A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants

Impact factor 4.2 (2023)

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Detalles Bibliográficos
Autores principales: Guido, Rocío E., Rodríguez, C. Ramiro, Javi, Verónica M., Oviedo, Oscar A.
Otros Autores: https://orcid.org/0000-0002-7698-7927
Formato: publishedVersion article
Lenguaje:Inglés
Publicado: 2024
Materias:
Acceso en línea:http://hdl.handle.net/11086/552742
https://link.springer.com/article/10.1007/s10098-023-02732-8
http://doi.org/10.1007/s10098-023-02732-8
Aporte de:
id I10-R141-11086-552742
record_format dspace
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Residual biomass
Stover
Geographic information system
Biopower plants
Bioenergy
spellingShingle Residual biomass
Stover
Geographic information system
Biopower plants
Bioenergy
Guido, Rocío E.
Rodríguez, C. Ramiro
Javi, Verónica M.
Oviedo, Oscar A.
A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants
topic_facet Residual biomass
Stover
Geographic information system
Biopower plants
Bioenergy
description Impact factor 4.2 (2023)
author2 https://orcid.org/0000-0002-7698-7927
author_facet https://orcid.org/0000-0002-7698-7927
Guido, Rocío E.
Rodríguez, C. Ramiro
Javi, Verónica M.
Oviedo, Oscar A.
format publishedVersion
article
author Guido, Rocío E.
Rodríguez, C. Ramiro
Javi, Verónica M.
Oviedo, Oscar A.
author_sort Guido, Rocío E.
title A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants
title_short A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants
title_full A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants
title_fullStr A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants
title_full_unstemmed A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants
title_sort multicriteria gis-based approach for mapping biomass agricultural residues availability for biopower plants
publishDate 2024
url http://hdl.handle.net/11086/552742
https://link.springer.com/article/10.1007/s10098-023-02732-8
http://doi.org/10.1007/s10098-023-02732-8
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spelling I10-R141-11086-5527422024-07-31T12:38:20Z A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants Guido, Rocío E. Rodríguez, C. Ramiro Javi, Verónica M. Oviedo, Oscar A. https://orcid.org/0000-0002-7698-7927 https://orcid.org/0000-0003-4512-6398 Residual biomass Stover Geographic information system Biopower plants Bioenergy Impact factor 4.2 (2023) info:eu-repo/semantics/publishedVersion Fil: Guido, Rocío E. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Teórica y Computacional; Argentina. Fil: Guido, Rocío E. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Fisicoquímica de Córdoba; Argentina Fil: Rodríguez, C. Ramiro. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática; Argentina. Fil: Javi, Verónica M. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Instituto de Investigaciones en Energía No Convencional. Consejo de Investigaciones; Argentina. Fil: Oviedo, Oscar A. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Teórica y Computacional; Argentina. Fil: Oviedo, Oscar A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Fisicoquímica de Córdoba; Argentina. The development of accurate bioenergetic models, that simulate scenarios for decision making and policy planning contributions, has become a necessity in the actual climate crisis context. The objective of this work is to develop a multicriteria methodology to evaluate scenarios for assessing a region's bioenergetic potential and determining optimal location of biopower plants. This method utilizes a geographic information system that incorporates local biomass distribution, crop harvest statistics, detailed yield data, preference and exclusion maps. The approach examines the current local use of residues in the context of long-term soil preservation, employing sustainable residue removal. When it is applied to the Province of Córdoba, Argentina, specifically assessing main agricultural harvest residues, the model identifies 1.8 million tn/year of theoretical residues, primarily from corn and soybean, revalorizing only 4.1% of the available harvest agricultural residues. When employing the most commonly used approaches in the literature, which involves average crop yield values for extensive regions, our results show an underestimation of theoretical biomass up to 26%. This makes it essential to incorporate greater detail in the modeling. After optimizing five biopower plants, each with a collection radius of 60 km, it becomes possible to convert 59% of these residues into bioenergy, generating 2.3 GWh/year, covering up to 23.3% of Córdoba's annual electricity demand. The novelty of this research resides in the development of a high detailed multicriteria methodology, which facilitates the fast simulation of scenarios to identify optimal biopower plant locations, applicability to different biomass types and bioenergy forms for extensive regions. info:eu-repo/semantics/publishedVersion Fil: Guido, Rocío E. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Teórica y Computacional; Argentina. Fil: Guido, Rocío E. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Fisicoquímica de Córdoba; Argentina Fil: Rodríguez, C. Ramiro. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Matemática; Argentina. Fil: Javi, Verónica M. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Instituto de Investigaciones en Energía No Convencional. Consejo de Investigaciones; Argentina. Fil: Oviedo, Oscar A. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Teórica y Computacional; Argentina. Fil: Oviedo, Oscar A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Fisicoquímica de Córdoba; Argentina. 2024-07-14T23:56:55Z 2024-07-14T23:56:55Z 2024-01-24 article Guido, R.E., Rodríguez, C.R., Javi, V.M. et al. A multicriteria GIS-based approach for mapping biomass agricultural residues availability for biopower plants. Clean Techn Environ Policy 26, 1989–2006 (2024). https://doi.org/10.1007/s10098-023-02732-8 http://hdl.handle.net/11086/552742 1618-9558 https://link.springer.com/article/10.1007/s10098-023-02732-8 http://doi.org/10.1007/s10098-023-02732-8 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/