Artificial neural networks for pyrolysis, thermal analysis, and thermokinetic studies: the status quo
Artificial neural networks (ANNs) are a method of machine learning (ML) that is now widely
used in physics, chemistry, and material science. ANN can learn from data to identify …
used in physics, chemistry, and material science. ANN can learn from data to identify …
[KİTAP][B] Biomass gasification and pyrolysis: practical design and theory
P Basu - 2010 - books.google.com
This book offers comprehensive coverage of the design, analysis, and operational aspects
of biomass gasification, the key technology enabling the production of biofuels from all …
of biomass gasification, the key technology enabling the production of biofuels from all …
Equilibrium modeling of gasification: a free energy minimization approach and its application to a circulating fluidized bed coal gasifier
A non-stoichiometric equilibrium model based on free energy minimization is developed to
predict the performance of gasifiers. The model considers five elements and 44 species in …
predict the performance of gasifiers. The model considers five elements and 44 species in …
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
In this paper, multi-layer feed forward neural networks are used to predict the lower heating
value of gas (LHV), lower heating value of gasification products including tars and entrained …
value of gas (LHV), lower heating value of gasification products including tars and entrained …
Modeling and optimization of the NOx emission characteristics of a tangentially fired boiler with artificial neural networks
H Zhou, K Cen, J Fan - Energy, 2004 - Elsevier
The present work introduces an approach to predict the nitrogen oxides (NOx) emission
characteristics of a large capacity pulverized coal fired boiler with artificial neural networks …
characteristics of a large capacity pulverized coal fired boiler with artificial neural networks …
Assessment of producer gas composition in air gasification of biomass using artificial neural network model
Energy generation from renewable and carbon-neutral biomass is significant in the context
of a sustainable energy framework. Hydrogen can be conveniently extracted from biomass …
of a sustainable energy framework. Hydrogen can be conveniently extracted from biomass …
Tar prediction in bubbling fluidized bed gasification through artificial neural networks
D Serrano, D Castelló - Chemical Engineering Journal, 2020 - Elsevier
Tars are one of the main barriers for the implementation of biomass gasification at industrial
scale. Among the considerable number of models to predict gas composition, there is a lack …
scale. Among the considerable number of models to predict gas composition, there is a lack …
Simulation of biomass gasification with a hybrid neural network model
B Guo, D Li, C Cheng, Z Lü, Y Shen - Bioresource Technology, 2001 - Elsevier
Gasification of several types of biomass has been conducted in a fluidized bed gasifier at
atmospheric pressure with steam as the fluidizing medium. In order to obtain the gasification …
atmospheric pressure with steam as the fluidizing medium. In order to obtain the gasification …
Machine learning-based modeling approaches for estimating pyrolysis products of varied biomass and operating conditions
The pyrolysis products of different biomass are difficult to predict due to the complex
biomass properties and wide range of operating conditions. In this study, machine learning …
biomass properties and wide range of operating conditions. In this study, machine learning …
Multi-input multi-output (MIMO) ANN and Nelder-Mead's simplex based modeling of engine performance and combustion emission characteristics of biodiesel-diesel …
Engine performance, combustion and emission characteristics of African pear (Dyacrodes
edulis) seed oil biodiesel-petrodiesel blends (B25, B50, B75 and B100) tested on four …
edulis) seed oil biodiesel-petrodiesel blends (B25, B50, B75 and B100) tested on four …