5.E - Building and Car Fires

Last updated on 09 Oct 2018 06:49 (cf. Authors)

Short description

Within NFR 5.E - Other Waste, emissions from building and car fires are reported.

NFR Code Name of Category Method AD EF Key Category 1
5.E Building and Car Fires D NS D L: PM10, PM2.5, PCDD/F

Method

Emissions from building and car fires is a new source of this inventory - accidental fires are mentioned (including acts of vandalism).

In 2017, the ERT has drawn up a calculation for all MS with a gap for building and car fires on the basis of the population of the MS.

From this technical revision, a new inventory table was created for Germany as Tier2 technology-specific approach. In adding to the technical Revision for particulate emissions, a complete EM-spectrum was implemented, which follows the given default factors.

Activity data

Official population statistics for Germany are applied as primary activity data.
From these statistical input data, the number of fires is estimated via EU-average numbers for different fires per 1,000 inhabitants:

For building fires, the average number of fires per 1,000 inhabitants is 1.0 for 2005, 2010 and 2015.

In order to apply the emission factors available from the 2016 EMEP/EEA Guidebook, the annual number of building fires is further differentiated for detached and undetached, appartment and industrial buildings via annual statistics on buildings and flats [2]:

Table 1: Repartition per category of buildings, for 2015
detached houses undetached houses appartement buildings industrial buildings
25% 12% 43% 20%

For car fires, the verage number of fires per 1,000 inhabitants is 0.35 for 2005, 2010 and 2015.

In contrast to building fires, in accordance to the emission factor values provided in the 2016 EMEP/EEA Guidebook, no additional differentiation e.g. of vehicle categories is implemented.

Emission factors

For most of pollutants Tier2 default values from the EMEP/EEA air pollutant emission inventory guidebook 2016, Chapter 5.E - Other waste, tables 3-2 to 3-6 are applied. Due to gap for emissions factors of black carbon we assume the following analogy: 10% of PM2.5 from Table 3-40, Tier 2 emission factor for conventional stoves, wood and similar wood waste.

Recalculations

Recalculations have been carried out compared to the 2017 Submission due to first time reporting. As a result, the PM inventory of Germany has grown significantly.
In addition, this source category has become the dominating source for dioxin emissions.

For pollutant-specific information on recalculated emission estimates reported for Base Year and 2015, please see the pollutant specific recalculation tables following chapter 8.1 - Recalculations.

Planned improvements

At the moment, the method is under review within a current research project [1], intended to look for a countryspecific method.


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