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Data challenges in optimizing biochar-based carbon sequestration

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  • Tan, Raymond R.

Abstract

Biochar-based carbon management networks (CMNs) offer a means of achieving negative net greenhouse gas (GHG) emissions. Such systems rely on relatively mature technologies for biochar production, distribution and application by tillage; thus, the prospects for near-term scale-up, especially in developing countries with agriculture-intensive economies, are promising. The main technological gap lies in the capability to predict, optimize and monitor the actual climate change mitigation benefits. Computer-aided planning of biochar-based CMNs will be needed to maximize GHG reductions while minimizing any potential adverse environmental impacts. Such models can help decision-makers to understand and optimize the cost/benefit aspects of such systems to accelerate their commercial deployment. This paper gives a brief review of the available scientific literature, and discusses prospective areas for further research to facilitate the large-scale use of biochar as a negative emissions technology (NET).

Suggested Citation

  • Tan, Raymond R., 2019. "Data challenges in optimizing biochar-based carbon sequestration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 174-177.
  • Handle: RePEc:eee:rensus:v:104:y:2019:i:c:p:174-177
    DOI: 10.1016/j.rser.2019.01.032
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    Cited by:

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    3. Tan, R.R. & Aviso, K.B. & Ng, D.K.S., 2019. "Optimization models for financing innovations in green energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
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    7. Liza Nuriati Lim Kim Choo & Osumanu Haruna Ahmed & Nik Muhamad Nik Majid & Zakry Fitri Abd Aziz, 2021. "Pineapple Residue Ash Reduces Carbon Dioxide and Nitrous Oxide Emissions in Pineapple Cultivation on Tropical Peat Soils at Saratok, Malaysia," Sustainability, MDPI, vol. 13(3), pages 1-23, January.
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