A Digital value chain Integration Traceability framework for process industries for Circularity and low Emissions by waste reduction and use of secondary raw materials

Project Information

DigInTraCE

Grant agreement ID: 101091801

DOI

10.3030/101091801

EC signature date 14 November 2022

Start date 1 January 2023

End date 31 December 2026

Funded under

• Digital, Industry and Space

Total cost

€ 7 645 581,75

EU contribution

€ 7 645 581,50

Coordinated by

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (14)

Plastic parts and components analysis and origin for reuse optimisation v1

Identification of the chemical composition and classification of polymeric flakes is analysed, machine learning techniques controlling and optimizing processes and recipes are presented and integration of CLSC tool is evaluated. Related Task(s): T5.5

Digital Product Passport Concept v1

Document describes the required data captured and incorporated in DPPs in accordance with existing product information schemes and regulations, as well as a list of DPP features for the corresponding systems architecture. Related Task(s): T2.2

Sorting mechanisms for secondary streams valorisation v1

Document presents a set of requirements and associated technical specifications for sorting and describes the final sorting systems design and development for each value chain and demonstrator. Related Task(s): T3.2

Proteins recovery for wood-resin composite production v1

Extraction techniques, along with associated examined and optimised parameters for achieving maximum production yield will be presented, as well as analytical techniques for evaluation and drying method for obtaining final proteins described. Related Task(s): T5.2

Waste streams mapping

Initial assessment in terms of waste streams mapping per demonstrator is described, as an establishment of a baseline scenario focusing on potential hotspots related to production waste quality, cost, emissions, energy consumption and raw materials use. Related Task(s): T6.1

Novel Sensing technologies v1

Defines real-time monitoring requirements for each demonstrator and describes each systems final design, development, and validation procedure. Related Task(s): T3.1

Exploitation and Business Innovation Plan and activities v1

Initial (v1) version of the exploitation and business innovation plan and undertaken activities. Related Task(s):T7.3

Smart Tags v1

Deliverable exhibits Smart Tags use scenarios, presents tested real-time sensing and identification technologies and related results, approaches to support data integrity and integration, as well as stakeholders engagement strategies. Related Task(s): T3.3

Specifications definition and architecture of digital tracing v1

Presents produced technical specifications of the Decentralized Traceability platform architecture and the modules to be developed, including access rights, confidentiality issues and user roles. Related Task(s): T2.4

Wood by-products sorting and characterization for process optimisation v1

Deliverable involves characterization and classification requirements, in terms of by-products being directed towards specific valorization, and data analysis correlating secondary resource properties with the final products quality. Related Task(s): T5.3

Fingerprints and markers for recycled material content v1

Fingerprints distinguishing recycled from virgin material, identified for either degraded molecules or additives, along with testing conditions is described to provide a commercially available recycled PET content methodology. Related Task(s): T5.4

Communication and Dissemination plan and activities v1

Initial (v1), of the dissemination and communication plan and undertaken activities. Related Task(s): T7.5

Secondary materials quality characterization for recycle,reuse upgrade

Document analyses secondary materials markets for the four different value chains and pinpoints the recycling/reuse and upcycling quality requirements of each potential valorization pathway. Related Task(s): T5.1

Methodology of Traceability v1

Document defines a complete strategy for discriminating the level of tracking & tracing materials and methods to acquire associated data, with special attention to digital representation of unit of product in compliance with blockchain technology. Related Task(s):T2.1

Other (2)

Financial tool v1

Financial services toolkit designed after an initial review of available relevant marketplaces is described and related features in terms of market needs and pricing decision support on secondary and virgin materials are analyzed. Related Task(s): T4.3

MR enabler tool v1

Functionalities and characteristics of the MR enabled tool, e.g. type of data displayed, are presented, integration to the overall platform is described and demonstrated activities in the pilots are analyzed. Related Task(s): T4.4

Publications

Peer reviewed articles (4)

Robust Linear Quadratic Regulation Over Polytopic Time-Inhomogeneous Markovian Channels Under Generalized Packet Dropout Compensation

Author(s): Lun, Yuriy Zacchia; Santucci, Fortunato; D'Innocenzo, Alessandro
Published in: IEEE Control Systems Letters, 2024, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/LCSYS.2024.3521656

Optimal control over Markovian wireless communication channels under generalized packet dropout compensation

Author(s): Yuriy Zacchia Lun, Francesco Smarra, Alessandro D’Innocenzo
Published in: Automatica, Issue 176, 2025, ISSN 0005-1098
Publisher: Elsevier BV
DOI: 10.1016/J.AUTOMATICA.2025.112240

Wireless Control With Channel State Detection and Message Dropout Compensation

Author(s): Yuriy Zacchia Lun, Fortunato Santucci, Alessandro D’Innocenzo
Published in: IEEE Control Systems Letters, Issue 9, 2025, ISSN 2475-1456
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/LCSYS.2025.3580048

Valorization of Edible Oil Industry By-Products Through Optimizing the Protein Recovery from Sunflower Press Cake via Different Novel Extraction Methods

Author(s): Christoforos Vasileiou, Maria Dimoula, Christina Drosou, Eleni Kavetsou, Chrysanthos Stergiopoulos, Eleni Gogou, Christos Boukouvalas, Magdalini Krokida
Published in: AgriEngineering, Issue 7, 2025, ISSN 2624-7402
Publisher: MDPI AG
DOI: 10.3390/AGRIENGINEERING7050146

Conference proceedings (6)

Data driven finite abstractions by simulation relations with probabilistic guarantees using regression trees

Author(s): Alessandro D’Innocenzo, Khalil Ul Rehman, Yuriy Zacchia Lun
Published in: 2025 IEEE 64th Conference on Decision and Control (CDC), 2026
Publisher: IEEE
DOI: 10.1109/CDC57313.2025.11312108

Wood-based sorting system for wood valorisation purposes

Author(s): Ioannis Zorzos, Fotios K. Konstantinidis, Georgios Arvanitakis, Georgios Tsimiklis, Angelos Amditis
Published in: Procedia Computer Science, Issue 253, 2025, ISSN 1877-0509
Publisher: Elsevier BV
DOI: 10.1016/J.PROCS.2025.01.294

Smart Tags as Enablers for Digital Product Passports in Circular Electronics Value Chains

Author(s): Hakola, Liisa; Abedi, Fatemeh; Nordman, Sirpa; Smolander, Maria; Paltakari, Jouni
Published in: Circular Economy and Sustainability, 2025
Publisher: Springer
DOI: 10.1007/S43615-025-00500-Y

Learning Piecewise ARX Models via Regression Trees with Probabilistic Guarantees

Author(s): Alessandro D'Innocenzo Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, AQ, Italy ; Francesco Smarra
Publisher: IEEE
DOI: 10.23919/ECC64448.2024.10591171

Exploration and Mitigation of the Impact of Lighting Conditions on Multi-spectral Image Classification

Author(s): Sifnaios, S., Zorzos, I., Arvanitakis, G., Konstantinidis, F.K., Tsimiklis, G., & Amditis, A.J.
Published in: IEEE International Conference on Imaging Systems and Techniques (IST), 2023, ISSN 2832-4234
Publisher: IEEE
DOI: 10.1109/IST59124.2023.10355660

Optimization Framework of a RoboticPick and Place System for Waste Sorting

Author(s): Institute of Communication and Computer Systems
Published in: 2024
Publisher: Springer
DOI: 10.1007/978-3-031-76428-8_46