Feng Gao^1,2,*, Liang Bao³, Qin Wang⁴

Journal of Renewable Materials, Vol.11, No.6, pp. 2771-2786, 2023, DOI:10.32604/jrm.2023.027325

Abstract Gasification of organic waste represents one of the most effective valorization pathways for renewable energy and resources recovery, while this process can be affected by multi-factors like temperature, feedstock, and steam content, making the product’s prediction problematic. With the popularization and promotion of artificial intelligence such as machine learning (ML), traditional artificial neural networks have been paid more attention by researchers from the data science field, which provides scientific and engineering communities with flexible and rapid prediction frameworks in the field of organic waste gasification. In this work, critical parameters including temperature, steam ratio, and feedstock during gasification of organic… More >

Samayan Narayanamoorthy¹, Arumugam Anuja¹, J. V. Brainy¹, Thangaraj Manirathinam¹, Subramaniam Pragathi¹, Thirumalai Nallasivan Parthasarathy¹, Daekook Kang^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1229-1261, 2022, DOI:10.32604/cmes.2022.019442

Abstract As the quantity of garbage created every day rises, solid waste management has become the world’s most important issue. As a result, improper solid waste disposal and major sanitary issues develop, which are only detected after they have become dangerous. Due to the system’s lockdown during the COVID-19 pandemic, this scenario became much more uncertain. We are at the stage to develop and execute effective waste management procedures, as well as long-term policies and forward-thinking programmes that can work even in the most adverse of scenarios. We incorporate major solid waste (organic and inorganic solid wastes) approaches that actually perform… More >

Taein Ohm^1*, Jongseong Chae¹, Younghyo Kim¹, Seunghyun Moon²

Journal of Renewable Materials, Vol.5, Suppl.1, pp. 13-21, 2017, DOI:10.7569/JRM.2017.634127

Abstract With the dramatic increase in the quantity of organic wastes, economic and environmentally friendly technologies are urgently required for reducing the volume of sludge and remediating its harmful impacts. In this study, drying experiments were performed on sludge through fry-drying technology and the characteristics of the resulting fuels were investigated to identify proper methods for treating sewage sludge, wastewater sludge, swine excreta, and food waste and converting them into fuels. The four types of organic wastes were fry-dried, and the best drying conditions were found to be 140 °C for 8 min for sewage sludge and 150 °C for 10… More >

Antonio Greco*, Francesca Ferrari, Raffaella Striani, Carola Esposito Corcione

Journal of Renewable Materials, Vol.7, No.10, pp. 1023-1035, 2019, DOI:10.32604/jrm.2019.07778

Abstract This work is aimed at the development of new green composite materials through the incorporation of the solid organic waste (SOW) in a thermoplastic matrix. After being ground, the organic waste was exposed to a sterilization process, though an autoclave cycle, in order to obtain a complete removal of the bacterial activity. The SOW was found to have a high amount of water, about 65-70%, which made uneconomical its further treatment to reduce the water amount. Therefore, a water soluble polymer, poly (vinyl alcohol) (PVA) was chosen in order to produce SOW based blends. However, in order to reduce the… More >