A multi-period source–sink mixed integer linear programming model for biochar-based carbon sequestration systems

Biochar-based systems are a potentially effective means of large-scale carbon sequestration. Such systems rely on carbonization of biomass into biochar, which can then be added to soil for the dual purpose of sequestering carbon and improving fertility. When properly deployed, these systems can pote...

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Vydáno v:Sustainable production and consumption Ročník 8; s. 57 - 63
Hlavní autor: Tan, Raymond R.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.10.2016
Témata:
Biochar
biomass
carbon
carbon footprint
Carbon sequestration
carbonization
case studies
emissions
farms
linear programming
Mixed integer linear programming
Negative emissions technology
Optimization
soil
soil quality
Source–sink model
Negative emissions technology
Mixed integer linear programming
Biochar
Carbon sequestration
Optimization
Source–sink model
ISSN:2352-5509, 2352-5509
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Shrnutí:Biochar-based systems are a potentially effective means of large-scale carbon sequestration. Such systems rely on carbonization of biomass into biochar, which can then be added to soil for the dual purpose of sequestering carbon and improving fertility. When properly deployed, these systems can potentially achieve negative emissions through the net transfer of carbon from the atmosphere into the ground. In this work, an optimization model is developed to determine the allocation of biochar streams of different quality levels to various biochar sinks, which are farms whose tolerance to impurities present in biochar are known a priori. The optimization model determines source–sink allocation of biochar so as to minimize total system carbon footprint, while ensuring that soil quality parameters for each sink are not exceeded. An illustrative case study is solved to demonstrate the use of the model. •A mixed integer linear programming (MILP) model is proposed for biochar systems.•The MILP model is based on a multi-period source–sink formulation.•A case study is presented as proof of concept.
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ISSN:2352-5509
2352-5509
DOI:10.1016/j.spc.2016.08.001