Standards for Calculating a Carbon Footprint

Stefanie Lewandowski, André Ullrich ORCID Icon, Norbert Gronau ORCID Icon
JournalIndustrie 4.0 Management
Issue Volume 37, 2021, Edition 4, Pages 17-20
Open Accesshttps://doi.org/10.30844/I40M_21-4_S17-20
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Abstract

Carbon footprints are a widely discussed topic impacting the individuals as well as companies. A company can be transparent in their actions, by publishing a carbon footprint. These footprints can be calculated for a single product or the whole company. However, there is a variety of different carbon footprint standards. The internationally most recognized ones are the publicly available specification 2050, Greenhouse Gas protocol (2011) and ISO 14067. This paper compares the standards and gives a recommendation for the application of product carbon footprints.

Keywords

Bibliography

[1] Liu, T., Wang, Q., Su, B.: A review of carbon labeling: Standards, implementation, and impact. In: Renewable and Sustainable Energy Reviews, 53(2016), S. 68-79. DOI: 10.1016/j.rser.2015.08.050.
[2] Nda, M.; Adnan, M. S.; Ahmad, K. A.; Usman, N.; Razi, M. A. M.; Daud, Z.: A Review on the Causes, Effects and Mitigation of Climate Changes on the En- vironmental Aspects. In: Inter- national Journal of Integrated Engineering, 10 (2018). DOI: 10.30880/ijie.2018.10.04.027.
[3] Olanrewaju, O. A.; Mbohwa, C.: The Need for Greenhouse Gas Analyses in Industrial Sectors. In: Environmental Carbon Footprint, 2018, S. 1-18. DOI: 10.1016/B978-0-12-812849- 7.00001-5.
[4] Peverali, F.; Ullrich, A.: Um- weltorientiertes Prozessmanagement: Integration von Standards des Umweltmanagements und der Nachhaltigkeitsberichterstattung in eine betriebliche Prozessarchitektur. In: HMD Praxis der Wirtschaftsinformatik, 58(2021). DOI: 10.1365/ s40702-020-00698-5.
[5] Bundeszentrale für politische Bildung: Ab 2021: CO2-Preis auf Heiz- und Kraftstoffe, S. 1, Dez. 2020.
[6] DIN-Normenausschuss Grundlagen des Umwelt- schutzes (NAGUS): DIN EN ISO 14067. 2018.
[7] Muthu, S. S. (Hrsg.): Carbon Footprint Case Studies: Municipal Solid Waste Management, Sustainable Road Transport and Carbon Sequestration. Singapore: Springer Singapore, 2021. doi: 10.1007/978-981-15-9577-6.
[8] WBCSD/WRI, Greenhouse gas protocol: product life cycle accounting and reporting standard. Washington, DC; Geneva, Switzerland: World Resources Institute; World Business Council for Sustainable Development, 2011.
[9] British Standards Institution, PAS 2050:2011: Specification for the assessment of the life cycle greenhouse gas emissions of goods and services. 2011. Zugegriffen: Feb. 11, 2021. [Online]. Verfügbar unter: http://shop.bsigroup.com/upload/shop/download/pas/pas2050.pdf.
[10] Wu, P.; Low, S. P.; Xia, B.; Zuo, J.: Achieving transparency in carbon labelling for construction materials – Lessons from current assessment standards and carbon labels. Environmental Science & Policy, 44(2014), S. 11-25. DOI: 10.1016/j.envsci.2014.07.009.
[11] Hottenroth, H.; Joa, B.; Schmidt, M.: Carbon Foot- prints für Produkte. 2013.
[12] Wang, S.; Wang, W.; Yang, H.: Comparison of Product Carbon Footprint Protocols: Case Study on Medium-Density Fiberboard in China. International Journal of Environmental Research and Public Health, 15(2018), S. 2060. DOI: 10.3390/ijerph15102060.
[13] Garcia, R.; Freire, F.: Carbon footprint of particleboard: a comparison between ISO/ TS 14067, GHG Protocol, PAS 2050 and Climate Declaration, Journal of Cleaner Production, 66(2014), S. 199-209. DOI: 10.1016/j.jclepro.2013.11.073.
[14] Ullrich, A.; Gronau, N.: Time to Change: Considering the 4th Industrial Revolution from Three Sustainability Perspectives. In Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics – Volume 1: IN- 4PL (2020), S. 109-116. DOI: 10.5220/0010148601090116.

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