1.A.3.d i (i) - International maritime navigation

Short description

Under NFR category 1.A.3.d i (i), emissions from international maritime navigation fuelling in and starting form German harbours are reported.

Category Code Method AD EF
1.A.3.d i (i) T1, T2, T3 NS, M CS, M
Key Category SO2 NOx NH3 NMVOC CO BC Pb Hg Cd Diox PAH HCB TSP PM10 PM2.5
1.A.3.d i (i) not included in key category analysis

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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

Primary fuel delivery data (primary activity data, PAD) for international maritime navigation is included in line 6 - 'International Deep-Sea Bunkers' of the National Energy Balances (NEB) (AGEB, 2021) 1) together with respective data for IMO-registered ships used in national maritime transport (see 1.A.3.d ii (a)), fishing (see NFR 1.A.4.c iii) and military navigation (see NFR 1.A.5.b iii).

The AD applied for international maritime navigation therefore represents the remains of primary fuel delivery data from NEB line 6 minus the modelled consumption data estimated for non-IMO ships in 1.A.3.d ii (a), 1.A.4.c iii and 1.A.5.b iii:

AD1.A.3.d i = PADNEB line 6 - AD1.A.3.d ii (a) - IMO - AD1.A.4.c iii - IMO - AD1.A.5.b iii - IMO

with
* AD1.A.3.d i - tier1 activity data for International maritime navigation
* PADNEB line 6 - primary over-all fuel deliveries data from NEB line 6 - 'International Maritime Bunkers'
* AD1.A.3.d ii (a) - IMO - tier3 activity data for IMO-registered ships involved in national maritime navigation
* AD1.A.4.c iii - IMO - tier3 activity data for IMO-registered ships involved in national fishing
* AD1.A.5.b iii - IMO - tier3 activity data for IMO-registered ships involved in military navigation

As a result, activity data can fluctuate strongly from year to year.

However, this effect can be explained with the fact that large ocean-going ships do not need to bunker fuels on every single harbour but can go on for weeks without any additional fuel uptake.

This can be further increased with increasing differences in fuel prices.

Table 1: Annual fuel consumption, in terajoules

1990 1995 2000 2005 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Diesel & Light Heating Oil 13,162 13,096 13,709 11,820 16,417 15,020 12,181 11,875 13,801 33,958 32,832 27,463 21,473 20,231 13,896 20,231
Heavy fuel oil 76,942 62,066 67,080 83,224 91,169 90,779 85,586 75,559 71,598 57,792 74,807 58,707 39,308 26,565 32,253 26,565
Ʃ 1.A.3.d i 90,104 75,162 80,789 95,044 107,586 105,799 97,768 87,434 85,398 91,750 107,639 86,169 60,781 46,796 46,150 46,796

source: own estimates based on underlying BSH model (Deichnik, K. (2022)) 2)

Consumption of heavy oil has been increasing since 1984 as a result of high petroleum prices, global increases in transports and increasing maritime use of diesel engines that can run on heavy oil. The emissions fluctuations that occurred in the navigation sector in 1992 and 1996 were caused by trade and oil crises.

Furthermore, after 2014, with ever stricter legislation espacially regarding fuel sulphur content, an ongoing shift from heavy fuel oil to maritime diesel oil can be observed.

Emission factors

For main pollutants and particulate matter, modelled emission factors are available from (Deichnik, K. (2022)).

Here, for sulphur dioxide and particulate matter, annual values are available representing the impact of fuel sulphur legislation. In addition, regarding SO2, the increasing operation of so-called scrubbers in order to fullfil emission limits especially within SECA areas is reflected for heavy fuel oil.

Table 2: Annual country-specific emission factors, in kg/TJ

1990 1995 2000 2005 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
DIESEL OIL
NH3 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32
NMVOC 48.5 48.4 48.4 48.4 48.4 48.4 48.4 47.7 44.9 44.4 43.9 44.2 43.8 44.0 44.0 44,0
NOx 1,101 1,101 1,101 1,101 1,101 1,101 1,119 1,126 1,155 1,184 1,183 1,189 1,200 1,199 1,169 1,199
SOx 466 419 233 186 69.8 65.2 54.8 52.9 51.1 37.2
BC1 110 99.1 55.0 44.0 16.5 15.5 15.4 15.3 15.3 17.4 17.7 17.7 17.3 17.5 16.8 17.5
PM2.5 354 320 177 142 53.3 49.9 49.8 49.3 49.4 56.2 57.1 57.1 55.9 56.5 54.2 56.5
PM10 378 342 190 152 57.1 53.4 53.3 52.7 52.9 60.1 61.1 61.1 59.8 60.4 58.0 60.4
TSP2 378 342 190 152 57.1 53.4 53.3 52.7 52.9 60.1 61.1 61.1 59.8 60.4 58.0 60.4
CO 128 128 128 128 128 129 128 128 130 140 142 141 139 140 138 140
HEAVY FUEL OIL
NH3 0.33 0.33 0.33 0.33 0.33 0.33 0.33 0.33 0.34 0.34 0.34 0.34 0.34 0.34 0.34 0.34
NMVOC 43.0 42.8 42.9 42.9 42.8 42.7 42.8 41.6 42.3 26.1 30.2 33.7 32.5 32.7 37.4 32,7
NOx 1,368 1,368 1,368 1,368 1,368 1,367 1,367 1,384 1,433 1,487 1,440 1,479 1,480 1,507 1,509 1,507
SOx 1,319 1,332 1,323 1,336 496 496 496 495 506 48.6 49.2 48.1 45.9 46.5 48.1 46.5
BC1 70.8 71.2 70.8 71.6 26.5 26.5 26.5 25.6 25.6 14.2 18.0 20.1 19.1 18.9 21.4 18,9
PM2.5 590 594 590 596 221 221 221 213 213 118 150 168 159 158 179 158
PM10 649 653 649 656 243 243 243 234 235 130 165 184 175 173 197 173
TSP2 649 653 649 656 243 243 243 234 235 130 165 184 175 173 197 173
CO 179 179 179 179 179 179 179 175 173 144 162 157 156 150 151 150

1 estimated from f-BCs as provided in 3): f-BC (HFO) = 0.12, f-BC (MDO/MGO) = 0.31 as provided in 4), chapter: 1.A.3.d.i, 1.A.3.d.ii, 1.A.4.c.iii Navigation, Tables 3-1 & 3-2
2 ratios PM2.5 : PM10 : TSP derived from the tier1 default EF as provided in 5), chapter: 1.A.3.d.i, 1.A.3.d.ii, 1.A.4.c.iii Navigation, Tables 3-1 & 3-2

For the country-specific emission factors applied for particulate matter, no clear indication is available, whether or not condensables are included.

For information on the emission factors for heavy-metal and POP exhaust emissions, please refer to Appendix 2.3 - Heavy Metal (HM) exhaust emissions from mobile sources and Appendix 2.4 - Persistent Organic Pollutant (POP) exhaust emissions from mobile sources.

NFR 1.A.3.d i is not considered in the key category analysis.

Basically, with no significant technical improvements with respect to mitigation technologies, trends in emissions depend more or less directly the amounts of fuels bunkered in German harbours and the contributions of diesel oil/light heating oil and heavy fuel oil to the over-all fuel input.

Here, as the amounts of fuels allocated to international maritime navigation represent the remains of annual over-all inland fuel deliveries minus fuel consumption in domestic shipping, activity data and, hence, emissions, fluctuate strongly from year to year (see also information on activity data as stated above).

Therefore, especially emission trends for unregulated pollutants (such as NH3, NOx, NMVOC and CO, all HM and POPs) with only slight changes in the annual over-all IEFs applied, follow the trends in fuel consumption and the shares of diesel and heavy fuel oil:

In contrast, emission trends for SOx and PM, both depending on the fuel's sulphur content, follow not only the trends in fuel consumption but do also reflect fuel-sulphur legislation:

 Annual sulphur oxides emissions  Annual particulate matter emissions

Recalculations

With both activity data and emission factors unaltered, no recalculations occur compared to submission 2022.

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) 6).

Planned improvements

Besides routine maintenance and further development of the BSH model, no improvements are planned.

FAQs


2) Deichnik, K. (2022): Aktualisierung und Revision des Modells zur Berechnung der spezifischen Verbräuche und Emissionen des von Deutschland ausgehenden Seeverkehrs. from Bundesamts für Seeschifffahrt und Hydrographie (BSH); Hamburg, 2022.
3), 4), 5) EMEP/EEA (2019): EMEP/EEA air pollutant emission inventory guidebook 2019, URL: https://www.eea.europa.eu/publications/emep-eea-guidebook-2019; Copenhagen, 2019.
6) 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; URL: https://www.umweltbundesamt.de/sites/default/files/medien/461/publikationen/3937.pdf, FKZ 360 16 023, Heidelberg & Zürich, 2009.