1.A.5.b - Other, Mobile (including Military)

Short description

In sub-category 1.A.5.b - Other, Mobile (including Military) emissions from landbased, air- and waterborne military vehicles are reported.

NFR-Code Name of Category Method AD EF
1.A.5.b Other, Mobile (including Military) see sub-category details
consisting of:
1.A.5.b i Land-based military transport and machinery T1, T2 NS CS, D
1.A.5.b ii Military Aviation T1, T2 NS CS, D
1.A.5.b iii Military Navigation T1, T2, T3 NS, M CS, D, M

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Method(s) applied
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 category chapters.
(source for) Activity Data
NS National Statistics
RS Regional Statistics
IS International Statistics
PS Plant Specific
As Associations, business organisations
Q specific Questionnaires (or surveys)
M Model / Modelled
C Confidential
(source for) Emission Factors
D Default (EMEP Guidebook)
CS Country Specific
PS Plant Specific
M Model / Modelled
C Confidential

NOx NMVOC SO2 NH3 PM2.5 PM10 TSP BC CO Pb Cd Hg As Cr Cu Ni Se Zn PCDD/F B(a)P B(b)F B(k)F I(x)P PAH1-4 HCB PCBs
-/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/-

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Click to hide Legend

Method(s) applied
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 category chapters.
(source for) Activity Data
NS National Statistics
RS Regional Statistics
IS International Statistics
PS Plant Specific
As Associations, business organisations
Q specific Questionnaires (or surveys)
M Model / Modelled
C Confidential
(source for) Emission Factors
D Default (EMEP Guidebook)
CS Country Specific
PS Plant Specific
M Model / Modelled
C Confidential

For further information on sub-sector specific consumption data, emission factors and emissions as well as further information on emission trends, recalculations and planned improvements, please follow the links above.

Methodology

Activity data

Basically, all fuel deliveries to the military are included in the primary fuel delivery data provided by the National Energy Balances (NEB) 1). As the NEB does not provide specific data for military use, the following additional sources are used:

Military land-based vehicles and aviation:

For the years as of 1995, the official mineral-oil data of the Federal Republic of Germany (Amtliche Mineralöldaten der Bundesrepublik Deutschland), prepared by the Federal Office of Economics and Export Control (BAFA), are used 2). Provided in units of [1,000 t], these amounts have to be converted into [TJ] on the basis of the relevant net calorific values given by 3).

As the official mineral-oil data does not distinguish into fossil and biofuels but does provide amounts for inland deliveries of total diesel and gasoline fuels, no data on the consumption of biodiesel and bioethanol is available directly at the moment. Therefore, activity data for biofuels used in military vehicles are calculated by applying Germany's official annual biofuel shares to the named total deliveries (see also: info on EF).

As there is no consistent NEB data availabe for aviation gasoline, delivery data from BAFA is applied for the entire time series.

Military navigation:

Primarilly, fuel deliveries to military navigation is included in the NEB data provided in NEB lines 6: 'International Deep-Sea Bunkers' and 64: 'Coastal and inland navigation' but cannot be derived directly. Therefore, starting with this submission, fuel use in military navigation is estimated within a specific model used for estimating emissions from German maritime activities 4).

Table 1: Sources for consumption data in 1.A.5.b

Mode of Military Transport Specific AD included in: Sources for specific data Relevant years
Military ground vehicles and mobile machinery, military aviation NEB line 67 - 'Commerce, Trade, Services and other Consumers' Special evaluation 1990-1994 carried out by AGEB 1990 - 1994
Official oil data, table 7j, column: 'An das Militär', 5) as of 1995
Military Navigation NEB lines 6 - 'International Deep-Sea Bunkers' and 64 - 'Coastal and Inland Navigation' AD estimated within 6) as of 1990


Table 2: Annual over-all fuel consumption in military vehicles and mobile equipment, in terajoules

1990 1995 2000 2005 2010 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
DIESEL OIL 15,417 8,264 1,592 3,375 1,121 732 713 571 380 281 134 138 357 289 869
GASOLINE 21,508 9,800 7,477 6,860 4,792 3,388 3,051 2,538 2,371 2,272 1,824 1,981 2,107 2,040 2,032
BIODIESEL NO NO NO 213 75.1 31.7 30.6 22.6 16.2 15.9 11.1 9.6 24.7 21.5 53.2
BIOGASOLINE NO NO NO 46.6 185 143 128 104 103 95.1 80.8 91.4 97.4 96.9 95.1
JET KEROSENE 38,385 16,143 9,862 2,200 3,286 3,726 3,845 1,507 1,025 3,746 2,904 4,810 3,551 3,875 40.0
AVGAS 15.2 6.35 1.09 0.26 0.17 0.00 0.13 0.00 0.17 0.04 0.00 0.09 0.30 0.00 0.00
HEAVY FUEL OIL 152 104 90.4 67.4 59.0 NO NO NO NO NO NO NO NO NO NO
LIGHT FUEL OIL* NO NO NO NO NO NO NO NO 33.2 164 390 118 131 135 97.6
Ʃ 1.A.5.b 75,477 34,317 19,022 12,762 9,518 8,021 7,768 4,742 3,929 6,574 5,345 7,148 6,268 6,457 3,187
data sources: (BAFA, 2025) 7): Table 7j: “an das Militär” (“to the military”), (AGEB, 2025) 8): NEB line 6, and own estimates for blended biofuels, BSH model 9)
* as of 2018: replacing diesel oil used in navigation (source: National Energy Balances)

Table 3: Further break-down of annual military fuel consumption, in terajoules

1990 1995 2000 2005 2010 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
used in military ground vehicles and machinery
Diesel Oil 15,037 8,001 1,364 3,203 971 578 572 415 281 281 134 138 357 289 869
Biodiesel NO NO NO 213 75.1 31.7 30.6 22.6 16.2 15.9 11.1 9.6 24.7 21.5 53.2
Gasoline 21,508 9,800 7,477 6,860 4,792 3,388 3,051 2,538 2,371 2,272 1,824 1,981 2,107 2,040 2,032
Biogasoline NO NO NO 46.6 185 143 128 104 103 95.1 80.8 91.4 97.4 96.9 95.1
used in military aircraft
Jet Kerosene 38,385 16,143 9,862 2,200 3,286 3,726 3,845 1,507 1,025 3,746 2,904 4,810 3,551 3,875 40.0
Aviation Gasoline 15.2 6.35 1.09 0.26 0.17 0.00 0.13 0.00 0.17 0.04 0.00 0.09 0.30 0.00 0.00
used in military navigation
Diesel Oil 380 263 228 171 150 154 141 156 99.5 NO NO NO NO NO NO
Light Fuel Oil* NO NO NO NO NO NO NO NO 33.2 164 390 118 131 135 97.6
Heavy Fuel Oil 152 104 90.4 67.4 59.0 NO NO NO NO NO NO NO NO NO NO
Ʃ 1.A.5.b
all types of fuels applied 75,477 34,317 19,022 12,762 9,518 8,021 7,768 4,742 3,929 6,574 5,345 7,148 6,268 6,457 3,187
data sources: (BAFA, 2025) 10): “an das Militär” (“to the military”); (AGEB, 2025) 11): line 6; BSH model 12), and own estimates for blended biofuels
* as of 2018: replacing diesel oil used in navigation (source: National Energy Balances)


Here, the activity data provided represents original annual fuel deliveries data derived from the Official Mineral Oil Data as compiled and published by BAFA 13). Where the ups and downs visible for aviation gasoline appear to be influenced by stock-keeping activities, no clear explaination can be provided for jet kerosene, where a sharp decrease in inland deliveries is visible for 2024 that cannot be clarified at the moment.

 Annual avgas deliveries to the military  Annual jet kerosene deliveries to the military


Emission factors

For further information on sub-sector specific emission factors, please refer to the sub-chapters on ground-based , airborne and naval military activities.

Table: Outcome of Key Category Analysis

for: NOx
by: Trend


Here, due to the tier1 emission factors applied, annual emissions strongly correspond with activity data, therefore showing strong decline after 1990 and an ongoing downward trend.

Regarding the peak in NOx emissions 2005: The dominating source of NOx (and PM) emissions is the use of diesel oil in militar ground vehicles and machinery as well as military vessels. Here, the underlying activity data (annual diesel oil inland deliveries) for 2005 are well above the values of previous and following years but cannot be revised in a sensible way.

 Annual nitrogen oxides emissions

Furthermore, this NFR category shows interesting trends for emissions of Lead (Pb) from leaded gasoline (until 1997) and aviation gasoline:

Until 1997, lead emissions were dominated by the combustion of leaded gasoline in military ground-based vehicles. Therefore, the over-all trend for lead emissions from military vehicles and aircraft is driven mostly by the abolition of leaded gasoline in 1997. Towards this date, the amount of leaded gasoline decreased significantly. After 1997, the only source for lead from mobile fuel combustion is avgas used in military aircraft. As for avgas, the trend of consumption is more or less drecreasing steadily until 2005 but then shows a strong increase for 2006 and '07 (!), followed by no or very small deliveries. As mentioned above, there are no real consumption data available: AD is based on fuel deliveries to the military only. Thus, especially the trends for the use of aviation gasoline and the resulting emissions show this siginificant jumps in 2006 and 07. The party is aware of this issue and will try to solve it as soon as data allows. (see also: FAQ)

 Annual lead emissions

The trend for TSP emissions reflects the impact of leaded gasoline at least for 1990 to 1997. For all other years, particulate matter emissions simply follow the trend in over-all fuel consumption. Here, as already explained for NOx, the increased 2005 emissions result form a corresponding jump in inland diesel-oil deliveries (see information on annual activity data above).

 Annual TSP emissions  Annual TSP emissions

Regarding sulphur dioxide, emssions not only reflect the trend of fuel consumption but also the impact of fuel-sulphur legislation.

 Annual sulphur oxides emissions

For all other reported pollutants, due to the application of tier1 emission factors, emission trends reported for this sub-category only reflect the trend in fuel deliveries.

Recalculations

Recalculations against last year's submission occur mainly due to the revision of the underlying National Energy Balances (NEB) 2003 to 2023.

Due to the enormous amount of input data (AIS ship movement data), no such re-calcluations are carried out within the BSH model yet, leaving the amounts of diesel oil/light fuel oil and heavy fuel oil cosumed in military vessels unaltered compared to the previous submission. Here, recalculations occur only due to revised emission factors (see sub-chapter on 1.A.5.b iii lnked above).

Table: Revised activity data 2003-2023, in terajoules [TJ]

2003 2004 2005 2010 2015 2016 2017 2018 2019 2020 2021 2022 2023
DIESEL OIL
current submission 1,257 1,120 3,375 1,121 732 713 571 380 281 134 138 357 289
previous submission 1,257 1,118 3,368 1,126 733 718 571 379 281 134 137 359 292
absolute change -0.17 2.06 7.21 -5.03 -1.12 -4.83 0.05 1.10 -0.02 0.80 0.16 -2.30 -3.08
relative change -0.01% 0.18% 0.21% -0.45% -0.15% -0.67% 0.01% 0.29% -0.01% 0.60% 0.11% -0.64% -1.05%
BIODIESEL
current submission NO 33.2 213 75.1 31.7 30.6 22.6 16.2 15.9 11.1 9.55 24.7 21.5
previous submission NO 35.2 223 76.3 32.2 31.3 22.1 15.8 15.9 10.9 9.64 24.9 21.6
absolute change -2.02 -9.36 -1.18 -0.47 -0.68 0.47 0.43 0.02 0.20 -0.09 -0.2 -0.15
relative change -5.72% -4.20% -1.55% -1.46% -2.17% 2.12% 2.73% 0.15% 1.81% -0.89% -0.90% -0.68%
GASOLINE
current submission 6,799 5,780 6,860 4,792 3,388 3,051 2,538 2,371 2,272 1,824 1,981 2,107 2,040
previous submission 6,797 5,780 6,838 4,790 3,300 2,969 2,464 2,305 2,273 1,771 1,923 2,082 2,076
absolute change 2.34 0.04 22.11 1.30 88.4 81.2 74.5 65.9 -1.39 52.78 58.3 25.7 -35.7
relative change 0.03% 0.00% 0.32% 0.03% 2.68% 2.73% 3.02% 2.86% -0.06% 2.98% 3.03% 1.23% -1.72%
BIOGASOLINE
current submission NO 6.15 46.6 185 143 128 104 103 95.1 80.8 91.4 97.4 96.9
previous submission NO 6.37 47.4 186 133 121 104 100 93.7 79.4 90.6 96.5 98.0
absolute change -0.22 -0.80 -0.93 9.37 7.28 -0.23 3.65 1.39 1.34 0.81 0.92 -1.16
relative change -3.44% -1.68% -0.50% 7.04% 6.00% -0.22% 3.66% 1.49% 1.69% 0.89% 0.96% -1.18%
JET KEROSENE
current submission 7,029 5,280 2,200 3,286 3,726 3,845 1,507 1,025 3,746 2,904 4,810 3,551 3,875
previous submission 7,029 5,280 2,200 3,286 3,726 3,845 1,507 1,025 3,746 2,904 4,810 3,551 3,369
absolute change 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 506
relative change 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 15.0%
AVIATION GASOLINE
current submission 0.57 0.35 0.26 0.17 0 0.13 0 0.17 0.04 0 0.09 0.30 0
previous submission 0.57 0.35 0.26 0.17 0.00 0.13 0.00 0.17 0.04 0.00 0.09 0.30 0.00
absolute change 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
relative change 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00%
Ʃ 1.A.5.b
current submission 15,158 12,291 12,762 9,518 8,021 7,768 4,742 3,929 6,574 5,345 7,148 6,268 6,457
previous submission 15,156 12,291 12,743 9,524 7,925 7,685 4,667 3,858 6,574 5,289 7,089 6,244 5,991
absolute change 2.17 -0.13 19.2 -5.84 96.1 82.9 74.8 71.1 0.00 55.1 59.2 24.1 466
relative change 0.01% 0.00% 0.15% -0.06% 1.21% 1.08% 1.60% 1.84% 0.00% 1.04% 0.83% 0.39% 7.77%

For pollutant-specific information on recalculated emission estimates for Base Year and 2023, please see the recalculation tables following chapter 9.1 - Recalculations.

Uncertainties

Uncertainty estimates for activity data of mobile sources derive from research project FKZ 360 16 023: “Ermittlung der Unsicherheiten der mit den Modellen TREMOD und TREMOD-MM berechneten Luftschadstoffemissionen des landgebundenen Verkehrs in Deutschland” by Knörr et al. (2009) 14).

Uncertainty estimates for emission factors were compiled during the PAREST research project. Here, the final report has not yet been published.

Planned improvements

With respect to NFR 1.A.5.b as such, no overarching improvements are planned. For further information on possible sub-sector specific improvements, please follow the links above.


1), 3), 8), 11) AGEB (2025): Working Group on Energy Balances (Arbeitsgemeinschaft Energiebilanzen (Hrsg.), AGEB): Energiebilanz für die Bundesrepublik Deutschland; https://ag-energiebilanzen.de/wp-content/uploads/EBD24p2-1.xlsx, (Aufruf: 04.12.2025), Köln & Berlin, September 2025
2), 7), 10), 13) BAFA (2025): Federal Office of Economics and Export Control (Bundesamt für Wirtschaft und Ausfuhrkontrolle, BAFA): Amtliche Mineralöldaten für die Bundesrepublik Deutschland; https://www.bafa.de/SharedDocs/Downloads/DE/Energie/Mineraloel/moel_amtliche_daten_2024_12.html, Eschborn, 2025.
9), 12) Deichnik (2025): Aktualisierung und Revision des Modells zur Berechnung der spezifischen Verbräuche und Emissionen des von Deutschland ausgehenden Seeverkehrs; Federal Maritime and Hydrographic Agency (BSH - Bundesamt für Seeschifffahrt und Hydrographie Hamburg); on behalf of the Umweltbundesamt, Hamburg / Dessau-Roßlau, 2025.
14) Knörr et al.(2009): Knörr, W., Heldstab, J., & Kasser, F.: Ermittlung der Unsicherheiten der mit den Modellen TREMOD und TREMOD-MM berechneten Luftschadstoffemissionen des landgebundenen Verkehrs in Deutschland; final report; https://www.umweltbundesamt.de/sites/default/files/medien/461/publikationen/3937.pdf, FKZ 360 16 023, Heidelberg & Zürich, on behalf of the Umweltbundesamt, Dessau-Roßlau, 2009.