Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 73, P. 104057 - 104057
Published: Nov. 25, 2024
Language: Английский
Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 73, P. 104057 - 104057
Published: Nov. 25, 2024
Language: Английский
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
12Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 360, P. 121162 - 121162
Published: May 14, 2024
Language: Английский
Citations
8International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 78, P. 1060 - 1069
Published: July 2, 2024
Language: Английский
Citations
4Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 321 - 321
Published: Jan. 24, 2025
The escalating challenges of municipal solid waste (MSW) management, exacerbated by the classification MSW as hazardous due to presence heavy metals (HMs) and toxic compounds, necessitate innovative treatment strategies. Plasma pyrolysis has emerged a promising technology for converting into valuable energy byproducts, such syngas, bio-oil, slag, while significantly reducing volume. However, maintaining optimal operational parameters during plasma process remains complex challenge that can adversely affect both efficiency quality quantity outputs. To address this issue, integration Internet Things (IoT) presents transformative approach. By leveraging IoT technologies, real-time monitoring advanced data analytics be employed optimize conditions systems, ensuring consistent performance maximizing resource recovery. This review explores synergistic novel strategy management. slag from efficiently channeled anaerobic digestion (AD) promoting recovery through biogas production generation nutrient-rich digestate. synergy not only mitigates environmental impacts associated with traditional disposal methods but also paves way sustainable Ultimately, comprehensive framework exploiting in addressing pressing issues MSW, thereby fostering circular economy waste-to-energy solutions.
Language: Английский
Citations
0Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: unknown, P. 107098 - 107098
Published: March 1, 2025
Language: Английский
Citations
0International Multidisciplinary Scientific GeoConference SGEM ..., Journal Year: 2025, Volume and Issue: 24, P. 75 - 84
Published: Feb. 15, 2025
Carbon emission has increasingly become a topic of the day. Carbothermic reduction processes and energy generating units have for years used generic carbonaceous materials contributing to high carbon pollution. Ongoing investigations are showing good prospects. This paper corroborates comprehensive review on potential biochar as an innovative sustainable alternative traditional sources in pyrometallurgical processes, addressing environmental ithreats caused by fossil fuel use, such greenhouse gas emissions global warming, urgent need greener reductants metallurgical operations. Derived from various biomass through pyrolysis, exhibits unique chemical physical properties that make it promising reductant high-temperature operations, particularly ferroalloy production metal recovery slags. The delves into characterization biochar, examining its composition, functional groups, attributes surface area, porosity, thermal stability. These contribute biochar's enhanced reactivity efficiency processes. Multiple studies demonstrated superiority over conventional like coke coal applications, including ferrosilicon production, copper slag cleaning, iron ore reduction. Biochar's porous structure facilitates better gas-solid interactions diffusion reducing gases, leading more uniform complete reactions. Its higher reactivity, lower activation energy, catalytic effects inherent mineral matter further enhance performance also highlights benefits using renewable resource, footprint However, effectiveness can vary depending source material conditions, necessitating careful selection tailoring specific applications. Overall, this underscores significant revolutionize offering improved efficiency, consumption, sustainability industry. only wood woody well herbaceous reviewed discussed.
Language: Английский
Citations
0International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 127, P. 595 - 607
Published: April 15, 2025
Language: Английский
Citations
0BioEnergy Research, Journal Year: 2024, Volume and Issue: 17(4), P. 2311 - 2327
Published: Aug. 10, 2024
Language: Английский
Citations
0Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 222, P. 119664 - 119664
Published: Sept. 19, 2024
Language: Английский
Citations
0Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 73, P. 104057 - 104057
Published: Nov. 25, 2024
Language: Английский
Citations
0