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 14921–14940 of 36583 papers
Paula Marielle Ababao, Ian B. Benitez, Gabriel Avelino Sampedro
This study proposes a blockchain-integrated circular economy framework to enhance lifecycle tracking and emissions reporting for maritime ICT and energy materials. It combines Digital Product Passports, IoT telemetry, and smart contracts to…
Study on Load Sharing Ratio in the Structure of an Lined Rock Cavern for CAES
Zhang Yunlong, Zheng Kexun, Jiang Zhongming +3
This paper focuses on structural analysis of lined rock cavern gas storage for compressed air energy storage (CAES) plants, evaluating load sharing ratios among structural layers via elastoplastic analysis. It provides a basis for safety as…
Maneesha Dias, Hongxiu Li, Ulla A. Saari +4
The construction industry is resource-intensive and carbon-heavy. Buildings have long lifecycles (50-100 years), and data fragmentation among stakeholders is a key challenge. This paper reviews 25 SCOPUS articles and proposes a framework il…
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,…
masoumeh pourbagher, saeed aghasi
This study designs a green digital identity model based on technological innovation, using meta-analysis of 123 documents. It identifies five key dimensions: environmental sustainability, clean energy use, e-waste reduction, green technolog…
A. Ibach, L. Loeb, A. Kelm +3
This paper proposes process modeling for a Digital Product Passport (DPP) for cross-laminated timber (CLT) value chains. DPPs enhance transparency and circularity in construction, enabling carbon tracking. Promoting timber use contributes t…
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…
Deya Xu, Yunfan Zhang, Congcong Cao +2
Using panel data from 30 Chinese provinces (2005-2022), this study measures forestry green total factor productivity (GTFP) with a global super-efficiency SBM model, analyzes spatiotemporal patterns and regional disparities, and applies dyn…
Rylan Cox, Yağmur Ateşcan, Yousef Haddad +2
This paper proposes a framework for implementing Industry 4.0 technologies, including IoT and digital product passports, to enhance recyclability of aerospace materials and reduce GHG emissions from manufacturing, supporting the transition …
Magdalena Zabek, Nicolas Pastorelly, Sergio Velasquez +3
Over 85% of Europe's building stock fails energy-efficiency standards, necessitating large-scale retrofits. This framework integrates Circular Economy KPIs into façade retrofit workflows, linking a Material Database (MDB) with a digital Faç…
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…
Martin Popowicz, Nicolas J. Katzer, Antonia Pohlmann +3
This paper examines the potential of Digital Product Passports (DPP) as data providers for Life Cycle Assessment (LCA), using two automotive use cases. By mapping DPP data to LCA, it aims to improve efficiency and accuracy of environmental …
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 …
Harri Moora, Mariliis Haljasorg, Sirli Pehme +2
This study examines readiness of garment manufacturers for EU ESPR and Digital Product Passport (DPP) requirements, using surveys in Pakistan, Bangladesh, Turkey and a case study of upcycled garments for Estonia's Paris 2024 team. It identi…
Maryam Olaoti Shehu, Roma Almeida, Krushna Mahapatra
This study examines factors influencing adoption of digital tracking technologies (DTT) in Sweden's precast concrete sector using mixed methods (bibliometrics, sentiment analysis, interviews). It identifies barriers like high costs and infr…
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