This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 1721–1740 of 4240 papers
Mel Vermaas
This dataset and do-file support an MSc thesis analyzing the relationship between carbon prices and verified emissions using a panel of 1,869 EU ETS manufacturing installations (2013-2024). Log-log fixed effects models estimate the emission…
Jessica Strefler, Elmar Kriegler, Nico Bauer +21
Comparing eight integrated assessment models, this study analyzes the effects of additional climate policies targeting production, consumption, and land use on top of a moderate carbon price. The combination of these policies can close the …
Afshin Nazari, Pourya Pourhejazy
This review systematically maps co-optimization methods for energy storage placement, highlighting interactions with sizing, scheduling, and technology selection. It identifies investment cost and profitability as central objectives, and po…
Georgios Pardalis, Katharina Reindl, Jenny Palm
This study examines how consultants become structurally embedded in public energy governance, using Sweden's energy transition as a case. Based on 60 interviews and a system-dynamics approach, it identifies six feedback mechanisms that can …
Rehman S, Kazouz H, Subhan M
This study analyzes connectedness among Heavy Rare Earth Metals (HREMs), Light Rare Earth Metals (LREMs), and Rare Earth Processing Materials (REPMs) in China's rare earth value chain using a Quantile-on-Quantile Connectedness framework. It…
Chi FAN
This paper examines how the twin transition of digitalization and decarbonization reshapes green trade cooperation in the Belt and Road context. It analyzes mechanisms like CBAM, Ecodesign rules, and Digital Product Passports (DPP) that emb…
Linda Sagnier, Ann-Sophie Finner, Daniel Heinz +1
This study uses backcasting to envision a circular automotive industry by 2050, aligned with the European Green Deal. It explores how digital technologies like AI, digital twins, and product passports enhance data sharing, traceability, and…
Augustine Tochukwu Ekechi
This paper proposes a systems-level framework for lifecycle management and recycling of spent lithium-ion batteries, integrating design-for-circularity, digital traceability, and high-yield recovery technologies. It comprises five layers fr…
Natarajan Arunraaj
This paper comprehensively analyzes circular fashion as a pathway to sustainability, addressing environmental impacts, technological advances (enzymatic recycling, AI sorting), and new business models. It identifies systemic barriers and pr…
Anelia Kurteva, Carlo van der Valk, Kathleen McMahon +2
To advance circular economy in ICT, the RePlanIT ontology supports building Digital Product Passports (DPPs) for laptops and data servers, integrating device, component, material, and CE knowledge. Validated in a real-world case aiding sust…
Nada Sahlab, Hossein Rimaz, Prerna Juhlin +2
This study explores the use of Asset Administration Shell (AAS) and knowledge graphs to incorporate sustainability criteria in early product design. An EPD submodel is represented in RDF, enabling direct comparison of environmental indicato…
Jochen Deuse, David Wagstyl, Victor Hernandez Moreno +3
This paper explores how green digital twins contribute to sustainable industrial production across the product life cycle. It highlights opportunities and challenges in revealing emissions and constructing green digital twins for various pu…
Linda Eckert, Ann-Sophie Finner, Daniel Heinz +1
This study uses backcasting to envision a circular automotive industry by 2050, aligned with the European Green Deal. It examines how digital technologies like AI, digital twins, and product passports enhance data sharing, traceability, and…
Ali, Osman Isik
This dataset provides a foundation for calculating product carbon footprints by combining energy measurement data from manufacturing with component-level Digital Product Passports (DPP). It converts energy consumption (kWh) to CO2 emissions…
Thomas Stridsland, William Biørnstad, Kristina Vigen +2
This case study of Danish clothing company MASCOT uses a GHG Protocol-compliant open-access emissions inventory, finding 85% of emissions in scope 3 (76% purchased goods/services). It highlights supplier data gaps and inconsistencies, calli…
Zhang Timing, Wang Yong, Zhao Weimin +3
This study investigates hydrogen permeation in X80 pipeline steel and its weld heat-affected zone (HAZ) under high-pressure coal gasification environments. Using welding thermal simulation, specimens from different HAZ subzones were tested,…
Björn Johansson, Mélanie Despeisse, Jon Bokrantz +29
This editorial outlines challenges and opportunities in manufacturing research for sustainable battery life cycles. It identifies four themes: digitalization and automation, human-centric production, circular battery systems, and future val…
Hans-Dieter Wehle
This chapter examines how AI-enhanced Digital Product Passports (DPPs) can support ESG transparency in Industry 5.0. It proposes a modular software architecture combining machine learning for carbon forecasting, anomaly detection, and impac…
Frederik Dahlmann, Jens K. Roehrich
This study analyzes how companies engage their supply chain partners in climate mitigation using CDP supply chain survey data. Grounded in organizational information processing theory, it finds that firms prioritize accurate Scope 3 measure…
Fatemeh Stodt, Nicolai Maisch, Philipp Ruf +3
This paper proposes a blockchain-based concept for Digital Product Passports (DPP) to enhance sustainability in EU supply chains. It combines Secret Network and Gaia-X to enable secure, confidential sharing of carbon footprint and material …
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