Optimization of substrate composition in anaerobic co-digestion of agricultural waste using central composite design
Autor: | Carmen Mateescu, Andreea Daniela Dima, Oana Cristina Pârvulescu, Tanase Dobre |
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Rok vydání: | 2020 |
Předmět: |
Central composite design
Renewable Energy Sustainability and the Environment Chemistry 020209 energy Substrate (chemistry) Forestry Fraction (chemistry) 02 engineering and technology Manure Animal science 0202 electrical engineering electronic engineering information engineering Response surface methodology Waste Management and Disposal Agronomy and Crop Science Mass fraction Cow dung Mesophile |
Zdroj: | Biomass and Bioenergy. 138:105602 |
ISSN: | 0961-9534 |
Popis: | Biochemical methane potential (BMP) tests and modelling of anaerobic co-digestion (AcoD) of ternary mixtures of agricultural waste, i.e., sugar beet root waste (BW), cow dung (CD), and poultry manure (PM), are presented. According to a two-factor central composite design (CCD), 12 BMP tests were conducted under mesophilic conditions for 30 days (d). CD mass fraction (0.146–0.854) in the animal manure mixture and C/N ratio (13.515–30.485) of ternary waste mixture were selected as process factors. Experimental values of ultimate cumulative methane yield as process response were in the range of 105.32–356.10 mL/g VS. A first-order rate model was applied to predict the process kinetics. Enhanced values of methane production rate, evaluated as rate constant (0.044–0.123 d−1), were obtained for lower levels of CD mass fraction and higher levels of C/N ratio. Response surface methodology (RSM) was applied to assess the effects of process factors on the response and to find the optimum factor levels leading to a maximum performance. A maximum value of response variable of 347.48 mL/g VS was predicted for a CD fraction of 0.323 and a C/N ratio of 26.24. Values of experimental ultimate methane yield of 358.45 ± 33.40 mL/g VS, obtained in the BMP tests at optimum levels of process factors, were close to that of the maximum response predicted by the statistical model, demonstrating the model validity. Moreover, a significant synergistic effect (an increase in methane yield by 41.2%) related to the weighed experimental BMP of substrate mixture was obtained under optimum conditions. |
Databáze: | OpenAIRE |
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