Damian Zasina, Jarosław Zawadzki
Emission mapping distinctly facilitates observations and analysis of the anthropogenic CO2 emission impact, and the population data is frequently used for preparing spatial distributions of the CO2 emissions and also its precursors. Spatial analysis of the emissions or e.g. carbon footprint estimated for the spatially scattered sector such as residential combustion (IPCC sector 1A4bi) can be very hard to carry out, especially if in particular location considerable part of population is supplied with the heat from the district heating infrastructure. In this paper we propose the algorithm for spatial split between dwellings supplied from the district heating (CO2 emission in the sector 1A1a) and not supplied – emitting CO2 in the sector 1A4bi. Applying of the proposed algorithm changes distinctly the CO2 emission’s spatial distribution. The emissions are corrected only in grid cells which have non empty intersection with the district heating arteries. Validation of the model indicated 6% difference between the actual number of dwellers supplied from the heating system, and modelled. The authors suggest applicability of the algorithm for the CO2 emissions inventoried together with its precursors.