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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Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Münster, M., Berg Rosendal, M., Madsen, H., Østergaard, J., Morthorst, P. E., Sørensen, P. B., Bruun Andresen, G. & Victoria, M. (2022). Fakta om Atomkraft: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark. https://vbn.aau.dk/ws/portalfiles/portal/491533150/Fakta_om_atomkraft_final.pdf

Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Østergaard, J., Münster, M., Berg Rosendal, M., Madsen, H., Morthorst, P. E., Sørensen, P. B., Bruun Andresen, G., Gøtske, E. K., Pedersen, T. T. & Victoria, M. (2023). Fakta om Atomkraft i Danmark - Version 2: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark. https://vbn.aau.dk/ws/portalfiles/portal/534311584/Fakta_om_atomkraft_V2_FINAL.pdf

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, Artikel 123705. https://doi.org/10.1016/j.apenergy.2024.123705

Zeyen, E., Victoria, M. & Brown, T. (2023). Endogenous learning for green hydrogen in a sector-coupled energy model for Europe. Nature Communications, 14(1), Artikel 3743. https://doi.org/10.1038/s41467-023-39397-2

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Artikel 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). A short note on turbulence characteristics in wind-turbine wakes. Journal of Wind Engineering and Industrial Aerodynamics, 240, Artikel 105504. https://doi.org/10.1016/j.jweia.2023.105504

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

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

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

Yang, J., Velandia, J., Bansmer, S., Stroh, A. & Forooghi, P. (2023). A comparison of hydrodynamic and thermal properties of artificially generated against realistic rough surfaces. International Journal of Heat and Fluid Flow, 99, Artikel 109093. https://doi.org/10.1016/j.ijheatfluidflow.2022.109093

Yang, X. I. A., E. S. Chen, P., Hu, R. & Abkar, M. (2022). Logarithmic-Linear Law of the Streamwise Velocity Variance in Stably Stratified Boundary Layers. Boundary-Layer Meteorology, 183(2), 199-213. https://doi.org/10.1007/s10546-021-00683-5

Yang, J., Stroh, A., Chung, D. & Forooghi, P. (2022). Direct numerical simulation-based characterization of pseudo-random roughness in minimal channels. Journal of Fluid Mechanics, 941, Artikel A47. https://doi.org/10.1017/jfm.2022.331

Yang, H., Ge, M., Abkar, M. & I. A. Yang, X. (2022). Large-eddy simulation study of wind turbine array above swell sea. Energy, 256, Artikel 124674. https://doi.org/10.1016/j.energy.2022.124674

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, Artikel A34. https://doi.org/10.1017/jfm.2023.881

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

Victoria, M., Zeyen, E. & Brown, T. (2022). Speed of technological transformations required in Europe to achieve different climate goals. Joule, 6(5), 1066-1086. https://doi.org/10.1016/j.joule.2022.04.016

Vadrot, A. F., I. A. Yang, X., Bae, H. J. & Abkar, M. (2023). Log-law recovery through reinforcement-learning wall model for large eddy simulation. Physics of Fluids, 35(5), Artikel 055122 . https://doi.org/10.1063/5.0147570

Vadrot, A. F., Yang, X. I. A. & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), Artikel 064603. https://doi.org/10.1103/PhysRevFluids.8.064603

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

Søgaard Kristensen, A., Kruse Sørensen, E., Madsen, C., Kristofersson, J. & Forooghi, P. (2023). Performance analysis of heat pumps with zeotropic mixtures at different load conditions. International Journal of Refrigeration, 145, 264-275. https://doi.org/10.1016/j.ijrefrig.2022.09.028

Sibani, P., Rasmussen, S. & Hansen, P. L. (2022). Human wealth evolution is an accelerating expansion underpinned by a decelerating optimization process. Physica A: Statistical Mechanics and its Applications, 608, Artikel 128286. https://doi.org/10.1016/j.physa.2022.128286

Schwenk-Nebbe, L. J., Vind, J. E., Backhaus, A. J., Victoria, M. & Greiner, M. (2022). Principal spatiotemporal mismatch and electricity price patterns in a highly decarbonized networked European power system. iScience, 25(6), Artikel 104380. https://doi.org/10.1016/j.isci.2022.104380

Schäfer, K., Stroh, A., Forooghi, P. & Frohnapfel, B. (2022). Modelling spanwise heterogeneous roughness through a parametric forcing approach. Journal of Fluid Mechanics, 930, Artikel A7. https://doi.org/10.1017/jfm.2021.850

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

Rincón, M. J., Reclari, M. & Abkar, M. (2022). Turbulent flow in small-diameter ultrasonic flow meters: A numerical and experimental study. Flow Measurement and Instrumentation, 87, Artikel 102227. https://doi.org/10.1016/j.flowmeasinst.2022.102227

Rincón, M. J., Reclari, M., I. A. Yang, X. & Abkar, M. (2023). Validating the design optimisation of ultrasonic flow meters using computational fluid dynamics and surrogate modelling. International Journal of Heat and Fluid Flow, 100, Artikel 109112. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

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

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, Artikel 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

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

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, Artikel 122721. https://doi.org/10.1016/j.apenergy.2024.122721

Pedersen, T. T., Victoria, M., Rasmussen, M. G. & Bruun Andresen, G. (2021). Modeling all alternative solutions for highly renewable energy systems. Abstract fra International Energy Workshop (IEW) 2021, Tyskland.

Pedersen, T. T., Victoria, M., Rasmussen, M. G. & Bruun Andresen, G. (2021). Exploring flexibility of near-optimal solutions to highly renewable energy systems. Abstract fra 48th IEEE Photovoltaic Specialists Conference (PVSC).

Pedersen, M. T., Hansen, P. L. & Clausen, M. P. (2021). Gastronomy unravelled by physics: Gastrophysics. International Journal of Food Design, 6(2), 153-180. https://doi.org/10.1386/IJFD_00029_1

Pedersen, T. T., Gøtske, E. K., Dvorak, A., Andresen, G. B. & Victoria, M. (2022). Long-term implications of reduced gas imports on the decarbonization of the European energy system. Joule, 6(7), 1566-1580. https://doi.org/10.1016/j.joule.2022.06.023

Pedersen, T. T., Andersen, M. S., Victoria, M. & Bruun Andresen, G. (2023). Using Modeling All Alternatives to explore 55% decarbonization scenarios of the European electricity sector. iScience, 26(5), Artikel 106677. https://doi.org/10.1016/j.isci.2023.106677

Pedersen, T. T. (2023). Decision support for renewable energy integration through exploration of near-optimal solutions. Århus Universitet.

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, Artikel 108214. https://doi.org/10.1016/j.cmpb.2024.108214

Niazi, K. A. K. & Victoria, M. (2023). Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe. Progress in Photovoltaics, 31(11), 1101-1113. https://doi.org/10.1002/pip.3727

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

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

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. Afhandling præsenteret på AIAA SciTech Forum and Exposition, 2024, Orlando, USA. https://doi.org/10.2514/6.2024-2831

Lund, H., Zinck Thellufsen, J., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Sørensen, P. B., Bruun Andresen, G. & Victoria, M. (2022). 16 energiforskere fra fem universiteter: Lad os få mere fakta i atomkraftdebatten: Der er ikke behov for atomkraft for at sikre stabilitet i elforsyningen. Det vil kun gøre den dyrere og samtidig forsinke den grønne omstilling, skriver en række forskere i et svar til kernefysikere, som har efterlyst mere helstøbt og åben vurdering af atomkraft i Danmark. . Altinget. https://www.altinget.dk/forsyning/artikel/16-energiforskere-fra-fem-universiteter-lad-os-faa-mere-fakta-i-atomkraftdebatten

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Artikel 236. https://doi.org/10.1145/3567591

Lee, S., Yang, J., Forooghi, P., Stroh, A. & Bagheri, S. (2022). Predicting drag on rough surfaces by transfer learning of empirical correlations. Journal of Fluid Mechanics, 933, Artikel A18. https://doi.org/10.1017/jfm.2021.1041

Kozarcanin, S. & Bruun Andresen, G. (2021). The effect of increased coupling strength between electricity and heating systems in different climate scenarios for Europe. Energy and Climate Change, 2, Artikel 100039. https://doi.org/10.1016/j.egycc.2021.100039

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

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), Artikel 081501. https://doi.org/10.1115/1.4064850

Hansen, C., I. A. Yang, X. & Abkar, M. (2022). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Boundary Layers. I Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) Artikel FEDSM2022-87630, V002T05A023 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/FEDSM2022-87630

Hansen, C., I. A. Yang, X. & Abkar, M. (2023). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Turbulent Boundary Layers. Journal of Fluids Engineering, Transactions of the ASME, 145(6), Artikel FE-22-1510. https://doi.org/10.1115/1.4057016

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, Artikel A24. https://doi.org/10.1017/jfm.2023.857

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Revideret 19.12.2023

AU Engineering