Kinetic modeling and optimization of parameters for biomass pyrolysis: A comparison of different lignocellulosic biomass-Reference-Cited by-同舟云学术

Kinetic modeling and optimization of parameters for biomass pyrolysis: A comparison of different lignocellulosic biomass

Published:2018-11-22 Issue:14 Volume:41 Page:1690-1700
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Mahmood Hamayoun¹,Ramzan Naveed²,Shakeel Ahmad¹³^ORCID,Moniruzzaman Muhammad⁴,Iqbal Tanveer¹,Kazmi Mohsin Ali¹,Sulaiman Muhammad¹

Affiliation:

1. Department of Chemical, Polymer & Composite Materials Engineering, University of Engineering & Technology Lahore, KSK Campus, Lahore, Pakistan

2. Department of Chemical Engineering, University of Engineering & Technology Lahore, Lahore, Pakistan

3. Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Rivers, Ports, Waterways and Dredging, Delft University of Technology, Delft, The Netherlands

4. Department of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://tandfonline.com/doi/pdf/10.1080/15567036.2018.1549144

Reference27 articles.

1. A review on operating parameters for optimum liquid oil yield in biomass pyrolysis

2. Modeling, simulation and estimation of optimum parameters in pyrolysis of biomass

3. A unified correlation for estimating HHV of solid, liquid and gaseous fuels

4. Sustainable Biomass Production

5. Global Energy Sources, Energy Usage, and Future Developments

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes;Energies;2024-06-21

2. Enhancing pyrolysis process monitoring and prediction for biomass: A machine learning approach;Fuel;2024-04

3. Thermokinetics and synergistic effect analysis of peat-lignite coal co-pyrolysis;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2024-02-22

4. Thermo-kinetic Study of Genetically Different Carbon-Source Materials;ACS Omega;2023-10-05

5. Application of machine learning methods for lignocellulose biomass pyrolysis: Activation energy prediction from preliminary analysis and conversion degree;Fuel;2023-07