Digital Product Passport energy and CO2 emission traces for Carbon Footprint calculation
カーボンフットプリント計算のためのデジタル製品パスポートのエネルギーおよびCO2排出トレース (AI 翻訳)
Ali, Osman Isik
🤖 gxceed AI 要約
日本語
本データセットは、製造現場のエネルギー測定データとコンポーネントレベルのデジタル製品パスポート(DPP)を組み合わせ、製品のカーボンフットプリントを計算するための基盤を提供する。エネルギー消費量(kWh)をCO2排出量(gCO2eq)に換算し、製造工程(アーム印刷、スマートコンベア、品質チェック)ごとのトレーサビリティを実現する。
English
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 (gCO2eq) and enables traceability across manufacturing steps (arm printing, smart conveyor, quality check).
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、サステナビリティ情報開示の義務化が進み、製品単位のカーボンフットプリント(CFP)への関心が高まっている。本データセットは、製造現場のエネルギー計測とDPPを統合する実践的な枠組みを示しており、国内製造業のCFP算定やScope 3対応に示唆を与える。
In the global GX context
Globally, the Digital Product Passport (DPP) is gaining traction under EU ESPR and CBAM, and this dataset demonstrates a practical implementation of DPP with energy and CO2 traces. It offers a template for manufacturers to align with emerging disclosure requirements and supply chain transparency.
👥 読者別の含意
🔬研究者:Provides a real-world dataset linking energy measurements to product-level carbon footprints, useful for validating carbon accounting methods.
🏢実務担当者:Offers a concrete data structure for implementing DPP and calculating product carbon footprints, aiding compliance with emerging regulations.
🏛政策担当者:Illustrates how DPP can be operationalized with energy data, informing policy on product-level carbon disclosure standards.
📄 Abstract(原文)
sf_val.xlsx — Energy & Diagnostic Measurement Dataset This Excel contains time-series machine data collected from the production environment.It includes both energy measurements and, when available, diagnostic attributes for individual readings. Column-by-Column Explanation Column Meaning customer_id Identifies the customer/tenant in our platform. This ID is unique per customer. ttl Time-to-live value in UNIX seconds. Used internally by our storage system to define how long the record remains stored. val Instantaneous measured value from the device. asset_id A unique ID generated by our platform for each machine, sensor, or sub-asset. This ID officially links the measurement to the correct machinery. timestamp UNIX timestamp (seconds). Exact moment when the measurement was recorded. Used to match readings with production events and manufacturing windows. details A structured diagnostic / metadata field. Example values include:• {'diagnostics': [{'name':'Unit','value':'W (Watt)'}]}• other key–value diagnostic data (units, sensor health, measurement metadata).This field is optional and appears only when the data source provides extended attributes. Meaning of Manufacturing Abbreviations (AP, SC, QC) Some assets or measurement groups use short functional prefixes to identify which part of themanufacturing process they belong to: Abbreviation Meaning Description AP Arm Printing Energy or sensor readings belonging to the arm printingprocess/station. SC Smart Conveyor Sensors associated with the conveyor movement and materialtransfer. QC Quality Check Inspection/measurement device readings used during thequality verification stage. These abbreviations appear in naming structures such as: • power_current_ap → power/current measurement for Arm Printing • power_current_sc → power/current measurement for Smart Conveyor • power_current_qc → power/current measurement for Quality Check Which Parts Are Used for Footprint Calculation? • val → used for energy calculations (W → kWh → CO₂). • asset_id → maps the measurement to the correct manufacturing step. • timestamp → selects the measurements belonging to the production cycle. Which Parts Are Metadata? • ttl • details (diagnostics) • customer_id These fields support storage, context, and sensor metadata but are not environmental-calculation values. dpp_assets.xlsx — Component Digital Product Passport Dataset This Excel contains the component-level Digital Product Passport (DPP) data used to buildthe complete DPP of each final product. Each row represents one product. It providescomponent identity, component grouping and operation information for multi-unit productionbatches. All component identifiers in this file are uniquely generated by our platform to ensure full traceability across the product lifecycle. Column-by-Column Explanation Column Meaning customer_id Identifies the customer/tenant in our platform. This ID distinguishes dataacross different organizations. ttl Time-to-live (UNIX seconds). Defines retention duration in our internal storage layer. val The DPP payload for the product. This includes many structured fields such as:• component and operation-level energy & CO₂• embedded raw material and operation emissions• component metadata (In this project, we didn't have component datainformation)• route data (if the component has its own processes/operations)• product_name and barcode_type• main_dpp_id client_id Identifies the client instance generating or owning the DPP record. asset_id The unique component DPP asset identifier (e.g., “Barcode_Dpp_CMC2”). This is used as the primary key when linking components to the final product'sDPP. timestamp When this component DPP was generated. Useful for traceability and orderingof components within a production batch. Understanding the Component DPP Structure (Column “val”) The val column stores a complete, serialized DPP structure for each component.Its content usually includes fields like: • barcode_type → type of barcode used – for our platform-specific • components → nested sub-components • route → if the component has internal manufacturing stages like arm printing, smartconveyor, assembly.. • energy_consumption → kWh linked to this product (calculated with Swiss Smart Factory Data – ssf_val.xlsx) • co2_emission → gCO₂eq linked to this product (calculated with Swiss Smart FactoryData – ssf_val.xlsx) • machine_id → machine used to produce this product • operator_id → operator identity (if available) • dpp_check → 0 or 1: for our platform-specific, it depends on user selection viainterface, • product_name → name of the product • main_dpp_id → the unique DPP ID of the component, essential for linking it into thefinal product's DPP (e.g., “CMC241030082955”) This means every row already contains a complete mini-passport for that product. Final Summary dpp_assets.xlsx contains component-level Digital Product Passports. Each row includes: • unique component DPP asset_id • detailed DPP payload (val) • component and route (manufacturing stages/processes/operations) environmentalfootprint data • barcode metadata
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.17775654first seen 2026-08-02 19:15:09
🔔 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。