IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v35y2010i3p1338-1350.html
   My bibliography  Save this article

Linear mixed-integer models for biomass supply chains with transport, storage and processing

Author

Listed:
  • van Dyken, Silke
  • Bakken, Bjorn H.
  • Skjelbred, Hans I.

Abstract

This paper presents a linear mixed-integer modeling approach for basic components in a biomass supply chain including supply, processing, storage and demand of different types of biomass. The main focus in the biomass models lies on the representation of the relationship between moisture and energy content in a discretized framework and on handling of long-term processes like storage with passive drying effects in the optimization. The biomass models are formulated consistently with current models for gas, electricity and heat infrastructures in the optimization model ‘eTransport’, which is designed for planning of energy systems with multiple energy carriers. To keep track of the varying moisture content in the models and its impact on other biomass properties, the current node structure in eTransport has been expanded with a special set of biomass nodes. The Node, Supply, Dryer and Storage models are presented in detail as examples of the approach. A sample case study is included to illustrate the functionality implemented in the models.

Suggested Citation

  • van Dyken, Silke & Bakken, Bjorn H. & Skjelbred, Hans I., 2010. "Linear mixed-integer models for biomass supply chains with transport, storage and processing," Energy, Elsevier, vol. 35(3), pages 1338-1350.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:3:p:1338-1350
    DOI: 10.1016/j.energy.2009.11.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544209005064
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2009.11.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Frombo, Francesco & Minciardi, Riccardo & Robba, Michela & Sacile, Roberto, 2009. "A decision support system for planning biomass-based energy production," Energy, Elsevier, vol. 34(3), pages 362-369.
    2. Gigler, J. K. & Hendrix, E. M. T. & Heesen, R. A. & van den Hazelkamp, V. G. W. & Meerdink, G., 2002. "On optimisation of agri chains by dynamic programming," European Journal of Operational Research, Elsevier, vol. 139(3), pages 613-625, June.
    3. Bakken, Bjorn H. & Skjelbred, Hans I. & Wolfgang, Ove, 2007. "eTransport: Investment planning in energy supply systems with multiple energy carriers," Energy, Elsevier, vol. 32(9), pages 1676-1689.
    4. Rentizelas, Athanasios A. & Tolis, Athanasios J. & Tatsiopoulos, Ilias P., 2009. "Logistics issues of biomass: The storage problem and the multi-biomass supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 887-894, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. De Meyer, Annelies & Cattrysse, Dirk & Rasinmäki, Jussi & Van Orshoven, Jos, 2014. "Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 657-670.
    2. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    3. Chugh, Shikha & Yu, T. Edward & Jackson, Samuel & Larson, James & English, Burton & Cho, Seong-Hoon, 2015. "Exploring the Potential to Penetrate the Energy Markets for Tennessee-Produced Switchgrass," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196899, Southern Agricultural Economics Association.
    4. Zahraee, Seyed Mojib & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2022. "Application of geographical information system and agent-based modeling to estimate particle-gaseous pollutantemissions and transportation cost of woody biomass supply chain," Applied Energy, Elsevier, vol. 309(C).
    5. Liu, Wan-Yu & Lin, Chun-Cheng & Yeh, Tzu-Lei, 2017. "Supply chain optimization of forest biomass electricity and bioethanol coproduction," Energy, Elsevier, vol. 139(C), pages 630-645.
    6. Calvert, K., 2011. "Geomatics and bioenergy feasibility assessments: Taking stock and looking forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1117-1124, February.
    7. Tatiana M. Pinho & João Paulo Coelho & Germano Veiga & A. Paulo Moreira & José Boaventura-Cunha, 2017. "A Multilayer Model Predictive Control Methodology Applied to a Biomass Supply Chain Operational Level," Complexity, Hindawi, vol. 2017, pages 1-10, July.
    8. Shabani, Nazanin & Akhtari, Shaghaygh & Sowlati, Taraneh, 2013. "Value chain optimization of forest biomass for bioenergy production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 299-311.
    9. Samsatli, Sheila & Samsatli, Nouri J. & Shah, Nilay, 2015. "BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation – Mathematical formulation," Applied Energy, Elsevier, vol. 147(C), pages 131-160.
    10. Sharma, B. & Ingalls, R.G. & Jones, C.L. & Khanchi, A., 2013. "Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 608-627.
    11. Akhtari, Shaghaygh & Sowlati, Taraneh & Griess, Verena C., 2018. "Integrated strategic and tactical optimization of forest-based biomass supply chains to consider medium-term supply and demand variations," Applied Energy, Elsevier, vol. 213(C), pages 626-638.
    12. Pantaleo, Antonio & Candelise, Chiara & Bauen, Ausilio & Shah, Nilay, 2014. "ESCO business models for biomass heating and CHP: Profitability of ESCO operations in Italy and key factors assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 237-253.
    13. Dan Liu & Da Teng & Yan Zhu & Xingde Wang & Hanyang Wang, 2023. "Optimization of Process Parameters for Pellet Production from Corn Stalk Rinds Using Box–Behnken Design," Energies, MDPI, vol. 16(12), pages 1-20, June.
    14. Vasiliki Tzelepi & Myrto Zeneli & Dimitrios-Sotirios Kourkoumpas & Emmanouil Karampinis & Antonios Gypakis & Nikos Nikolopoulos & Panagiotis Grammelis, 2020. "Biomass Availability in Europe as an Alternative Fuel for Full Conversion of Lignite Power Plants: A Critical Review," Energies, MDPI, vol. 13(13), pages 1-26, July.
    15. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    16. Saidur, R. & Abdelaziz, E.A. & Demirbas, A. & Hossain, M.S. & Mekhilef, S., 2011. "A review on biomass as a fuel for boilers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2262-2289, June.
    17. Batidzirai, B. & Mignot, A.P.R. & Schakel, W.B. & Junginger, H.M. & Faaij, A.P.C., 2013. "Biomass torrefaction technology: Techno-economic status and future prospects," Energy, Elsevier, vol. 62(C), pages 196-214.
    18. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    19. Sacchelli, Sandro & De Meo, Isabella & Paletto, Alessandro, 2013. "Bioenergy production and forest multifunctionality: A trade-off analysis using multiscale GIS model in a case study in Italy," Applied Energy, Elsevier, vol. 104(C), pages 10-20.
    20. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 15-35.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:35:y:2010:i:3:p:1338-1350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.