997 Kiev International
University of Civil
Aviation
CAA of the Ministry
of Transport of
Ukraine
Airport
Local Air
Quality
PolEmiCa version 3.1 2015 National Aviation
University, Kiev
CAA of the Ministry
of Infrastructure
of Ukraine
POLEMICA MODEL FOR LAQ ASSESSMENT IN AIRPORTS
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Engine emission model – Emission factor
assessment for aircraft engines, including influence
of operational and meteorological factors.
Jet model – model of contaminants transport and dilution by exhaust
gases jet. Assessment basic parameters of jet: length of jet penetration
“Sj”, height “ΔHa” and longitudinal coordinate “Xa” of buoyancy
effect of jet, dispersion characteristics (σx, σy, σz). Assessment
concentration value in jet “q”.
Dispersion model – dispersion of the contaminants in
the atmosphere due to turbulent diffusion and wind
transfer. Assessment concentration value in ambient air
“q”
POLEMICA MODEL
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Aircraft during LTO cycle; (ICAO Doc 9889)
Start-up procedures, (ICAO Doc 9889)
GSE; (ICAO Doc 9889)
APU/GPU; (ICAO Doc 9889)
Power plants (Ukrainian national methodology)
Fuel farm (Ukrainian national methodology)
Roadways vehicles (Ukrainian national methodology)
The following species were selected for assessment:
— Aircraft Fuel Burn (can be used to calculate CO2 respectively);
— Oxides of Nitrogen (NOx);
— Hydrocarbons (HC);
— Carbon Monoxide (CO);
— Particulate Matter (PM), as PM10 and PM2.5;
— Sulfur Oxides (SOx).
POLEMICA MODEL
Main purpose: Calculation of the inventory and dispersion parameters of the aircraft engine emission (CO, HC, NOx, SOx,
PM and HC) during the landing-takeoff cycle of the aircraft in airport area. It includes the emission from Start-up procedures,
APU and GSE also. The current version of PolEmiCa combines the calculation for main stationary sources and road vehicles
inside the airport area.
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Stationary sources:
Method of determination of the emission of contaminating matters into atmosphere
at incineration of fuel in boilers with productivity less than 30 tons of steam per hour or
less than 20 GKall per hour (taking into account the methodical letter of the Institute of
Atmosphere № 335/33-07 from May, 17, 2000), Moscow, 1999
Methodical rules for determination of the emission of contaminating matters into atmosphere from reservoirs. Novopolotsk, 1997 (taking into account annexes of the
Institute of Atmosphere from 1999, 2005, 2010).
Other sources:
ICAO, 2011: Airport Air Quality Manual, Doc 9889, 1st edition, 2011
Ukrainian national methods for fuel burn and emission factors of the road vehicles from Ministry of Transport and Agency of Statistics of Ukraine (2012)
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Stationary sources inventory calculations
code Emission substance Max
emission
factor, g/s
Annular
emission,
t/year
301 NO (Nitrogen (IV) oxide) 6,38 6,893
304 NO (Nitrogen (II) oxide) 4 1,120
328 Soot (PM2.5, PM10) 1,28 1,378
330 SO2 (Sulfur dioxide) 7,64 8,256
337 CO 5,41 5,846
703 benz/a/piren (3,4-
benzpiren)
0,000003 0,0000032
2904 Fuel oil ash 0,06 0,068
Emission matter Instantan
eous
emission
factor, g/s
Annular
emission,
t/year code Name
2704 HC (fuel vapor) 0,3136 0,491409
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PolEmiCa evaluation by CAEPport database
Aircraft
group Departures Arrivals Operations %
Large 3179 3177 6356 7.2
Medium 713 712 1425 1.6
Small 24109 24604 48713 55.1
Regional 5536 5571 11107 12.6
Business 103 113 216 0.2
Turboprop 9891 10102 19993 22.6
Piston 290 290 580 0.7
Total 43821 44569 88390 100 CAEPport - Model Airport layout
Flight operations distribution over aircraft groups
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AIRCRAFT EMISSION INVENTORY RESULTS
Model kg Start
up Take Off
Climb
Out
TO+
CO
AP+ Taxi
In Approach Taxi In Taxi Out Total Taxi Total
Po
lEm
iCa
(L
TO
ca
lcu
late
d)
CO 0 4312 3973 8285 85387 17307 68080 135095 203175 228767.0
HC 9474 429 298 727 16096 1484 14612 24964 39576 41787
NOx 0 149876 94734 244610 63449 50206 13243 25686 38928 333744
SOx 0 27084 22230 49314 39254 26078 13176 26440 39616 115009
PM10 0 368 722 1090 704 435 269 732 1001 2526
PM2.5 0 368 722 1090 704 435 269 732 1001 2526
Fuel 0 5416806 4446043 9862848 7850884 5215667 2635217 5287989 7923206 23001720
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COMPARISON OF AIRCRAFT EMISSION INVENTORY RESULTS BETWEEN THE TOOLS
Substance Calculation tools
LASPORT EDMS ALAQS ADMS ICAO PEGAS PolEmiCa
CO 273054 256 163 208 850 300359 419256 302395 228767.0
HC 48297 91 541 54 575 35789 57330 51815 41787
NOx 240720 238 866 301 880 279453 402509 309382 333744
SOx 16921 27 058 20 729 16 351 45544 96 103 115009
PM10 1788 2 827 1 961 4243 4365 2340 2526
PM2.5 1788 2 827 1 961 4243 4365 2340 2526
Fuel 21151038 19 895 750 20 783 565 20 438 419 33489839 19220622 23001720
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APU groups
Fuel Factor, kg/h
APU fuel group
Start-up
No load
(kg/h)
Normal running
Maximum ECS
(kg/h)
High load
Main engine
start
(kg/h)
Business jets/regional jets (seats < 100) 50 90 105
Smaller (100 ≤ seats < 200), newer types 75 100 125
Smaller (100 ≤ seats < 200), older types 80 110 140
Mid-range (200 ≤ seats < 300), all types 105 180 200
Larger (300 ≤ seats), older types 205 300 345
Larger (300 ≤ seats), newer types 170 235 315
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APU Emission, kg
Aircraft group FF CO HC NOx
BusnJet 918.8 10.992 0.865 4.735
SmalNew 301084.6 5948.844 3833.815 2097.181
SmalOld 26206.8 195.030 17.002 230.611
MidRang 183201.4 675.037 172.299 1685.863
LargNew 52431.3 856.940 42.297 343.123
LargOld 57201.7 189.703 32.140 609.354
Total APU for CAEPort 621044.7 7876.546 4098.418 4970.868
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APU PM inventory
Emission inventory analysis highlighted on sufficient APU
contribution to total emission:
•6.5% (PM2.5) at major UK airports (Stettler, 2011).
•7.9% (NOx) and 10.2% (PM10) for Frankfurt airport
(Umweltbericht, 2005);
BC emissions indices for the APU are
compared to two CFM56-2C1 main
engines tested during the campaign
(Kinsey, et al., 2012)
The emissions inventory of PM10 (total emissions - 25
tons/year) within the International Airport Frankfurt for 2005
with an intensity of takeoffs and landings 1 300 per day
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DETERMINATION OF THE EMISSIONS FROM APU (GTCP-98CK)
FOR JP-8 FUEL [KINSEY, et al., 2012]
FORUM-AE WP1 Air Quality Workshop (9th Jan 2014 - Manchester)
PM mass EIs determined by MST, EPA, and NASA-Langley for JP-8 PM number EIs determined by Aerodyne, MST, EPA, and NASA Langley for JP-8
PM mass emission indices is in the range 200-700 mg/kg fuel PM number emission is in the range 3-5∙10∙15 particles/kg fuel
Differential EInPSDs for the APU burning JP-8 fuel
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CO,HC,PM are 55% less
NOx is 48 % less
FB is 69 % less
GSE EMISSION INVENTORY RESULTS (advanced approach, ICAO doc 9889)
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COMPARISON OF EMISSION INVENTORY RESULTS BETWEEN
THE TOOLS (FOR ALL AIRPORT SOURCES)
Substance
Calculation tools
LASPORT EDMS ALAQS ADMS PEGAS PolEmiCa
CO 331475 766456 285032 377899 382258 303706
HC 57039 111781 64780 52294 59778 72311
NOx 328742 360286 360232 351933 383563 375666
SOx 88501 108318 90929 86787 166303 124012
PM10 6297 10645 6378 7323 6867 3639
PM2.5 5217 9099 3095 6237 5787 1377
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POLEMICA MODEL (dispersion calculation)
Dispersion model of PolEmiCa is based on
Gaussian/Eulerian approach to describe the
processes of atmospheric diffusion. Reason for
choice of such approach was caused by accordance
to the national standard OND-86, which is based on analytical solution of the semi - empirical equation
for turbulent diffusion in atmosphere.
The OND-86 method is used for administration
purpose of air quality control, including the definition
of the boundaries of sanitary protection zones around the sources of air pollution, airport is among
them.
The OND-86 method provides 20-30 minutes
averaged concentrations from stationary emission
sources, which are used as limits in domestic normative regulation.
The basic model equation for definition of instantaneous
concentration C at any moment t in point (x,y,z) from a
moving source from a single exhaust event with preliminary
transport by jet on distance XA and rise on total altitude H and
dilution of contaminants by jet (0) has a form:
1/2z
2z0
z2z0
2
z2z0
2
1/2y
2y0x
2x0
3
y2y0
2
x2x0
2
t]2K+[
t4K+2
H)+z(zexp
t4K+2
H)- z-(zexp
t]}2K+[ t]2K+[ {8
t 4K+2
)y-(y
t4K+2
)x-(xQexp
=t)z,y,c(x,
)(5.0 2
0ttutatuxx
wPL
2
05.0 tbtvyy
PL
2`
05.0' tctwzz
PL
The dispersion for the stationary sources in
PolEmiCa is calculated by the algorithm of OND-86.
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POLEMICA MODEL (DISPERSION CALCULATION)
ΔhA, XA – height and longitudinal coordinate of jet axis rise due to buoyancy effect; hEN – height of engine installation; RB – radius of jet expansion; X1 – longitudinal coordinate of first contact point of jet with ground; X2 – longitudinal coordinate of a point of jet lift-off from the ground due to buoyancy effect.
The estimation of the height of jet rise due to buoyancy effect, the Archimedes number is used:
20
00
)1(2
U
QRgAr T
0
3
0013.0 RXArh AA
Initial dispersion parameters (0s)
of puffs and height of jet rise hA
are function of the engine exhaust
outlet parameters (diameter,
velocity and temperature).
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Jet model was improved by CFD code
(FLUENT 6.3/Gambit), which allow investigates and assesses structure, properties and basic fluid mechanics
aspects of jet behavior.
JET MODEL
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OND-86 method for PM
The maximum value of surface concentration (mg/m3) produced by emission of point source
(round nozzle) under unfavorable meteorological conditions at distance XM distance (m)
from the source is determined by the formula:
A - coefficient depending on the temperature stratification of the atmosphere;
М – emission rate, g/s;
F – dimensionless coefficient that takes into account the rate of PM sedimentation in
the ambient air;
m, n – coefficients depending on output conditions of the exhaust mixture from the
emission source;
H – the height of the emission source above ground level, m;
– dimensionless coefficient that takes into account the effect of the terrain, in the case of
flat terrain = 1;
Т– temperature difference between exhaust mixture and ambient air, °С;
V1 – exhaust mixture rate, m3/s:
,4
0
2
1 D
V
31
2 TVH
nmFMACM
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If data on the distribution of PM size are collected, in this case diameter dg and appropriate
deposition rate vg will be determined by such way, that the mass of PM with a diameter greater dg
is 5% of the total PM mass.
F=1, if vg/Um≤0.015, where Um –unfavorable wind velocity.
F=1.5, if 0.015 ≤vg/Um≤0.030
F=2.0 – 3.0, if vg/Um >0.03, with taking into the emission purification factor (EPF):
if EPF is at least 90%, F = 2; if EPF is in the range 75-90%, F=2.5; F = 2; if EPF is less than 75%, F=3.
DIMENSIONLESS COEFFICIENT F IN DEPENDENCE ON THE PM SEDIMENTATION RATE
OND-86 method
The deposition rate is determined
in accordance with the Stokes law:
18
10 28 gdgg
μ-dynamic viscosity of air, g/cm∙s
Dependence of F coefficient on vg/um
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OND-86 method for PM
The distance Xm (m) from emission source, at which a surface concentration will
obtains the maximum value Cm under unfavorable meteorological conditions:
where dimensionless coefficient d for f < 100 is determined by following way:
for Vm≤0.5
for 0.5≤Vm≤2
for Vm>2
where:
,4
5Hd
Fxм
;5,0при28,0148,2 3 мefd
;25,0 при28,0195,4 3 мм fd
.2 при28,017 3 мм fd
3 165.0H
TVvm
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PM (under normal conditions)
Concentration of nvPM (qw, qwm) is related with concentration of vPM (q, qm)
by following way at the distance X from emission source:
volatile non-volatile
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nvPM The maximum concentration of nvPM is always higher and appropriate distance to the emission
source is less than for vPM. On the basis of numerical simulations was found the following
dependences for χ and χm on height H and w/k1.
Additionally, the dependence is obtained for χm on height H for w/k1 = const. As it is shown on
figure, the χm is practically independent of the height H for emission sources, which are displayed in
surface layer.
Curve 1 2 3 4 5
k1x/u1 300 400 500 600 700
Coefficients χ and χm
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Pollution for gas and PM
APU, H=4,5m, concentration for gas and PM>10 along the wind axis (emission parameters are the same):
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
50 100 200 300 400 700 1000 1500 2000 3000
Distance, m
Co
ncen
trati
on
, m
g/m
3
gas
0
0,5
1
1,5
2
2,5
50 100 200 300 400 700 1000 1500 2000 3000
Distance, m
Co
nc
en
tra
tio
n, m
g/m
3
PMover10
APU, H=4,5m, concentration field for gas and PM>10 (emission parameters are the same):
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nvPM PM polydispersity leads to the separation of maximums concentration in space for individual
fractions on the wind direction and therefore it contributes to the reduction of maximum total
concentration. The coefficient χm for the maximum of surface concentration is substantially less
dependent on the source height H than in the case of monodisperse PM, but it is still somewhat
increases with H, especially when h> 300m
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0
0,2
0,4
0,6
0,8
1
1,2
1,4
50 100 200 300 400 700 1000 1500 2000 3000
Distance, m
Co
nc
en
tra
tio
n, m
g/m
3 PM2,5
PM2,5+ PM10
PM2,5+PM10+PM>10
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
50 100 200 300 400 700 1000 1500 2000 3000
Distance, m
Co
ncen
trati
on
, m
g/m
3
gas
0
0,5
1
1,5
2
2,5
50 100 200 300 400 700 1000 1500 2000 3000
Distance, m
Co
nc
en
tra
tio
n, m
g/m
3
PMover10
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PolEmiCa calculations NOX: Power Plant+Aircraft Stands
a) 20 minutes b) 1 hour
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Transform to higher periods of averaging
Accuracy of the model: for stationary sources (OND-86, 20-minutes
averaging) the uncertainty ±25% is considered, for moving sources should
be higher
For the purposes of the CAEP MDG evaluation the 20-30-minutes averages of concentration (results of OND-86) were transformed into 1-hour averages using Addendum to the OND-86 “Method of calculation averaged over a long period, concentrations of harmful substances emitted into the atmosphere”
For stationary point sources the transformation coefficients are dependent from wind velocity and direction dispersions for specific atmosphere stability class mostly,
for moving point sources transformation coefficients are near to relation of intervals of averaging of the calculated concentration because of their minor dependence from atmosphere parameters.
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PolEmiCa calculations NOX: Power Plant and Aircrafts (stands+taxi+TO)
a) 20 minutes b) 1 hour
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PolEmiCa calculations NOX: aircraft contribution to aiport air pollution
•a) all the sources b) aircraft only
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a
b
c e
d f
Dispersion results for CAEPort: PolEmiCa comparison with other verified LAQ tools
a – PolEmiCa; b – EDMS; c – ADMS; d – LASPORT; e) ALAQS; f) PEGAS
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MEASUREMENT CAMPAIGN AT BORYSPOL AIRPORT – LOCATION SET UP 1
Measurement sites A und B: stationary
station A is located close-by the runway (30 m for sample mast) and mobile station B at 110 m from the runway due
to prevailing wind direction (south-east).
SE-Wind
aircraft
movement
320
360
400
440
480
0
30
60
90
120
12:30 12:40 12:50 13:00
CO
2 m
ixin
g ra
tio
n [p
pm
V]
NO
an
d N
Ox
mix
ing
ra
tio
[p
pb
V]
time [hh:mm]
Measurement point down, 10 s boxcar integration
NO; 3.6 m height
NOx; 3.6 m height
CO2; 3.6 m height
BAE147LYLF507-1H
(TX)
BAE147LYLF507-1H
(T/O)
A321CFM56-5B3
(TX)
B-735CFM563
(TX)
B-735CFM56-3B1
(T/O)
B-735CFM56-3B1
(TX)
A321CFM56-5B3
(T/O)
B-735CFM563
(T/O)
Background and the plume concentration for NO, NOx and
CO2 at 3.6 m height (mobile station B) for different aircraft conditions: take-off (T/O) and taxi (TX)
0
50
100
150
200
250
LY LF507-1H CFM56-5B3/P CFM56-3C1 CFM56-3B1
NO
xco
ncen
tratio
n [
g/m
3]
Engine types
PolEmiCa model
PolEmiCa/CFD model
measured (3.7 m)
measured (5.7 m)
Comparison of measured and modeled
averaged concentrations (3 s) of NOx in plume from aircraft engine for maximum
operation mode
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MEASUREMENT CAMPAIGN AT INTERNATIONAL BORYSPOL AIRPORT – LOCATION SET UP 2
SW-wind
W-wind NW-wind
aircraft
movement
Measurement sites A und B: stationary
station A is located close-by the runway (30 m for sample mast) and mobile station B at 110 m from the runway due to prevailing
wind direction.
Comparison of the PolEmiCa (previous and improved version) results with the measured NOx
concentration from aircraft engines exhausts under maximum mode at station B (a-down; b-up)
a
b
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CONCLUSIONS
Dispersion modelling by PolEmiCa is performed and the results are shown. The PolEmiCa results are quite comparable with other verified tools.
Improvement and validation of PolEmiCa model by measurement campaign at International Boryspol airport
PolEmiCa model is still under the development, currently in two important directions: improving of jet/wake transportation modelling by CFD codes and verification of the modelling results with measurement’s data in various airports of the world, which were done with various techniques
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Thank you for your attention!
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