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

Short description

In NFR sub-category 1.A.4.c iii fuel consumption and 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 2019
Diesel oil 711 549 531 488 473 442 431 429 472 555 1.117 1.208 2.529 512
Heavy fuel oil 23,7 18,1 17,7 16,1 15,6 14,6 14,2 14,1 13,4 NO NO NO NO NO
Ʃ 1.A.4.c iii 735 567 549 504 489 456 445 443 485 555 1.117 1.208 2.529 512

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 over-all emissions.

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 2019
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
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
NOx 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
SOx 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
BC 2 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
NH3 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
NOx 1,187 1,187 1,187 1,187 1,187 1,187 1,188 1,283 1,287 NA NA NA NA
SOx 1.319 1.332 1.323 1.336 496 496 496 496 506 NA NA NA NA
PM2.51 469 474 471 475 176 176 176 149 149 NA NA NA NA
PM10 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
BC2 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 ratios PM2.5 : PM10 : TSP derived from the tier1 default EF as provided in 4) 2 estimated from f-BCs as provided in 5): f-BC (HFO) = 0.12, f-BC (MDO/MGO) = 0.31 as provided in 6), chapter: 1.A.3.d.i, 1.A.3.d.ii, 1.A.4.c.iii Navigation, Table 3-2 and Table A1 - BC fractions of PM emissions from relevant studies

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


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