Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph

The application of biochar to soil is a potentially significant way to achieve negative net emissions. Photosynthesis fixes carbon from the atmosphere during plant growth; subsequently, pyrolysis stabilizes the carbon in biomass into recalcitrant form, which results in long-term storage when the car...

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Main Authors: Aviso, Kathleen B., Belmonte, Beatriz A., Benjamin, Michael Francis D., Arogo, John Ismael A., Coronel, Antonio Louis O., Janairo, Christian Marco J., Foo, Dominic C.Y., Tan, Raymond Girard R.
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在線閱讀:https://animorepository.dlsu.edu.ph/faculty_research/2217
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3216/type/native/viewcontent
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-32162021-08-19T07:18:35Z Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph Aviso, Kathleen B. Belmonte, Beatriz A. Benjamin, Michael Francis D. Arogo, John Ismael A. Coronel, Antonio Louis O. Janairo, Christian Marco J. Foo, Dominic C.Y. Tan, Raymond Girard R. The application of biochar to soil is a potentially significant way to achieve negative net emissions. Photosynthesis fixes carbon from the atmosphere during plant growth; subsequently, pyrolysis stabilizes the carbon in biomass into recalcitrant form, which results in long-term storage when the carbonized product is put in soil. However, effective planning of such Biochar-based Carbon Management Networks is needed to ensure that benefits are maximized, and that adverse consequences are mitigated. The objective of this work is to develop a P-graph methodology for planning Biochar-based Carbon Management Networks, where pyrolysis plants act as sources, while the agricultural lands that receive the biochar act as sinks. Two problem variants are considered. In the first case study, the allocation of biochar is constrained by the presence of contaminants that exist naturally in the biomass or are formed during pyrolysis, such that only 72.5% of the available biochar is applied to soil. In the second case study, the distribution of biochar is limited both by the ultimate soil carbon limit, as well as annual application rates at each site; 88.9% of the available biochar is used in the optimal solution. The P-graph framework also generates near-optimal network topologies, which present alternative solutions that can be useful for the large-scale implementation of Biochar-based Carbon Management Networks. © 2019 Elsevier Ltd 2019-03-20T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2217 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3216/type/native/viewcontent Faculty Research Work Animo Repository Biochar Carbon sequestration Carbon dioxide mitigation Biomass energy Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Biochar
Carbon sequestration
Carbon dioxide mitigation
Biomass energy
Chemical Engineering
spellingShingle Biochar
Carbon sequestration
Carbon dioxide mitigation
Biomass energy
Chemical Engineering
Aviso, Kathleen B.
Belmonte, Beatriz A.
Benjamin, Michael Francis D.
Arogo, John Ismael A.
Coronel, Antonio Louis O.
Janairo, Christian Marco J.
Foo, Dominic C.Y.
Tan, Raymond Girard R.
Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph
description The application of biochar to soil is a potentially significant way to achieve negative net emissions. Photosynthesis fixes carbon from the atmosphere during plant growth; subsequently, pyrolysis stabilizes the carbon in biomass into recalcitrant form, which results in long-term storage when the carbonized product is put in soil. However, effective planning of such Biochar-based Carbon Management Networks is needed to ensure that benefits are maximized, and that adverse consequences are mitigated. The objective of this work is to develop a P-graph methodology for planning Biochar-based Carbon Management Networks, where pyrolysis plants act as sources, while the agricultural lands that receive the biochar act as sinks. Two problem variants are considered. In the first case study, the allocation of biochar is constrained by the presence of contaminants that exist naturally in the biomass or are formed during pyrolysis, such that only 72.5% of the available biochar is applied to soil. In the second case study, the distribution of biochar is limited both by the ultimate soil carbon limit, as well as annual application rates at each site; 88.9% of the available biochar is used in the optimal solution. The P-graph framework also generates near-optimal network topologies, which present alternative solutions that can be useful for the large-scale implementation of Biochar-based Carbon Management Networks. © 2019 Elsevier Ltd
format text
author Aviso, Kathleen B.
Belmonte, Beatriz A.
Benjamin, Michael Francis D.
Arogo, John Ismael A.
Coronel, Antonio Louis O.
Janairo, Christian Marco J.
Foo, Dominic C.Y.
Tan, Raymond Girard R.
author_facet Aviso, Kathleen B.
Belmonte, Beatriz A.
Benjamin, Michael Francis D.
Arogo, John Ismael A.
Coronel, Antonio Louis O.
Janairo, Christian Marco J.
Foo, Dominic C.Y.
Tan, Raymond Girard R.
author_sort Aviso, Kathleen B.
title Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph
title_short Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph
title_full Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph
title_fullStr Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph
title_full_unstemmed Synthesis of optimal and near-optimal biochar-based carbon management networks with P-graph
title_sort synthesis of optimal and near-optimal biochar-based carbon management networks with p-graph
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/2217
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3216/type/native/viewcontent
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