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Optimizing the supply chain of biomass and biogas for a single plant considering mass and energy losses

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  • Jensen, Ida Græsted
  • Münster, Marie
  • Pisinger, David
Abstract
The share of renewable energy in the Danish energy sector is increasing and the goal is that biogas production should reach a production level of 17 petajoules (PJ) in 2020 according to the Danish Energy Agency. However, this goal is currently not reachable due to lack of investments in biogas plants.

Suggested Citation

  • Jensen, Ida Græsted & Münster, Marie & Pisinger, David, 2017. "Optimizing the supply chain of biomass and biogas for a single plant considering mass and energy losses," European Journal of Operational Research, Elsevier, vol. 262(2), pages 744-758.
  • Handle: RePEc:eee:ejores:v:262:y:2017:i:2:p:744-758
    DOI: 10.1016/j.ejor.2017.03.071
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    References listed on IDEAS

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    Citations

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    2. Díaz-Trujillo, Luis Alberto & Nápoles-Rivera, Fabricio, 2019. "Optimization of biogas supply chain in Mexico considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 139(C), pages 1227-1240.
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    5. Kari-Anne Lyng & Lise Skovsgaard & Henrik Klinge Jacobsen & Ole Jørgen Hanssen, 2020. "The implications of economic instruments on biogas value chains: a case study comparison between Norway and Denmark," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7125-7152, December.
    6. Siddique, Muhammad Bilal & Nielsen, Per Sieverts & Rosendal, Mathias Berg & Jensen, Ida Græsted & Keles, Dogan, 2023. "Impacts of earlier natural gas phase-out & heat-saving policies on district heating and the energy system," Energy Policy, Elsevier, vol. 174(C).
    7. Francesco Moresino & Emmanuel Fragnière, 2018. "Combining Behavioral Approaches with Techno-Economic Energy Models: Dealing with the Coupling Non-Linearity Issue," Energies, MDPI, vol. 11(7), pages 1-14, July.
    8. Yang, Hanyu & Dou, Xun & Pan, Feng & Wu, Qiuwei & Li, Canbing & Zhou, Bin & Hao, Lili, 2022. "Optimal planning of local biomass-based integrated energy system considering anaerobic co-digestion," Applied Energy, Elsevier, vol. 316(C).
    9. Hengeveld, E.J. & Bekkering, J. & Van Dael, M. & van Gemert, W.J.T. & Broekhuis, A.A., 2020. "Potential advantages in heat and power production when biogas is collected from several digesters using dedicated pipelines - A case study in the “Province of West-Flanders” (Belgium)," Renewable Energy, Elsevier, vol. 149(C), pages 549-564.
    10. Malladi, Krishna Teja & Sowlati, Taraneh, 2018. "Biomass logistics: A review of important features, optimization modeling and the new trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 587-599.
    11. Anna Pääkkönen & Kalle Aro & Pami Aalto & Jukka Konttinen & Matti Kojo, 2019. "The Potential of Biomethane in Replacing Fossil Fuels in Heavy Transport—A Case Study on Finland," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    12. Daniela Guericke & Ignacio Blanco & Juan M. Morales & Henrik Madsen, 2020. "A two-phase stochastic programming approach to biomass supply planning for combined heat and power plants," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 863-900, December.
    13. Dehghani, Ehsan & Jabalameli, Mohammad Saeed & Jabbarzadeh, Armin, 2018. "Robust design and optimization of solar photovoltaic supply chain in an uncertain environment," Energy, Elsevier, vol. 142(C), pages 139-156.
    14. Jiang, Zhong-Zhong & He, Na & Huang, Song, 2021. "Government penalty provision and contracting with asymmetric quality information in a bioenergy supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    15. 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.
    16. Yunusoglu, Pinar & Ozsoydan, Fehmi Burcin & Bilgen, Bilge, 2024. "A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chain," Applied Energy, Elsevier, vol. 362(C).

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