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Optimising Agricultural Waste Supply Chains for Sustainable Bioenergy Production: A Comprehensive Literature Review

Author

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  • Maryam Roudneshin

    (School of Biosystems and Food Engineering, University College Dublin, UCD Belfield, D04 V1W8 Dublin, Ireland)

  • Amanda Sosa

    (School of Agriculture and Food Science, University College Dublin, UCD Belfield, D04 V1W8 Dublin, Ireland)

Abstract

One of the United Nations’ 17 Sustainable Development Goals is to “Ensure access to affordable, sustainable, and clean energy for all.” Additionally, the growing concerns about climate change and energy security have heightened the importance of exploring alternative energy sources to replace fossil fuels. The utilisation of agricultural waste for bioenergy production has acquired significant attention due to its potential to mitigate environmental impacts and provide renewable energy sources. However, the major obstacle to producing bioenergy is managing the supply chain while considering economic, environmental, and social factors in an optimal way. This paper presents a comprehensive overview of the literature on the management of agriculture waste supply chains, specifically related to the use of modelling and optimisation techniques for planning. The first section describes different stages of the supply chain and various technologies for converting biomass to bioenergy. This is followed by a synopsis of the literature reviewed based on decision levels, objective functions, modelling methodologies, and optimisation approaches. Finally, the review highlights limitations and gaps in current research and the areas with potential for further exploration.

Suggested Citation

  • Maryam Roudneshin & Amanda Sosa, 2024. "Optimising Agricultural Waste Supply Chains for Sustainable Bioenergy Production: A Comprehensive Literature Review," Energies, MDPI, vol. 17(11), pages 1-24, May.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2542-:d:1401225
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    1. Lourinho, Gonçalo & Brito, Paulo, 2015. "Assessment of biomass energy potential in a region of Portugal (Alto Alentejo)," Energy, Elsevier, vol. 81(C), pages 189-201.
    2. Sharma, B. & Birrell, S. & Miguez, F.E., 2017. "Spatial modeling framework for bioethanol plant siting and biofuel production potential in the U.S," Applied Energy, Elsevier, vol. 191(C), pages 75-86.
    3. Petrovic, Dobrila, 2001. "Simulation of supply chain behaviour and performance in an uncertain environment," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 429-438, May.
    4. Viana, H. & Cohen, Warren B. & Lopes, D. & Aranha, J., 2010. "Assessment of forest biomass for use as energy. GIS-based analysis of geographical availability and locations of wood-fired power plants in Portugal," Applied Energy, Elsevier, vol. 87(8), pages 2551-2560, August.
    5. Mohamed Abdul Ghani, N. Muhammad Aslaam & Vogiatzis, Chrysafis & Szmerekovsky, Joseph, 2018. "Biomass feedstock supply chain network design with biomass conversion incentives," Energy Policy, Elsevier, vol. 116(C), pages 39-49.
    6. Ajanovic, Amela & Haas, Reinhard, 2014. "On the future prospects and limits of biofuels in Brazil, the US and EU," Applied Energy, Elsevier, vol. 135(C), pages 730-737.
    7. Balaman, Şebnem Yılmaz & Selim, Hasan, 2014. "A network design model for biomass to energy supply chains with anaerobic digestion systems," Applied Energy, Elsevier, vol. 130(C), pages 289-304.
    8. Cambero, Claudia & Sowlati, Taraneh, 2016. "Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 178(C), pages 721-735.
    9. Albashabsheh, Nibal T. & Heier Stamm, Jessica L., 2019. "Optimization of lignocellulosic biomass-to-biofuel supply chains with mobile pelleting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 545-562.
    10. Gital Durmaz, Yeşim & Bilgen, Bilge, 2020. "Multi-objective optimization of sustainable biomass supply chain network design," Applied Energy, Elsevier, vol. 272(C).
    11. Ge, Yuntian & Li, Lin & Yun, Lingxiang, 2021. "Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways," Applied Energy, Elsevier, vol. 281(C).
    12. Cooper, Nathanial & Panteli, Anna & Shah, Nilay, 2019. "Linear estimators of biomass yield maps for improved biomass supply chain optimisation," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    13. Lovrak, Ana & Pukšec, Tomislav & Duić, Neven, 2020. "A Geographical Information System (GIS) based approach for assessing the spatial distribution and seasonal variation of biogas production potential from agricultural residues and municipal biowaste," Applied Energy, Elsevier, vol. 267(C).
    14. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    15. Haji Esmaeili, Seyed Ali & Szmerekovsky, Joseph & Sobhani, Ahmad & Dybing, Alan & Peterson, Tim O., 2020. "Sustainable biomass supply chain network design with biomass switching incentives for first-generation bioethanol producers," Energy Policy, Elsevier, vol. 138(C).
    16. Ells, A. & Bulte, E.H. & van Kooten, G.C., 1997. "Uncertainty and forest land use in British Columbia : Vague preferences and imprecise coefficients," Other publications TiSEM 7ec50f74-1a54-4827-9a2e-9, Tilburg University, School of Economics and Management.
    17. Demirbas, Ayhan, 2009. "Political, economic and environmental impacts of biofuels: A review," Applied Energy, Elsevier, vol. 86(Supplemen), pages 108-117, November.
    18. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland," Applied Energy, Elsevier, vol. 137(C), pages 338-351.
    19. Ng, Rex T.L. & Maravelias, Christos T., 2017. "Design of biofuel supply chains with variable regional depot and biorefinery locations," Renewable Energy, Elsevier, vol. 100(C), pages 90-102.
    20. Mohammad S. Roni & Sandra D. Eksioglu & Kara G. Cafferty & Jacob J. Jacobson, 2017. "A multi-objective, hub-and-spoke model to design and manage biofuel supply chains," Annals of Operations Research, Springer, vol. 249(1), pages 351-380, February.
    21. Sarker, Bhaba R. & Wu, Bingqing & Paudel, Krishna P., 2019. "Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location," Applied Energy, Elsevier, vol. 239(C), pages 343-355.
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