Machine learning application to predict yields of solid products from biomass torrefaction
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning application to predict yields of solid products from biomass torrefaction
Authors
Keywords
Biomass, Gradient tree boosting, Machine learning, Solid fuels, Torrefaction
Journal
RENEWABLE ENERGY
Volume 167, Issue -, Pages 425-432
Publisher
Elsevier BV
Online
2020-11-27
DOI
10.1016/j.renene.2020.11.099
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Biomass torrefaction: An overview on process parameters, economic and environmental aspects and recent advancements
- (2020) Margareta Novian Cahyanti et al. BIORESOURCE TECHNOLOGY
- Optimizing the torrefaction of pigeon pea stalk (cajanus cajan) using response surface methodology (RSM) and characterization of solid, liquid and gaseous products
- (2020) Rishikesh Kumar Singh et al. RENEWABLE ENERGY
- Torrefaction of woody biomass (Acacia nilotica): Investigation of fuel and flow properties to study its suitability as a good quality solid fuel
- (2020) Satyansh Singh et al. RENEWABLE ENERGY
- Investigation of kinetic compensation effect in lignocellulosic biomass torrefaction: Kinetic and thermodynamic analyses
- (2020) Zhiqing Zhang et al. ENERGY
- Predicting algal biochar yield using eXtreme Gradient Boosting (XGB) algorithm of machine learning methods
- (2020) Abhijeet Pathy et al. Algal Research-Biomass Biofuels and Bioproducts
- Effect of torrefaction conditions on the physicochemical characterization of agricultural waste (sugarcane bagasse)
- (2019) Sumaira Kanwal et al. WASTE MANAGEMENT
- Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
- (2019) Xinzhe Zhu et al. BIORESOURCE TECHNOLOGY
- Torrefaction of Maize Residue Pellets with Dry Flue Gas
- (2019) Thossaporn Onsree et al. BioEnergy Research
- Influence of torrefaction pretreatment on corncobs: A study on fundamental characteristics, thermal behavior, and kinetic
- (2019) Xiaojie Tian et al. BIORESOURCE TECHNOLOGY
- Predictive modeling of biomass gasification with machine learning-based regression methods
- (2019) Furkan Elmaz et al. ENERGY
- Investigation of improving the yields and qualities of pyrolysis products with combination rod-milled and torrefaction pretreatment
- (2019) Xiaopeng Bai et al. RENEWABLE ENERGY
- Catalytic torrefaction of pelletized agro-residues with Cu/Al2O3 catalysts
- (2019) Nakorn Tippayawong et al. Biomass Conversion and Biorefinery
- Minimizing tar formation whilst enhancing syngas production by integrating biomass torrefaction pretreatment with chemical looping gasification
- (2019) Yuyang Fan et al. APPLIED ENERGY
- Enabling Catalyst Discovery through Machine Learning and High-Throughput Experimentation
- (2019) Travis Williams et al. CHEMISTRY OF MATERIALS
- Non-oxidative torrefaction of biomass to enhance its fuel properties
- (2018) Ana Álvarez et al. ENERGY
- Torrefaction of densified mesocarp fibre and palm kernel shell
- (2018) Hasan Mohd Faizal et al. RENEWABLE ENERGY
- Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques
- (2018) P. J. García Nieto et al. NEURAL COMPUTING & APPLICATIONS
- Torrefaction of pomaces and nut shells
- (2015) Bor-Sen Chiou et al. BIORESOURCE TECHNOLOGY
- Effect of densification parameters on the properties of maize residue pellets
- (2015) Thanasit Wongsiriamnuay et al. BIOSYSTEMS ENGINEERING
- Production of solid fuel biochar from waste biomass by low temperature pyrolysis
- (2015) Zhengang Liu et al. FUEL
- Biomass torrefaction under different oxygen concentrations and its effect on the composition of the solid by-product
- (2012) P. Rousset et al. JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now