AIMC Topic: Methane

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Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects.

Bioresource technology Dec 17, 2022
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process stability while enhancing methane yield due to synergistic effects. Operation of an efficient AcoD system, however, requires full comprehension of important ...
Artificial Intelligence Bioreactors Digestion Biofuels Anaerobiosis Methane
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Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors.

Analytical chemistry Jan 18, 2022
Noise significantly limits the accuracy and stability of retrieving gas concentration with the traditional direct absorption spectroscopy (DAS). Here, we developed an adaptively optimized gas analysis model (AOGAM) composed of a neural sequence filte...
Principal Component Analysis Methane Algorithms Deep Learning
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Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models.

Water research Sep 24, 2021
Interest in anaerobic co-digestion (AcoD) has increased significantly in recent decades owing to enhanced biogas productivity due to the utilization of different organic wastes, such as food waste and sewage sludge. In this study, a robust AcoD model...
Sewage Digestion Methane Food Bioreactors Refuse Disposal Deep Learning Anaerobiosis Biofuels
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Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data.

Water research Apr 22, 2021
Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics and to improve the digester performance. This is an essential yet difficult task due to the complex and unknown interactions within the system. The application ...
Genomics Anaerobiosis Methane Machine Learning Algorithms
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Experimental investigation and optimal combustion control of untreated landfill gas via fuzzy logic rule knowledge based approach.

Waste management (New York, N.Y.) Jan 9, 2021
Optimal combustion control of untreated landfill gas is proposed for an effective usage and a low-cost solution in waste to energy technologies. Variations of methane concentration in untreated landfill gas over time cause undesired performance of co...
Methane Waste Disposal Facilities Fuzzy Logic Air Pollutants Temperature
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Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion.

The Science of the total environment Dec 23, 2019
The objective of this study is to apply machine learning models to accurately predict daily biomethane production in an industrial-scale co-digestion facility. The methodology involved applying elasticnet, random forest, and extreme gradient boosting...
Anaerobiosis Methane Refuse Disposal Food Machine Learning
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Innovation hotspots in food waste treatment, biogas, and anaerobic digestion technology: A natural language processing approach.

The Science of the total environment Apr 7, 2019
The objective of this study is to apply natural language processing to identifying innovative technology trends related to food waste treatment, biogas, and anaerobic digestion. The methodology used involved analyzing large volumes of text data mined...
Refuse Disposal Biofuels Food Natural Language Processing Methane Bioreactors Anaerobiosis
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Co-digestion of Laminaria digitata with cattle manure: A unimodel simulation study of both batch and continuous experiments.

Bioresource technology Dec 31, 2018
This work investigated the thermophilic (55 °C) co-digestion performance both in batch and continuous mode operation. The biochemical methane potentials of L. digitata and cattle manure were 308 ± 24 and 203 ± 33 mL CH/g VS, respectively. The optimum...
Animals Manure Cattle Laminaria Reproducibility of Results Methane Bioreactors
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Production of lipid-containing algal-bacterial polyculture in wastewater and biomethanation of lipid extracted residues: Enhancing methane yield through hydrothermal pretreatment and relieving solvent toxicity through co-digestion.

The Science of the total environment Nov 6, 2018
The feasibility of generating a lipid-containing algal-bacterial polyculture biomass in municipal primary wastewater and enhancing biomethanation of lipid-extracted algal residues (LEA) through hydrothermal pretreatment and co-digestion with sewage s...
Chlorophyta Methane Kinetics Bacteria Sewage Solvents Coculture Techniques Wastewater Lipids Biomass
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Use of artificial neuronal networks for prediction of the control parameters in the process of anaerobic digestion with thermal pretreatment.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Apr 19, 2018
This article focuses on the analysis of the behavior patterns of the variables involved in the anaerobic digestion process. The objective is to predict the impact factor and the behavior pattern of the variables, i.e., temperature, pH, volatile solid...
Temperature Animals Anaerobiosis Methane Poultry Forecasting Computer Simulation Wastewater Water Purification Neural Networks, Computer Industrial Waste Food-Processing Industry Biofuels Hydrolysis Sewage
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