An Approach for Model-Based Automated Environmental Product Declaration
- Global temperature rise, and growing consumption of limited resources are global threats. Therefore, industry and consumers will need to reduce their environmental im- pacts. For this Product Environmental Declarations (EPD) are used for eco design and product impact comparison. As EPDs are likely to become mandatory the total number of products to be assessed will increase tremendously. Therefore, the entire EPD work- flow will need to be automatized to allow large-scale application of EPDs. The goal of this thesis is to develop an automated workflow for EPDs (aEPD) by combining Model- Based-Systems Engineering (MBSE), Digital Twin and Life Cycle Assessment concepts. While MBSE is used for the multilevel requirements analysis the focus was set on auto- mating data collection along the supply and value chain using the AAS 4.0 Implementa- tion of the Digital Twin concept. The applicability of the aEPD workflow is shown in the prototypical implementation of an aEPD for an electric motor. Even though progress has been made research should be continued in the development of further AAS Submodel templates and PCRs to allow standardized data collection and communication on a global scale.
Verfasser*innenangaben: | Andreas Genest |
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URN: | urn:nbn:de:hbz:386-kluedo-71195 |
Betreuer*in: | Florian Balduf |
Dokumentart: | Masterarbeit |
Sprache der Veröffentlichung: | Englisch |
Datum der Veröffentlichung (online): | 26.01.2023 |
Jahr der Erstveröffentlichung: | 2023 |
Veröffentlichende Institution: | Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |
Titel verleihende Institution: | Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |
Datum der Publikation (Server): | 02.02.2023 |
Seitenzahl: | IX, 113 |
Fachbereiche / Organisatorische Einheiten: | Distance and Independent Studies Center (DISC) |
DDC-Sachgruppen: | 6 Technik, Medizin, angewandte Wissenschaften / 600 Technik |
Sammlungen: | Herausragende Masterarbeiten am DISC |
Lizenz (Deutsch): | Creative Commons 4.0 - Namensnennung (CC BY 4.0) |