Challenges and opportunities for biochar to promote circular economy and carbon neutrality

Kurniawan, Tonni Agustiono; Othman, Mohd Hafiz Dzarfan; Liang, Xue; Goh, Hui Hwang; Gikas, Petros; Chong, Kok‐Keong; Chew, Kit Wayne

doi:10.1016/j.jenvman.2023.117429

Cited by 96 publications

(26 citation statements)

References 88 publications

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“…It eliminates the need for companies to host digital applications on their own servers [109]. With cloud computing, companies can provide a range of services offered by cloud service providers (CSPs) [110]. The CSPs' servers host all the company's applications.…”

Section: Prospect and Ways Forward For Digitalization In Water Treatm...mentioning

confidence: 99%

Heavy Metal Removal from Aqueous Solutions Using Biomaterials and/or Functional Composites: Recent Advances and the Way Forward in Wastewater Treatment Using Digitalization

Kurniawan

Liang

et al. 2023

J. Compos. Sci.

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Due to its low cost, over the past decades, biosorption technology has been extensively carried out to treat heavy metal-laden wastewater using biosorbents. Recent studies on heavy metal biosorption mechanisms and the simulation of mathematical modeling on the biosorption process have enhanced scientific understanding about the binding between target metal cations and the functional group on different surfaces of biomasses as a biosorbent. However, so far, none have provided an overview of mechanistic studies on heavy metal removal from aqueous solutions using inexpensive biosorbents. To close this knowledge gap, this article discusses the applicability of the surface complexation (SC) model for biosorption of a target pollutant. Insightful ideas and directions of future research in wastewater treatment using digital technologies are also presented. It was conclusive from a literature survey of 115 articles (1987–2023) that Aspergillus niger, Penicillium chrysogenum, and Rhizopus nigricans represent biomaterials that have substantial adsorption capacities, up to 200 mg of Au(I)/g, 142 mg of Th/g, and 166 mg of Pb(II)/g, respectively. The metal-binding mechanisms involved include ion exchange, surface complexation, and micro-precipitation. Ion exchange is the only mechanisms that play key roles in sequestering heavy metal using fungal cells with chitin and chitosan. X-ray energy dispersion (XED) and scanning electron microscopy (SEM) analysis were used to evaluate biosorption mechanisms of the inorganic pollutants using physico-chemical characterization on the cell surfaces of the biomass. As metal removal by the biosorbent is affected by its surface properties, surface complexation also occurs. The affinity of the surface complexation depends on the type of functional groups such as phosphate, carboxyl, and amine.

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Section: Prospect and Ways Forward For Digitalization In Water Treatm...mentioning

confidence: 99%

Heavy Metal Removal from Aqueous Solutions Using Biomaterials and/or Functional Composites: Recent Advances and the Way Forward in Wastewater Treatment Using Digitalization

Kurniawan

Liang

et al. 2023

J. Compos. Sci.

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“…In the case of large-scale deployment of BECCS, support for technological development will be needed (Gough et al 2018a, Zetterberg et al 2021. In the biochar case, difficulties related to applying universal technical standards across different countries and regions is hindering uptake, since production methods and biomass sources and their effects differ widely (Joseph et al 2021, Kurniawan et al 2023. Lack of policy support for the long-term investment is reducing the willingness of farmers and land managers to invest in many LMTs such as agroforestry (Neef and Heidhues 1994, Gosling et…”

Section: Policymentioning

confidence: 99%

Potentials and barriers to land-based mitigation technologies and practices (LMTs)—a review

Karki,

Lieu,

Xylia

et al. 2023

Environ. Res. Lett.

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Land-based mitigation technologies and practices (LMTs) are critical for achieving the Paris Agreement’s aim of avoiding dangerous climate change by limiting the rise in average global surface temperatures. We developed a detailed two-level classification and analysis of barriers to the adoption and scaling up of LMTs. The review suggests that afforestation/reforestation and forest management are LMTs with wide application and high potential across all continents. BECCS (bio-energy with carbon capture and storage) and biochar have a higher potential in higher-income countries in the short term due to the availability of technology, funding, and existing low-cost biomass value chains. Although most LMTs can be cost-effective across multiple world regions, limited knowledge concerning their implementation and a lack of financing appear to be the main barriers to large-scale deployment. Without considering gender and the rights of marginalised and indigenous communities, the large-scale deployment of LMTs can further aggravate the existing inequalities. Therefore, the social and institutional implications of LMTs also need to be better understood to improve public acceptance and reduce negative impacts. A system approach is necessary to balance the ambitious land-based mitigation targets with the socioeconomic and broader environmental goals.

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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%

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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Challenges and opportunities for biochar to promote circular economy and carbon neutrality

Cited by 96 publications

References 88 publications

Heavy Metal Removal from Aqueous Solutions Using Biomaterials and/or Functional Composites: Recent Advances and the Way Forward in Wastewater Treatment Using Digitalization

Heavy Metal Removal from Aqueous Solutions Using Biomaterials and/or Functional Composites: Recent Advances and the Way Forward in Wastewater Treatment Using Digitalization

Potentials and barriers to land-based mitigation technologies and practices (LMTs)—a review

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

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