Lopez-Aparicio, S.; Grythe, H.; Markelj, M. High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions. Energies2022, 15, 9332.
Lopez-Aparicio, S.; Grythe, H.; Markelj, M. High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions. Energies 2022, 15, 9332.
Lopez-Aparicio, S.; Grythe, H.; Markelj, M. High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions. Energies2022, 15, 9332.
Lopez-Aparicio, S.; Grythe, H.; Markelj, M. High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions. Energies 2022, 15, 9332.
Abstract
Emissions from wood burning for heating in secondary homes or cabins is an important aspect for the development of high-resolution emission inventories in specific areas. Norway is used as case study as the national wood consumption for heating in cabins is around 20% of the total. Our study shows first a method to estimate emissions from cabins based on traffic data to derive cabin occupancy, which combined with heating need allows for the spatial and temporal distribution of emissions. The combination of residential (RWC) and cabin wood combustion (CWC) emissions shows large spatial and temporal differences, and a temporally “cabin population” can in areas be orders of magnitude larger than the registered population. While RWC emissions have been steadily reduced, CWC have kept relatively constant or even increased, which results on an increase in the cabin share to total heating emissions up to 25-35%. When comparing with regional emissions inventories, our study shows that the gradient between rural and urban areas is not well represented in regional emissions inventories, which resembles a population-based distribution and does not allocate emissions in cabin municipalities. At last, our study shows that CWC emissions may become an increasing environmental concern as higher densification trends in mountain areas are observed.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
