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Graphical Break-Even Based Decision-Making Tool (BBDM) to Minimise GHG Footprint of Biomass Utilisation: Biochar by Pyrolysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU135961" target="_blank" >RIV/00216305:26210/19:PU135961 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aidic.it/cet/19/76/004.pdf" target="_blank" >https://www.aidic.it/cet/19/76/004.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3303/CET1976004" target="_blank" >10.3303/CET1976004</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Graphical Break-Even Based Decision-Making Tool (BBDM) to Minimise GHG Footprint of Biomass Utilisation: Biochar by Pyrolysis

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20402 - Chemical process engineering

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Chemical Engineering Transactions

  • ISSN

    2283-9216

  • e-ISSN

  • Volume of the periodical

    neuveden

  • Issue of the periodical within the volume

    76

  • Country of publishing house

    IT - ITALY

  • Number of pages

    6

  • Pages from-to

    19-24

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85076304950