Data space Layer for Wastewater digital Twins

Wastewater treatment plants generate large volumes of operational data that are often siloed, making it challenging to share them while preserving data sovereignty and enabling cross-domain collaboration. Developed within the scope of the European project TRINEFLEX, this work implements a dataspace layer using Eclipse Dataspace Components (EDC) to enable secure, sovereign, and interoperable data exchange. Operational data are exposed as sovereign assets to support predictive modelling, monitoring dashboards, and digital twin applications. The pilot demonstrates policy-compliant data sharing and provides a scalable framework for optimised Wastewater Treatment Plants (WWTP) operations.

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Publication Details

Journal
Digital Water
Published
2026-09-04
DOI
https://doi.org/10.1080/28375807.2026.2728371
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
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article

Data space Layer for Wastewater digital Twins

Asif Pasha Mohammed, Cristian Vega Muñiz
Digital Water
Smart Grid Security and Resilience
article

Data space Layer for Wastewater digital Twins

Asif Pasha Mohammed, Cristian Vega Muñiz
article en

Abstract

Wastewater treatment plants generate large volumes of operational data that are often siloed, making it challenging to share them while preserving data sovereignty and enabling cross-domain collaboration. Developed within the scope of the European project TRINEFLEX, this work implements a dataspace layer using Eclipse Dataspace Components (EDC) to enable secure, sovereign, and interoperable data exchange. Operational data are exposed as sovereign assets to support predictive modelling, monitoring dashboards, and digital twin applications. The pilot demonstrates policy-compliant data sharing and provides a scalable framework for optimised Wastewater Treatment Plants (WWTP) operations.

Digital Water
Technology Centre Prague (CZ)
Clean water and sanitation
Openalex Percentile: Top 14%
Smart Grid Security and Resilience
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