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Impacts of Road Infrastructure on the Environmental Efficiency of High Capacity Transportation in Harvesting of Renewable Wood Energy

Author

Listed:
  • Teijo Palander

    (Faculty of Science and Forestry, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland)

  • Stelian Alexandru Borz

    (Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, Şirul Beethoven 1, 500123 Brasov, Romania)

  • Kalle Kärhä

    (Stora Enso, Forest Division, Wood Supply Finland, P.O. Box 309, FI-00101 Helsinki, Finland)

Abstract

Transportation of renewable wood is increasing, being a necessary operation in logistics of the environmentally sustainable forest industry. However, increasing the transportation capacity is a source of greenhouse gas emissions. In addition to trucks’ emissions, maintaining road infrastructure affects the environment by the emissions of increasing utilization of HCT (high-capacity transportation), that is, larger and heavier vehicles, affecting the backhauling transportation and the efficiency of road-network combinations. Environmental efficiency is an important metric which is used for comparisons among technological alternatives employed in the utilization of energy derived from both fossil and renewable resources. Based on the enterprise resource planning (ERP) data (2018–2020), CO 2 emissions of increasing HCT were calculated for a forest industry corporation. The reduction in average fuel consumption (ml t × km −1 ), between 52% and 70% in backhauling transportation, was 18.88%. In this respect, CO 2 emissions were reduced by 4.52 g t × km −1 , achieving 19.48 g t × km −1 , based on the data from the 76 t vehicle combinations. Furthermore, the metric of total environmental efficiency shows the potential of the alternative road-network combinations for the HCT. The environmental efficiency of the 92 t HCT increased by 11% via an intensive road-network combination, compared to the most efficient 76 t HCT alternative and the efficiency increased by 21%, compared to the most efficient line-hauling alternative. Thus, the results are in favor of the backhauling transportation by the means of 92 t vehicles for HCT development. Furthermore, a sensitivity analysis demonstrates that technological improvement of the forest roads is essential for HCT in an increasing harvesting of renewable wood energy. Also, to achieve the maximum environmental efficiency of the HCT during upgrading of the forest roads, efficiency measurements of the HCT should be implemented in the transportation planning systems.

Suggested Citation

  • Teijo Palander & Stelian Alexandru Borz & Kalle Kärhä, 2021. "Impacts of Road Infrastructure on the Environmental Efficiency of High Capacity Transportation in Harvesting of Renewable Wood Energy," Energies, MDPI, vol. 14(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:453-:d:481266
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    References listed on IDEAS

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    1. Carlsson, Dick & Ronnqvist, Mikael, 2005. "Supply chain management in forestry--case studies at Sodra Cell AB," European Journal of Operational Research, Elsevier, vol. 163(3), pages 589-616, June.
    2. Tommi Inkinen & Esa Hämäläinen, 2020. "Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport," Sustainability, MDPI, vol. 12(17), pages 1-11, August.
    3. Young-Tae Chang, 2013. "Environmental efficiency of ports: a Data Envelopment Analysis approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(5), pages 467-478, September.
    4. Bredstrom, David & Lundgren, Jan T. & Ronnqvist, Mikael & Carlsson, Dick & Mason, Andrew, 2004. "Supply chain optimization in the pulp mill industry--IP models, column generation and novel constraint branches," European Journal of Operational Research, Elsevier, vol. 156(1), pages 2-22, July.
    5. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    6. 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.
    7. Beatrice Marchi & Simone Zanoni, 2017. "Supply Chain Management for Improved Energy Efficiency: Review and Opportunities," Energies, MDPI, vol. 10(10), pages 1-29, October.
    8. Fernández-Dacosta, Cora & Shen, Li & Schakel, Wouter & Ramirez, Andrea & Kramer, Gert Jan, 2019. "Potential and challenges of low-carbon energy options: Comparative assessment of alternative fuels for the transport sector," Applied Energy, Elsevier, vol. 236(C), pages 590-606.
    9. 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.
    10. Amanda Sosa & Radomir Klvac & Enda Coates & Tom Kent & Ger Devlin, 2015. "Improving Log Loading Efficiency for Improved Sustainable Transport within the Irish Forest and Biomass Sectors," Sustainability, MDPI, vol. 7(3), pages 1-14, March.
    11. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    12. McKinnon, A.C. & Piecyk, M.I., 2009. "Measurement of CO2 emissions from road freight transport: A review of UK experience," Energy Policy, Elsevier, vol. 37(10), pages 3733-3742, October.
    13. Silva Herran, Diego & Tachiiri, Kaoru & Matsumoto, Ken'ichi, 2019. "Global energy system transformations in mitigation scenarios considering climate uncertainties," Applied Energy, Elsevier, vol. 243(C), pages 119-131.
    14. Karol Tucki & Remigiusz Mruk & Olga Orynycz & Andrzej Wasiak & Antoni Świć, 2019. "Thermodynamic Fundamentals for Fuel Production Management," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
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    1. José A. Ventura, 2023. "Climate Benefits Advocated by the Development of Sustainable Vehicles and Charging Infrastructures in the Transport Sector," Energies, MDPI, vol. 16(9), pages 1-5, April.

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