Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis

This study develops a graphical decision-making tool inspired by the break-even concept. It facilitates the selection of biomass utilisation where the highest possible profit and lowest GHG emissions indicate the optimal choice. The GHG intensity (kg CO2eq/MWh) and GHG price (USD/kg CO2eq) comprise...

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Main Authors: van Fan, Yee, Klemeš, Jiří Jaromír, Tan, Raymond Girard R., Varbanov, Petar S.
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3307
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-43042022-11-19T08:40:34Z Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis van Fan, Yee Klemeš, Jiří Jaromír Tan, Raymond Girard R. Varbanov, Petar S. This study develops a graphical decision-making tool inspired by the break-even concept. It facilitates the selection of biomass utilisation where the highest possible profit and lowest GHG emissions indicate the optimal choice. The GHG intensity (kg CO2eq/MWh) and GHG price (USD/kg CO2eq) comprise the y-axis and x-axis of the Break-even Based Decision Making (BBDM) tool. The applicability of the tool is demonstrated by a case study where the biomass (switchgrass and wheat straw) is treated with slow pyrolysis for energy generation and/or biochar production. Burning for electricity is generally a preferable option, especially for countries with high GHG intensity. Biochar application as a form of carbon sequestration is suggested at low GHG intensity. This application becomes the preferred option when the GHG price is higher than 0.03 USD/kg CO2eq for switchgrass and higher than 0.01 USD/kg CO2eq for wheat straw. Wheat straw, as agricultural waste, has the advantage of lower GHG footprint while switchgrass offers a higher energy output. In general, the choice of the best use of biomass can be different under different circumstances. The developed tool is able to provide a rigorous basis for decision support when the GHG intensity and GHG price are defined. Copyright © 2019, AIDIC Servizi S.r.l. 2019-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3307 info:doi/10.3303/CET1976004 Faculty Research Work Animo Repository Biomass energy Pyrolysis Carbon sequestration 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 Biomass energy
Pyrolysis
Carbon sequestration
Chemical Engineering
spellingShingle Biomass energy
Pyrolysis
Carbon sequestration
Chemical Engineering
van Fan, Yee
Klemeš, Jiří Jaromír
Tan, Raymond Girard R.
Varbanov, Petar S.
Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis
description This study develops a graphical decision-making tool inspired by the break-even concept. It facilitates the selection of biomass utilisation where the highest possible profit and lowest GHG emissions indicate the optimal choice. The GHG intensity (kg CO2eq/MWh) and GHG price (USD/kg CO2eq) comprise the y-axis and x-axis of the Break-even Based Decision Making (BBDM) tool. The applicability of the tool is demonstrated by a case study where the biomass (switchgrass and wheat straw) is treated with slow pyrolysis for energy generation and/or biochar production. Burning for electricity is generally a preferable option, especially for countries with high GHG intensity. Biochar application as a form of carbon sequestration is suggested at low GHG intensity. This application becomes the preferred option when the GHG price is higher than 0.03 USD/kg CO2eq for switchgrass and higher than 0.01 USD/kg CO2eq for wheat straw. Wheat straw, as agricultural waste, has the advantage of lower GHG footprint while switchgrass offers a higher energy output. In general, the choice of the best use of biomass can be different under different circumstances. The developed tool is able to provide a rigorous basis for decision support when the GHG intensity and GHG price are defined. Copyright © 2019, AIDIC Servizi S.r.l.
format text
author van Fan, Yee
Klemeš, Jiří Jaromír
Tan, Raymond Girard R.
Varbanov, Petar S.
author_facet van Fan, Yee
Klemeš, Jiří Jaromír
Tan, Raymond Girard R.
Varbanov, Petar S.
author_sort van Fan, Yee
title Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis
title_short Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis
title_full Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis
title_fullStr Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis
title_full_unstemmed Graphical break-even based decision-making tool (BBDM) to minimise GHG footprint of biomass utilisation: Biochar by pyrolysis
title_sort graphical break-even based decision-making tool (bbdm) to minimise ghg footprint of biomass utilisation: biochar by pyrolysis
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/3307
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