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Smart Residual Biomass Supply Chain: A Digital Tool to Boost Energy Potential Recovery and Mitigate Rural Fire Risk

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  • Tiago Bastos

    (DEGEIT, Departamento de Economia, Gestão, Engenharia Industrial e Turismo, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    Laboratório Associado de Sistemas Inteligentes (LASI), Instituto de Engenharia Eletrónica e Informática de Aveiro (IEETA), Universidade de Aveiro, 3810-193 Aveiro, Portugal)

  • Leonel J. R. Nunes

    (DEGEIT, Departamento de Economia, Gestão, Engenharia Industrial e Turismo, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    GOVCOPP, Unidade de Investigação em Governança, Competitividade e Políticas Públicas, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    PROMETHEUS, Unidade de Investigação em Materiais, Energia, Ambiente para a Sustentabilidade, Instituto Politécnico de Viana do Castelo, Rua da Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal)

  • Leonor Teixeira

    (DEGEIT, Departamento de Economia, Gestão, Engenharia Industrial e Turismo, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    Laboratório Associado de Sistemas Inteligentes (LASI), Instituto de Engenharia Eletrónica e Informática de Aveiro (IEETA), Universidade de Aveiro, 3810-193 Aveiro, Portugal)

Abstract

Agroforestry landscape has undergone changes, namely land abandonment, which when combined with negative attitudes towards fire, is associated with the eradication of agroforestry leftovers and acts towards the proliferation of fires, threatening sustainability concerns. Agroforestry leftovers recovery presents high potential to act on this problem; however, the logistical costs associated with the recovery chain make it unfeasible. The lack of coordination/transparency between stakeholders is one of the main explanations for these costs. This study develops a digital tool to enhance the residual biomass supply chain for energy recovery and fire risk mitigation. In addition to this concept, this work also proposes conceptual models and a prototype, two essential contributions to software development. Methodologically, this study consulted 10 experts to validate a concept previously presented in the literature, supplemented with UML modeling and prototyping with Figma ® . The main results point to the creation of a disruptive concept that will allow access to information/transparency about agroforestry services, with the goal that this will improve the functioning of the RBSC, resulting in a reduction in fire risk and, consequently, improvements in sustainability concerns associated with this hazard.

Suggested Citation

  • Tiago Bastos & Leonel J. R. Nunes & Leonor Teixeira, 2025. "Smart Residual Biomass Supply Chain: A Digital Tool to Boost Energy Potential Recovery and Mitigate Rural Fire Risk," Sustainability, MDPI, vol. 17(17), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7863-:d:1739189
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    References listed on IDEAS

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    1. Marta Oliveira & Cristina Delerue-Matos & Maria Carmo Pereira & Simone Morais, 2020. "Environmental Particulate Matter Levels during 2017 Large Forest Fires and Megafires in the Center Region of Portugal: A Public Health Concern?," IJERPH, MDPI, vol. 17(3), pages 1-20, February.
    2. Hugo Guzmán-Bello & Iosvani López-Díaz & Miguel Aybar-Mejía & Jose Atilio de Frias, 2022. "A Review of Trends in the Energy Use of Biomass: The Case of the Dominican Republic," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    3. Bernardine Chidozie & Ana Ramos & José Vasconcelos & Luis Pinto Ferreira, 2024. "Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach," Logistics, MDPI, vol. 8(4), pages 1-18, October.
    4. Bernardine Chidozie & Ana Ramos & José Vasconcelos & Luis Pinto Ferreira & Reinaldo Gomes, 2024. "Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    5. Moretti, Luca & Milani, Mario & Lozza, Giovanni Gustavo & Manzolini, Giampaolo, 2021. "A detailed MILP formulation for the optimal design of advanced biofuel supply chains," Renewable Energy, Elsevier, vol. 171(C), pages 159-175.
    6. Basile, Flavia & Pilotti, Lorenzo & Ugolini, Marco & Lozza, Giovanni & Manzolini, Giampaolo, 2022. "Supply chain optimization and GHG emissions in biofuel production from forestry residues in Sweden," Renewable Energy, Elsevier, vol. 196(C), pages 405-421.
    7. Tiago Bastos & Leonor C. Teixeira & João C. O. Matias & Leonel J. R. Nunes, 2023. "Agroforestry Biomass Recovery Supply Chain Management: A More Efficient Information Flow Model Based on a Web Platform," Logistics, MDPI, vol. 7(3), pages 1-15, August.
    8. Leonel J. R. Nunes & Sandra Silva, 2023. "Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis," Logistics, MDPI, vol. 7(3), pages 1-21, August.
    9. Bernardine Chigozie Chidozie & Ana Luísa Ramos & José Vasconcelos Ferreira & Luís Pinto Ferreira, 2023. "Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    10. Fernando Almeida & Jorge Simões & Sérgio Lopes, 2022. "Exploring the Benefits of Combining DevOps and Agile," Future Internet, MDPI, vol. 14(2), pages 1-14, February.
    11. Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
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