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Analysis of energy efficiency of forest chip supply systems using discrete-event simulation

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  • Prinz, Robert
  • Väätäinen, Kari
  • Laitila, Juha
  • Sikanen, Lauri
  • Asikainen, Antti

Abstract

Legislative changes have increased the allowable dimensions and weight for heavy transport vehicles in Finland, and this has been essential for the efficiency of wood chip transportation. In a typical forest, the supply of chips from roadside landings to the end-using facilities, such as combined heat and power plants, the balance of production capacities between chippers and the transportation of the chips by truck-trailer combinations substantially influence the performance of the system. The aim of this study was to investigate how new innovative chipper and vehicle types with increased chip carrying capacity would affect the cost and energy efficiency of the entire supply system. A method involving discrete-event simulation was used to investigate efficient solutions for the forest chip supply chain. By running several case scenarios, the aim was to examine the supply costs and efficiencies of new supply systems, and to investigate the difference at supply level between logging residues and small-diameter trees as raw materials.

Suggested Citation

  • Prinz, Robert & Väätäinen, Kari & Laitila, Juha & Sikanen, Lauri & Asikainen, Antti, 2019. "Analysis of energy efficiency of forest chip supply systems using discrete-event simulation," Applied Energy, Elsevier, vol. 235(C), pages 1369-1380.
    • Handle: RePEc:eee:appene:v:235:y:2019:i:c:p:1369-1380
    DOI: 10.1016/j.apenergy.2018.11.053
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    References listed on IDEAS

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    1. Eliasson, Lars & Eriksson, Anders & Mohtashami, Sima, 2017. "Analysis of factors affecting productivity and costs for a high-performance chip supply system," Applied Energy, Elsevier, vol. 185(P1), pages 497-505.
    2. Palander, Teijo & Haavikko, Hanna & Kärhä, Kalle, 2018. "Towards sustainable wood procurement in forest industry – The energy efficiency of larger and heavier vehicles in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 100-118.
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    7. Malladi, Krishna Teja & Quirion-Blais, Olivier & Sowlati, Taraneh, 2018. "Development of a decision support tool for optimizing the short-term logistics of forest-based biomass," Applied Energy, Elsevier, vol. 216(C), pages 662-677.
    8. 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.
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    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.
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    Cited by:

    1. Mosayeb Dashtpeyma & Reza Ghodsi, 2021. "Forest Biomass and Bioenergy Supply Chain Resilience: A Systematic Literature Review on the Barriers and Enablers," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    2. Teijo Palander & Hanna Haavikko & Emma Kortelainen & Kalle Kärhä, 2020. "Comparison of Energy Efficiency Indicators of Road Transportation for Modeling Environmental Sustainability in “Green” Circular Industry," Sustainability, MDPI, vol. 12(7), pages 1-22, March.
    3. Zhaoyuan He & Paul Turner, 2021. "A Systematic Review on Technologies and Industry 4.0 in the Forest Supply Chain: A Framework Identifying Challenges and Opportunities," Logistics, MDPI, vol. 5(4), pages 1-22, December.
    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. Battuvshin, Biligt & Matsuoka, Yusuke & Shirasawa, Hiroaki & Toyama, Keisuke & Hayashi, Uichi & Aruga, Kazuhiro, 2020. "Supply potential and annual availability of timber and forest biomass resources for energy considering inter-prefectural trade in Japan," Land Use Policy, Elsevier, vol. 97(C).
    6. Juha Laitila & Robert Prinz & Lauri Sikanen, 2019. "Selection of a chipper technology for small-scale operations - a Finnish case," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(4), pages 121-133.
    7. Zahraee, Seyed Mojib & Rahimpour Golroudbary, Saeed & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2021. "Particle-Gaseous pollutant emissions and cost of global biomass supply chain via maritime transportation: Full-scale synergy model," Applied Energy, Elsevier, vol. 303(C).

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