A thorough assessment of mineral carbonation of steel slag and refractory waste DOI Creative Commons

Santiago Capelo-Avilés,

Raiana Tomazini de Oliveira,

Irene I. Gallo Stampino

et al.

Journal of CO2 Utilization, Journal Year: 2024, Volume and Issue: 82, P. 102770 - 102770

Published: April 1, 2024

Escalating industrial CO2 emissions necessitate innovative carbon capture and utilization strategies. This study explores the potential of mineral-carbonation steelmaking slags, particularly White Slag (WS) various Refractory Wastes (RWs), to mitigate valorize wastes. Experiments were performed with waste materials from production lines at CELSA (Barcelona, Spain). We delved into direct aqueous carbonation, evaluating performance characteristics these wastes under different experimental conditions. Our findings reveal that all slags can effectively sequester CO2. process is effective not only for pure but also diluted flue gases mild conditions (≤ 100 ºC, ≤ 6 bar). Specifically, WS exhibited peak sequestration capacities (SC) 359.79 gCO2/kgslag (pure CO2) 276.65 (diluted gas). In contrast, RWs presented kinetic, reaching a maximum SC 311 after prolonged times. Given large inhomogeneity RWs, individual analysis distinct RW fractions revealed significant variations in carbonation performance. Tundish highest capacity, emphasizing importance source mineral composition carbonation. Chemical morphological evaluations confirmed transformation CaO CaCO3, MgO remaining largely inert. Additionally, indicated environmental benefits by reducing mobility toxic metals, Pb, suggesting an ancillary avenue treatment. underscores utility mineralization as dual-benefit approach within circular economy framework, offering insights its application sustainable management emission reduction steel industry.

Language: Английский

Green entrepreneurship and digitalization enabling the circular economy through sustainable waste management - An exploratory study of emerging economy DOI Open Access
Sourav Mondal, Saumya Singh, Himanshu Gupta

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 422, P. 138433 - 138433

Published: Aug. 18, 2023

Language: Английский

Citations

69

Modern computing: Vision and challenges DOI Creative Commons
Sukhpal Singh Gill, Huaming Wu,

Panos Patros

et al.

Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: 13, P. 100116 - 100116

Published: Jan. 8, 2024

Language: Английский

Citations

68

The effects of digital technology application and supply chain management on corporate circular economy: A dynamic capability view DOI
Sai Yuan, Xiongfeng Pan

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 341, P. 118082 - 118082

Published: May 2, 2023

Language: Английский

Citations

65

Removal of Cd(II) and Pb(II) from synthetic wastewater using Rosa damascena waste as a biosorbent: An insight into adsorption mechanisms, kinetics, and thermodynamic studies DOI
Batool Fatima, Ayesha Mohyuddin, Adnan Amjad

et al.

Chemical Engineering Science, Journal Year: 2023, Volume and Issue: 280, P. 119072 - 119072

Published: July 11, 2023

Language: Английский

Citations

57

Environmental impacts of food waste management technologies: A critical review of life cycle assessment (LCA) studies DOI
Batool Fatima, Tonni Agustiono Kurniawan, Ayesha Mohyuddin

et al.

Trends in Food Science & Technology, Journal Year: 2023, Volume and Issue: 143, P. 104287 - 104287

Published: Dec. 6, 2023

Language: Английский

Citations

55

Digital empowerment and win-win co-operation for green and low-carbon industrial development: Analysis of regional differences based on GMM-ANN intelligence models DOI
Kaisheng Di, Weidong Chen, Qiumei Shi

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 445, P. 141332 - 141332

Published: Feb. 17, 2024

Language: Английский

Citations

51

Implications of climate change on water quality and sanitation in climate hotspot locations: A case study in Indonesia DOI Creative Commons
Tonni Agustiono Kurniawan, Erick R. Bandala, Mohd Hafiz Dzarfan Othman

et al.

Water Science & Technology Water Supply, Journal Year: 2024, Volume and Issue: 24(2), P. 517 - 542

Published: Jan. 24, 2024

Abstract Southeast Asia is vulnerable to climate change with over half of its population already being impacted by drought, flooding, and rise in sea levels recently. This work reviews the current water resource challenges Indonesia, prone rising impacts change. A baseline assessment Indonesia's drinking resources related original sources presented. In response a growing concern chronic that undermine supply nationwide, this study analyses safety supervision. To accomplish this, literature survey (100 studies published during 2000–2023 period) was performed identify regional groundwater sustainability security issues. Among main findings study, only 10% rainfall infiltrates groundwater, while 70% rivers are heavily polluted domestic waste. During period, availability decreased 1,200 m3/year 2020, 35% economically feasible for reuse. The deficit Indonesia estimated be 5.5 hm3/year roughly 67% population's demand satisfied 2021. Although might fulfilled private vendors, supply/demand forecasts 2030 suggest gap could not closed increasing supply.

Language: Английский

Citations

29

The hidden concept and the beauty of multiple “R” in the framework of waste strategies development reflecting to circular economy principles DOI
Antonis A. Zorpas

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 952, P. 175508 - 175508

Published: Aug. 15, 2024

Language: Английский

Citations

26

Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild DOI Creative Commons

Diani Sirimewan,

Milad Bazli, Sudharshan N. Raman

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 351, P. 119908 - 119908

Published: Jan. 1, 2024

The construction industry generates a substantial volume of solid waste, often destinated for landfills, causing significant environmental pollution. Waste recycling is decisive in managing waste yet challenging due to labor-intensive sorting processes and the diverse forms waste. Deep learning (DL) models have made remarkable strides automating domestic recognition sorting. However, application DL recognize derived from construction, renovation, demolition (CRD) activities remains limited context-specific studies conducted previous research. This paper aims realistically capture complexity streams CRD context. study encompasses collecting annotating images real-world, uncontrolled environments. It then evaluates performance state-of-the-art automatically recognizing in-the-wild. Several pre-trained networks are utilized perform effectual feature extraction transfer during model training. results demonstrated that models, whether integrated with larger or lightweight backbone can composition in-the-wild which useful automated outcome emphasized applicability across various industrial domains, thereby contributing resource recovery encouraging management efforts.

Language: Английский

Citations

22

A comprehensive review of the resource efficiency and sustainability in biofuel production from industrial and agricultural waste DOI
Christopher Selvam Damian,

Yuvarajan Devarajan,

Ravikumar Jayabal

et al.

Journal of Material Cycles and Waste Management, Journal Year: 2024, Volume and Issue: 26(3), P. 1264 - 1276

Published: Feb. 29, 2024

Language: Английский

Citations

20