1.A.4.b.ii Mobile Sources in Household and Gardening

Last updated on 04 Dec 2014 08:38 (cf. Authors)

Short description

Under sub-category 1.A.4.b ii - Residential: Mobile Sources in Households and Gardening fuel combustion activities and resulting emissions from combustion engine driven devices such as motor saws and lawn mowers are being reported.

NFR-Code Source category Method AD EF Key Source for (by 1)
1.A.4.b ii Residential: Mobile Sources in Household and Gardening T1 NS CS -

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

Lawnmower.PNG

Method

Activity data

Activity data are taken from consumption data given in line 66: 'Households' of the National Energy Balances (NEB) for Germany (AGEB, 2013) [1].

Table 1: Sources for consumption data in 1.A.4.b ii

Relevant years Data Source
through 1994 AGEB - National Energy Balance, line 79: Households
since 1995 AGEB - National Energy Balance, line 66: Households

Within the National Energy Balances (NEBs), due to missing separate consumption data for mobile sources in households and gardening, activity data used for estimating emissions is of poor quality only. Especially for earlier years, AD is based on rare statistics on sold machinery, resulting in a cascaded AD time series.

As the NEB only provides primary activity data for total biomass used in 'households', but does not distinguish into specific biofuels, the consumption of bioethanol remained unconsidered up to now. In order to close this (minor) gap, starting with this submission, consumption data for bioethanol used in NFR 1.A.4.b ii are calculated by applying Germany's official annual shares of bioethanol blended to fossil gasoline.

Due to this procedure, the over-all fuel consumption in NFR 1.A.4.b ii has been increased slightly for all years as of 2004 by adding the amounts of bioethanol used, resulting in corresponding changes in over-all emissions (see also: info recalculations).

Table 2: Annual fuel consumption in household and gardening mobile sources, [TJ]

1990 1995 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Gasoline 2,177 2,395 2,395 2,395 2,394 2,395 2,395 2,395 2,177 2,177 2,177 3,445 3,379 4,069 3,820
Bioethanol NO NO NO NO NO NO 3 16 31 29 42 98 131 167 169

Emission factors

Without better information, constant tier1 values derived in TREMOD-MM are used mainly. Only for SO2, tier2 values computed within TREMOD-MM (ifeu, 2010) [2] are used, representing the development of fuel qualities and mitigation technologies.

In addition, starting with this submission, EF for exhaust heavy metal* and B[a]P emissions have been derived from (EMEP/EEA 2013) [3], whereas for all other PAHs and the PAH total, no emission factors are available at present.
* Exception: For lead (Pb) from leaded gasoline and corresponding TSP emissions, annually country-specific EFs are applied representing the fade-out of leaded gasoline in 1997.

As no specific EF are available for bioethanol, the values used for gasoline are applied.

EFs used for 2012 estimates

Main Pollutants Particulate Matter Heavy Metals Persistent Organis Pollutants
NEC Other PM2.5 ≤ PM10 ≤ TSP Main HM3,4 Other HM4 Polycyclic Aromatic Hydrocarbons Dioxins & Furans
NH3 NMVOC NOx SO2 CO PM2.5 PM10 TSP Pb Cd Hg As Cr Cu Ni Se Zn B[a]P B[b]F B[k]F I[1,2,3-cd]P ∑PAH Dioxins & Furans
kg/TJ kg/TJ g/TJ mg/TJ g I-Teq
4.001 373.002 725.002 0.402 4,010.001 NE NE NE NO3 NE NE 0.23 1.15 39 1.61 0.23 23 9194 NE NE NE NE 57.50

1 country-specific tier1 emission factors from TREMOD-MM [2]
2 country-specific, annual tier2 emission factors from TREMOD-MM [2]
3 leaded gasoline banned in 1997
4 tier1 defaults from EMEP/EEA GB 2013 [3]

Trend discussion for Key Sources

NFR 1.A.4.b.ii - Mobile Sources in Household and Gardening is no key source.

Recalculations

As the consumption data biofuels is included in addition to the amounts of fossil diesel oil and gasoline, over-all activity data for NFR 1.A.4.b ii increased for all years as of 2004.

Furthermore, the stronger changes in 2011 AD result from the rountine revision of the latest National Energy Balance.

Table: Newly implemented consumption data for bioethanol, in [TJ]

1990 1995 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Submission 2014 0 0 0 0 0 0 3 16 31 29 42 98 131 167
Submission 2013 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Table: Resulting revision of over-all fuel consumption 2004-2011, in [TJ]

1990 1995 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Submission 2014 2,177 2,395 2,395 2,395 2,394 2,395 2,398 2,411 2,208 2,206 2,219 3,543 3,510 4,236
Submission 2013 2,177 2,395 2,395 2,395 2,394 2,395 2,395 2,395 2,177 2,177 2,177 3,445 3,379 3,366
absolute change 0 0 0 0 0 0 3 16 31 29 42 98 131 870
relative change 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.11% 0.69% 1.44% 1.35% 1.91% 2.86% 3.86% 25.84%

On the other hand, all emission factors remain unchanged compared to submission 2013. - Here, the implementation of tier1 EF for exhaust heavy metal and B[a]P emissions from (EMEP/EEA, 2013) [3] resulted in new emission estimates for this sector.

For information on the impacts on 1990 and 2011 emission estimates, please see the pollutant specific recalculation tables following chapter 11.1 - 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". For detailled information, please refer to the project's final report here (German version only!).

Uncertainty estimates for emission factors were compiled during the PAREST research project. Here, the final report has not yet been published.

Planned improvements

As this improvement had to be postponed in submission 2014, particulate matter emissions from gasoline combustion will be provided for the first time with submission 2015, based on EF from (EMEP/EEA 2013) [3].

In addition, in order to consolidate the applied emission factors, a broad revision of the reporting of B[a]P and PAH 1-4 emissions is planned for all off-road mobile sources.

FAQs

Why are similar EF applied for estimating exhaust heavy metal emissions from both fossil and biofuels?

The EF provided in (EMEP/EEA 2013) [3] represent summatory values for (i) the fuel's and (ii) the lubricant's heavy-metal content as well as (iii) engine wear. Here, there might be no heavy metal contained the biofuels. But since the specific shares of (i), (ii) and (iii) cannot be separated, and since the contributions of lubricant and engine wear might be dominant, the same emission factors are applied to biodiesel and bioethanol.


Bibliography
1. AGEB, 2013: Arbeitsgemeinschaft Energiebilanzen (Hrsg.): Energiebilanz für die Bundesrepublik Deutschland; URL: http://www.ag-energiebilanzen.de/DE/daten-und-fakten/bilanzen-1990-2011/bilanzen-1990-2011.html, (Aufruf: 21.02.2014), Köln, Berlin.
2. ifeu, 2009: Helms, H., Lambrecht, U., Knörr, W. , IFEU - Institut für Energie- und Umweltforschung Heidelberg gGmbH: "Aktualisierung des Modells TREMOD-Mobile Machinery", Forschungsbericht 360 16 018 im Auftrag des Umweltbundesamtes, Heidelberg, Korrigendum 11.02.2010.
3. EMEP/EEA 2013: EMEP/EEA air pollutant emission inventory guidebook – 2013
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