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Računska optimizacija izplena metana pridobljenega v semikontinuirani anaerobni razgradnji
ID Deutsch, Leon (Author), ID Stres, Blaž (Mentor) More about this mentor... This link opens in a new window, ID Kolbl, Sabina (Comentor)

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Abstract
Z avtomatskim sistemom za merjenje metanskega potenciala (AMPTS II) smo izvedli faktorialni semikontinuirani test biometanskega potenciala anaerobne korazgradnje primarnega blata (PB), sirotke (S) in kravje gnojevke (KG) (68 dni, 38 °C). Uporabili smo štiri različne kombinacije substratov pri različnih organskih obremenitvah in hidravličnih zadrževalnih časih. Med testom smo izvajali meritve fizikalno-kemijskih parametrov (pH, električna prevodnost, kratkoverižne maščobne kisline (KMK), KPK, mikroelementi, alkaliteta, amonijski dušik, suha snov) in na koncu optimizirali proces z univariatnimi in multivariatimi statističnimi analizami. Po stabilni 50-dnevni metanski produkciji smo enkrat povečali količino dodane sirotke. Glede na vse analitske metode smo zaznali stabilno produkcijo bioplina iz sirotke pri vseh kombinacijah substratov. Metanski izplen je koreliral s količino dodane kisle sirotke. Sirotka je v takem sistemu glavni vir KMK, kravja gnojevka pa prispeva k stabilnosti procesa s povečanjem puferske kapacitete. V sistemu brez kravje gnojevke smo detektirali več KMK. Z nemetričnim večdimenzionalnim lestvičenjem (NM-MDS) smo pokazali, da so za uspešno vodenje procesa najbolj pomembni pH, KMK in alkaliteta. Potencialno se lahko pojavijo težave zaradi prenizkih koncentracij nekaterih mikroelementov v daljšem časovnem obdobju, ko zaradi izplavljanja dosežejo kritične koncentracije za normalno funkcioniranje metanogenih arhej. Najvišje metanske izplene smo dosegli v paralelkah z volumskim razmerjem substratov PB:S:KG 70:55:10. Po povečanju količine sirotke smo največjo stabilnost zaznali v sistemu z razmerjem 70:70:10.

Language:Slovenian
Keywords:anaerobna razgradnja, bioplin, sirotka, optimizacija, fizikalno-kemijski parametri, test BMP, metan, alkaliteta, mikroelementi, NM-MDS
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:BF - Biotechnical Faculty
Publisher:[L. Deutsch]
Year:2018
PID:20.500.12556/RUL-101680 This link opens in a new window
UDC:579.66:602.4:628.385
COBISS.SI-ID:4920952 This link opens in a new window
Publication date in RUL:24.06.2018
Views:3496
Downloads:617
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Secondary language

Language:English
Title:Computational optimization of methane yield obtained in semicontiniuous anaerobic digestion
Abstract:
A semicontinuous test of the biomethane potential of primary sludge (PS), cheese whey (CW) and cow manure (CM) has been investigated with automatic methane potential system (AMPTS II) for 68 days (38 °C). Four different combinations of substrates were used at different organic loadings and hydraulic retention times. During the test, we performed measurements of physico-chemical parameters (pH, electrical conductivity, SFACs, COD, microelements, dry matter, alkalinity) and optimized the process with univariate and multivariate statistical analysis. After 50-days of stable methane production, we doubled cheese whey concentrations. According to all analytical methods, stable methane production was observed in all combinations of substrates. The methane yield was correlated with the amount of cheese whey addition. According to our observations, cheese whey was the main source of SCFAs in the system, while cow manure contributed to the stability of the process with increasing buffer capacity. We detected higher concentrations of SCFAs in the process without cow manure addition. pH, alkalinity and SCFAs were the most important parameters according to nonmetric multidimensional scaling analysis. We observed potential problems in process stability in the extension of the process, because of decreasing concentrations of some microelements, because of washing out of the reactors. The highest methane yields in the first 50 days were observed at a PS:CW:CM ratio of 70:55:10. The most stable process after doubling CW addition was observed at a ratio of 70:70:10.

Keywords:anaerobic digestion, biogas, cheese whey, optimization, physico-chemical parameters, BMP test, methane, alkalinity, microelements, NM-MDS

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