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Can I read Biogas Maximization Using Data-driven Modelling with Uncertainty Analysis and Genetic Algorithm for Municipal Wastewater Anaerobic Digestion on EtoBox?
Biogas Maximization Using Data-driven Modelling with Uncertainty Analysis and Genetic Algorithm for Municipal Wastewater Anaerobic Digestion by Mohsen Asadi; Kerry McPhedran is a Environmental Science article available to read on EtoBox.
What is Biogas Maximization Using Data-driven Modelling with Uncertainty Analysis and Genetic Algorithm for Municipal Wastewater Anaerobic Digestion about?
Anaerobic digestion processes create biogases that can be useful sources of energy. The development of data-driven models of anaerobic digestion processes via operating parameters can lead to increased biogas production rates, resulting in greater energy production, through process modification and optimization. This study assessed processed and unprocessed input operating parameter variables for the development of regression models with transparent structures ('white-box' models) to: (1) estimate biogas production rates from municipal wastewater treatment plant (MWTP) anaerobic digestors; (2) compare their performances to artificial neural network (ANN) and adaptive network-based fuzzy inference system (ANFIS) models with opaque structures ('black-box' models) using Monte Carlo Simulation for uncertainty analysis; and (3) integrate the models with a genetic algorithm (GA) to optimize operating parameters for maximization of MWTP biogas production rates. The input variables were anaerobic digestion operating parameters from a MWTP including volatile fatty acids, total/fixed/volatile solids, pH, and inflow rate, which were processed via correlation tests and principal component anal
Who reads Biogas Maximization Using Data-driven Modelling with Uncertainty Analysis and Genetic Algorithm for Municipal Wastewater Anaerobic Digestion?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Mohsen Asadi; Kerry McPhedran
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Environmental Science (Physical Sciences)