[HTML][HTML] Innovative artificial neural network approach for integrated biogas–wastewater treatment system modelling: Effect of plant operating parameters on process …

P Sakiewicz, K Piotrowski, J Ober, J Karwot - Renewable and Sustainable …, 2020 - Elsevier
An anaerobic fermentation process for biogas production integrated with wastewater
purification in a modern wastewater treatment plant (WWTP) of designed nominal capacity …

A critical review of data science applications in resource recovery and carbon capture from organic waste

MT Zaki, LS Rowles, DA Adjeroh… - ACS Es&t …, 2023 - ACS Publications
Municipal and agricultural organic waste can be treated to recover energy, nutrients, and
carbon through resource recovery and carbon capture (RRCC) technologies such as …

[HTML][HTML] Industry 4.0 based process data analytics platform: A waste-to-energy plant case study

JC Kabugo, SL Jämsä-Jounela, R Schiemann… - International journal of …, 2020 - Elsevier
Abstract Industry 4.0 and Industrial Internet of Things (IIoT) technologies are rapidly fueling
data and software solutions driven digitalization in many fields notably in industrial …

Innovative approach for predicting biogas production from large-scale anaerobic digester using long-short term memory (LSTM) coupled with genetic algorithm (GA)

MM Salamattalab, MH Zonoozi, M Molavi-Arabshahi - Waste Management, 2024 - Elsevier
An artificial neural network (ANN) model called long-short term memory (LSTM), coupled
with a genetic algorithm (GA) for feature selection, was used to predict biogas production of …

Artificial neural network model to predict behavior of biogas production curve from mixed lignocellulosic co-substrates

MD Ghatak, A Ghatak - Fuel, 2018 - Elsevier
Depletion of fossil fuels and increase in global pollution at an alarming rate has encouraged
the researchers to look for environmental friendly and cost effective alternative sources of …

Biogas production estimation using data-driven approaches for cold region municipal wastewater anaerobic digestion

M Asadi, H Guo, K McPhedran - Journal of environmental management, 2020 - Elsevier
The objective of this study was to estimate biogas (including methane, carbon dioxide and
hydrogen sulphide) production rates from the anaerobic digesters at the Saskatoon …

Biogas maximization using data-driven modelling with uncertainty analysis and genetic algorithm for municipal wastewater anaerobic digestion

M Asadi, K McPhedran - Journal of Environmental Management, 2021 - Elsevier
Anaerobic digestion processes create biogases that can be useful sources of energy. The
development of data-driven models of anaerobic digestion processes via operating …

Methane yield prediction of ultrasonic pretreated sewage sludge by means of an artificial neural network

H Şenol - Energy, 2021 - Elsevier
In this study, anaerobic digestion of sewage sludge with different ultrasonic pretreatment
(USp) conditions was investigated. USp were applied at a constant ultrasonic density of 0.5 …

Modeling and optimization of semi-continuous anaerobic co-digestion of activated sludge and wheat straw using Nonlinear Autoregressive Exogenous neural network …

A Hatata, N Said - Energy, 2022 - Elsevier
Anaerobic digestion of bio-wastes has a great potential to substitute fossil fuel consumption
and reduce air pollution. In this study, semi-continuous anaerobic co-digestion of waste …

Comparing the effect of mesophilic and thermophilic anaerobic co-digestion for sustainable biogas production: An experimental and recurrent neural network model …

R Alrowais, A Al-Otaibi, AY Hatata, MA Essa - Journal of Cleaner …, 2023 - Elsevier
Anaerobic digestion is a promising technology for treating bio wastes from energetic and
environmental point of views. Co-digestion of wastes and process temperature are essential …