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A Decision Intelligence Platform for FLexible, Agile, Resilient, and Energy-Aware Processes

Objective

FLARE will enhance the resilience of energy-intensive industries by fusing flexibility with AI-driven decision intelligence, and proactive energy orchestration into a single platform, providing a system that can withstand, adapt and recover from the volatility and fluctuations in energy supply, cost and operational needs. Next-generation process flexibility goes far beyond the ability to switch production lines quickly; it requires the ability to embed real-time intelligence, reconfigurability, and energy-awareness into the core of manufacturing workflows, dynamically adapting to shifting conditions with enhanced human decision making. FLARE's mission is to create an adaptive, self-optimising manufacturing ecosystem where production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital twins, AI, and predictive analytics. Process equipment will seamlessly switch between energy sources, aligning operations with renewable availability, market demand, cost & energy efficiency. Energy-aware scheduling, self-healing control systems, and human–machine collaboration will ensure that factories remain productive, sustainable, and resilient even in the face of volatility. FLARE addresses significant challenges related to process design, system complexity and integration, flexibility vs. efficiency, holistic sustainability and investment assessment, workforce readiness and change management, focusing on multiple energy-intensive sectors, including chemical, steel and cement. Specifically, FLARE will demonstrate a significant impact on these sectors, including energy cost reductions of 10–15%, CO2 emissions reductions of 15–20%, waste reductions of 10–15%, and improved flexible response times of 10– 15 minutes across these three high-impact European example sites that act as living laboratories and demonstrate a pathway from prototype to market adoption.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL4-2025-01

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Coordinator

MUNSTER TECHNOLOGICAL UNIVERSITY
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 175 000,00
Address
ROSSA AVENUE BISHOPSTOWN
T12 P928 Cork
Ireland

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Region
Ireland Southern South-West
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 175 000,00

Participants (15)

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