Improving Circularity in Brewing through Data Spaces: A Case Study in Carbon Footprint Allocation
データスペースによる醸造の循環性向上：炭素フットプリント配分のケーススタディ (AI 翻訳)
Jan Niklas Buescher, Victoria Pohl, Daniel Ditterich, Florian Hoffmann, René Wöstmann, Colin Müller, David Wagstyl, Lucas Fochler, Jochen Deuse
🤖 gxceed AI 要約
日本語
本論文は、データスペースを活用した状態監視が循環経済戦略と持続可能性を強化する方法を、RIF Cyber Physical Brewhouseを事例に探求する。Factory-Xプロジェクト内での文献レビューと定性インタビューに基づき、データスペースがライフサイクル意思決定にどう寄与するかを示す。具体的には、Festoの産業用バルブ端子台を対象に、RGradingサービスで循環可能性を評価し、PCF管理サービスで残存寿命に基づく炭素フットプリント配分を提案する。
English
This paper explores how data space-based condition monitoring can enhance circular economy strategies and sustainability in industrial production, using the RIF Cyber Physical Brewhouse as a case study. Drawing on a literature review and qualitative interviews within the Factory-X project, it shows how sharing operational and environmental data through a federated data space informs lifecycle decisions. Two services are proposed: an RGrading service for circularity potential and a Product Carbon Footprint (PCF) Management Service that allocates PCF based on remaining useful life. A method for assigning the valve's initial PCF to the brewing process is illustrated.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、データスペースを活用したサプライチェーン全体の炭素フットプリント配分は、SSBJ開示やScope 3算定の実務に直結する。特に、製品ごとのPCF配分は、自動車や電機産業でのサプライヤー連携に応用可能であり、データ主導の循環経済推進に寄与する。
In the global GX context
Globally, this paper contributes to the emerging field of data spaces for sustainability, aligning with EU initiatives like Gaia-X and Factory-X. It offers a practical method for allocating product carbon footprints across the value chain, which is relevant for CSRD and other disclosure requirements. The approach supports circular economy goals by integrating environmental metrics into operational decisions, a key aspect of transition finance and sustainable supply chain management.
👥 読者別の含意
🔬研究者:Provides a conceptual framework and case study for integrating data spaces with carbon footprint allocation, useful for further research in industrial sustainability.
🏢実務担当者:Offers a method for allocating product carbon footprints and assessing circularity potential, applicable for corporate sustainability teams in manufacturing.
🏛政策担当者:Highlights the role of data spaces in enabling circular economy and carbon transparency, informing policies on data sharing and sustainability reporting.
📄 Abstract（原文）
This paper explores how data space-based condition monitoring can enhance circular economy strategies and support sustainability in industrial production, using the RIF Cyber Physical Brewhouse as a case study. Data spaces, characterized by sovereign, interoperable, and trust-based data exchange, enable secure collaboration across stakeholders in the value chain. Drawing on a literature review and qualitative interview study within the Factory-X research project, the paper investigates the relevance of data spaces for sustainability from an industrial engineering perspective. The conceptual framework shows how sharing timely operational and environmental data through a federated data space for Festo's industrial valve terminal can inform lifecycle decisions. Two complementary services are used: a RGrading service assesses circularity potential (Reuse, Recycle, Remanufacture, Refurbish), while a Product Carbon Footprint (PCF)-Management Service allocates the component’s PCF based on its estimated remaining useful life. A method for assigning the valve’s initial PCF to the brewing process is proposed, illustrating how data spaces can operationalize sustainability goals and help industrial engineers integrate environmental metrics into operational planning decisions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1109/ieem63636.2025.11357614first seen 2026-08-02 17:22:49
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。