GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula

[EN] Agricultural and livestock biogas exploitation trough co-digestion power plants is still poorly deployed in Europe-e.g., in Spain, this Renewable Energy Source (RES) represents only the 0.17% of installed RES capacity-although most authors agree and even EU Directive 2009/28/EU stipulates that...

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Autores: González Martínez, Alberto, Simón Martín, Miguel de, Diez Suárez, Ana María, Puente Gil, Álvaro de la, Ramos Malmierca, M. Ángeles, Álvarez de Prado, Laura
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/23538
Acceso en línea:https://hdl.handle.net/10612/23538
Access Level:acceso abierto
Palabra clave:Energía
Anaerobic Digestion
Biogas
GIS
Optimization
Clustering
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spelling GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian PeninsulaGonzález Martínez, AlbertoSimón Martín, Miguel deDiez Suárez, Ana MaríaPuente Gil, Álvaro de laRamos Malmierca, M. ÁngelesÁlvarez de Prado, LauraEnergíaAnaerobic DigestionBiogasGISOptimizationClustering[EN] Agricultural and livestock biogas exploitation trough co-digestion power plants is still poorly deployed in Europe-e.g., in Spain, this Renewable Energy Source (RES) represents only the 0.17% of installed RES capacity-although most authors agree and even EU Directive 2009/28/EU stipulates that biogas and this type of energy can contribute to a reduction of at least 35% of greenhouse gas emissions. Furthermore, biogas can be used to upgrade gas pipelines, which results of great interest. Nevertheless, it has been observed that the biogas production its underrated in many EU member states, especially in Spain, and it still has a very low penetration rate in the energy mix. Most currently installed co-digestion power plants in our country show low installed capacity values (the 66% of installed co-digestion power plants have a rated power less than 500 kW) and are restricted to local resources. In this paper, through a Geographical Information System (GIS) approach, 8 different co-digestion mixtures have been evaluated and the most profitable ones have been optimized for the Spanish Iberian Peninsula to set their real biogas generation potential according to the geographical distribution of the resources. Moreover, for each different mixture, optimal clusterization have been proposed, according to maximum potential generation and minimum transport cost ratios. This analysis results fundamental for the optimal deployment of co-digestion power plants in Spain and the adequate allocation of RES. Results show that the most feasible co-digestion mixtures available in the Spanish Iberian Peninsula are based on slurry, glycerine and agricultural residuals, and 4 mixtures show a great energetic potential, estimated in more than 277 MW of electrical power capacity in co-digestion power plants economically feasible. The Spanish Iberian Peninsula potential is estimated in the range from 175 MW to 550 MW.SIThis paper has been published thanks to the support of the Laboratorio de Inspección Técnica de la Escuela de Minas (LITEM), Universidad de León (Spain). The authors want to thank all contributors to the project, and to the Conference Chair and reviewers for their valuable comments to increase the overall quality of the manuscript.Global Open Share Publishing PTY Limited en colaboración con la Asociación Europea para el Desarrollo de Energías Renovables, Medio Ambiente y Calidad de la EnergíaIngenieria ElectricaEscuela Superior y Tecnica de Ingenieros de Minas2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://hdl.handle.net/10612/23538reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónIngléshttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/235382026-06-24T12:43:27Z
dc.title.none.fl_str_mv GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
title GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
spellingShingle GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
González Martínez, Alberto
Energía
Anaerobic Digestion
Biogas
GIS
Optimization
Clustering
title_short GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
title_full GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
title_fullStr GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
title_full_unstemmed GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
title_sort GIS-based model for determining the optimal potential of co-digestion mixtures in the Spanish Iberian Peninsula
dc.creator.none.fl_str_mv González Martínez, Alberto
Simón Martín, Miguel de
Diez Suárez, Ana María
Puente Gil, Álvaro de la
Ramos Malmierca, M. Ángeles
Álvarez de Prado, Laura
author González Martínez, Alberto
author_facet González Martínez, Alberto
Simón Martín, Miguel de
Diez Suárez, Ana María
Puente Gil, Álvaro de la
Ramos Malmierca, M. Ángeles
Álvarez de Prado, Laura
author_role author
author2 Simón Martín, Miguel de
Diez Suárez, Ana María
Puente Gil, Álvaro de la
Ramos Malmierca, M. Ángeles
Álvarez de Prado, Laura
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ingenieria Electrica
Escuela Superior y Tecnica de Ingenieros de Minas
dc.subject.none.fl_str_mv Energía
Anaerobic Digestion
Biogas
GIS
Optimization
Clustering
topic Energía
Anaerobic Digestion
Biogas
GIS
Optimization
Clustering
description [EN] Agricultural and livestock biogas exploitation trough co-digestion power plants is still poorly deployed in Europe-e.g., in Spain, this Renewable Energy Source (RES) represents only the 0.17% of installed RES capacity-although most authors agree and even EU Directive 2009/28/EU stipulates that biogas and this type of energy can contribute to a reduction of at least 35% of greenhouse gas emissions. Furthermore, biogas can be used to upgrade gas pipelines, which results of great interest. Nevertheless, it has been observed that the biogas production its underrated in many EU member states, especially in Spain, and it still has a very low penetration rate in the energy mix. Most currently installed co-digestion power plants in our country show low installed capacity values (the 66% of installed co-digestion power plants have a rated power less than 500 kW) and are restricted to local resources. In this paper, through a Geographical Information System (GIS) approach, 8 different co-digestion mixtures have been evaluated and the most profitable ones have been optimized for the Spanish Iberian Peninsula to set their real biogas generation potential according to the geographical distribution of the resources. Moreover, for each different mixture, optimal clusterization have been proposed, according to maximum potential generation and minimum transport cost ratios. This analysis results fundamental for the optimal deployment of co-digestion power plants in Spain and the adequate allocation of RES. Results show that the most feasible co-digestion mixtures available in the Spanish Iberian Peninsula are based on slurry, glycerine and agricultural residuals, and 4 mixtures show a great energetic potential, estimated in more than 277 MW of electrical power capacity in co-digestion power plants economically feasible. The Spanish Iberian Peninsula potential is estimated in the range from 175 MW to 550 MW.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10612/23538
url https://hdl.handle.net/10612/23538
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Global Open Share Publishing PTY Limited en colaboración con la Asociación Europea para el Desarrollo de Energías Renovables, Medio Ambiente y Calidad de la Energía
publisher.none.fl_str_mv Global Open Share Publishing PTY Limited en colaboración con la Asociación Europea para el Desarrollo de Energías Renovables, Medio Ambiente y Calidad de la Energía
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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