1.A3.b ii - Transport: Road Transport: Light Duty Vehicles

Short description

In sub-category 1.A.3.b ii - Road Transport: Light Duty Vehicles emissions from fuel combustion in Light Duty Vehicles (LDVs) are reported.

Category Code Method AD EF
1.A.3.b ii T1, T3 NS, M CS, M, D
Key Category NOx NMVOC SO2 NHx PM2.5 PM10 TSP BC CO PB Cd Hg Diox PAH HCB
1.A.3.b ii L/- -/- -/- -/- L/T L/T -/- L/T -/- -/- -/- -/- -/- -/- -

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T = key source by Trend L = key source by Level

Methods
D Default
T1 Tier 1 / Simple Methodology *
T2 Tier 2*
T3 Tier 3 / Detailed Methodology *
C CORINAIR
CS Country Specific
M Model
* as described in the EMEP/EEA Emission Inventory Guidebook - 2019, in the group specific chapters.
AD - Data Source for Activity Data
NS National Statistics
RS Regional Statistics
IS International Statistics
PS Plant Specific data
As Associations, business organisations
Q specific Questionnaires (or surveys)
M Model / Modelled
C Confidential
EF - Emission Factors
D Default (EMEP Guidebook)
C Confidential
CS Country Specific
PS Plant Specific data
M Model / Modelled

Methodology

Activity data

Specific consumption data for light-duty vehicles (LDV) are generated within TREMOD 1). - The following table provides an overview of annual amounts of fuels consumed by LDV in Germany.

Table 1: Annual fuel consumption of light duty vehicles, in terajoules

1990 1995 2000 2005 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Diesel oil 32,966 88,993 123,189 120,766 114,054 116,567 114,269 119,464 128,571 135,670 143,867 151,620 150,118 153,247 144,863 159,820
Gasoline 34,782 21,433 18,095 11,085 6,899 6,593 6,048 5,933 6,180 6,109 6,245 6,537 6,698 7,158 7,086 7,792
CNG 355 1,261 1,315 1,221 989 1,067 1,140 912 922 806 871 899 1,030
Biodiesel 139 1,365 8,070 8,744 8,133 8,065 7,085 7,901 7,421 7,627 8,094 8,726 8,729 12,033 11,103
Biogasoline 76.1 267 270 268 254 269 265 271 276 301 309 324 371
Biogas 174 196 269 192 214 255 217 354 484 492
Ʃ 1.A.3.b ii 67,748 110,566 142.649 140,351 131,225 132,879 130,046 133,921 144,256 150,797 159,137 167,703 166,866 170,668 165,689 180,607

For information on mileage, please refer to sub-chapters on emissions from tyre & brake wear and road abrasion.

Emission factors

The majority of emission factors for exhaust emissions from road transport are taken from the 'Handbook Emission Factors for Road Transport' (HBEFA, version 4.1) 2) where they are provided on a tier3 level mostly and processed within the TREMOD software used by the party.

However, it is not possible to present these highly specific tier3 values here in a comprehendible way .

With respect to the country-specific emission factors applied for particulate matter, given the circumstances during test-bench measurements, condensables are most likely included at least partly. 1)

For heavy-metal (other then lead from leaded gasoline) and PAH exhaust-emissions, default emission factors from the 2019 EMEP Guidebook (EMEP/EEA, 2019) 3) have been applied. Regarding PCDD/F, a tier1 EF from (Rentz et al., 2008) 4) is used instead.

Table 2: tier1 emission factors

Pb Cd Hg As Cr Cu Ni Se Zn B[a]P B[b]F B[k]F I[1,2,3-c,d]p PAH 1-4 PCDD/F
[g/TJ] [mg/TJ] [µg/km]
Diesel oil 0.012 0.001 0.123 0.002 0.198 0.133 0.005 0.002 0.419 498 521 275 493 1.788
Biodiesel1 0.013 0.001 0.142 0.003 0.228 0.153 0.005 0.003 0.483 575 601 317 569 2.062
Gasoline fuels 0.037 0.005 0.200 0.007 0.145 0.103 0.053 0.005 0.758 96 140 69 158 464
CNG2 & biogas3 NE NE NE NE NE NE NE NE NE NE NE NE NE NE
LPG4 NE NE NE NE NE NE NE NE NE 4.35 0.00 4.35 4.35 13.0
all fuels 0.000006

1 values differ from EFs applied for fossil diesel oil to take into account the specific NCV of biodiesel
2 no specific default available from 5); value derived from CNG powered busses
3 no specific default available from 6); values available for CNG also applied for biogas
4 no specific default available from 7); value derived from LPG powered passenger cars

Table 3: Outcome of Key Category Analyis

for: NOx BC PM10 PM2.5
by: Level Level & Trend -/T L/T

Nitrogen oxides

NOx emissions increased steadily until 2002 following the shift to diesel engines. During the last ten years, emissions decline steadily due to catalytic-converter use and engine improvements resulting from ongoing tightening of emissions laws and improved fuel quality.

Ammonia and sulphur dioxide

As for the entire road transport sector, the trends for sulphur dioxide and ammonia exhaust emissions from passenger cars show charcteristics very different from those shown above.

Here, the strong dependence on increasing fuel qualities (sulphur content) leads to an cascaded downward trend of emissions , influenced only slightly by increases in fuel consumption and mileage.

For ammonia emissions the increasing use of catalytic converters in gasoline driven cars in the 1990s lead to a steep increase whereas both the technical development of the converters and the ongoing shift from gasoline to diesel cars resulted in decreasing emissions in the following years.

Particulate matter & Black carbon

Starting in the middle of the 1990s, a so-called “diesel boom” began, leading to a switch from gasoline to diesel powered passenger cars. As the newly registered diesel cars had to meet the EURO2 standard (in force since 1996/'97) with a PM limit value less than half the EURO1 value, the growing diesel consumption was overcompensated qickly by the mitigation technologies implemented due to the new EURO norm. During the following years, new EURO norms came into force.

With the still ongoing “diesel boom” those norms led to a stabilisation (EURO3, 2000/'01) of emissions and to another strong decrease of PM emissions (EURO4, 2005/'06), respectively. Over-all, the increased consumption of diesel in passenger cars was over-estimated by the implemented mitigation technologies.

Recalculations

Compared to submission 2022, recalculations were carried out due to a routine revision of the TREMOD software. Furthermore, for 2020, over-all activity data for NFR 1.A.3.b have been adapted to the final Energy Balance 2020.

Here, for diesel oil, significant amounts have been re-allocated from heavy-duty vehicles (see NFR 1.A.3.b iii) whereas, for gasoline, higher amounts have been re-allocated from passenger cars (see NFR 1.A.3.b i).

Table 4: Revised fuel consumption data, in terajoules

1990 1995 2000 2005 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
DIESEL OIL
current submission 32,966 88,993 123,189 120,766 114,054 116,567 114,269 119,464 128,571 135,670 143,867 151,620 150,118 153,247 144,863
previous submission 25,715 69,182 97,262 104,706 105,371 108,404 106,814 112,117 121,083 128,168 136,581 145,105 144,960 148,955 142,293
absolute change 7,250 19,812 25,927 16,060 8,683 8,163 7,455 7,347 7,488 7,502 7,286 6,515 5,158 4,292 2,570
relative change 28.2% 28.6% 26.7% 15.3% 8.24% 7.53% 6.98% 6.55% 6.18% 5.85% 5.33% 4.49% 3.56% 2.88% 1.81%
BIODIESEL
current submission 139 1,365 8,070 8,744 8,133 8,065 7,085 7,901 7,421 7,627 8,094 8,726 8,729 12,033
previous submission 108 1,078 6,997 8,078 7,564 7,538 6,649 7,441 7,011 7,241 7,746 8,426 8,484 11,820
absolute change 30.9 287 1,073 666 570 526 436 460 410 386 348 300 244 213
relative change 28.6% 26.7% 15.3% 8.24% 7.53% 6.98% 6.55% 6.18% 5.85% 5.33% 4.49% 3.56% 2.88% 1.80%
GASOLINE
current submission 34,782 21,433 18,095 11,085 6,899 6,593 6,048 5,933 6,180 6,109 6,245 6,537 6,698 7,158 7,086
previous submission 28,187 17,111 14,466 9,216 6,090 5,877 5,417 5,348 5,599 5,547 5,670 5,919 6,009 6,336 6,251
absolute change 6,595 4,322 3,628 1,869 809 716 631 585 581 562 576 617 688 822 835
relative change 23.4% 25.3% 25.1% 20.3% 13.3% 12.2% 11.7% 10.9% 10.4% 10.1% 10.2% 10.4% 11.5% 13.0% 13.4%
BIOGASOLINE
current submission 76,1 267 270 268 254 269 265 271 276 301 309 324
previous submission 63,3 235 241 240 229 243 241 246 250 270 273 285
absolute change 12.8 31.3 29.4 28.0 25.1 25.3 24.4 25.0 26.0 31.0 35.4 38.1
relative change 20.3% 13.3% 12.2% 11.7% 10.9% 10.4% 10.1% 10.2% 10.4% 11.5% 13.0% 13.4%
CNG
current submission 355 1.261 1.315 1.221 989 1.067 1.140 912 922 806 871 899
previous submission 340 1.217 1.266 1.177 953 1.028 1.097 878 888 776 837 1.012
absolute change 14.2 44.5 49.2 44.1 36.7 38.4 42.9 33.3 33.6 30.5 34.9 -112
relative change 4.2% 3.66% 3.88% 3.7% 3.8% 3.7% 3.91% 3.79% 3.78% 3.93% 4.17% -11.1%
BIOGAS
current submission 174 196 269 192 214 255 217 354 484
previous submission 168 188 259 185 207 245 209 340 464
absolute change 6.30 7.25 9.69 7.23 7.83 9.28 8.22 14.2 19.7
relative change 3.75% 3.85% 3.74% 3.91% 3.79% 3.78% 3.93% 4.17% 4.24%

Due to the variety of tier3 emission factors applied, it is not possible to display any changes in these data sets in a comprehendible way.

For pollutant-specific information on recalculated emission estimates for Base Year and 2020, please see the recalculation tables following chapter 8.1 - Recalculations.

Planned improvements

Besides a routine revision of the underlying model, no specific improvements are planned.


1) Knörr et al. (2022a): Knörr, W., Heidt, C., Gores, S., & Bergk, F.: ifeu Institute for Energy and Environmental Research (Institut für Energie- und Umweltforschung Heidelberg gGmbH, ifeu): Fortschreibung des Daten- und Rechenmodells: Energieverbrauch und Schadstoffemissionen des motorisierten Verkehrs in Deutschland 1960-2035, sowie TREMOD, im Auftrag des Umweltbundesamtes, Heidelberg & Berlin, 2022.
2) Keller et al. (2017): Keller, M., Hausberger, S., Matzer, C., Wüthrich, P., & Notter, B.: Handbook Emission Factors for Road Transport, version 4.1 (Handbuch Emissionsfaktoren des Straßenverkehrs 4.1) URL: http://www.hbefa.net/e/index.html - Dokumentation, Bern, 2017.
3), 5), 6), 7) EMEP/EEA, 2019: EMEP/EEA air pollutant emission inventory guidebook 2019; https://www.eea.europa.eu/publications/emep-eea-guidebook-2019/part-b-sectoral-guidance-chapters/1-energy/1-a-combustion/1-a-3-b-i/view; Copenhagen, 2019.
4) Rentz et al., 2008: Nationaler Durchführungsplan unter dem Stockholmer Abkommen zu persistenten organischen Schadstoffen (POPs), im Auftrag des Umweltbundesamtes, FKZ 205 67 444, UBA Texte | 01/2008, January 2008 - URL: http://www.umweltbundesamt.de/en/publikationen/nationaler-durchfuehrungsplan-unter-stockholmer
1)
During test-bench measurements, temperatures are likely to be significantly higher than under real-world conditions, thus reducing condensation. On the contrary, smaller dillution (higher number of primary particles acting as condensation germs) together with higher pressures increase the likeliness of condensation. So over-all condensables are very likely to occur but different to real-world conditions.