Abstract
International agreements target a reduction in greenhouse gas emissions. A major contributor to these greenhouse gas emissions is the generation and consumption of energy. By a varying supply and demand of different energy sources including renewables a varying energy mix results. A difficulty poses the determination of CO2 equivalent emissions for volatile energy types, because different energy sources have type-specific emission amounts. Within the manufacturing environment, the challenge is to allocate the resulting energy flows, respectively emission flows through the existing hierarchical structure.
State of the art provides methods for the calculation of embodied energy. Life cycle assessment methods can be used to determine environmental impact, but are carried out mostly as static analysis. Within this publication an approach to determine the embodied emissions with the consideration of volatile CO2 emissions is presented. The goal of the approach is to provide a path to map the resulting CO2 equivalent emissions to produced goods in a manufacturing context.
Used methods include the analysis of existing methods for energy allocation in products and life cycle assessment methods. An analysis of the electricity grid has been conducted and a mathematical model for the calculation of inherent CO2 equivalent emissions has been formulated. The paper provides a conceptual approach to map volatile equivalent CO2 emissions to produced goods and can be used to minimize embodied energy in further applications.
Keywords
- Embodied energy
- Volatile emission allocation
- Dynamic life cycle assessment
- Sustainable manufacturing
- CO2 emissions
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Bullard, C.W., Herendeen, R.A.: The energy cost of goods and services. Energy Policy 3(4), 268–278 (1975)
Collinge, W.O., Landis, A.E., Jones, A.K., Schaefer, L.A., Bilec, M.M.: Dynamic life cycle assessment: framework and application to an institutional building. Int. J. Life Cycle Assess. 18(3), 538–552 (2013)
Costanza, R.: Embodied energy and economic valuation. Science 210(4475), 1219–1224 (1980)
Crawford, R.H., Bontinck, P.A., Stephan, A., Wiedmann, T., Yu, M.: Hybrid life cycle inventory methods – a review. J. Clean. Prod. 172, 1273–1288 (2018). https://doi.org/10.1016/j.jclepro.2017.10.176
Eurostat: Database - Energy - Eurostat. https://ec.europa.eu/eurostat/web/energy/data/database
Eurostat: Glossary: Carbon dioxide equivalent. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Carbon_dioxide_equivalent
Fan, J.L., Hou, Y.B., Wang, Q., Wang, C., Wei, Y.M.: Exploring the characteristics of production-based and consumption-based carbon emissions of major economies: a multiple-dimension comparison. Appl. Energy 184, 790–799 (2016)
International Organization for Standardization: Environmental Management – Life Cycle Assessment Requirements and Guidelines (ISO 14044:2006) (2006)
Lueddeckens, S., Saling, P., Guenther, E.: Temporal issues in life cycle assessment—a systematic review. Int. J. Life Cycle Assess. 25(8), 1385–1401 (2020). https://doi.org/10.1007/s11367-020-01757-1
McConnell, D., et al.: Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the Australian National Electricity Market. Energy Policy 58, 17–27 (2013)
Patouillard, L., Bulle, C., Querleu, C., Maxime, D., Osset, P., Margni, M.: Critical review and practical recommendations to integrate the spatial dimension into life cycle assessment. J. Clean. Prod. 177, 398–412 (2018). https://doi.org/10.1016/j.jclepro.2017.12.192
Rahimifard, S., Seow, Y., Childs, T.: Minimising embodied product energy to support energy efficient manufacturing. CIRP Ann. 59(1), 25–28 (2010)
Rintamäki, T., Siddiqui, A.S., Salo, A.: Does renewable energy generation decrease the volatility of electricity prices? an analysis of Denmark and Germany. Energy Econ. 62, 270–282 (2017). https://doi.org/10.1016/j.eneco.2016.12.019
Tranberg, B., Corradi, O., Lajoie, B., Gibon, T., Staffell, I., Andresen, G.B.: Real-time carbon accounting method for the European electricity markets. Energy Strat. Rev. 26, 100367 (2019)
United Nations Framework Convention on Climate Change: The Paris Agreement|UNFCCC. https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement
Wiendahl, H.P., et al.: Changeable manufacturing - classification, design and operation. CIRP Ann. 56(2), 783–809 (2007)
Acknowledgements
The research has been co-financed by the European Union’s Horizon 2020 Program under Grant Agreement No. 958478 entitled ‘ENERgy-efficient manufacturing system MANagement’.
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Leherbauer, D., Hehenberger, P. (2023). Real-Time Allocation of Volatile Energy Related Emissions in Manufacturing. In: Noël, F., Nyffenegger, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies. PLM 2022. IFIP Advances in Information and Communication Technology, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-031-25182-5_58
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DOI: https://doi.org/10.1007/978-3-031-25182-5_58
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