Estimating CO2 emissions with satellite and traffic data: a Swedish practical case study
Abstract: The large carbon footprint of industries is one of the main issues raised when talking about climate change. Active carbon monitoring methods need to be implemented to give transparency to the industry market and to spread awareness and information. This thesis investigates multiple CO2 emissions monitoring via satellite monitoring for four different industries in the EU. The pulp and paper industry was monitored in Sweden through smoke detection coming from the chimneys of factories. The CO2 aggregated emissions of 14 Swedish factories were calculated with a mean error of 12%. The metal ore roasting, and sintering industry were successfully monitored as well through smoke detection. In Sweden with an error 4.6%, and in the EU with an error 9.5 %. The production of lime and the calcination of dolomite were unsuccessfully monitored due to no suitable method found. Finally, coke industry emissions were monitored through burned gas monitoring. The CO2 emissions were correlated to the real emissions with a mean correlation coefficient of 0.64. This study took part in a public information campaign lead by a Swedish start-up, and some results were displayed in Stockholm, Sweden.
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