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1.A.4.c iii - Agriculture/Forestry/Fishing: National Fishing

Short description

In category 1.A.4.c iii the emissions of Germany's maritime fishing fleet are reported.

Method AD EF Key Category Analysis
T1, T2 NS, M D, M, CS, T1, T2 no key category

Methodology

Activity Data

Primary fuel delivery data for national fishing is included in NEB lines 6 ('International Deep-Sea Bunkers') and 64 ('Coastal and Inland Navigation') for IMO-registered and unregistered ships respectively.

The actual annual amounts used are therefore calculated within (Deichnik (2019)), where ship movement data (AIS signal) allows for a bottom-up approach providing the needed differentiation.1)

Table 1: Annual fuel consumption, in terajoules

= 1990 = 1995 = 2000 = 2005 = 2010 = 2011 = 2012 = 2013 = 2014 = 2015 = 2016 = 2017 = 2018
~ Diesel Oil > 711 > 549 > 531 > 488 > 473 > 442 > 431 > 429 > 472 > 555 > 1.117 > 1.208 > 2.455
~ Biodiesel > 0 > 0 > 0 > 4 > 12 > 11 > 11 > 10 > 10 > 10 > 8 > 8 > 8
~ Heavy Fuel Oil > 24 > 18 > 18 > 16 > 16 > 15 > 14 > 14 > 13 > 0 > 0 > 0 > 0
Ʃ 1.A.4.c iii ~ 735 ~ 567 ~ 549 ~ 508 ~ 500 ~ 467 ~ 456 ~ 452 ~ 496 ~ 565 ~ 1,126 ~ 1,216 ~ 2,463
The strong increase after 2015 cannot be conclusively explained at the moment.
However, even if the over-all fuel quantities delivered to the navigation sector would be somehow misallocated between the specific nautical acitivities, there would be no over- or under-estimation of emissions.

gallery size="medium" : 1A4ciii_AD.png : 1A4ciii_AD_bio.png : 1A4ciii_AD_HFO.png gallery

++ Emission factors

The emission factors applied here, are derived from different sources and therefore are of very different quality.

For the main pollutants, country-specific implied values are used, that are based on tier3 EF included in the BSH model 2) which mainly relate on values from the EMEP/EEA guidebook 2016 3). These modelled IEFs take into account the ship specific information derived from AIS data as well as the mix of fuel-qualities applied depending on the type of ship and the current state of activity.

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

= 1990 = 1995 = 2000 = 2005 = 2010 = 2011 = 2012 = 2013 = 2014 = 2015 = 2016 = 2017 = 2018
< Diesel fuels1
~ NH,,3,, > 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 > 50.0 > 50.0 > 50.0 > 50.0 > 50.0 > 50.0 > 50.0 > 49.8 > 50.4 > 49.6 > 50.7 > 51.5 > 52.9
~ NO,,x,, > 1,099 > 1,099 > 1,099 > 1,099 > 1,099 > 1,099 > 1,099 > 1,090 > 1,090 > 1,092 > 1,092 > 1,091 > 1,093
~ SO,,x,, > 466 > 419 > 233 > 186 > 70 > 65 > 56 > 53 > 50 > 42 > 42 > 42 > 43
~ PM > 291 > 262 > 145 > 116 > 44 > 41 > 41 > 43 > 41 > 43 > 40 > 39 > 36
~ BC3 > 84.2 > 75.8 > 42.1 > 33.7 > 12.6 > 11.8 > 11.8 > 12.3 > 12.0 > 12.4 > 11.7 > 11.2 > 10.4
~ CO > 102 > 102 > 102 > 102 > 102 > 102 > 102 > 106 > 103 > 107 > 101 > 96 > 90
< Heavy fuel oil
~ NH,,3,, > 0.33 > 0.33 > 0.33 > 0.33 > 0.33 > 0.33 > 0.33 > 0.34 > 0.35 = NA = NA = NA = NA
~ NMVOC > 33.2 > 33.2 > 33.2 > 33.2 > 33.2 > 33.2 > 33.2 > 30.6 > 30.2 = NA = NA = NA = NA
~ NO,,x,, > 1,187 > 1,187 > 1,187 > 1,187 > 1,187 > 1,187 > 1,188 > 1,283 > 1,287 = NA = NA = NA = NA
~ SO,,x,, > 1.319 > 1.332 > 1.323 > 1.336 > 496 > 496 > 496 > 496 > 506 = NA = NA = NA = NA
~ PM,,2.5,,2 > 469 > 474 > 471 > 475 > 176 > 176 > 176 > 149 > 149 = NA = NA = NA = NA
~ PM,,10,, > 516 > 521 > 518 > 523 > 194 > 194 > 194 > 164 > 164 = NA = NA = NA = NA
~ TSP > 516 > 521 > 518 > 523 > 194 > 194 > 194 > 164 > 164 = NA = NA = NA = NA
~ BC3´> 56.3 > 56.8 > 56.5 > 57.0 > 21.2 > 21.2 > 21.2 > 17.9 > 17.9 = NA = NA = NA = NA
~ CO > 182 > 182 > 182 > 182 > 182 > 182 > 182 > 158 > 165 = NA = NA = NA = NA
1
2
3
NOTE: For the country-specific emission factors applied for particulate matter, no clear indication is available, whether or not condensables are included.

Trend discussion for Key Sources

NFR 1.A.4.c iii - National Fishing is no key source.

Recalculations

Recalculations occur only to the revised activity data reported for 2016 and 2017. Here, due to a revision of the official blending rates, the amounts of biodiesel used in NFR 1.A.4.c iii have been revised for 2016 and 2017.

Table 3: Revised biodiesel consumption estimates 2016 and 2017, in terajoules

= = Biodiesel
= = 2016 = 2017
~ Submission 2020 > 8.49 > 7.82
~ Submission 2019 > 7.88 > 8.11
~ absolute change > 0.61 > -0.29
~ relative change > 7.77% > -3.57%

All emission factors remain unrevised, instead.

For pollutant-specific information on recalculated emission estimates for Base Year and 2018, please see the pollutant specific recalculation tables following chapter 8.1 - Recalculations.

Uncertainties

Uncertainty estimates for emission factors were adopted from NFR 1.A.3.d i as a comparable emission source.

Planned improvements

Besides a routine revision of the BSH model, further focus will be put on the correct allocation of actvity data to the different navigation activities covered in different NFR sub-sectors.

bibliography : 1 : 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); Hamburg, 2019. : 2 : EMEP/EEA, 2019: EMEP/EEA air pollutant emission inventory guidebook – 2019; Chapter 1.A.3.d.i, 1.A.3.d.ii, 1.A.4.c.iii Navigation; URL: https://www.eea.europa.eu/publications/emep-eea-guidebook-2019/part-b-sectoral-guidance-chapters/1-energy/1-a-combustion/1-a-3-d-navigation : 3 : 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: https://www.umweltbundesamt.de/en/publikationen/nationaler-durchfuehrungsplan-unter-stockholmer bibliography


1) (bibcite 1)
2) (bibcite 1)
3) (bibcite 2)