Digital transformation and ensuring a better use of industrial data, which can optimise steel supply chains (Clean Steel Partnership) (IA)
European Comission
ExpectedOutcome :
As mentioned in the Clean Steel Partnership (CSP) Strategic Research and Innovation Agenda (SRIA),[1] digitalisation and social aspects are both addressed in the Building Block (BB) 10 because of their strong role of enabling the carbon neutral transition. In particular, digitalisation enables all the other BBs, as evidenced in Table 12 of the CSP SRIA. So, the optimal deployment of digitalisation implementing the integrated approach along the steel value chain must be provided according to outcomes and scopes defined below.
Projects are expected to contribute to one or more of the following outcomes:
- Increasing awareness and effectivity leading to total safety of steel manufacturing processes and CO2 reduction through digital transition with better use of industrial data;
- Extension of inline and real-time tools to monitor and control sustainability of the running process conditions, to set up countermeasures to stay into the optimal process window; this includes, but is not limited to, energy and (intermediate) product quality forecasting, online comparison between forecast and realisation, control of metal slag;
- Enhancement of the in-line classification of feedstock and intermediate products through the continuous analysis of composition and bulk properties by applying holistic soft sensor approaches considering the assembly of sensors, specific models, and advanced data processing according to SRIA (specifically see page 41, 42 of the SRIA);
- Increasing effective and secure data sharing in steel plants to realise the seamless digital integration of the value chain and the interoperability of systems and tools by implementation of existing and enhanced standardised protocols;
- Novel sensors and models for real-time process control (see page 41, 42 of the SRIA), such as, but not limited to, metal slag parameters (e.g., composition) and temperature measurement, slag analysis, off-gas analysis, energy forecasting to match demand and offered mix in the power grid considering energy generated from renewable sources; the latter could require cooperation between steel experts and electric power players in the market. The expected outcome is an enhanced merging of planning activities and approaches to run plant processes;
- Application of digital technologies such as, for example, Digital Twins and/or enhanced statistical analysis, machine learning (ML) algorithms, or artificial intelligence (AI) to develop decision-supported planning and process monitoring tools operable in offline or online modes;
- Traceability of materials and process information throughout the value chain to promote improved product quality, efficiency and process integration control (including multi-scale modelling of structure, and structure vs. properties correlations). Scope :
Multidisciplinary research activities should address one or more of the following topics:
- Novel sensors, soft sensors and related models and approaches to reduce the carbon footprint by merging the use of sensors and data processing capabilities for huge volumes of heterogeneous data streams; systems / tools enabling the transition from legacy into new architectures capable to supply data in a seamless way “when, where and what” including the development and testing of implementation guidelines. This should enable the traceability of materials and process information throughout the value chain to promote improved product quality, efficiency and integrated process control and management (including multi-scale modelling of structure, and structure vs. properties correlations);
- Statistics coupled with outstanding analytical capabilities to improve data quality and to help steel plant operators to increase the process yield and to improve the quality of intermediates and final steel products, while addressing the best approach to limit carbon emissions;
- The application of combinations of advanced digital technologies, such as but not limited to model-based, knowledge-based and data-based methods, artificial intelligence (AI), supercomputing, edge computing, cloud systems and internet of things (IoT) to develop decision-supported planning and process monitoring tools for clean steel manufacturing operable in offline or online modes;
- Involvement of operators and process experts in the design and development phases of digital technology integration, ensuring the uptake of human experiences and a user-friendly processing of results for easier industrial integration (see Table 12 row 3 of the CSP SRIA[2]). This may also include issues of skilling and standardisation and man-machine interaction by deploying Virtual and Augmented Reality techniques.
This topic implements the co-programmed European Partnership on Clean Steel.
Specific Topic Conditions :
Activities are expected to start at TRL 5 and achieve TRL 6-7 by the end of the project – see General Annex B.
[1]https://www.estep.eu/assets/CleanSteelMembersection/CSP-SRIA-Oct2021-clean.pdf
[2]https://www.estep.eu/assets/CleanSteelMembersection/CSP-SRIA-Oct2021-clean.pdf
General conditions
- Admissibility conditions: described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.
Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.
- Eligible countries: described in Annex B of the Work Programme General Annexes.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide .
- Other eligibility conditions: described in Annex B of the Work Programme General Annexes.
If projects use satellite-based earth observation, positioning, navigation and/or related timing data and services, beneficiaries must make use of Copernicus and/or Galileo/EGNOS (other data and services may additionally be used).
Financial and operational capacity and exclusion: described in Annex C of the Work Programme General Annexes.
Evaluation and award:
Award criteria, scoring and thresholds are described in Annex D of the Work Programme General Annexes.
Submission and evaluation processes are described in Annex F of the Work Programme General Annexes and the Online Manual .
Indicative timeline for evaluation and grant agreement: described in Annex F of the Work Programme General Annexes.
- Legal and financial set-up of the grants: described in Annex G of the Work Programme General Annexes.
Eligible costs will take the form of a lump sum as defined in the Decision of 7 July 2021 authorising the use of lump sum contributions under the Horizon Europe Programme – the Framework Programme for Research and Innovation (2021-2027) – and in actions under the Research and Training Programme of the European Atomic Energy Community (2021-2025). [[This decision is available on the Funding and Tenders Portal, in the reference documents section for Horizon Europe, under ‘Simplified costs decisions’ or through this link: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ls-decision_he_en.pdf]].
Specific conditions
- Specific conditions: described in the specific topic of the Work Programme.
Documents
Call documents:
Standard application form (HE RIA, IA) — call-specific application form is available in the Submission System
Standard evaluation form (HE RIA, IA) — will be used with the necessary adaptations
Lump Sum MGA v1.0 — MGA
Guidance: "Lump sums - what do I need to know?"
Additional documents:
HE Main Work Programme 2023–2024 – 1. General Introduction
HE Main Work Programme 2023–2024 – 7. Digital, Industry and Space
HE Main Work Programme 2023–2024 – 13. General Annexes
HE Framework Programme and Rules for Participation Regulation 2021/695
HE Specific Programme Decision 2021/764
Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment
EU Grants AGA — Annotated Model Grant Agreement
Funding & Tenders Portal Online Manual