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Comparative Assessment of Carbon Footprints of Selected Organizations: The Application of the Enhanced Bilan Carbone Model

Author

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  • Željko Jurić

    (Department for Renewable Energy Sources, Climate and Environmental Protection, Energy Institute Hrvoje Požar, 10001 Zagreb, Croatia)

  • Davor Ljubas

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, Croatia)

Abstract

Making organizations aware of their carbon footprint (CF) and proposing measures to reduce it are important segments of climate change mitigation. As a part of this process, an enhanced Bilan Carbone model with incorporated country-specific greenhouse gas (GHG) emission factors was applied for CF calculations of three organizations (Agency, Faculty, and Institute). The model, fully in line with international CF calculation standards, can be applied to calculate the CF of any organization on the global level. The paper provides a comparative assessment of CFs of considered organizations and preconditions for a reliable comparison. The calculated CFs values for 2017 were 513.4 t CO 2 e for the Agency, 4254.7 t CO 2 e for the Faculty, and 477.0 t CO 2 e for the Institute. Comparing specific CF, the Faculty had the highest value per employee (9.4 t CO 2 e/employee) and the lowest value per heated area (131 kg CO 2 e/m 2 ), followed by the Institute (5.4 t CO 2 e/employee and 222 kg CO 2 e/m 2 ) and the Agency (4.5 t CO 2 e/employee and 294 kg CO 2 e/m 2 ). Using the enhanced Bilan Carbone model, adapted to national conditions, could lead to the harmonization of the organizations’ CF calculation and enable the identification of significant emission sources. This will facilitate the definition of GHG reduction targets and the identification of mitigation measures for achieving the targets, as presented in the example of the Institute.

Suggested Citation

  • Željko Jurić & Davor Ljubas, 2020. "Comparative Assessment of Carbon Footprints of Selected Organizations: The Application of the Enhanced Bilan Carbone Model," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9618-:d:447130
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    2. Radonjič, Gregor & Tompa, Saša, 2018. "Carbon footprint calculation in telecommunications companies – The importance and relevance of scope 3 greenhouse gases emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 361-375.
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    Cited by:

    1. Oliver Wagner & Lena Tholen & Lotte Nawothnig & Sebastian Albert-Seifried, 2021. "Making School-Based GHG-Emissions Tangible by Student-Led Carbon Footprint Assessment Program," Energies, MDPI, vol. 14(24), pages 1-20, December.
    2. Justiani Sally & Wibowo Budhi S., 2022. "The Economic and Environmental Benefits of Collaborative Pick-Up in Urban Delivery Systems," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 13(1), pages 245-256, January.
    3. Yongmao Xiao & Wei Yan & Ruping Wang & Zhigang Jiang & Ying Liu, 2021. "Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    4. Eckard Helmers & Chia Chien Chang & Justin Dauwels, 2022. "Carbon Footprinting of Universities Worldwide Part II: First Quantification of Complete Embodied Impacts of Two Campuses in Germany and Singapore," Sustainability, MDPI, vol. 14(7), pages 1-24, March.

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