Data-driven identification and model predictive control of biomass gasification process for maximum energy production

F Elmaz, Ö Yücel - Energy, 2020 - Elsevier
Biomass gasification is an environment-friendly energy conversion process that utilizes bio-
waste materials to produce combustible gases. In recent literature, machine learning-based …

Predictive modeling of biomass gasification with machine learning-based regression methods

F Elmaz, Ö Yücel, AY Mutlu - Energy, 2020 - Elsevier
Biomass gasification is a promising power generation process due to its ability to utilize
waste materials and similar renewable energy sources. Predicting the outcomes of this …

Biomass to energy: A machine learning model for optimum gasification pathways

MV Gil, KM Jablonka, S Garcia, C Pevida, B Smit - Digital Discovery, 2023 - pubs.rsc.org
Biomass is a highly versatile renewable resource for decarbonizing energy systems.
Gasification is a promising conversion technology that can transform biomass into multiple …

Physics-informed machine learning methods for biomass gasification modeling by considering monotonic relationships

S Ren, S Wu, Q Weng - Bioresource Technology, 2023 - Elsevier
Abstract Machine learning methods have recently shown a broad application prospect in
biomass gasification modeling. However, a significant drawback of the machine learning …

Artificial intelligence methods for modeling gasification of waste biomass: a review

F Alfarra, HK Ozcan, P Cihan, A Ongen… - Environmental …, 2024 - Springer
Gasification is a highly promising thermochemical process that shows considerable potential
for the efficient conversion of waste biomass into syngas. The assessment of the feasibility …

[HTML][HTML] Dynamic modelling of the biomass gasification process in a fixed bed reactor by using the artificial neural network

D Cerinski, J Baleta, H Mikulčić, R Mikulandrić… - Cleaner Engineering …, 2020 - Elsevier
Biomass gasification enables the transformation of biomass feedstock into syngas suitable
for further energy conversions. Mathematical models of gasification are not only valuable …

[HTML][HTML] Interpretable machine learning to model biomass and waste gasification

S Ascher, X Wang, I Watson, W Sloan, S You - Bioresource Technology, 2022 - Elsevier
Abstract Machine learning has been regarded as a promising method to better model
thermochemical processes such as gasification. However, their black box nature can limit …

[HTML][HTML] Development of a neural network model predictive controller for the fluidized bed biomass gasification process

IK Faridi, E Tsotsas, W Heineken, M Koegler… - Chemical Engineering …, 2024 - Elsevier
In this study, an advanced controller for the fluidized bed biomass gasification (FBG) process
is proposed. The controller is based on the model predictive control method, utilizing a long …

Biomass gasification and applied intelligent retrieval in modeling

M Meena, H Kumar, ND Chaturvedi, AA Kovalev… - Energies, 2023 - mdpi.com
Gasification technology often requires the use of modeling approaches to incorporate
several intermediate reactions in a complex nature. These traditional models are …

Machine learning methods for modeling conventional and hydrothermal gasification of waste biomass: A review

GC Umenweke, IC Afolabi, EI Epelle… - Bioresource Technology …, 2022 - Elsevier
Conventional and hydrothermal gasification are promising thermochemical technologies for
the production of syngas from waste biomass. Both gasification processes are complex, with …