Application of triple-branch artificial neural network system for catalytic pellets combustion.

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 move to biofuels, including biomass.

Advanced dual-artificial neural network system for biomass combustion analysis and emission minimization.

Management of agricultural waste is an important part of plantation operations. Not all wastes are suitable for composting or the process is simply inefficient and time-consuming. In their case, thermal treatment is acceptable, but it is necessary to optimize the process to minimize greenhouse gas emissions.

Artificial neural networks to differentiate the composition and pyrolysis kinetics of fresh and long-stored maize.

In this study, a novel methodology to determine plant biomass composition using artificial neural networks (ANN) is presented. This study was performed to determine the changes in the composition of fresh and 12 month-long stored biomass samples. The production of biofuels is a common method used to manage agricultural waste.

Analyzing the kinetics of waste plant biomass pyrolysis via thermogravimetry modeling and semi-statistical methods.

This article presents a methodology for determining the kinetic parameters of biomass based on thermogravimetric analysis and the Coats-Redfern procedure with 27 model equations. Maize samples stored for approximately one year were used herein. The first sub-stage of pyrolysis was a first-order reaction with nuclei growth of n = 1, and the second sub-stage indicated a different kinetic order (1.

The pump-mixed anaerobic digestion of pig slurry: new technology and mathematical modeling.

Biogas production is a relatively novel and developing branch of the renewable fuel sector, which allows agricultural waste, and more, to be used as a feedstock. New technologies have been integrated into the process to improve its efficiency. In this study, a pump-mixed anaerobic digestion concept is considered for both experimental and modeling approaches.

Innovations in anaerobic digestion: a model-based study.

Background: Increasing the efficiency of the biogas production process is possible by modifying the technological installations of the biogas plant. In this study, specific solutions based on a mathematical model that lead to favorable results were proposed. Three configurations were considered: classical anaerobic digestion (AD) and its two modifications, two-phase AD (TPAD) and autogenerative high-pressure digestion (AHPD).