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A spatial evaluation of forest biomass usage using GIS

Author

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  • Kinoshita, Tsuguki
  • Inoue, Keisuke
  • Iwao, Koki
  • Kagemoto, Hiroshi
  • Yamagata, Yoshiki

Abstract

We conducted a spatial evaluation of forest biomass usage using a geographic information system (GIS) for the Japanese town of Yusuhara. In Japan, over 60% of the land is covered with forest, of which at least 40% is artificial forest. However, because of high labor costs, the profitability of forestry is decreasing, so timber cultivation is not done to the extent that it could be, and thinning has to be subsidized. Under these circumstances, much of the forest is deteriorating. Most of the thinning is accounted for by throwaway thinning, in which the resulting wood is not used. However, with the steep rise in oil prices and the intensification of global warming concerns, expectations are rising for the use of biomass energy from thinned timber that has previously been discarded. If thinned timber, logging residues, and offcuts are utilized for biomass energy and their economic value becomes apparent, profitability will improve for both final cutting and thinning. And in addition to forestry activities being invigorated, it will be possible for some of the deteriorating forests (which have associated dangers such as landslides) to recover. However, using thinned timber and logging residues is problematic in that profitability is affected by harvesting costs. Harvesting costs are largely determined by geographic factors and are higher for more distant stands. Accordingly, in this article, operational costs for different stands are calculated using GIS and matched with total demand in the subject region. In addition, stands with lower operational costs are identified and an investigation of a highly feasible use of forest biomass is carried out.

Suggested Citation

  • Kinoshita, Tsuguki & Inoue, Keisuke & Iwao, Koki & Kagemoto, Hiroshi & Yamagata, Yoshiki, 2009. "A spatial evaluation of forest biomass usage using GIS," Applied Energy, Elsevier, vol. 86(1), pages 1-8, January.
  • Handle: RePEc:eee:appene:v:86:y:2009:i:1:p:1-8
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    1. Garegnani, Giulia & Sacchelli, Sandro & Balest, Jessica & Zambelli, Pietro, 2018. "GIS-based approach for assessing the energy potential and the financial feasibility of run-off-river hydro-power in Alpine valleys," Applied Energy, Elsevier, vol. 216(C), pages 709-723.
    2. Sultana, Arifa & Kumar, Amit, 2012. "Optimal siting and size of bioenergy facilities using geographic information system," Applied Energy, Elsevier, vol. 94(C), pages 192-201.
    3. Ćosić, Boris & Stanić, Zoran & Duić, Neven, 2011. "Geographic distribution of economic potential of agricultural and forest biomass residual for energy use: Case study Croatia," Energy, Elsevier, vol. 36(4), pages 2017-2028.
    4. Severino Romano & Mario Cozzi & Francesco Di Napoli & Mauro Viccaro, 2013. "Building Agro-Energy Supply Chains in the Basilicata Region: Technical and Economic Evaluation of Interchangeability between Fossil and Renewable Energy Sources," Energies, MDPI, vol. 6(10), pages 1-24, October.
    5. Sánchez-García, Sandra & Canga, Elena & Tolosana, Eduardo & Majada, Juan, 2015. "A spatial analysis of woodfuel based on WISDOM GIS methodology: Multiscale approach in Northern Spain," Applied Energy, Elsevier, vol. 144(C), pages 193-203.
    6. 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.
    7. 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.
    8. 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).
    9. Akhtari, Shaghaygh & Sowlati, Taraneh & Day, Ken, 2014. "The effects of variations in supply accessibility and amount on the economics of using regional forest biomass for generating district heat," Energy, Elsevier, vol. 67(C), pages 631-640.
    10. Vera, David & Carabias, Julio & Jurado, Francisco & Ruiz-Reyes, Nicolás, 2010. "A Honey Bee Foraging approach for optimal location of a biomass power plant," Applied Energy, Elsevier, vol. 87(7), pages 2119-2127, July.
    11. Recchia, Lucia & Cini, Enrico & Corsi, Stefano, 2010. "Multicriteria analysis to evaluate the energetic reuse of riparian vegetation," Applied Energy, Elsevier, vol. 87(1), pages 310-319, January.
    12. Angelis-Dimakis, Athanasios & Biberacher, Markus & Dominguez, Javier & Fiorese, Giulia & Gadocha, Sabine & Gnansounou, Edgard & Guariso, Giorgio & Kartalidis, Avraam & Panichelli, Luis & Pinedo, Irene, 2011. "Methods and tools to evaluate the availability of renewable energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1182-1200, February.
    13. Singlitico, Alessandro & Goggins, Jamie & Monaghan, Rory F.D., 2018. "Evaluation of the potential and geospatial distribution of waste and residues for bio-SNG production: A case study for the Republic of Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 288-301.
    14. Fernando López-Rodríguez & Justo García Sanz-Calcedo & Francisco J. Moral-García, 2019. "Spatial Analysis of Residual Biomass and Location of Future Storage Centers in the Southwest of Europe," Energies, MDPI, vol. 12(10), pages 1-16, May.
    15. Shad, Rouzbeh & Khorrami, Mohammad & Ghaemi, Marjan, 2017. "Developing an Iranian green building assessment tool using decision making methods and geographical information system: Case study in Mashhad city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 324-340.
    16. Sun, Yanwei & Wang, Run & Liu, Jian & Xiao, Lishan & Lin, Yanjie & Kao, William, 2013. "Spatial planning framework for biomass resources for power production at regional level: A case study for Fujian Province, China," Applied Energy, Elsevier, vol. 106(C), pages 391-406.
    17. Brianna Heeley & Sanjeev Kumar Srivastava & Mohammad R. Ghaffariyan, 2019. "International assessment of bioenergy stakeholders research requirements of GIS based biomass analytics," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(6), pages 234-246.

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