Shared Data Ecosystems - Enabler for a Green Production
Year: 2024
Type: conference-paper
Abstract: The EU's goal of climate neutrality by 2050 and a 55% emissions reduction by 2030 requires a reevaluation of industrial processes. In 2023, the industrial sector was responsible for about 24% of Germany's greenhouse gas emissions [1]. Additionally, regulations like the Corporate Sustainability Reporting Directive (CSRD) require companies to identify and implement emission reduction measures. To achieve climate neutrality, the carbon footprint of products is crucial for tracking emissions and identifying savings. Quantifying CO₂ emissions provides companies with transparency and a basis for reducing their environmental impact. Up to 80% of a product's carbon footprint is influenced by decisions made during product development [2]. In the following, we present our results from the Gaia-X lighthouse project EuProGigant. We show how shared data ecosystems enable a greener production by illustrating the exemplary use case of stakeholders in manufacturing data ecosystems that use trustworthy data exchange to forecast product carbon footprints and develop low CO₂ emission products [3].
Authors: Weigold, Matthias, Fuhrländer-Völker, Daniel
Institution: Technische Universität Darmstadt
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893037957
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