A study on the thermochemical conversion characteristics of biomass mixed blast furnace slag catalyst coupled in supercritical CO2/H2O atmosphere DOI

Yimeng Wei,

Qingang Xiong, Lang Lin

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121942 - 121942

Published: Nov. 1, 2024

Language: Английский

Unveiling the potential of pyrolysis-gasification for hydrogen-rich syngas production from biomass and plastic waste DOI
Rahul Mishra, Chi‐Min Shu,

Anjani R.K. Gollakota

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 321, P. 118997 - 118997

Published: Sept. 12, 2024

Language: Английский

Citations

21
An artificial intelligence study on energy, exergy, and environmental aspects of upcycling face mask waste to a hydrogen-rich syngas through a thermal conversion process DOI
Parisa Mojaver, Shahram Khalilarya

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 187, P. 1189 - 1200

Published: May 15, 2024

Language: Английский

Citations

20
The present situation, challenges, and prospects of the application of ammonia–coal co-firing technology in power plant boilers DOI
Qing Wang,

Zhongyuan Hu,

Wenbin Shao

et al.

Journal of the Energy Institute, Journal Year: 2024, Volume and Issue: 113, P. 101531 - 101531

Published: Jan. 19, 2024

Language: Английский

Citations

19
Waste to energy: An experimental study on hydrogen production from food waste gasification DOI
Ashok Kumar Koshariya,

M. Sivaram Krishnan,

S. Jaisankar

et al.

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 54, P. 1 - 12

Published: June 8, 2023

Language: Английский

Citations

39
Study on the mechanisms of hydrogen production from alkali lignin gasification in supercritical water by ReaxFF molecular dynamics simulation DOI Open Access
Jingwei Chen, Chenxi Wang,

Wenxue Shang

et al.

Energy, Journal Year: 2023, Volume and Issue: 278, P. 127900 - 127900

Published: May 20, 2023

Language: Английский

Citations

28
Mapping the landscape of clove oil as essential oil for health and wellness: A bibliometric review of advances, challenges, and future directions DOI
Nicky Rahmana Putra,

Dwila Nur Rizkiyah,

Mohd Azizi Che Yunus

et al.

Journal of Essential Oil Bearing Plants, Journal Year: 2024, Volume and Issue: 27(2), P. 300 - 326

Published: March 3, 2024

AbstractClove oil extraction has garnered increasing attention for its diverse applications, ranging from traditional medicine to the food and cosmetic industries. This paper presents a comprehensive bibliometric review aimed at mapping evolving landscape of clove research. By systematically analyzing wealth scholarly publications, advances, challenges, future directions in this field. Our analysis encompasses key dimensions, including publication trends, prolific authors institutions, prevalent research themes, methodological approaches are highlighted. The identifies notable advancements methodologies, shedding light on novel techniques innovations that have shaped landscape. Concurrently, challenges such as standardization, sustainability, economic feasibility scrutinized, providing nuanced understanding current limitations Furthermore, we delve into emerging propose avenues exploration. synthesis not only consolidates existing knowledge but also serves valuable resource researchers, practitioners, policymakers interested sustainable development extraction. Through exercise, aim guide trajectory research, fostering innovation addressing associated with vital aspect essential production.Keywords: Bibliometric Review AdvancesClove oilExtractionChallengesFuture Directions

Language: Английский

Citations

15
Machine learning for sustainable organic waste treatment: a critical review DOI Creative Commons
Rohit Gupta,

Zahra Hajabdollahi Ouderji,

Uzma Uzma

et al.

npj Materials Sustainability, Journal Year: 2024, Volume and Issue: 2(1)

Published: April 8, 2024

Abstract Data-driven modeling is being increasingly applied in designing and optimizing organic waste management toward greater resource circularity. This study investigates a spectrum of data-driven techniques for treatment, encompassing neural networks, support vector machines, decision trees, random forests, Gaussian process regression, k -nearest neighbors. The application these explored terms their capacity complex processes. Additionally, the delves into physics-informed highlighting significance integrating domain knowledge improved model consistency. Comparative analyses are carried out to provide insights strengths weaknesses each technique, aiding practitioners selecting appropriate models diverse applications. Transfer learning specialized network variants also discussed, offering avenues enhancing predictive capabilities. work contributes valuable field modeling, emphasizing importance understanding nuances technique informed decision-making various treatment scenarios.

Language: Английский

Citations

14
Developing a hybridized thermodynamic and data-driven model for catalytic supercritical water gasification of biomass for hydrogen production DOI
Mohamad Mohamadi‐Baghmolaei,

Parviz Zahedizadeh,

Mohammadsaeed Khajeh

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118302 - 118302

Published: March 29, 2024

Language: Английский

Citations

12
A comparative review on the progress of thermochemical hydrogen production technologies from agricultural waste DOI
Xinyi Zhang, Lili Huo, Zonglu Yao

et al.

Fuel, Journal Year: 2024, Volume and Issue: 366, P. 131284 - 131284

Published: Feb. 29, 2024

Language: Английский

Citations

10
Thermodynamic analysis and life cycle assessment of a new method for the preparation of ultrafine copper powders by supercritical hydrothermal synthesis integrating biomass supercritical water gasification DOI
Zhiyong Peng,

Jianghua Tian,

Runqiu Dong

et al.

Energy, Journal Year: 2025, Volume and Issue: 315, P. 134396 - 134396

Published: Jan. 1, 2025

Language: Английский

Citations

1