GX & Decarbonization Research

Cheryl O. Tayo

This bibliometric study analyzes global development of intelligent technologies for blue carbon ecosystem monitoring, using 7,054 Scopus publications (1971-2026) with Bibliometrix and VOSviewer. It reveals accelerated growth post-2010, them…

Zhen Wang

This paper proposes a collaborative decision system for low-carbon navigation of multiple ships using federated learning (FL). By training models without sharing raw data, it reduces fuel consumption and CO2 emissions while preserving data …

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…

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…

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 …

Jérome Dierickx

The TRUSTEX project develops interoperable digital infrastructures for Digital Product Passports (DPPs) in textiles, addressing fragmented supply chains and lack of standards. It leverages PCDS (ISO 59040) and combines AI-driven data valida…

Anastasiia Belova, Artem Revenko, Viola Gallina +2

This paper analyzes requirements for the EU's Digital Product Passport (DPP) system, focusing on the role of knowledge graphs and data spaces in tracking product carbon footprints. It emphasizes the need for accessible and affordable techno…

Chuan Chen, Huanhuan Ren, Chen Liu +6

To address data fragmentation and inaccuracy in carbon footprint accounting for EV traction batteries, a trusted data space architecture was developed, improving data integration efficiency by over 65% and reducing accounting error from 18%…

(著者不明)

This paper proposes an accessible carbon accounting framework for SMEs, integrating simplified emission tracking, cloud-based data management, and modular reporting templates. Machine learning enhances data accuracy, reducing reporting cost…

Danhui Lai, Zhang Zeqi, Yingjie Li +2

This paper applies the FP-Growth association rule algorithm to product carbon footprint (CFP) certification data sharing and tracing, extracting emission-related rules across supply chain nodes. Compared with the Apriori method, it reduces …

Y.S. Cho, Arbind Agrahari Baniya, Kieran Murphy

This study proposes a traceability framework for horticulture using global data standards to capture on-farm events with decentralized identification and secure sharing. Tested on Victorian farms and an international export pilot, it suppor…

Tao Wang, Yang Shen

Using panel data of Chinese A-share listed firms (2013-2023) and double machine learning, this study finds that supply chain digitalization (SCD) significantly improves enterprise green transformation performance (EGTP). Effects are stronge…

Lukas Nagel, Rainer Gerstbauer, Levon Harutyunyan +3

This paper proposes a data-provision method to predict carbon footprints across supply chains during the strategic planning stage of product development, aligning with EU climate neutrality goals. Leveraging the Gaia-X data infrastructure, …

Zhouhui Zhang, xinyu Liu, Xin‐Rong Zhang

This paper addresses energy consumption and environmental issues in agricultural cold chains, proposing AI and IoT for energy saving and low-carbon operations. It notes refrigeration accounts for ~80% of energy use and cold transport emits …

Manuel Reif, Christiana Plociennik, Mohammad Hossein Rimaz +2

This paper proposes a Digital Product Passport (DPP) combining Gaia-X principles with the Asset Administration Shell, enabling interoperable access to product data via distributed submodels. Demonstrated through a practical Scope 3 carbon f…

Srikanta Routroy, Prasanta K. Sahu, Prem Chhetri

This editorial introduces a special issue on decarbonizing logistics and supply chains, highlighting strategies such as digital technologies, renewable energy, and circular economy. It emphasizes AI-driven decision support systems for reduc…

Wang Jingqi, Gao Yan†, Wu Zhiqiang, Li Renjie

This paper proposes a real-time pricing model incorporating load uncertainty and carbon trading in smart grids, maximizing welfare for both supply and demand. Using Q-learning to handle non-convex nonlinear problems, it contributes to renew…