1.A.3.d ii - National Navigation (Shipping)

Last updated on 29 Aug 2019 09:29 (cf. Authors)

Short description

Under category 1.A.3.d ii - National Navigation emissions from national navigation (both inland and maritime) are reported.

NFR-Code	Name of Category	Method	AD	EF	Key Category 1
1.A.3.d ii	National Navigation (Shipping)	T1, T2, T3	NS, M	CS, D, M	L & T: PM10 & PM2.5 | L: NOx | T: BC
including emission from
1.A.3.d ii (a)	National Maritime Navigation	T1, T2, T3	NS, M	CS, D, M	not included separately in key-category analysis
1.A.3.d ii (b)	National Inland Navigation	T1, T2	NS, M	CS, D, M	not included separately in key-category analysis

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¹ T = key source by Trend / L = key source by Level

Methods
D	Default
RA	Reference Approach
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/CORINAIR Emission Inventory Guidebook - 2007, 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, surveys

EF - Emission Factors
D	Default (EMEP Guidebook)
C	Confidential
CS	Country Specific
PS	Plant Specific data

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Method

Activity data

As described for the over-all sector 1.A.3.d and all other navigational activities here, specific fuel consumption data for NFR 1.A.3.d ii is included in the primary fuel deliveries data provided in NEB lines 6 ('International Maritime Bunkers') and 64 ('Coastal and Inland Navigation') [1].

Here, the annual fuel consumption for domestic maritime navigation are modelled within [5] based on AIS data and deduced from NEB lines 6 and 64 respectively, depending on whether or not a certain ship is registered by the International Maritime Organization (IMO). Here, fuels consumed by large, IMO-registered and sea-going ships and vessels are included in NEB line 6 whereas fuels consumed by smaller ships without IMO-registration are included in NEB line 64. After these deductions, the amounts of fuels remaining in NEB 64 are allocated to domestic inland navigation.

Table 1: Annual over-all fuel consumption for domestic navigation, in terajoule

	1990	1995	2000	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017
Diesel Oil	36,604	29,855	18,648	18,596	16,895	17,232	16,517	16,615	16,183	16,954	16,601	16,824	18,532	22,781	24,167	23,245
Biodiesel	0	0	0	268	310	474	476	729	691	757	708	647	705	697	524	539
Heavy Fuel Oil	11,723	8,041	8,577	7,172	7,004	7,425	7,797	6,733	6,114	5,961	6,410	6,376	6,046	50	7	7
Ʃ 1.A.3.d ii	48,326	37,896	27,224	26,036	24,209	25,131	24,790	24,077	22,988	23,673	23,719	23,846	25,282	23,528	24,698	23,790

Emission factors

For information on the specific EF applied to 1.A.3.d ii (a) - Domestic Maritime Navigation and 1.A.3.d ii (b) - Domestic Inland Navigation, please refer to the sub-chapters linked above.

Discussion of emission trends

NFR 1.A.3.d ii is key category for emissions of NO_x, PM_2.5 and PM₁₀.

For ammonia, NMVOC, and nitrogen oxides as well as carbon monoxide, emission trends more or less represent the trend in over-all fuel consumption. Nonetheless, for these pollutants, annual emission factors from TREMOD have been applied to national inland navigation, reflecting the technical development of the German inland navigation fleet.
In contrast, for the newly implemented reporting for emissions from national maritime navigation, constant tier1 values are applied at the moment, not taking into account any technical developments.

Regarding sulphur dioxide and particulate matter, emission trends also reflect the ongoing fuel-sulphur legislation.

Recalculations

Activity Data: Major changes result from the revision of the National Energy Balance 2016 and a revised share of biodiesel mixed to diesel oil in 2016.
In addition, changes for all three years result from the revision of the BSH model (Deichnik, 2018) [5] used for estimating the fuel consumption for domestic maritime navigation.

Table: Revised fuel consumption data 2014-2016, in terajoule

	2014	2015	2016
	Diesel oil
Submission 2019	18,532	22,781	24,167
Submission 2018	18,531	22,277	26,102
absolute change	0.24	504	-1.935
relative change	0.00%	2.26%	-7.41%
	Biodiesel
Submission 2019	705	697	524
Submission 2018	705	697	629
absolute change	0	0	-105
relative change	0.00%	0.00%	-16.7%
	Total fuel consumption in national navigation
Submission 2019	25,282	23,528	24,698
Submission 2018	25,282	23,024	26,738
absolute change	0.24	504	-2.040
relative change	0.001%	2.190%	-7.63%

For changes in the (implied) emission factors applied for domestic maritime navigation and inland navigation please refer to the sub-chapters linked above.

For specific information on recalculated emission estimates for Base Year and 2016, please see the pollutant specific recalculation tables following chapter 8.1 - 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) [7].

Planned improvements

With the next annual submission routine revisions of the models used for maritime and inland navigation are scheduled.

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Bibliography

1. AGEB, 2018: Working Group on Energy Balances (Arbeitsgemeinschaft Energiebilanzen (Hrsg.), AGEB): Energiebilanz für die Bundesrepublik Deutschland; URL: http://www.ag-energiebilanzen.de/7-0-Bilanzen-1990-2016.html, Köln & Berlin, 2018.

2. BAFA (2018): 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_2017_dezember.html, (Aufruf: 29.11.2018), Eschborn, 2018.

3. MWV, 2018: German Petroleum Industry Association (Mineralölwirtschaftsverband, MWV): MWV Jahresberichte: URL: https://www.mwv.de/publikationen/jahresberichte/, Berlin, 2018.

4. Knörr et al. (2018a): 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 5.81, im Auftrag des Umweltbundesamtes, Heidelberg & Berlin, 2018.

5. Deichnik (2018): Deichnik, K.: 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, 2018.

6. EMEP/EEA (2016): EMEP/EEA air pollutant emission inventory guidebook 2016, URL: https://www.eea.europa.eu/publications/emep-eea-guidebook-2016; Copenhagen, July 2017.

7. 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.