Circular economy-based environmental management using biochar: Driving towards sustainability

Singh, Ekta; Mishra, Rahul; Kumar, Avanish; Shukla, Sushil Kumar; Lo, Shang‐Lien; Kumar, Sunil

doi:10.1016/j.psep.2022.05.056

Cited by 50 publications

(13 citation statements)

References 218 publications

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“…[20][21][22] Aside from environmental concerns, the use of holistic bioenergy has socioeconomic benefits in terms of community development and the diversification of economies. [23][24][25] Understanding and leveraging these interconnections is essential to ensure an agile and sustainable energy future.…”

Section: Introductionmentioning

confidence: 99%

“…This two‐pronged method not only reduces reliance on fossil fuels but also conforms to the principles of the circular economy by converting organic waste into useful resources 20–22 . Aside from environmental concerns, the use of holistic bioenergy has socioeconomic benefits in terms of community development and the diversification of economies 23–25 . Understanding and leveraging these interconnections is essential to ensure an agile and sustainable energy future.…”

Section: Introductionmentioning

confidence: 99%

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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Nguyen,

Sharma,

Ağbulut

et al. 2024

Biofuels Bioprod Bioref

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Biochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine‐learning‐based forecasts, optimization, and feature selection are critical for improving biomass management techniques. In this research, we explore the influences of these techniques on the accurate forecasting of biochar yield and properties for a range of biomass sources. We emphasize the importance of the interpretability of a model, as this improves human comprehension and trust in ML predictions. Sensitivity analysis is shown to be an effective technique for finding crucial biomass characteristics that influence the synthesis of biochar. Precision prognostics have far‐reaching ramifications, influencing industries such as biomass logistics, conversion technologies, and the successful use of biomass as renewable energy. These advances can make a substantial contribution to a greener future and can encourage the development of a circular biobased economy. This work emphasizes the importance of using sophisticated data‐driven methodologies such as ML in biochar synthesis, to usher in ecologically friendly energy solutions. These breakthroughs hold the key to a more sustainable and environmentally friendly future.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Nguyen,

Sharma,

Ağbulut

et al. 2024

Biofuels Bioprod Bioref

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“…14,15 Several techniques, such as pyrolysis, hydrothermal carbonization, gasication, torrefaction and direct combustion, have been used to prepare biochar from macroalgae. 16 Among them, pyrolysis is the most commonly used and feasible technique, which is generally carried out at temperatures between 300 and 1000 °C to convert macroalgal biomass into biochar as a main by-product along with a portion of syngas and bio-oil. 17 The pyrolysis process comprises three major steps: (i) rstly, the loss of moisture content; (ii) the removal of volatile matter and breakdown of organic structures; and (iii) the slow decomposition of residual solids.…”

Section: Introductionmentioning

confidence: 99%

Macroalgae-based biochar: preparation and characterization of physicochemical properties for potential applications

Mondal,

Hinkley,

Krishnan

et al. 2024

RSC Sustain.

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“…Made from organic waste through pyrolysis, biochar offers a circular economy approach to food security and environmental issues by enriching soil, reducing waste, mitigating climate change, and even generating energy [9][10][11][12][13][14]. By improving nutrient holding, soil structure, and microbial activity, incorporating biochar into soil offers a promising solution for boosting plant growth and yield.…”

Section: Introductionmentioning

confidence: 99%

Effects of Biochar Type on the Growth and Harvest Index of Onion (Allium cepa L.)

Cedeño,

Saldarriaga,

Cedeño

et al. 2024

AgriEngineering

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This study examined using peanut shells, rice husks, and cocoa husks as soil conditioners to boost yields in Allium cepa var. Alvara onions. Three types of biochar and four application rates (1%, 1.5%, 3%, and 5%) were compared to a control with no biochar. The biochars had different nutrient makeups, with cocoa husk biochar (CHB) containing the most essential elements. While overall plant growth (height, leaves, and roots) was not significantly affected (p > 0.05) by any biochar type compared to the control, some plant parts responded differently. CHB (5%) and peanut husk biochar (PHB) (1%) yielded the tallest onion plants (71 and 65 cm), while 1% rice and cocoa biochar resulted in the shortest (below 42 cm). PHB (3% and 5%) produced the longest roots (9 cm), while 1.5% rice husk biochar (RHB) had the shortest. Biochar application had no significant effect on leaf count. However, specific application rates of RHB and PHB increased the harvest index (HI), indicating more efficient yield allocation. HI values > 0.85 were obtained with specific biochar rates (e.g., 1.0–1.5% PHB, 1.5–5% RHB, or 5.0% CHB).

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Circular economy-based environmental management using biochar: Driving towards sustainability

Cited by 50 publications

References 218 publications

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Macroalgae-based biochar: preparation and characterization of physicochemical properties for potential applications

Effects of Biochar Type on the Growth and Harvest Index of Onion (Allium cepa L.)

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