Data challenges in optimizing biochar-based carbon sequestration

被引:36
|
作者
Tan, Raymond R. [1 ]
机构
[1] De La Salle Univ, Dept Chem Engn, 2401 Taft Ave, Manila 0922, Philippines
来源
关键词
Biochar; Negative emissions technology (NET); Carbon banking; Carbon management network (CMN); Optimization; DEVELOPING-COUNTRIES; BIG DATA; SYSTEMS; ENERGY; OPTIMIZATION; TECHNOLOGIES; CCS;
D O I
10.1016/j.rser.2019.01.032
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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).
引用
收藏
页码:174 / 177
页数:4
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