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Optimization and GIS-based combined approach for the determination of the most cost-effective investments in biomass sector

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  • Vukašinović, Vladimir
  • Gordić, Dušan

Abstract

Use of biomass for energy purposes has many advantages, but it is not always profitable due to the characteristics of biomass. In order to improve the utilization of biomass it is necessary to create optimal conditions which require employment of several methods and technologies. This paper describes developed approach for consideration of options for the optimal utilization of available biomass potential under the current conditions (technological, economic, environmental and social). The developed approach is focused on support for decision making process on community level. Proposed approach includes mapping of biomass potential with defining both potential primary storage locations and potential locations of plant using geographic information system technologies. Also, it includes determining the optimal amount of biomass that can be justifiably used for energy purposes under current conditions by using the mathematical optimization with objective function related to maximizing net present value quotient. Four groups of technologies that can be used for biomass valorisation have been considered in the paper; biofuels production, thermal power plants, district heating and cogeneration.

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  • Vukašinović, Vladimir & Gordić, Dušan, 2016. "Optimization and GIS-based combined approach for the determination of the most cost-effective investments in biomass sector," Applied Energy, Elsevier, vol. 178(C), pages 250-259.
    • Handle: RePEc:eee:appene:v:178:y:2016:i:c:p:250-259
    DOI: 10.1016/j.apenergy.2016.06.037
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    7. Vukasinovic, Vladimir & Gordic, Dusan & Zivkovic, Marija & Koncalovic, Davor & Zivkovic, Dubravka, 2019. "Long-term planning methodology for improving wood biomass utilization," Energy, Elsevier, vol. 175(C), pages 818-829.
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    9. Schipfer, Fabian & Kranzl, Lukas, 2019. "Techno-economic evaluation of biomass-to-end-use chains based on densified bioenergy carriers (dBECs)," Applied Energy, Elsevier, vol. 239(C), pages 715-724.
    10. Jenkins, Timothy L. & Jin, Enze & Sutherland, John W., 2020. "Effect of harvest region shape, biomass yield, and plant location on optimal biofuel facility size," Forest Policy and Economics, Elsevier, vol. 111(C).
    11. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.
    12. Senocak, Ahmet Alp & Guner Goren, Hacer, 2023. "Three-phase artificial intelligence-geographic information systems-based biomass network design approach: A case study in Denizli," Applied Energy, Elsevier, vol. 343(C).
    13. Durusut, Emrah & Tahir, Foaad & Foster, Sam & Dineen, Denis & Clancy, Matthew, 2018. "BioHEAT: A policy decision support tool in Ireland’s bioenergy and heat sectors," Applied Energy, Elsevier, vol. 213(C), pages 306-321.
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    15. Jeffrey Steven Paulson & Anil Raj Kizha & Han-Sup Han, 2019. "Integrating Biomass Conversion Technologies with Recovery Operations In-Woods: Modeling Supply Chain," Logistics, MDPI, vol. 3(3), pages 1-14, July.

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