[HTML][HTML] Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network

F Almomani - Fuel, 2020 - Elsevier
The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs),
cow manure (CM), and the application of chemical pre-treatment with NaHCO 3 on the …

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 …

Artificial neural network based modeling to evaluate methane yield from biogas in a laboratory-scale anaerobic bioreactor

VV Nair, H Dhar, S Kumar, AK Thalla, S Mukherjee… - Bioresource …, 2016 - Elsevier
The performance of a laboratory-scale anaerobic bioreactor was investigated in the present
study to determine methane (CH 4) content in biogas yield from digestion of organic fraction …

[HTML][HTML] Modeling of biogas production from food, fruits and vegetables wastes using artificial neural network (ANN)

JG Neto, LV Ozorio, TCC de Abreu, BF Dos Santos… - Fuel, 2021 - Elsevier
Biogas can be generated from many types of biomass residues. These biomasses have
different characteristics which makes standardization of process conditions difficult. Thus …

Application of artificial neural network and kinetic modeling for the prediction of biogas and methane production in anaerobic digestion of several organic wastes

NE Mougari, JF Largeau, N Himrane… - … Journal of Green …, 2021 - Taylor & Francis
In the current study, artificial neural network (ANN) and modified Gompertz equation (MG)
were applied to develop integrated based models for the prediction of cumulative biogas …

Biogas generation potential of discarded food waste residue from ultra-processing activities at food manufacturing and packaging industry

D Singh, M Tembhare, N Machhirake, S Kumar - Energy, 2023 - Elsevier
There is a tremendous increase in the demand for efficient and productive food supply chain
due to rapid increase in the world population. At the same time, anaerobic digestion (AD) of …

[HTML][HTML] Enhancing the production of biogas through anaerobic co-digestion of agricultural waste and chemical pre-treatments

F Almomani, RR Bhosale - Chemosphere, 2020 - Elsevier
Large amounts of agricultural solid wastes (ASWs) and animal dung are produced annually
causing serious environmental problem that requires proper treatment. The present study …

Anaerobic digestion/co-digestion kinetic potentials of different agro-industrial wastes: A comparative batch study for C/N optimisation

Z Zahan, MZ Othman, TH Muster - Waste Management, 2018 - Elsevier
Anaerobic digestion (AD) of different agro-industrial wastes and their co-digestion potential
has been exhaustively studied in this research. It explores variation of feedstock …

Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm

HA Qdais, KB Hani, N Shatnawi - Resources, Conservation and Recycling, 2010 - Elsevier
Artificial neural networks (ANNs) and genetic algorithms (GA) are considered among the
latest tools that are used to solve complicated problems that cannot be solved by …

Predicting steady-state biogas production from waste using advanced machine learning-metaheuristic approaches

Y Sun, H Dai, H Moayedi, BN Le, RM Adnan - Fuel, 2024 - Elsevier
This research offers a fast and accurate method for measuring the biogas production rate
throughout biogas production. An agricultural biogas plant's measurement of eight process …