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Energy savings and greenhouse gas mitigation potential in the Swedish wood industry

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  • Johnsson, Simon
  • Andersson, Elias
  • Thollander, Patrik
  • Karlsson, Magnus

Abstract

Improving energy efficiency in industry is recognized as one of the most crucial actions for mitigating climate change. The lack of knowledge regarding energy end-use makes it difficult for companies to know in which processes the highest energy efficiency potential is located. Using a case study design, the paper provides a taxonomy for energy end-use and greenhouse gas (GHG) emissions on a process and energy carrier level. It can be seen that drying of wood is the largest energy using and GHG emitting process in the studied companies. The paper also investigates applied and potentially viable energy key performance indicators (KPIs). Suggestions for improving energy KPIs within the wood industry include separating figures for different wood varieties and different end-products and distinguishing between different drying kiln technologies. Finally, the paper presents the major energy saving and carbon mitigating measures by constructing conservation supply curves and marginal abatement cost curves. The energy saving potential found in the studied companies indicates that significant improvements might be achieved throughout the Swedish wood industry. Even though the scope of this paper is the Swedish wood industry, several of the findings are likely to be relevant in other countries with a prominent wood industry.

Suggested Citation

  • Johnsson, Simon & Andersson, Elias & Thollander, Patrik & Karlsson, Magnus, 2019. "Energy savings and greenhouse gas mitigation potential in the Swedish wood industry," Energy, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:energy:v:187:y:2019:i:c:s0360544219316032
    DOI: 10.1016/j.energy.2019.115919
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    Cited by:

    1. Joakim Haraldsson & Simon Johnsson & Patrik Thollander & Magnus Wallén, 2021. "Taxonomy, Saving Potentials and Key Performance Indicators for Energy End-Use and Greenhouse Gas Emissions in the Aluminium Industry and Aluminium Casting Foundries," Energies, MDPI, vol. 14(12), pages 1-26, June.
    2. Kanchiralla, Fayas Malik & Jalo, Noor & Thollander, Patrik & Andersson, Maria & Johnsson, Simon, 2021. "Energy use categorization with performance indicators for the food industry and a conceptual energy planning framework," Applied Energy, Elsevier, vol. 304(C).
    3. Khouya, Ahmed, 2020. "Effect of regeneration heat and energy storage on thermal drying performance in a hardwood solar kiln," Renewable Energy, Elsevier, vol. 155(C), pages 783-799.
    4. Shveta Soam & Pål Börjesson, 2020. "Considerations on Potentials, Greenhouse Gas, and Energy Performance of Biofuels Based on Forest Residues for Heavy-Duty Road Transport in Sweden," Energies, MDPI, vol. 13(24), pages 1-21, December.
    5. Gradov, Dmitry Vladimirovich & Yusuf, Yusuf Oluwatoki & Ohjainen, Jussi & Suuronen, Jarkko & Eskola, Roope & Roininen, Lassi & Koiranen, Tuomas, 2022. "Modelling of a continuous veneer drying unit of industrial scale and model-based ANOVA of the energy efficiency," Energy, Elsevier, vol. 244(PA).
    6. Liu, Yang & Zhang, Congrui & Xu, Xiaochuan & Ge, Yongxiang & Ren, Gaofeng, 2022. "Assessment of energy conservation potential and cost in open-pit metal mines: Bottom-up approach integrated energy conservation supply curve and ultimate pit limit," Energy Policy, Elsevier, vol. 163(C).
    7. Satu Lipiäinen & Esa Vakkilainen, 2021. "Role of the Finnish forest industry in mitigating global change: energy use and greenhouse gas emissions towards 2035," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(2), pages 1-19, February.
    8. Alessandro Franco & Lorenzo Miserocchi & Daniele Testi, 2023. "Energy Indicators for Enabling Energy Transition in Industry," Energies, MDPI, vol. 16(2), pages 1-18, January.

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