Challenges and opportunities in Machine learning for bioenergy crop yield Prediction: A review DOI

Joseph Lepnaan Dayil,

Olugbenga Akande, Alaa El Din Mahmoud

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 73, P. 104057 - 104057

Published: Nov. 25, 2024

Language: Английский

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

12

Machine learning-based exploration of biochar for environmental management and remediation DOI
Burcu Oral,

Ahmet Coşgun,

M. Erdem Günay

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 360, P. 121162 - 121162

Published: May 14, 2024

Language: Английский

Citations

8

Machine learning solutions for enhanced performance in plant-based microbial fuel cells DOI
Tuğba Gürbüz, M. Erdem Günay, Niyazi Alper Tapan

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 78, P. 1060 - 1069

Published: July 2, 2024

Language: Английский

Citations

4

Leveraging Municipal Solid Waste Management with Plasma Pyrolysis and IoT: Strategies for Energy Byproducts and Resource Recovery DOI Open Access
Yi Li,

Yanbei Duan,

Zelong Wang

et al.

Processes, 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

0

Advancements in artificial neural networks and fast pyrolysis of biomass processing: A comprehensive review and a bibliometric analysis DOI

Khaoula Laouidi,

Sanae Habchi, Casimir Kalibé Fanezouné

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: unknown, P. 107098 - 107098

Published: March 1, 2025

Language: Английский

Citations

0

A REVIEW ON THE USAGE OF BIOCHAR AS AN ALTERNATIVE REDUCTANT IN THE PYROMETALLURGICAL TREATMENT OF ORES DOI

Residence Malatji,

Michel Kalenga WA KALENGA, K.D. Nyembwe

et al.

International 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

0

Explainable machine learning analysis of tri-reforming of biogas for sustainable syngas production DOI

Ahmet Coşgun,

M. Erdem Günay, Ramazan Yıldırım

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 127, P. 595 - 607

Published: April 15, 2025

Language: Английский

Citations

0

Machine Learning–Based Analysis of Sustainable Biochar Production Processes DOI

Ahmet Coşgun,

Burcu Oral, M. Erdem Günay

et al.

BioEnergy Research, Journal Year: 2024, Volume and Issue: 17(4), P. 2311 - 2327

Published: Aug. 10, 2024

Language: Английский

Citations

0

Re-routing lignocellulosic biomass for the generation of bioenergy and other commodity fractionation in a (Bio)electrochemical system to treat sewage wastewater DOI

Renju,

Rajesh Singh

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 222, P. 119664 - 119664

Published: Sept. 19, 2024

Language: Английский

Citations

0

Challenges and opportunities in Machine learning for bioenergy crop yield Prediction: A review DOI

Joseph Lepnaan Dayil,

Olugbenga Akande, Alaa El Din Mahmoud

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 73, P. 104057 - 104057

Published: Nov. 25, 2024

Language: Английский

Citations

0