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In this paper, we focused on the statistical evaluation of inputs to a biogas plant processing a mixture of kitchen waste and agricultural crops to ensure stable biogas production. The aim of the research was to identify the components of the input substrates that will ensure the maximum yield of CH4 and the substrates that increase the production of H2S. By a suitable combination of substrates, it is possible to optimize the production of biogas from the biogas plant. We analyzed a sample of 858 measurements, which were carried out in a selected biogas station for a period of 2.5 years. We were interested in differences in production of CH4, O2, and H2S outputs depending on the composition of inputs. From 17 inputs, 125 substrates were formed. The significance of the influence of individual substrates as categorical variables with the achieved numerical values was assessed by means of ANOVA analysis. Selected substrates were sorted based on CH4 and H2S production using graphical methods (bubble graphs) into four quadrants defining the desired and undesired values of the output variables. We identified a total of 20 suitable and 11 unsuitable substrates to produce quality biogas. Sorghum silage substrate was defined as a substrate that significantly increases the proportion of H2S in biogas.
Peter Tauš; Dušan Kudelas; Marcela Taušová; Ľubomíra Gabániová. Statistical Approach for Assessing the Suitability of Substrates for a Biogas Plant. Sustainability 2020, 12, 9044 .
AMA StylePeter Tauš, Dušan Kudelas, Marcela Taušová, Ľubomíra Gabániová. Statistical Approach for Assessing the Suitability of Substrates for a Biogas Plant. Sustainability. 2020; 12 (21):9044.
Chicago/Turabian StylePeter Tauš; Dušan Kudelas; Marcela Taušová; Ľubomíra Gabániová. 2020. "Statistical Approach for Assessing the Suitability of Substrates for a Biogas Plant." Sustainability 12, no. 21: 9044.
Recently, the use of photovoltaic (PV) cells and the increase in the number of photovoltaic power plants has led to a detailed examination of their operating parameters. In this article, we discuss material and operating parameter influences on the performance and efficiency of photovoltaic panels in a photovoltaic power plant. The plant consisted of 3600 pieces of polycrystalline PV panels from Renewable Energy Corporation (REC) Solar (type REC 230AE) with a maximum power of 230 Wp. Parameter measurements were made three years after the power plant was started. The measured and computed data were statistically processed using multidimensional statistical methods where the relationships between input and output variables were examined, which was subsequently quantified by regression analysis. Using the ANOVA, the variability of the measured efficiency of the panels and the performance for individual years was examined. Efficiency has been found to increase significantly over the years. The reason for this is the statistically proven prevailing operating time of the PV power plant in conditions with lower temperature than standard operating conditions (25 °C). Ageing was not confirmed in optimal conditions and calculated efficiency was constant.
Dušan Kudelas; Marcela Taušová; Peter Tauš; Ľubomíra Gabániová; Ján Koščo. Investigation of Operating Parameters and Degradation of Photovoltaic Panels in a Photovoltaic Power Plant. Energies 2019, 12, 3631 .
AMA StyleDušan Kudelas, Marcela Taušová, Peter Tauš, Ľubomíra Gabániová, Ján Koščo. Investigation of Operating Parameters and Degradation of Photovoltaic Panels in a Photovoltaic Power Plant. Energies. 2019; 12 (19):3631.
Chicago/Turabian StyleDušan Kudelas; Marcela Taušová; Peter Tauš; Ľubomíra Gabániová; Ján Koščo. 2019. "Investigation of Operating Parameters and Degradation of Photovoltaic Panels in a Photovoltaic Power Plant." Energies 12, no. 19: 3631.