Performance and Kinetics of Anaerobic Digestion of Sewage Sludge Amended with Zero-Valent Iron Nanoparticles, Analyzed Using Sigmoidal Models DOI Creative Commons
Luiza Usevičiūtė, Tomas Januševičius, Vaidotas Danila

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1425 - 1425

Published: March 13, 2025

Sewage sludge was treated with nanoscale zero-valent iron (nZVI) to enhance biogas and methane (CH4) production, the influence of key parameters on material’s anaerobic digestion (AD) efficiency analyzed using sigmoidal mathematical models. In this study, three dosages nZVI (0.5%, 1.5% 3%) were added system accelerate decomposition process. The results showed that cumulative yield after 41 days increased by 23.9% in reactor a dosage 1.5%. Correspondingly, highest CH4 production enhancement 21.5% achieved compared control. indicated optimal for AD system, as it governed yields maximum removal total volatile solids. Additionally, predict evaluate kinetic parameters, eight models applied. According modified Gompertz, Richards logistic models, shortened lag phase from 11 5 Schnute model provided best fit experimental data due coefficients determination (R2: 0.9997–0.9999 at 3% dosages), well lowest Akaike’s Information Criterion values errors. This demonstrated its superior performance other

Language: Английский

Performance and Kinetics of Anaerobic Digestion of Sewage Sludge Amended with Zero-Valent Iron Nanoparticles, Analyzed Using Sigmoidal Models DOI Creative Commons
Luiza Usevičiūtė, Tomas Januševičius, Vaidotas Danila

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1425 - 1425

Published: March 13, 2025

Sewage sludge was treated with nanoscale zero-valent iron (nZVI) to enhance biogas and methane (CH4) production, the influence of key parameters on material’s anaerobic digestion (AD) efficiency analyzed using sigmoidal mathematical models. In this study, three dosages nZVI (0.5%, 1.5% 3%) were added system accelerate decomposition process. The results showed that cumulative yield after 41 days increased by 23.9% in reactor a dosage 1.5%. Correspondingly, highest CH4 production enhancement 21.5% achieved compared control. indicated optimal for AD system, as it governed yields maximum removal total volatile solids. Additionally, predict evaluate kinetic parameters, eight models applied. According modified Gompertz, Richards logistic models, shortened lag phase from 11 5 Schnute model provided best fit experimental data due coefficients determination (R2: 0.9997–0.9999 at 3% dosages), well lowest Akaike’s Information Criterion values errors. This demonstrated its superior performance other

Language: Английский

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