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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Vydané v:	Sustainable production and consumption Ročník 8; s. 57 - 63
Hlavný autor:	Tan, Raymond R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2016
Predmet:	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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Abstract	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.
AbstractList	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. 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.
Author	Tan, Raymond R.
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Cites_doi	10.1016/j.energy.2013.01.045 10.1021/es902266r 10.1016/j.ces.2011.05.049 10.1002/ep.11630 10.1007/s10098-016-1218-8 10.1016/j.psep.2012.10.004 10.1016/j.envint.2015.10.018 10.1016/j.spc.2016.02.001 10.1111/gcbb.12032 10.1016/j.cherd.2013.08.019 10.1038/ncomms1053 10.1007/s10098-014-0721-z 10.1016/j.spc.2015.06.005 10.1016/j.psep.2015.11.007 10.1016/j.cherd.2009.07.012 10.1016/j.psep.2012.10.005 10.1007/s10098-016-1113-3 10.1016/j.spc.2015.06.003
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SubjectTerms	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
Title	A multi-period source–sink mixed integer linear programming model for biochar-based carbon sequestration systems
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