A5031008443- Combustion and flame dynamics
- Advanced Combustion Engine Technologies
- Catalytic Processes in Materials Science
- Wind and Air Flow Studies
- Radiative Heat Transfer Studies
- Fire dynamics and safety research
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Thermochemical Biomass Conversion Processes
- Combustion and Detonation Processes
- Heat transfer and supercritical fluids
- Gas Dynamics and Kinetic Theory
- Aerodynamics and Fluid Dynamics Research
- Atmospheric chemistry and aerosols
- Fluid Dynamics and Turbulent Flows
- Iron and Steelmaking Processes
- Refrigeration and Air Conditioning Technologies
- Model Reduction and Neural Networks
- Chemical Thermodynamics and Molecular Structure
- Turbomachinery Performance and Optimization
- Rocket and propulsion systems research
- Meteorological Phenomena and Simulations
- Probabilistic and Robust Engineering Design
- Catalysts for Methane Reforming
- Spectroscopy and Chemometric Analyses
- Computational Fluid Dynamics and Aerodynamics
Walloon Excellence in Lifesciences and Biotechnology
2024-2025
Vrije Universiteit Brussel
2015-2024
Université Libre de Bruxelles
2015-2024
École Polytechnique
2024
KTH Royal Institute of Technology
2023
Universitat Politècnica de València
2023
Weatherford College
2023
University Library in Bratislava
2022
Politecnico di Milano
2017-2022
University of Mons
2022
The development of processes with near-zero emissions such as MILD, flameless, and OXY-fuel combustion are great interest in various energy scenarios. assessment design new burners to meet demands pollution reduction strongly depends on an accurate description the chemistry involved process. main outcome this study is collection review a vast amount experimental data MILD methane that have been reported recent years, together thorough kinetic analysis identify aspects mechanism requires...
Proposals for achieving net-zero emissions by 2050 include scaling-up electrolytic hydrogen production, however, this poses technical, economic, and environmental challenges. One such challenge is policymakers to ensure a sustainable future the environment including freshwater land resources while facilitating low-carbon production using renewable wind solar energy. We establish country-by-country reference scenario demand in compare it with water availability. Our analysis highlights...
Abstract The current centralized configuration of the ammonia industry makes production nitrogen fertilizers susceptible to volatility fossil fuel prices and involves complex supply chains with long-distance transport costs. An alternative consists on-site decentralized using small modular technologies, such as electric Haber–Bosch or electrocatalytic reduction. Here we evaluate cost-competitiveness producing low-carbon at farm scale, from a solar agrivoltaic system, electricity grid, within...
The primary objective of the present work is to collect and review vast amount experimental data on rich laminar premixed flames hydrocarbon fuels reported in recent years, analyze them by using a detailed kinetic mechanism, identifying aspects mechanism PAH soot formation requiring further revisions. assessment was hierarchically conducted, with progressive extension core C0–C2 NUIG up CRECK formation. This here adopted evaluate extensive collected. Therefore, it provides guideline, useful...
In this work, we propose a novel data-driven approach for detailed kinetic mechanisms optimization. The is founded on curve matching-based objective function and includes methodology the optimisation of pressure-dependent reactions via logarithmic interpolation (PLOG format). order to highlight advantages new formulation function, comparison with L1 L2 norm performed. selection impactful carried out by introducing Cumulative Impact Function (CIF), while an Evolutionary Algorithm (EA) adopted...
We highlight the critical role of data in developing sustainable combustion technologies for industries requiring high-density and localized energy sources. Combustion systems are complex difficult to predict, high-fidelity simulations out reach practical because computational cost. Data-driven approaches artificial intelligence offer promising solutions, enabling renewable synthetic fuels meet decarbonization goals. discuss open challenges associated with availability fidelity data,...