Characterization of the Structure of Rice and Wheat Straw Pretreated with Trichoderma sp. AH DOI Creative Commons

Chuan-Yong Yan,

Liang Xin,

Quan-Xi Zheng

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(47), P. 46743 - 46750

Published: Nov. 15, 2024

Trichoderma sp. AH pretreatment (PT) enhances the conversion and selectivity of RS WS in supercritical methanolysis. In this work, we investigated how AH-containing PT affected structure wheat straw (WS) rice (RS). The enhanced methanolysis was mostly ascribed to structural changes during based on thorough investigations by thermogravimetry/differential thermogravimetry (TG/DTG), X-ray diffraction (XRD), photoelectron spectroscopy (XPS). TG/DTG study revealed that could only partially degrade without significantly changing makeup their group. is effective at breaking because XRD research showed it somewhat alter crystal WS, decreasing crystallinity. primary way affects decrystallization cellulose hemicelluloses into an amorphous material. comparative concentrations certain molecules are altered PT, according XPS examination these compounds. efficient biomass liquefaction preparation minimizes carbohydrate loss disrupting biomass.

Language: Английский

Obtaining high H2-rich syngas yield and carbon conversion efficiency from biomass gasification: From characterization to process optimization using machine learning with experimental validation DOI
Kaushik Kundu,

Avan Kumar,

Hariprasad Kodamana

et al.

Fuel, Journal Year: 2024, Volume and Issue: 378, P. 132931 - 132931

Published: Aug. 31, 2024

Language: Английский

Citations

5
Enhanced co-pyrolysis of textile and leather waste with Ca/Fe-enriched sludge ash: Catalytic effect on thermal behavior, volatile composition, and biochar formation DOI

Yanjun Hu,

Zhipeng Xia,

Xu Wang

et al.

Fuel, Journal Year: 2024, Volume and Issue: 373, P. 132272 - 132272

Published: July 4, 2024

Language: Английский

Citations

4
Prediction of product yields and heating value of bio-oil from biomass fast pyrolysis: Explainable predictive modeling and evaluation DOI
Longfei Li, Zhongyang Luo,

Liwen Du

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136087 - 136087

Published: April 1, 2025

Language: Английский

Citations

0
Kinetics, reaction mechanism and product distribution of lignocellulosic biomass pyrolysis using triple-parallel reaction model, combined kinetics, Py-GC/MS, and artificial neural networks DOI Creative Commons

Chaowei Ma,

Yong Yu, Cheng Tan

et al.

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 224, P. 120308 - 120308

Published: Dec. 16, 2024

Language: Английский

Citations

2
Dynamical Sphere Regrouping Particle Swarm Optimization Programming: An Automatic Programming Algorithm Avoiding Premature Convergence DOI Creative Commons
Martín Montes Rivera, Carlos Guerrero-Méndez, Daniela López-Betancur

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(19), P. 3021 - 3021

Published: Sept. 27, 2024

Symbolic regression plays a crucial role in machine learning and data science by allowing the extraction of meaningful mathematical models directly from without imposing specific structure. This level adaptability is especially beneficial scientific engineering fields, where comprehending articulating underlying relationships just as important making accurate predictions. Genetic Programming (GP) has been extensively utilized for symbolic demonstrated remarkable success diverse domains. However, GP’s heavy reliance on evolutionary mechanisms makes it computationally intensive challenging to handle. On other hand, Particle Swarm Optimization (PSO) performance numerical optimization with parallelism, simplicity, rapid convergence. These attributes position PSO compelling option Automatic (AP), which focuses automatic generation programs or models. (PSP) emerged an alternative (GP), emphasis harnessing efficiency regression. PSP remains unsolved due high-dimensional search spaces local optimal regions AP, traditional can encounter issues such premature convergence stagnation. To tackle these challenges, we introduce Dynamical Sphere Regrouping (DSRegPSOP), innovative implementation that integrates DSRegPSO’s dynamical sphere regrouping momentum conservation mechanisms. DSRegPSOP specifically developed deal large-scale, featuring numerous optima, thus proving effective behavior tasks. We assess generating 10 expressions mapping points functions varying complexity, including noise cost evaluation. Moreover, also evaluate its using real-world datasets. Our results show effectively addresses shortcomings producing entirely generated AP achieve accuracy similar algorithms optimized tasks involving structures. Additionally, combines benefits PSO.

Language: Английский

Citations

1
Prediction of Chemical Composition of Gas Combustion Products from Thermal Waste Conversion DOI Open Access
Magdalena Skrzyniarz, S. Morel, J. Rzącki

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(12), P. 2728 - 2728

Published: Dec. 2, 2024

The current global energy crisis is driving the need to search for alternative raw materials and fuels that will be able ensure continuity of strategic industries, such as steel industry. A chance reduce consumption traditional (e.g., natural gas) utilise potential gases from thermal conversion waste, and, in particular, pyrolysis gas. Unfortunately, despite its high calorific value, this gas not always suitable direct, energy-related use. limitation type waste subjected pyrolysis, particularly plastics, rubber textiles. Due above, article proposes co-combustion a ratio 1:10 with pusher reheating furnace employed heat charge before forming. chemical composition flue generated during combustion alone various wastes was modelled, namely, two types refuse-derived fuel (RDF) mixture pine chips polypropylene alder polypropylene. calculations were performed using Ansys Chemkin-Pro software (ver. 2021 R1). computer simulations showed addition most analysed variants did significantly affect gases. For biomass (PP), higher concentrations CO H2 unburned hydrocarbons observed than other mixtures. reason differences explained by conducting formation path analysis sensitivity selected products.

Language: Английский

Citations

1
Measurement of Dielectric Characteristics of Bulk Cellulose-containing Materials at a Frequency of 2.45GHz DOI
A. А. Vikharev, A. V. Gromov,

T. O. Krapivnitckaia

et al.

2022 Photonics & Electromagnetics Research Symposium (PIERS), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 4

Published: April 21, 2024

Language: Английский

Citations

0
Characterization of the Structure of Rice and Wheat Straw Pretreated with Trichoderma sp. AH DOI Creative Commons

Chuan-Yong Yan,

Liang Xin,

Quan-Xi Zheng

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(47), P. 46743 - 46750

Published: Nov. 15, 2024

Trichoderma sp. AH pretreatment (PT) enhances the conversion and selectivity of RS WS in supercritical methanolysis. In this work, we investigated how AH-containing PT affected structure wheat straw (WS) rice (RS). The enhanced methanolysis was mostly ascribed to structural changes during based on thorough investigations by thermogravimetry/differential thermogravimetry (TG/DTG), X-ray diffraction (XRD), photoelectron spectroscopy (XPS). TG/DTG study revealed that could only partially degrade without significantly changing makeup their group. is effective at breaking because XRD research showed it somewhat alter crystal WS, decreasing crystallinity. primary way affects decrystallization cellulose hemicelluloses into an amorphous material. comparative concentrations certain molecules are altered PT, according XPS examination these compounds. efficient biomass liquefaction preparation minimizes carbohydrate loss disrupting biomass.

Language: Английский

Citations

0