AIMC Topic: Biofuels
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Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models.
Bioresource technology
Nov 6, 2024
Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal r...
Machine learning for enhancing prediction of biogas production and building a VFA/ALK soft sensor in full-scale dry anaerobic digestion of kitchen food waste.
Journal of environmental management
Nov 5, 2024
Based on operational data collected over 1.5 years from four full-scale dry anaerobic digesters used for kitchen food waste treatment, this study adopted eight typical machine learning algorithms to distinguish the best biogas prediction model and to...
Applying machine learning and genetic algorithms accelerated for optimizing ethanol production.
The Science of the total environment
Oct 20, 2024
Corn straws can produce bioethanol via simultaneous saccharification and co-fermentation (SSCF). However, identifying optimal combinations of operating parameters from numerous possibilities through a cost-effective strategy to improve SSCF efficienc...
Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects.
Bioresource technology
Sep 29, 2024
This review explores the critical role of machine learning (ML) in enhancing microalgae bioprocesses for sustainable biofuel production. It addresses both technical and economic challenges in commercializing microalgal biofuels and examines how ML ca...
Unravelling barriers associated with dissemination of large-scale biogas plant with analytical hierarchical process and fuzzy analytical hierarchical process approach: Case study of India.
Bioresource technology
Sep 26, 2024
This study explores why large-scale biogas plants are not widely installed in India despite the wealth of biomass resources. The methodology includes an extensive literature review and surveyed biogas experts in different sectors, such as private, pu...
Machine learning-aided unveiling the relationship between chemical pretreatment and methane production of lignocellulosic waste.
Waste management (New York, N.Y.)
Jul 27, 2024
Chemical pretreatment is a common method to enhance the cumulative methane yield (CMY) of lignocellulosic waste (LW) but its effectiveness is subject to various factors, and accurate estimation of methane production of pretreated LW remains a challen...
Application of triple-branch artificial neural network system for catalytic pellets combustion.
Journal of environmental management
Jul 10, 2024
On the international level, it is common to act on reducing emissions from energy systems. However, in addition to industrial emissions, low-stack emissions also make a significant contribution. A good step in reducing its environmental impact, is to...
Assessing global carbon sequestration and bioenergy potential from microalgae cultivation on marginal lands leveraging machine learning.
The Science of the total environment
Jul 9, 2024
This comprehensive study unveils the vast global potential of microalgae as a sustainable bioenergy source, focusing on the utilization of marginal lands and employing advanced machine learning techniques to predict biomass productivity. By identifyi...
Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass.
The Science of the total environment
Jun 20, 2024
Hydrothermal liquefaction (HTL) is a thermochemical conversion technology that produces bio-oil from wet biomass without drying. However, by-product gases will inevitably be produced, and their formation is unclear. Therefore, an automated machine le...
RSM and ANN methodologies in modeling the enhanced biodiesel production using novel protic ionic liquid anchored on g-CN@FeO nanohybrid.
Chemosphere
May 25, 2024
Herin, a new nanohybrid acid catalyst was fabricated for the efficient biodiesel production. At the first, magnetic porous nanosheets of graphitic carbon nitride (g-CN@FeO) was prepared and then functionalized with sulfonic acid. Next, the preparatio...
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