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

Zehtabiyan-Rezaie, N., Perto Justsen, J. & Abkar, M. (2024). Wind-farm power prediction using a turbulence-optimized Gaussian wake model. Wind Energy and Engineering Research, 2, Artikel 100007. https://doi.org/10.1016/j.weer.2024.100007

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

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), Artikel 055906. https://doi.org/10.1063/5.0217320

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

Tørring, P. & Vestergaard, J. B. (2024). Metanol i Fiskeriet: Milepælsrapport . Aquamind A/S.

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/

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, Artikel 102543. https://doi.org/10.1016/j.flowmeasinst.2024.102543

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

Rahdan, P., Zeyen, E. & Victoria, M. (2024). Strategic deployment of solar photovoltaics for achieving self-sufficiency in Europe throughout the energy transition. https://arxiv.org/abs/2410.19440

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.

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

Nozarian, S., Abkar, M. & Forooghi, P. (2024). An analysis of drag reduction using spanwise forcing on rough walls. International Journal of Heat and Fluid Flow, 106, Artikel 109306. https://doi.org/10.1016/j.ijheatfluidflow.2024.109306

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

Mikropoulos, E., Roelfsema, M., Chen, H. H., Staffell, I., Oreggioni, G., Hdidouan, D., Thellufsen, J. Z., Chang, M. A., Fragkos, P., Giannousakis, A., Chatterjee, S., Ürge-Vorsatz, D., Pfenninger, S., Pickering, B., Victoria, M., Brown, T. & van Vuuren, D. P. (2025). Examining pathways for a climate neutral Europe by 2050: A model comparison analysis including integrated assessment models and energy system models. Energy, 319, Artikel 134809. https://doi.org/10.1016/j.energy.2025.134809

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

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. Artikel 111325. https://doi.org/10.1016/j.expthermflusci.2024.111325

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Revideret 19.12.2023

AU Engineering