1.A.3.d - Navigation

Category 1.A.3.d - Navigation includes emissions from national and international inland and maritime navigation.

Primary fuel deliveries data for the entire navigation sector (maritime and inland waterways) is included in lines 6 ('International Maritime Bunkers') and 64 ('Coastal and Inland Navigation') of the National Energy Balance (NEB) (AGEB, 2019) ¹⁾. (For comparison, official mineral-oil data of the Federal Office of Economics and Export Control (BAFA, 2019) ²⁾ and sales data of the German Petroleum Industry Association (MWV, 2019) ³⁾ are used, too.)

Data on the consumption of biodiesel is provided in NEB line 64 from 2004 onward. However, as this data appears to be rather inconsistent, the consumption of biofuels is calculated within TREMOD via the official annual blending rates.

Table 1: Primary fuel deliveries as listed in the National Energy Balance, in terajoules

source: National Energy Balances

As the statistical allocation of fuels delivered to the navigation (shipping) sector follows tax aspects, NEB line 6 ('International Maritime Bunkers') includes all fuel deliveries to IMO-registered ship involved in both national and international maritime activities. On the other hand, NEB line 64 ('Coastal and Inland Navigation') includes all fuel deliveries to ship involved in inland and non-IMO maritime navigation.

Table 2: Allocation of for subsector-specfic fuel deliveries data in the NEB

Therefore, the amounts of fuels listed in NEB lines 6 and 64 have to be broken down on several sub-sectors. Regarding all national maritime activities, taking place in National Maritime Navigation ], 1.A.4.c iii - National fishing ], and 1.A.5.b iii - Military navigation ]), a newly implemented approach allows for estimating tier3 fuel consumption data based on ship movement information (AIS signal) for IMO- and non-IMO ships. In contrast to this bottom-up approach, fuel consumption in both international maritime navigation and national inland navigation are calculated as simple tier1 estimates. The following equations and charts try to illustrate the way of deducing these tier1 activity data:

Estimating the tier1 activity data for International maritime navigation:

math AD_\text{ 1.A.3.d i} = PAD_\text{ NEB line 6} - AD_\text{ 1.A.3.d ii (a) - IMO} - AD_\text{ 1.A.4.c iii - IMO} - AD_\text{ 1.A.5.b iii - IMO} math

with AD ,,1.A.3.d i,, - tier1 activity data for International maritime navigation PAD ,,NEB line 6,, - primary over-all fuel deliveries data from NEB line 6 - 'International Maritime Bunkers' AD ,,1.A.3.d ii (a), IMO,, - tier3 activity data for IMO-registered ships involved in national maritime navigation AD ,,1.A.4.c iii, IMO,, - tier3 activity data for IMO-registered ships involved in national fishing AD ,,1.A.5.b iii, IMO,, - tier3 activity data for IMO-registered ships involved in military navigation

Estimating the tier1 activity data for National inland navigation:

math AD_\text{ 1.A.3.d ii (b)} = PAD_\text{ NEB line 64} - AD_\text{ 1.A.3.d ii (a) - non-IMO} -AD_\text{ 1.A.4.c iii - non-IMO} - AD_\text{ 1.A.5.b iii - non-IMO} math

with AD ,,1.A.3.d ii (b),, - tier1 activity data for National inland navigation PAD ,,NEB line 64,, - primary over-all fuel deliveries data from NEB line 64 - 'Coastal and Inland Navigation' AD ,,1.A.3.d ii (a), non-IMO,, - tier3 activity data for non-IMO ships involved in national maritime navigation AD ,,1.A.4.c iii, non-IMO,, - tier3 activity data for non-IMO ships involved in national fishing AD ,,1.A.5.b iii, non-IMO,, - tier3 activity data for non-IMO ships involved in military navigation

Table 3: Resulting breakdown of primary fuel deliveries onto the different navigation sub-sectors, in terajoules

For information on specific fuel consumption data for the covered areas of navigation, please refer to the sub-chapters linked above.

Annual country-specific emission factors have been developed within the underlying models maintained at the ifeu Institute for Energy and Environmental Research (Knörr et al. (2019a): TREMOD) ⁴⁾ and the Federal Maritime and Hydrographic Agency (Deichnik (2019): BSH model) ⁵⁾.

For information on these country-specific emission factors, please refer to the sub-chapters linked above.

Furthermore, for heavy metal and POP emissions tier1 EF have been derived from the EMEP/EEA Guidebook 2019 mainly ⁶⁾.

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 ].

[!– Table 4 shows the tier1 emission factors for exhaust emissions of heavy-metals and POPs as applied to all navigation sub-categories in 1.A.3.d as well as NFRs 1.A.4.c iii and 1.A.5.b iii. The listed values have been derived from default values provided in the EMEP/EEA air pollutant emission inventory guidebook (EMEP/EEA, 2019) ⁷⁾ and (Rentz et al., 2008) ⁸⁾.

Here, as the guidebook does not provide source-specific values for PAHs, respective values provided for diesel in railways and heavy duty road vehicles have been applied as a gap-filling proxy.

Table 4: Tier1 emission factors for heavy-metal and POP exhaust emissions

–]

bibliography : 1 : AGEB, 2019: Working Group on Energy Balances (Arbeitsgemeinschaft Energiebilanzen (Hrsg.), AGEB): Energiebilanz für die Bundesrepublik Deutschland; URL: https://www.ag-energiebilanzen.de/7-0-Bilanzen-1990-2017.html, (Aufruf: 20.11.2019), Köln & Berlin, 2019. : 2 : BAFA, 2019: Federal Office of Economics and Export Control (Bundesamt für Wirtschaft und Ausfuhrkontrolle, BAFA): Amtliche Mineralöldaten für die Bundesrepublik Deutschland; URL: https://www.bafa.de/SharedDocs/Downloads/DE/Energie/Mineraloel/moel_amtliche_daten_2018_dezember.xlsx?__blob=publicationFile&v=4, Eschborn, 2019. : 3 : MWV (2019): Association of the German Petroleum Industry (Mineralölwirtschaftsverband, MWV): Annual Report 2018, page 65, Table 'Sektoraler Verbrauch von Dieselkraftstoff 2012-2018'; URL: https://www.mwv.de/wp-content/uploads/2019/11/MWV_Jahresbericht_2019_Web_191219.pdf, Berlin, 2018. : 4 : Knörr et al. (2019a): 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, 2019. : 5 : Deichnik (2019): Aktualisierung und Revision des Modells zur Berechnung der spezifischen Verbräuche und Emissionen des von Deutschland ausgehenden Seeverkehrs. from Bundesamts für Seeschifffahrt und Hydrographie (BSH - Federal Maritime and Hydrographic Agency); Hamburg, 2019. : 6 : EMEP/EEA (2019): EMEP/EEA air pollutant emission inventory guidebook 2019, Copenhagen, 2019. .bibliography