Evaluation of the biological methane potential of various feedstock for the production of biogas to supply agricultural tractors
Anna Matuszewska , Marlena Owczuk , Anna Zamojska-Jaroszewicz , Joanna Jakubiak-Lasocka , Jakub Lasocki , Piotr Orliński
AbstractThis work is divided into three parts. The first one presents results of biological methane potential of agriculture raw materials available in Poland. In the second part the simple mathematical model of methanogenic fermentation is proposed. The data for this model were obtained from experimental digestion process of chosen mixtures. Last part includes the results of research of exhaust emissions generated by dual dual-fuel engine of agricultural tractor powered by mixture of model biogas (60% and 70% of methane) and diesel oil. The obtained results revealed that there was a significant difference in chemical composition and yield of biogas between considered feedstock types. The highest biogas and methane production was obtained for mixtures in ratio of 6:4 for swine manure/maize silage and whey/grass silage. Due to agriculture conditions in Poland and obtain results, the maize silage and swine manure were chosen to development of mathematical model of fermentation process. It showed a satisfactory match to the experimental results. Results of emission tests on dual-fuel tractor engine supplied with biogas and diesel oil showed the higher concentrations of hydrocarbons and carbon oxide and lower concentrations of particulate matter in exhaust gases. Level of emission of particular components depends on the biogas composition.
|Journal series||Energy Conversion and Management, ISSN 0196-8904|
|Publication size in sheets||0.5|
|Keywords in Polish||biogaz, fermentacja beztlenowa, model matematyczny, dwupaliwowy system zasilania, emisja zanieczyszczeń|
|Keywords in English||biogas, anaerobic digestion, mathematical model, dual-fuel supply system, exhaust emission|
|Score|| = 45.0, 29-11-2017, ArticleFromJournal|
= 45.0, 29-11-2017, ArticleFromJournal
|Publication indicators||: 2016 = 5.589 (2) - 2016=5.472 (5)|
|Citation count*||15 (2018-06-16)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.