Review, Assessment and Development of Search Engine for Residential Wood Combustion
Gaire, Surakshya (2013)
Gaire, Surakshya
Metropolia Ammattikorkeakoulu
2013
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2013060412819
https://urn.fi/URN:NBN:fi:amk-2013060412819
Tiivistelmä
Finnish Environment Institute (SYKE) is developing integrated assessment models systems and assessing the emissions of residential wood combustion and its effects on the environment. The emissions from residential wood combustion have several negative impacts on human health and environment. Mainly the health effect from particulate matter is higher than PCDD/F, PAH and carbonaceous compounds etc. The particulate matter with diameter less than 2.5-micron cause harmful effects on health. Experimental data were obtained from different countries varying with the appliances, fuel quality, combustion conditions and their operational practices. The aim of the project was to assess the collected data and develop a search engine for future uses.
The data was obtained from thirty-seven scientific articles and reports on experimental results of small-scale residential wood combustion and their emission factors in different countries. For uniformity, all units were converted to mg/MJ. Finally, the emissions factors were analysed using R software and Microsoft Excel. An R function is also prepared to assess the database for future uses.
The result showed that emissions from primitive appliances were significantly higher than those from modern appliances. The replacement of the old appliances and good operational practices resulted in the reduction of emissions to some extent. The ranking of used appliances was done by using Tukey test and mean aggregate in R and ranking was done on the basis of the significance level of eight emission factors. The search engine of assessed database was prepared in R programming language. The result of every emission factors was obtained by using the R function. Nevertheless, the results are affected by the measurement methods used in the experiments, some conversion factors and the accuracy of results as few measurements were knowingly done in poor combustion. The results obtained can be implemented for analysing emission factors with different appliances and to find good combusting appliances according to the emission level.
The data was obtained from thirty-seven scientific articles and reports on experimental results of small-scale residential wood combustion and their emission factors in different countries. For uniformity, all units were converted to mg/MJ. Finally, the emissions factors were analysed using R software and Microsoft Excel. An R function is also prepared to assess the database for future uses.
The result showed that emissions from primitive appliances were significantly higher than those from modern appliances. The replacement of the old appliances and good operational practices resulted in the reduction of emissions to some extent. The ranking of used appliances was done by using Tukey test and mean aggregate in R and ranking was done on the basis of the significance level of eight emission factors. The search engine of assessed database was prepared in R programming language. The result of every emission factors was obtained by using the R function. Nevertheless, the results are affected by the measurement methods used in the experiments, some conversion factors and the accuracy of results as few measurements were knowingly done in poor combustion. The results obtained can be implemented for analysing emission factors with different appliances and to find good combusting appliances according to the emission level.