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Protocol for data-driven Manifold generation, validation, and utilization in high-fidelity combustion simulations

Project description

Advanced flame simulations to enable cleaner combustion systems

Designing efficient combustion systems for carbon-neutral fuels like hydrogen and ammonia is key to reducing emissions in industries such as aviation, shipping and heavy-duty applications. However, simulating turbulent flames in these systems is extremely resource-intensive and time-consuming. Therefore, simulations are not often used in real-world design processes. The ERC-funded ProtoMan project plans to use manifold-based models to significantly reduce computational costs without losing accuracy. This will be achieved by new models that pre-calculate thermochemical states instead of repeatedly recalculating them. In addition, 2D flamelet theory will be combined with machine learning to use these models. ProtonMan aims to accelerate advancements in energy systems, environmental protection and industrial processes, supporting the global shift to sustainable energy.

Objective

For a clean energy future, combustion technologies require profound innovation as they remain essential for providing industrial heat, powering aviation and maritime shipping, supporting heavy-duty applications, and enabling long-term energy storage. To support and accelerate these sectors' transition to carbon-neutral and zero-carbon fuels (such as H2 and NH3), advanced numerical simulations of reacting flows are expected to play an important role. These simulations provide unique insights into the dynamics of turbulent flames in novel gas turbines or industrial furnaces - essential technological devices for the energy transition. However, high-fidelity simulations of turbulent reacting flows demand extensive computing resources, specialized software, and expert knowledge. Due to the multi-scale nature of combustion, even large research institutions face a trade-off between strong simplifications and extensive simulation runtimes, limiting their simulations' applicability for design processes. Manifold-based models offer a promising solution to reduce computational costs without compromising accuracy. By exploiting the self-similarity inherent to reacting flows, these models enable pre-tabulation of thermochemical states instead of repeated recalculations, resulting in significant simulation speed-ups by factors of 10 up to 1,000. Despite this extraordinary potential, there does not exist a straightforward approach to construct these manifolds for general conditions and current methods remain largely heuristic. ProtoMan seeks to unlock the potential of manifold-based models leveraging the synergy between recent advances in 2D flamelet theory and machine learning techniques. Implementing a systematic protocol for data-driven manifold generation, assessment, and utilization, the project aims to make these highly efficient models more accessible, contributing to advancements in energy systems, environmental protection, fire safety, and modern industrial processes.

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(opens in new window) ERC-2025-STG

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Host institution

TECHNISCHE UNIVERSITAT DARMSTADT
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.

€ 1 498 151,00
Address
KAROLINENPLATZ 5
64289 DARMSTADT
Germany

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Region
Hessen Darmstadt Darmstadt, Kreisfreie Stadt
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.

€ 1 498 151,00

Beneficiaries (1)

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