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Department of Mechanical and Production Engineering

Publications by Fluids and Energy

Are you looking for publications by Section of Fluids and Energy? On this page you can find all the publications made by the Section of Fluids and Energy - Department of Mechanical and Production Engineerin, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and title. The list can be sorted by date, author, and title:

List of Publications

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Asghari, M., Ivetich, S. D., Aslan, M. K., Aramesh, M., Melkonyan, O., Meng, Y., Xu, R., Colombo, M., Weiss, T., Balabanov, S., Stavrakis, S. & deMello, A. J. (2024). Real-time viscoelastic deformability cytometry: High-throughput mechanical phenotyping of liquid and solid biopsies. Science Advances, 10(49), Article eabj1133. https://doi.org/10.1126/sciadv.abj1133

Amarloo, A., Zehtabiyan-Rezaie, N. & Abkar, M. (2024). A progressive data-augmented RANS model for enhanced wind-farm simulations. Energy, 313, Article 133762. https://doi.org/10.1016/j.energy.2024.133762

Alamia, A., Partoon, B., Rattigan, E. & Bruun Andresen, G. (2024). Optimizing hydrogen and e-methanol production through Power-to-X integration in biogas plants. Energy Conversion and Management, 322, Article 119175. https://doi.org/10.1016/j.enconman.2024.119175

Yang, X. I. A., Zhang, W., Abkar, M. & Anderson, W. (2024). Computational fluid dynamics: Its carbon footprint and role in carbon reduction. Journal of Renewable and Sustainable Energy, 16(5), Article 055906. https://doi.org/10.1063/5.0217320

Migliorini, M., Doll, U., Lawson, N. J., Melnikov, S. M., Steinbock, J., Dues, M., Zachos, P. K., Röhle, I. & MacManus, D. G. (2025). Advancements on the use of Filtered Rayleigh Scattering (FRS) with Machine learning methods for flow distortion in Aero-Engine intakes. Experimental Thermal and Fluid Science, 160, 111325. Article 111325. https://doi.org/10.1016/j.expthermflusci.2024.111325

Colombo, M., Chaudhry, P., Oberholzer, Y. & deMello, A. J. (2023). Integrative modeling of hemodynamic changes and perfusion impairment in coronary microvascular disease. Frontiers in Bioengineering and Biotechnology, 11, Article 1204178. https://doi.org/10.3389/fbioe.2023.1204178

Colombo, M., Meng, Y., Poirier-Quinot, M., Rollet, A. L., Geeverding, A., Delcea, M., deMello, A. J. & Abou-Hassan, A. (2024). Assessing the Effect of Magnetite Nanoflowers on Platelets in a Multiscale Approach in the Context of Thromboembolic Diseases. ACS Applied Nano Materials, 7(17), 20085-20093. https://doi.org/10.1021/acsanm.4c02715

Farah, S. (2024). Green hydrogen production: cost and CO2 emissions co-optimisation. Poster session presented at Aarhus Power-to-X Symposium 2024, Aarhus, Denmark.

Farah, S., Bokde, N. & Andresen, G. B. (2024). Cost and CO₂ emissions co-optimisation of green hydrogen production in a grid-connected renewable energy system. International Journal of Hydrogen Energy, 84, 164-176. https://doi.org/10.1016/j.ijhydene.2024.08.062

Migliorini, M., Zachos, P. K., Macmanus, D. G., Doll, U., Dues, M., Steinbock, J., Dues, F., Siswanto, A., Melnikov, S. M. & Röhle, I. (2024). Seeding-free inlet flow distortion measurements using filtered Rayleigh scattering: integration in a complex intake test facility. Paper presented at AIAA SciTech Forum and Exposition, 2024, Orlando, United States. https://doi.org/10.2514/6.2024-2831

Dues, M., Dues, F., Steinbock, J., Melnikov, S., Doll, U., Röhle, I., Migliorini, M. & K. Zachos, P. (2024). 2D3C Measurement Of Velocity, Pressure And Temperature Fields In A Intake Flow Of An Air Turbine By Filtered Rayleigh Sattering (FRS) And Validation With LDV And PIV. In 21th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics https://doi.org/10.55037/lxlaser.21st.21

Doll, U., Kapulla, R., Dues, M., Steinbock, J., Melnikov, S., Röhle, I., Migliorini, M. & K. Zachos, P. (2024). Towards Time-Resolved Multi-Property Measurements By Single-Frequency FRS. In 21th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics https://doi.org/10.55037/lxlaser.21st.19

Faldella, F., Kim, T., Doll, U. & Jansohn, P. (2024). Effect of pressure and H₂ content on global consumption-based turbulent flame speed at gas turbine relevant conditions. International Journal of Hydrogen Energy, 81, 842-851. https://doi.org/10.1016/j.ijhydene.2024.07.282

Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Østergaard, P. A., Sorknæs, P., Nielsen, S., Thøis Madsen, P. & Bruun Andresen, G. (2024). Cost and systems effects of nuclear power in carbon-neutral energy systems. Applied Energy, 371, Article 123705. https://doi.org/10.1016/j.apenergy.2024.123705

Arumugam, V. K., Mantzaras, J., Gantenbein, A., Doll, U. & Schildhauer, T. (2024). Experimental and numerical investigation of high-pressure methane catalytic synthesis from H2 and CO2. Proceedings of the Combustion Institute, 40(1-4), Article 105206. https://doi.org/10.1016/j.proci.2024.105206

Cremoncini, D., Frate, G. F., Bischi, A., Pedersen, T. T., Bruun Andresen, G., Bentien, A. & Ferrari, L. (2024). Optimal participation of a wind and hybrid battery storage system in the day-ahead and automatic frequency restoration reserve markets. Journal of Energy Storage, 94, Article 112309. https://doi.org/10.1016/j.est.2024.112309

Strässle, R. M., Faldella, F. & Doll, U. (2024). Deep learning-based image segmentation for instantaneous flame front extraction. Experiments in Fluids, 65(6), Article 94. https://doi.org/10.1007/s00348-024-03814-z

Ninno, F., Chiastra, C., Colombo, M., Dardik, A., Strosberg, D., Aboian, E., Tsui, J., Bartlett, M., Balabani, S. & Díaz-Zuccarini, V. (2024). Modelling lower-limb peripheral arterial disease using clinically available datasets: impact of inflow boundary conditions on hemodynamic indices for restenosis prediction. Computer Methods and Programs in Biomedicine, 251, Article 108214. https://doi.org/10.1016/j.cmpb.2024.108214

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2024). Assessment of Roughness Characterization Methods for Data-Driven Predictions. Flow, Turbulence and Combustion, 113(2), 275-292. https://doi.org/10.1007/s10494-024-00549-z

Moon, J., Mahravan, E. & Kim, D. (2024). Mutual interaction of a collapsing bubble and a nearby viscoelastic solid. Physical Review Fluids, 9(4), Article 043603. https://doi.org/10.1103/PhysRevFluids.9.043603

Gøtske, E. K. (2024). Energy storage and climate impacts on the future renewable European energy system. Aarhus University.

Zehtabiyan-Rezaie, N., Amarloo, A. & Abkar, M. (2024). Secondary flows in the actuator-disk simulation of wind-turbine wakes. Physics of Fluids, 36(4), Article 045142 . https://doi.org/10.1063/5.0203068

I. A. Yang, X., Abkar, M. & I. Park, G. (2024). Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime. Journal of Fluids Engineering, Transactions of the ASME, 146(8), Article 081501. https://doi.org/10.1115/1.4064850

Bruun Andresen, G. (2024, Apr). det lykkelige Nordsøen - genåbning af Danmarks største gas-felt, Tyra-feltet. Instagram.com. https://www.instagram.com/p/C50BZMOMwXU/?igsh=dXQ5anoweTc1NHFk&img_index=1

Alamia, A. & Bruun Andresen, G. (2024). Modelling Alternatives for integrted PtX infrastrcture between Denmark and EU. Poster session presented at 12th European Open Energy Modelling Workshop, Grenoble, France.

Giauque, A., Giguet, C., Vadrot, A. & Corre, C. (2024). A priori test of Large-Eddy Simulation models for the Sub-Grid Scale turbulent stress tensor in perfect and transcritical compressible real gas Homogeneous Isotropic Turbulence. Computers and Fluids, 268, Article 106091. https://doi.org/10.1016/j.compfluid.2023.106091

Sanz Cuadrado, C., Cristóbal, A. B., Zhang, Z., Rahdan, P. & Victoria, M. (2022). Achieving a New European Energy Awareness (AURORA): Deliverable 1.1 – Near-Zero Emissions Citizens Label. https://www.aurora-h2020.eu/wp-content/uploads/2022/09/D1.1-Near-Zero-Emission-Citizens-Label-PU.pdf

Rahdan, P., Zeyen, E., Gallego-Castillo, C. & Victoria, M. (2024). Distributed photovoltaics provides key benefits for a highly renewable European energy system. Applied Energy, 360, Article 122721. https://doi.org/10.1016/j.apenergy.2024.122721

I. A. Yang, X. & Abkar, M. (2024). Grid Convergence Properties of Wall-Modeled Large-Eddy Simulations in the Asymptotic Regime. In ASME 2023 International Mechanical Engineering Congress and Exposition: Fluids Engineering (Vol. 9). Article IMECE2023-116581, V009T10A017 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2023-116581

Alvandifar, N., Kristofersson, J. & Forooghi, P. (2024). Frost formation non-uniformity in a multi-circuit V-shape evaporator. International Journal of Refrigeration, 157, 137-149. https://doi.org/10.1016/j.ijrefrig.2023.10.018

Pedersen, M. T., Vilgis, T. A., Brewer, J. R., Hansen, P. L. & Clausen, M. P. (2024). Structural characterization of solvent-based food preparation of jellyfish. Soft Matter, 20(3), 495-510. https://doi.org/10.1039/d3sm00620d

Rincón, M. J., Caspersen, A., Thorenfeldt Ingwersen, N., Reclari, M. & Abkar, M. (2024). Flow investigation of two-stand ultrasonic flow meters in a wide dynamic range by numerical and experimental methods. Flow Measurement and Instrumentation, 96, Article 102543. https://doi.org/10.1016/j.flowmeasinst.2024.102543

Doll, U., Kapulla, R., Dues, M., Steinbock, J., Melnikov, S., Röhle, I., Migliorini, M. & K. Zachos, P. (2024). Towards time-resolved multi-property measurements by filtered Rayleigh scattering: diagnostic approach and verification. Experiments in Fluids, 65(1), Article 2. https://doi.org/10.1007/s00348-023-03740-6

Cristóbal, A. B., Narvarte, L., Victoria, M., Fialho, L., Zhang, Z., Sanz-Cuadrado, C. & Bokalič, M. (2023). Igniting University Communities: Building Strategies that Empower an Energy Transition through Solar Energy Communities. Solar RRL, 7(24), Article 2300498. https://doi.org/10.1002/solr.202300498

Zehtabiyan-Rezaie, N. & Abkar, M. (2024). An extended K-ɛ model for wake-flow simulation of wind farms. Renewable Energy, 222, Article 119904. https://doi.org/10.1016/j.renene.2023.119904

Amarloo, A., Rincón, M. J., Reclari, M. & Abkar, M. (2023). Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization. Physics of Fluids, 35(12), Article 125154 . https://doi.org/10.1063/5.0174470

E. S. Chen, P., Bin, Y., I. A. Yang, X., Shi, Y., Abkar, M. & I. Park, G. (2023). A priori screening of data-enabled turbulence models. Physical Review Fluids, 8(12), Article 124606. https://doi.org/10.1103/PhysRevFluids.8.124606

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2023). Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - a data-driven approach. Journal of Fluid Mechanics, 975, Article A34. https://doi.org/10.1017/jfm.2023.881

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). An extended k- ε model for wind-farm simulation. In 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements: Proceedings (pp. 373-378)

Rincón, M. J., Reclari, M., Yang, X. & Abkar, M. (2023). CFD-aided morphing and design optimisation of ultrasonic flow meters. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (pp. 109-114) https://www.ercoftac.org/etmm/program/conference-program/

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Investigation of Data-driven algebraic Reynolds stress models for turbulent secondary flows. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements Proceedings https://www.ercoftac.org/etmm/program/conference-program/

Amarloo, A. (2024). Data-Driven RANS Modelling and Prediction of Turbulent Flows. Aarhus University.

Hansen, C., I.A. Yang, X. & Abkar, M. (2023). A POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions. Journal of Fluid Mechanics, 975, Article A24. https://doi.org/10.1017/jfm.2023.857

Farah, S. & Bruun Andresen, G. (2024). Investment-based optimisation of energy storage design parameters in a grid-connected hybrid renewable energy system. Applied Energy, 355, Article 122384. https://doi.org/10.1016/j.apenergy.2023.122384

Alamia, A. & Bruun Andresen, G. (2023). Power-to-X integration in biogas plants: industrial symbiosis and cost-optimal production of hydrogen and e-methanol: won a best poster award. Poster session presented at Retrospect: GreenLab Summit 2023, Skive, Denmark.

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Article 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Article 100475. https://doi.org/10.1016/j.taml.2023.100475

Farah, S. (2023). Investment-based optimisation of energy storage design parameters in a grid-connected hybrid renewable energy system. Poster session presented at 22nd Wind & Solar Integration Workshop, Lyngby, Denmark.

Rincón, M. J. (2024). Robust Optimisation of Ultrasonic Flow Meters by Computational Fluid Dynamics and Enhanced Turbulence Modelling. Aarhus University.

Neumann, F., Zeyen, E., Victoria, M. & Brown, T. (2023). The potential role of a hydrogen network in Europe. Joule, 7(8), 1793-1817. https://doi.org/10.1016/j.joule.2023.06.016

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