Combining life cycle assessment and manufacturing system simulation: evaluating dynamic impacts from renewable energy supply on product-specific environmental footprints
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Abstract The eco-efficiency of actual production processes is still one dominating research area in engineering. However, neglecting the environmental impacts of production equipment, technical building services and energy supply might lead to sub-optimization or burden-shifting and thus reduced effectiveness. As an established method used in sustainability management, Life Cycle Assessment aims at calculating the environmental impacts from all life cycle stages of a product or system. In order to cope with shortcomings of the static character of life cycle models and data gaps this approach combines Life Cycle Assessment with manufacturing system simulation. Therefore, the two life cycles of product and production system are merged to assess environmental sustainability on product level. Manufacturing simulation covers the production system and Life Cycle Assessment is needed to relate the results to the final product. This combined approach highlights the influences from dynamic effects in manufacturing systems on resulting life cycle impact from both product and production system. Furthermore, the importance of considering indirect peripheral equipment and its effects on the manufacturing system operation in terms of output and energy demands is underlined. The environmental flows are converted into impacts for the five recommended environmental impact categories. Thus, it can be demonstrate that Life Cycle Assessment can enhance the process simulation and help identify hot-spots along the life cycle. The combined methodology is applied for analysing a case study in fourteen scenarios for the integration of volatile energy sources into energy flexible manufacturing control.
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Static data inventories that only take into account the current situation do not reflect the future prospects of the scenario.
“the use of in ventories that only take into account the current situation ( ' static ' data inventories) means that the future prospects of the scenario are not reflected [118].”
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Cited by
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Arias, A., Nika, C.-E., Vasilaki, V., Feijoo, G., Moreira, M. T., & Katsou, E. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.114427 · Cited by 62 · see citing works
- Authors
- Rödger, J.-M., Beier, J., Schönemann, M., Schulze, C., Thiede, S., Bey, N., Herrmann, C., & Hauschild, M. Z.
- Affiliations
- Ramboll (Germany) (DE)
- Boston Consulting Group (United States) (US)
- Technische Universität Braunschweig (DE)
- Technical University of Denmark (DK)
- Corresponding author
- Rödger, Jan-Markus
- Beier, Jan
- Schönemann, Malte
- Schulze, Christine
- Thiede, Sebastian
- Bey, Niki
- Herrmann, Christoph
- Hauschild, Michael Z.
- ORCID
- Venue
- International Journal of Precision Engineering and Manufacturing-Green Technology
- Published
- 2020-07-03
- Volume
- 8
- Issue
- 3
- Pages
- 1007-1026
- ISSN
- 2198-0810 (ISSN-L)
- 2288-6206
- OpenAlex
- W3039321111
- Cited by
- 75
- References
- 49
- Citations by year
- 2026: 9 · 2025: 15 · 2024: 20 · 2023: 13 · 2022: 10 · 2021: 8
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- International Journal of Precision Engineering and Manufacturing-Green Technology (publishedVersion, cc-by)
- University of Twente Research Information (publishedVersion, cc-by)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- University of Twente Research Information (submittedVersion, cc-by)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy Efficiency and Management
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- life cycle assessment, manufacturing simulation, environmental footprint, renewable energy supply, eco-efficiency, burden shifting, environmental impact categories, energy demand
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