W artykule przedstawiono analizę niepewności zrealizowaną dla wskaźnika emisji metanu z górnictwa węgla kamiennego w Polsce. Posłużono się wytycznymi międzynarodowej metodyki inwentaryzacji emisji gazów cieplarnianych oraz dostępnymi danymi pochodzącymi z pomiarów CH4 zrealizowanych w kopalniach w Polsce zarządzanych przez jedną z krajowych spółek wydobywczych. Zauważono, że wartość wskaźnika emisji CH4 oszacowane z wykorzystaniem fragmentarycznych danych może znacznie różnić się od średniej wartości wykorzystanej na potrzeby prowadzenia krajowej inwentaryzacji emisji gazów cieplarnianych, niemniej jednak oszacowanie przedziału ufności dla wskaźnika emisji oraz jego podstawowych właściwości statystycznych może znaleźć zastosowanie w oszacowaniu wielkości emisji krajowej CH4 do powietrza.
EN
The paper presents the uncertainty analysis performed for the methane (CH4) emission factor from coal mining in Poland. The analysis is carried out in line with the international guidelines on the air emission inventory. Results are obtained using the measurement data acquired from selected Polish coal mines managed by the one of coal mining companies. It is noted that the CH4 emission factor may be significantly different from the mean value applied for purposes of fulfilling of international obligations. Nevertheless, the estimation of the confidence interval along with the basic statistical properties of the emission factor can be applied for purposes of the national CH4 emission inventory elaborated under the Climate Convention.
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The aim of the study is to present the results of mathematically modeled influence of the average speed on the pollutant released in the air during the cold-start process. There were taken into consideration the emission from the passenger cars (PCs) for the different fuel types, vehicles’ segments (including hybrid), and the Euro standard. In the article the simulations was performed using the COPERT software, as well as WLTP-based research. The modelling results there are presented show that the change in average speed has a significant effect on air pollutant (CO2, NOx, NMVOC, CO) emissions released in cold-start process. Furthermore, the results show that pollutants’ emissions are sensitive to average speed fluctuations.
In the article were compared the vehicles (by pairing) the vehicles on the basis of selected criteria considering vehicles’: weight, length, wheel width, maximum output and acceleration time. The article was carried out by analysing the available source materials and specific energy mix based on coal. The emission of air pollutants (exhaustive) was estimated using the mathematical calculation. In order to carry out the analysis, the data provided by the manufacturers of the considered cars were used, concerning fuel consumption by the cars equipped with the internal combustion engines or electricity consumption in the case of cars with equipped with electric motors. The air pollutants that were taken into consideration: carbon monoxide, nitrogen oxides, sulphur dioxide, carbon dioxide, and total particulate matter. Apart from the exhaustive emissions, the total particular matter emissions from the tyre and brake wear and road abrasion is also included. The pollutant emission was estimated on the basis of emission factors using the average mileage characterizing for driving in European conditions.
The aim of this paper is to present the results of mathematically modelling the influence of ambient temperature on hydrocarbons (HCs, comprised of methane and non-methane volatile organic compounds) in cold-start emissions from passenger cars (PCs) for different fuel types, vehicle segments including hybrid vehicles, and the Euro standard. In this article the simulations are performed using COPERT software, assuming ambient temperatures from 20◦C to +30◦C, with 5◦C intervals. The modelling results presented show that a change in ambient temperature has a significant effect on hydrocarbons in cold-start emissions. Furthermore, our results show that hydrocarbons emissions are sensitive to ambient temperature fluctuations, and dependent on fuel type, vehicle segment, and the Euro standard.
The paper summarizes previous studies associated with carrying out of the air pollutant emission inventories. There are presented three approaches for obtaining monthly distribution of PM10 air emission: using expert’s judgement, modelling of the heating demand, and temporal disaggregation using the heating degree days (HDD). However some differences due to not considering hot water demand, it can be effectively used for obtaining temporal, and spatiotemporal distributions of air pollutants’ air emissions necessary for air quality modelling.
The paper presents the quick look on the possible consequences associated with the spatial data manipulations in air emission inventories. The study area is the Upper Silesian Metropolitan Area, located in the southern part of Poland, where the substantial part of dwellers is supplied with the heat from the district heating system. Is shown that skipping some spatial information, or use of incomplete/obsolete data sets can make the uncertainties of the CO2 emission inventory from the residential sector almost ten times bigger in particular areas. Uncertainties tend to increase along with the number of spatial transformations.
PL
Przedmiotem artykułu jest krótkie przeanalizowanie konsekwencji błędów wynikających z przekształceń niekompletnych (nieaktualnych) danych przestrzennych. Obszarem badawczym jest część Konurbacji Górnośląskiej, której znaczny odsetek mieszkańców jest zaopatrywany w ciepło sieciowe. Wykazano, że pominięcie części informacji przestrzennej albo wykorzystanie niekompletnych danych przestrzennych może prawie dziesięciokrotnie zwiększyć niepewność oszacowania emisji CO2 w wybranych częściach obszaru badawczego.
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