FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381569578> ?p ?o ?g. }

• W4381569578 endingPage "1193" @default.
• W4381569578 startingPage "1169" @default.
• W4381569578 abstract "Abstract Purpose In prospective life cycle assessment (pLCA), inventory models represent a future state of a production system and therefore contain assumptions about future developments. Scientific quality should be ensured by using foresight methods for handling these future assumptions during inventory modelling. We present a stepwise approach for integrating future scenario development into inventory modelling for pLCA studies. Methods A transdisciplinary research method was used to develop the SIMPL approach for scenario-based inventory modelling for pLCA. Our interdisciplinary team of LCA and future scenario experts developed a first draft of the approach. Afterwards, 112 LCA practitioners tested the approach on prospective case studies in group work projects in three courses on pLCA. Lessons learned from application difficulties, misunderstandings and feedback were used to adapt the approach after each course. After the third course, reflection, discussion and in-depth application to case studies were used to solve the remaining problems of the approach. Ongoing courses and this article are intended to bring the approach into a broader application. Results and discussion The SIMPL approach comprises adaptations and additions to the LCA goal and scope phase necessary for prospective inventory modelling, particularly the prospective definition of scope items in reference to a time horizon. Moreover, three iterative steps for combined inventory modelling and scenario development are incorporated into the inventory phase. Step A covers the identification of relevant inventory parameters and key factors, as well as their interrelations. In step B, future assumptions are made, by either adopting them from existing scenarios or deriving them from the available information, in particular by integrating expert and stakeholder knowledge. Step C addresses the combination of assumptions into consistent scenarios using cross-consistency assessment and distinctness-based selection. Several iterations of steps A–C deliver the final inventory models. Conclusion The presented approach enables pLCA practitioners to systematically integrate future scenario development into inventory modelling. It helps organize possible future developments of a technology, product or service system, also with regard to future developments in the social, economic and technical environment of the technology. Its application helps to overcome implicit bias and ensures that the resulting assessments are consistent, transparently documented and useful for drawing practically relevant conclusions. The approach is also readily applicable by LCA practitioners and covers all steps of prospective inventory modelling." @default.
• W4381569578 created "2023-06-22" @default.
• W4381569578 creator A5008504603 @default.
• W4381569578 creator A5017437844 @default.
• W4381569578 creator A5039727711 @default.
• W4381569578 creator A5044214441 @default.
• W4381569578 creator A5061454228 @default.
• W4381569578 creator A5081429317 @default.
• W4381569578 creator A5090796545 @default.
• W4381569578 date "2023-05-30" @default.
• W4381569578 modified "2023-10-03" @default.
• W4381569578 title "A stepwise approach for Scenario-based Inventory Modelling for Prospective LCA (SIMPL)" @default.
• W4381569578 cites W1594949752 @default.
• W4381569578 cites W1975405928 @default.
• W4381569578 cites W1979125205 @default.
• W4381569578 cites W1982748232 @default.
• W4381569578 cites W1983213213 @default.
• W4381569578 cites W1992193293 @default.
• W4381569578 cites W2040090261 @default.
• W4381569578 cites W2040283802 @default.
• W4381569578 cites W2058927445 @default.
• W4381569578 cites W2102992776 @default.
• W4381569578 cites W2128695868 @default.
• W4381569578 cites W2135100044 @default.
• W4381569578 cites W2162942990 @default.
• W4381569578 cites W2290632334 @default.
• W4381569578 cites W2469314833 @default.
• W4381569578 cites W2469393341 @default.
• W4381569578 cites W2504727571 @default.
• W4381569578 cites W2550176476 @default.
• W4381569578 cites W2560781334 @default.
• W4381569578 cites W2585668940 @default.
• W4381569578 cites W2765732570 @default.
• W4381569578 cites W2800955922 @default.
• W4381569578 cites W2810073936 @default.
• W4381569578 cites W2887634224 @default.
• W4381569578 cites W2891597818 @default.
• W4381569578 cites W2901229363 @default.
• W4381569578 cites W2905729412 @default.
• W4381569578 cites W2969157711 @default.
• W4381569578 cites W2990758572 @default.
• W4381569578 cites W3003298453 @default.
• W4381569578 cites W3005167858 @default.
• W4381569578 cites W3005264948 @default.
• W4381569578 cites W3009746590 @default.
• W4381569578 cites W3023844262 @default.
• W4381569578 cites W3047447133 @default.
• W4381569578 cites W3081984728 @default.
• W4381569578 cites W3109774724 @default.
• W4381569578 cites W3110862938 @default.
• W4381569578 cites W3181205940 @default.
• W4381569578 cites W3212190520 @default.
• W4381569578 cites W4211233169 @default.
• W4381569578 cites W4220810663 @default.
• W4381569578 cites W4241580975 @default.
• W4381569578 cites W4248997686 @default.
• W4381569578 cites W4283583539 @default.
• W4381569578 doi "https://doi.org/10.1007/s11367-023-02175-9" @default.
• W4381569578 hasPublicationYear "2023" @default.
• W4381569578 type Work @default.
• W4381569578 citedByCount "1" @default.
• W4381569578 countsByYear W43815695782023 @default.
• W4381569578 crossrefType "journal-article" @default.
• W4381569578 hasAuthorship W4381569578A5008504603 @default.
• W4381569578 hasAuthorship W4381569578A5017437844 @default.
• W4381569578 hasAuthorship W4381569578A5039727711 @default.
• W4381569578 hasAuthorship W4381569578A5044214441 @default.
• W4381569578 hasAuthorship W4381569578A5061454228 @default.
• W4381569578 hasAuthorship W4381569578A5081429317 @default.
• W4381569578 hasAuthorship W4381569578A5090796545 @default.
• W4381569578 hasBestOaLocation W43815695781 @default.
• W4381569578 hasConcept C10138342 @default.
• W4381569578 hasConcept C111472728 @default.
• W4381569578 hasConcept C116834253 @default.
• W4381569578 hasConcept C127413603 @default.
• W4381569578 hasConcept C138885662 @default.
• W4381569578 hasConcept C139719470 @default.
• W4381569578 hasConcept C144133560 @default.
• W4381569578 hasConcept C154945302 @default.
• W4381569578 hasConcept C162324750 @default.
• W4381569578 hasConcept C18785705 @default.
• W4381569578 hasConcept C195094911 @default.
• W4381569578 hasConcept C199360897 @default.
• W4381569578 hasConcept C2776039514 @default.
• W4381569578 hasConcept C2778012447 @default.
• W4381569578 hasConcept C2778348673 @default.
• W4381569578 hasConcept C2778706760 @default.
• W4381569578 hasConcept C2779530757 @default.
• W4381569578 hasConcept C2987523184 @default.
• W4381569578 hasConcept C41008148 @default.
• W4381569578 hasConcept C42475967 @default.
• W4381569578 hasConcept C59822182 @default.
• W4381569578 hasConcept C64848388 @default.
• W4381569578 hasConcept C86803240 @default.
• W4381569578 hasConceptScore W4381569578C10138342 @default.
• W4381569578 hasConceptScore W4381569578C111472728 @default.
• W4381569578 hasConceptScore W4381569578C116834253 @default.
• W4381569578 hasConceptScore W4381569578C127413603 @default.

• next